AI isn’t just a buzzword in e-commerce, it’s a business strategy reshaping everything from search results to product recommendations.

With 51% of e-commerce businesses already relying on AI to craft more personalized shopping experiences, the shift is well underway. And the momentum isn’t slowing down: the AI-in-ecommerce market is on track to hit a staggering $22.60 billion by 2032.

Whether it’s powering smarter chatbots, optimizing pricing, or predicting customer behavior, AI is redefining how online retailers compete and grow.

This post breaks down the most eye-opening, up-to-date statistics that show where the industry is now, and where it’s headed next. All data comes from verified and reliable sources, with a full list of citations at the bottom of the article.

1. AI in the e-commerce market is projected to reach $22.60 billion by 2032, at a compound annual growth rate of 14.60% from 2024 to 2032.

(Precedence Research)

The scale of growth in this market signals how deeply AI is becoming embedded in online retail. This isn’t a short-term trend or experiment, it’s a long-term investment with strong momentum.

Companies are putting serious money into AI tools that improve customer experience, boost efficiency, and drive revenue. The CAGR of 14.60% shows consistent trust in AI’s ability to deliver results across the board.

As adoption expands beyond tech giants and into mid-sized and smaller players, this number will likely accelerate. Brands that ignore this shift risk falling behind in a market that’s rapidly being redefined by smart automation.

2. 51% of e-commerce businesses are already using AI to create smoother, more personalized shopping experiences.

(Shopify)

AI has already passed the tipping point from experimental to essential in online retail. More than half of businesses use it to tailor product recommendations, predict customer preferences, and automate support.

This kind of personalization drives conversions and builds loyalty, especially in crowded markets where relevance is everything. The fact that so many companies are already integrating these tools shows how quickly expectations are shifting.

AI makes that scalable. Businesses that haven’t yet adopted it are now outnumbered and outpaced by those who have. The race is no longer about whether to use AI, but how intelligently it’s applied.

3. AI-driven product recommendations are expected to boost e-commerce sales by 59%.

(Shopify)

Product recommendations powered by AI are becoming a major revenue driver. They go beyond basic “you might also like” suggestions by analyzing browsing behavior, purchase history, timing, and even real-time signals.

That level of precision turns casual shoppers into buyers. It shortens decision time and increases cart size without feeling pushy. Retailers are seeing measurable gains from implementing these systems on homepages, checkout pages, and post-purchase emails. 

The boost in sales isn’t just from more products sold, it’s from smarter selling. As algorithms continue to improve, these recommendation engines will only get more effective.

4. The market for AI-powered e-commerce tools is on track to hit $16.9 billion by 2030, making now the time to build with smart tech at your side.

(Market.Us)

The tools behind the AI revolution in ecommerce are becoming a market of their own. From customer service automation to dynamic pricing engines, these technologies are no longer optional upgrades, they’re central to modern retail operations.

The projected value reflects rising demand across businesses of all sizes looking to optimize performance without adding overhead. Platforms are racing to offer plug-and-play solutions that don’t require heavy development teams.

Companies investing early are getting an edge in personalization, efficiency, and scalability. The ones holding back may soon find themselves relying on outdated systems while competitors move faster and smarter.

5. The NLP (natural language processing) segment is expected to exceed $112 billion by 2030.

(PS Research)

NLP is becoming one of the most powerful engines behind customer-facing AI in ecommerce. It powers chatbots that understand real questions, voice assistants that take orders, and search bars that actually return what customers meant.

As online shoppers become more comfortable talking to tech as they would to a real person, demand for smarter, language-savvy systems continues to rise.

Businesses are now leveraging NLP to decode intent, sentiment, and even frustration, enabling faster, more human-like responses. NLP isn’t just supporting e-commerce, it’s shaping how customers interact with brands from the very first click.

6. By 2030, AI is expected to manage 80% of customer interactions, reshaping support, streamlining service, and freeing up your team to focus on growth.

(Shopify)

Customer support is being transformed from a manual, time-heavy task into an always-on, AI-driven engine. Businesses are already shifting from full human teams to hybrid models where chatbots handle the bulk of requests.

These systems can answer questions, resolve issues, and even guide purchases without missing a beat. The volume they can manage at once is unmatched. That level of efficiency cuts costs and response times while improving consistency.

Human agents aren’t being replaced, they’re being freed up to handle complex or high-value conversations. The result is faster service for customers and a leaner support setup for brands. As more companies adopt this model, customers will expect nothing less.

7. Smart product recommendations powered by AI can triple revenue, more than double conversion rates, and increase order values by half.

(Sellers Commerce)

AI takes the guesswork out of product suggestions by using real-time data to predict what each shopper is most likely to buy. It’s no longer about showing what’s popular, but what’s personally relevant.

That relevance drives action. Shoppers feel understood, not sold to, which leads to higher trust and more frequent purchases. The boost in order values comes from well-timed, context-aware upsells that feel natural.

With AI handling the logic behind these offers, businesses can scale personalized selling without overwhelming their teams. The numbers speak for themselves, and they’re only growing.

8. AI makes shopping decisions faster, with a 47% decrease in time to purchase.

(HelloRep)

Speed matters in ecommerce. When customers hesitate, carts get abandoned and sales slip away. AI helps close that gap by guiding shoppers to what they want more quickly.

It does this through personalized search results, predictive filters, and product suggestions that actually match intent. Instead of scrolling through endless pages, buyers are shown the right options faster. This reduces friction and keeps people moving through the funnel.

The shorter decision window also means fewer distractions and less opportunity for competitors to divert attention. For brands, faster purchases lead to smoother funnels and higher sales velocity.

9. Humans still matter. 87% of consumers prefer a hybrid support model that combines human empathy with AI efficiency.

(HelloRep)

People want speed, but not at the cost of connection. While AI excels at quick answers and repetitive tasks, it lacks the emotional intelligence required for sensitive or nuanced situations. That’s where human agents shine.

The most effective support systems now blend the two. AI filters and resolves routine issues, while trained humans step in when matters become personal or complex.

This mix gives customers the best of both worlds: fast resolutions without sacrificing a sense of being heard. The data shows that most people don’t want fully automated help, they want smart support that knows when to pass the mic.

10. According to a report by Barilliance, personalized product recommendations can drive up to 31% of e-commerce site revenues.

(Barilliance)

Personalization is no longer a nice touch, it’s a revenue engine. When shoppers feel like a site “gets” them, they spend more time browsing and more money checking out.

AI-driven product recommendations are doing the heavy lifting here, surfacing items based on behavior, interests, and timing. This approach keeps users engaged without overwhelming them.

Instead of searching for what they need, the right options are delivered directly. That reduces friction and increases purchase intent. The result isn’t just higher average order values, it’s a lift in total revenue.

11. AI-driven personalization can reduce marketing costs by 10% to 30%.

(McKinsey)

Marketing waste adds up fast when messages miss the mark. AI changes that by analyzing customer behavior and targeting campaigns with precision. Instead of blanket promotions, brands can send tailored content to people who actually want it.

This reduces ad spend while boosting response rates. It’s not just about saving money, it’s about spending smarter. With fewer irrelevant impressions and more conversions, every dollar works harder.

Teams can also automate large parts of their campaigns, freeing up time and resources. The brands seeing these savings aren’t cutting corners, they’re letting AI guide the way to better performance at lower cost.

12. Companies that are adept at using AI personalization tools earn 40% more than companies that aren’t.

(HelloRep)

There’s a clear revenue gap between businesses that personalize with precision and those that don’t. AI enables brands to reach customers with the right message at the right time across multiple touchpoints.

This kind of targeting boosts conversion, repeat purchases, and customer lifetime value. The companies pulling ahead are using these tools not just for marketing, but across product discovery, pricing, and customer service.

They’re creating seamless journeys that feel intuitive and tailored. Meanwhile, competitors relying on one-size-fits-all approaches are leaving money on the table. Personalization powered by AI isn’t just a feature, it’s become a measurable growth driver.

13. 64% of marketers who use AI report increased productivity as an essential outcome.

(HubSpot Blog)

AI is doing more than just making marketing smarter, it’s making teams faster. From automating repetitive tasks to generating insights in real time, these tools are clearing space for marketers to focus on strategy and creativity.

Campaigns that once took days can now be built in hours. Reports that used to drain bandwidth are produced instantly. The result is a noticeable shift in how time is spent and where energy goes.

Marketers aren’t just getting more done, they’re spending more time on the work that actually moves the needle. This productivity gain is one of the most consistent reasons teams stick with AI.

14. In the United States, nearly 60 percent of shoppers used ChatGPT for inspiration and about the same number of them used Gemini or ChatGPT to shop online.

(Statista)

AI tools are becoming a go-to companion in the shopping process. Whether it’s generating gift ideas, comparing products, or narrowing down choices, shoppers are turning to platforms like ChatGPT and Gemini to cut through the noise.

This isn’t just about curiosity, it’s about convenience. People are leaning on conversational AI to help them make faster, more informed decisions. The fact that nearly 60 percent are already doing this shows how fast consumer habits are shifting.

Retailers that integrate with these tools or optimize their presence for them are tapping into a new layer of intent. The path to purchase is getting more conversational, and AI is right in the middle of it.

15. Companies leveraging AI are seeing an average revenue increase of 10–12%, and the technology is projected to enhance profitability by 59% by 2035.

(Sellers Commerce)

AI isn’t just improving how businesses operate, it’s directly lifting their bottom line. Revenue increases in the 10–12% range show how fast impact can happen when AI is used to optimize pricing, personalize experiences, and automate processes.

With profitability expected to rise by 59%, this isn’t a short-term boost, it’s a full shift in how value is created. Businesses using AI effectively are uncovering new efficiencies while unlocking growth that would have been impossible through manual methods.

This tech is moving from a helpful tool to a strategic asset driving real financial gains.

16. 51% of company heads report that the performance of products improved after implementing AI in their operations. Another 35% say that the technology helps them make better decisions.

AI is not just transforming the customer-facing side of e-commerce, it’s reshaping internal operations too. When leadership sees product performance rise, it means AI is playing a role in refining design, forecasting demand, or improving quality control.

Better decisions come from faster access to relevant insights. Instead of relying on gut instinct or outdated reports, leaders are turning to real-time data processed by intelligent systems.

This kind of clarity leads to more accurate planning and less costly trial-and-error. The combination of sharper products and smarter decisions shows that AI is delivering value at both strategic and operational levels.

17. About 36% e-Commerce decision-makers believe that AI helps by handling routine tasks, which allows employees to focus on more creative work.

(Sellers Commerce)

Repetitive tasks can drain time and energy from teams that should be focused on innovation.

AI steps in to handle the mechanical side of things, order tracking, customer queries, inventory updates, so people can shift their attention to strategy, storytelling, and growth. This shift isn’t just about saving time, it’s about unlocking talent.

When the routine is offloaded, teams work on ideas that actually differentiate the brand. That’s where competitive advantage comes from.

18. Around 23% of companies use AI to cut down their workforce by automating tasks.

Some businesses are using AI not just to assist teams, but to replace certain roles altogether. When tasks are repetitive, predictable, and easy to digitize, automation becomes a cost-cutting solution.

This move isn’t always about efficiency, it’s often about reducing payroll and scaling operations without hiring. While it can spark debate, the numbers show that a significant portion of companies are leaning into this strategy.

These shifts are most common in areas like customer support, logistics, and basic data handling. It’s a sign of how quickly AI is becoming embedded in day-to-day operations, not just used as a surface-level tool.

19. According to McKinsey, AI-powered forecasting can reduce errors by 30% to 50% in supply chain networks.

(McKinsey)

Forecasting errors can cost ecommerce businesses millions due to overstock, stockouts, and delayed deliveries. AI is helping to clean up that mess by using real-time data and pattern recognition to improve accuracy.

Instead of relying on static models or past trends, AI adjusts predictions as conditions change, whether it’s consumer behavior, weather disruptions, or supplier delays. That flexibility reduces guesswork and tightens the entire supply chain.

Reducing errors by up to half means fewer missed opportunities and smoother fulfillment. For ecommerce, where timing and availability can make or break a sale, these gains directly impact customer satisfaction and profit margins.

20. McKinsey estimates that AI-driven supply chain systems can cut inventory levels by 20–30%.

(McKinsey)

Carrying excess inventory ties up cash and incurs storage costs. AI helps companies run leaner by predicting demand more accurately and adjusting stock in real time.

Businesses can trust intelligent systems to keep supply aligned with need. This reduces waste, frees up capital, and makes the entire operation more responsive. When inventory is optimized, companies move faster and spend less without risking product shortages.

These systems don’t just react, they anticipate. That’s why brands adopting AI in their supply chain are seeing sharper margins and fewer logistical headaches.

21. AI also reduces logistics costs by 5–20% through better planning, routing, and demand sensing.

(McKinsey)

Logistics can erode profits quickly when routes are inefficient or inventory is misaligned. AI tackles these pain points by optimizing delivery paths, predicting demand spikes, and fine-tuning warehouse operations.

That real-time adaptability trims wasted fuel, lowers labor costs, and reduces delays. For e-commerce brands, even small savings in logistics scale quickly as volume grows. 

Companies using AI in this area are finding that it’s not just about cutting costs, it’s about building a faster, smarter, and more resilient operation from the ground up.

22. Smarter procurement by AI helps brands lower purchasing costs by 5–15%.

(Procurement Magazine)

AI is changing how companies buy, not just how they sell. By analyzing supplier performance, market prices, and historical spending, AI helps procurement teams make sharper decisions.

It can flag overpriced deals, recommend better vendors, and even automate negotiations at scale. This kind of insight leads to lower costs without sacrificing quality.

Instead of relying on manual tracking or outdated contracts, brands get real-time visibility into where money is going and where savings are possible. The companies that use AI in procurement are turning purchasing into a strategic advantage.

23. AI-powered forecasting can lead to a 65% reduction in lost sales due to inventory out-of-stock situations.

(McKinsey)

Stockouts don’t just disappoint customers, they directly drain revenue. AI is helping ecommerce brands avoid this by predicting demand with greater accuracy and flagging when inventory needs restocking.

These systems monitor trends, seasonality, and external factors such as regional events and weather to stay ahead of the curve. Instead of reacting to empty shelves, businesses can prevent them entirely.

The result is fewer missed sales and more consistent customer satisfaction. With AI keeping shelves virtual and physical stocked properly, brands are turning what used to be a guessing game into a reliable part of their growth strategy.

24. AI-powered forecasting can lead to a decrease in warehousing costs of around 10 to 40%.

(McKinsey)

Holding excess stock eats up space and money. AI reduces that burden by forecasting demand more precisely, helping businesses store only what they need, when they need

Companies using AI in warehousing aren’t just cutting costs, they’re building smarter systems that support scale without waste. The savings are substantial, especially for high-volume retailers seeking to remain agile in a competitive market.

25. AI-powered forecasting can help businesses reduce inventory costs by up to 75%.

(McKinsey)

Inventory costs go beyond just the price of goods, they include storage, insurance, depreciation, and losses from unsold stock. AI helps shrink those costs by predicting exactly how much to order and when.

It balances supply with real demand, reducing overstock and minimizing waste. This precision leads to fewer markdowns, less spoilage, and tighter cash flow.

Businesses no longer have to play it safe with large buffers. Instead, they rely on data-driven systems that adjust in real time. The result is a leaner, more responsive inventory strategy that protects margins and improves operational health.

26. AI-powered forecasting can improve on-time deliveries by up to 85%.

(McKinsey)

Timely delivery is one of the biggest factors in customer satisfaction. AI improves delivery performance by predicting demand spikes, identifying supply chain bottlenecks early, and optimizing order fulfillment schedules.

These systems adjust quickly to changes, whether it’s a shift in buying trends or a delay at a distribution hub. That flexibility keeps operations running smoothly and ensures products reach customers on time.

Improved timing also reduces the need for costly expedited shipping and last-minute fixes. For ecommerce brands, this kind of consistency builds trust, encourages repeat purchases, and strengthens their reputation in a crowded market.

27. AI-powered forecasting can increase revenue by up to 10%.

(McKinsey)

Accurate forecasting doesn’t just prevent problems, it drives growth. When businesses can anticipate demand more precisely, they avoid missed sales, optimize inventory, and meet customer needs faster.

That leads to better stock availability, fewer delays, and higher customer satisfaction, all of which directly impact revenue. AI helps brands align supply with actual buying behavior, not just projections on paper.

This results in smoother operations and stronger sales cycles. The revenue boost comes from doing more with less waste and fewer errors. For ecommerce companies, it’s a smart way to tighten operations while unlocking more predictable and scalable growth.

28. 63% of consumers find AI-powered product recommendations important.

(Scispace)

Shoppers expect relevance. When browsing online, they want suggestions that match their interests, needs, and habits. AI delivers that by analyzing behavior in real time and offering personalized options that feel curated, not random.

Generic recommendations no longer cut it. When done right, AI-powered suggestions make the experience smoother and more enjoyable, helping people find what they want faster.

For brands, this isn’t just a feature, it’s a trust builder and a key driver of conversion. Ignoring it means falling behind in a customer-first market.

29. 83% of consumers worldwide would browse or buy products in messaging conversations.

(PRNewswire)

Shopping habits are moving into chat windows. Consumers want to ask questions, get recommendations, and complete purchases, all without leaving the conversation. This shift is blurring the line between support and sales.

Brands that use AI to power messaging-based commerce are meeting buyers where they already are: in apps like WhatsApp, Messenger, and live chat tools. It’s fast, convenient, and feels personal.

Instead of clicking through pages, users can shop through a simple back-and-forth. This behavior isn’t niche, it’s global. Businesses that adapt their sales flow to fit inside messaging are tapping into a channel that’s becoming central to how people browse and buy.

30. 78% of eCommerce brands have already implemented AI in their stores or plan to do so.

(Forbes)

AI adoption is no longer limited to early movers. A majority of ecommerce brands are either already using it or actively building toward it. This shows how quickly the technology is becoming standard rather than optional.

Whether it’s for personalization, automation, or analytics, AI is being woven into core operations. The pressure to keep up is real, brands that delay risk falling behind competitors who are using AI to move faster, respond smarter, and sell better.

AI isn’t just the future of e-commerce, it’s becoming the baseline for doing business effectively right now.

31. The worldwide warehouse robotic market is expected to grow to almost $16 billion by 2030.

Automation is transforming warehouses from labor-heavy spaces into high-efficiency hubs. Robots powered by AI are taking on tasks like picking, packing, sorting, and transporting goods with speed and accuracy.

This growth reflects how ecommerce companies are rethinking fulfillment, shifting toward systems that scale without added strain on human labor. As demand rises and delivery expectations tighten, robotic support is becoming essential.

It’s not just about replacing workers; it’s about increasing output, reducing errors, and keeping up with round-the-clock order volumes. The rise in investment shows that smart warehouses are quickly becoming the new normal in global ecommerce.

32. Personalization makes 28% of buyers more likely to buy a product they didn’t mean to buy.

(Slideshare)

AI-driven personalization doesn’t just guide shoppers, it influences them. When buyers see products that match their tastes or habits, they’re more open to impulse purchases. These aren’t random add-ons, they’re well-timed suggestions based on real behavior.

That relevance nudges people toward items they hadn’t planned for but find appealing. It turns casual interest into action. For ecommerce brands, this means more items per cart and higher average order values.

Personalization is no longer just about helping customers find what they want, it’s also shaping what they end up wanting along the way.

33. 83% of executives believe AI is a strategic priority for their businesses today.

(Cisco)

AI isn’t seen as a tech experiment anymore, it’s viewed as central to growth, competitiveness, and long-term success. When leadership makes it a priority, it moves from side projects to core strategy.

This shift impacts hiring, budgeting, product development, and customer experience. Companies aren’t just exploring AI, they’re building roadmaps around it. That level of buy-in signals how vital it’s become to staying relevant.

Whether it’s improving operations or creating smarter customer journeys, AI is influencing decisions at the highest levels. The message is clear: in today’s market, ignoring AI is not a neutral choice, it’s a risk.

34. 75% of executives say AI will allow them to enter new businesses and ventures.

(Cisco)

AI isn’t just about improving what already exists, it’s opening doors to entirely new opportunities. Executives see it as a launchpad for expansion, whether that means tapping into new markets, building smarter products, or creating digital services that didn’t exist before.

With AI handling data, automating processes, and uncovering insights, businesses can move faster and take calculated risks with more confidence. It reduces experimentation costs and shortens time-to-market.

For forward-looking leaders, AI isn’t just a tool for efficiency, it’s a foundation for innovation and growth beyond the core business.

35. AI technologies are projected to increase business productivity by up to 40% in 2035.

(Cisco)

Productivity gains of this scale don’t come from working harder, they come from working smarter. AI automates repetitive, time-consuming tasks, freeing teams to focus on high-value work. It also improves decision-making by turning raw data into clear insights.

This combination of automation and intelligence helps businesses do more with less effort and fewer delays. The compounding effect across departments, marketing, operations, customer service, creates real momentum.

As AI continues to advance, the speed and precision it delivers will make these productivity gains not just possible but expected. For businesses planning ahead, this is a competitive edge that can’t be ignored.

36. AI can potentially lower client acquisition costs by up to 50%.

(MarketingInAsia)

Finding new customers is expensive, especially when campaigns miss the mark. AI fixes that by identifying high-intent audiences, optimizing ad spend, and tailoring outreach to what actually resonates.

Instead of guessing what works, businesses get data-backed strategies that convert faster and more often. It also automates follow-ups and personalizes landing pages, making every touchpoint more effective.

When acquisition becomes smarter, not just broader, costs drop and results improve. Brands using AI aren’t just saving money, they’re building more precise systems that bring in better-fit customers at half the price.

37. Some 43% of Baby Boomers did not wish for AI personalization of their customer journey.

(Statista)

Not every shopper wants their experience shaped by algorithms. For many Baby Boomers, AI-driven personalization can feel intrusive or unnecessary. This group tends to value simplicity, transparency, and control over automation.

When digital journeys feel too tailored, it can trigger discomfort or distrust. That doesn’t mean AI has no place, it just means the approach needs to be more subtle.

Businesses targeting older audiences must balance smart features with clear communication and opt-out options. Respecting preferences like this builds trust and sustains engagement without being overly pushy.

38. The global conversational commerce market is valued at an incredible $8.8 billion. Even more impressively, it’s projected to grow at a CAGR of 14.8%, reaching $32.6 billion by 2035.

(GlobeNewswire)

Conversational commerce is quickly becoming a major force in how people shop online. It blends messaging, voice, and AI to create real-time, guided shopping experiences.

This model simplifies everything, from product discovery to purchase, without forcing users to leave the chat. Growth at this pace shows how strongly customers are embracing direct, conversational buying.

As trust and tech improve, these channels are expected to handle more complex transactions. For brands, this isn’t just a trend, it’s a powerful new way to drive engagement and sales.

39. AI-enabled e-Commerce solutions are estimated to be a US$ 16.8 billion market by 2030.

(Forbes)

This projection highlights how deeply AI is embedding itself into the ecommerce infrastructure. From search and recommendations to fraud detection and fulfillment, AI is powering nearly every touchpoint of the online shopping experience.

The market value reflects rising demand for smarter, scalable tools that give brands an edge. Companies are no longer piecing together basic automation, they’re investing in full-stack AI systems that improve performance across the board.

As these technologies become more accessible, even smaller players are stepping into advanced territory. Growth at this level shows that AI is no longer a feature, it’s the foundation of modern e-commerce.

40. 78% of consumers are more likely to make repeat purchases from businesses that personalize their experience.

(McKinsey)

Personalization turns one-time buyers into loyal customers. When shoppers feel understood, they’re more likely to return, and not just for convenience, but because the experience feels tailored to them.

AI helps deliver that by remembering preferences, suggesting relevant products, and timing follow-ups just right. It creates a sense of familiarity that builds trust. This kind of connection goes beyond the transaction.

It shows customers they’re valued, not just targeted. Brands that invest in personalization aren’t just improving short-term sales, they’re building long-term relationships that compound over time.

41. According to Adobe’s AI and Digital Trends Report, 61% of senior executives agree that boosting customer engagement with personalized experiences will be critical to achieving growth.

(Adobe For Business)

Growth isn’t just about traffic, it’s about connection. Senior leaders recognize that, to scale, brands need to move beyond generic campaigns and deliver experiences that speak to each customer.

AI makes this possible by tracking behavior, segmenting audiences, and serving content that matters to each individual. This level of engagement builds stronger loyalty and increases lifetime value.

The fact that over half of executives view personalization as key to growth underscores its central role in strategy. It’s not just about keeping up, it’s about unlocking the next level of business performance.

42. 33% of e-commerce enterprises will include agentic AI by 2028. Today, less than 1% do so.

(Sellers Commerce)

Agentic AI marks a major leap in e-commerce tech, moving from reactive tools to systems that can act independently on behalf of the user or the business. Right now, it’s just starting to emerge, but the projected adoption shows serious momentum.

These systems can handle complex tasks like managing campaigns, optimizing inventory, or even negotiating pricing, all with minimal human input. The jump from under 1% to 33% reflects growing trust in AI’s ability to operate with autonomy and deliver value.

As use cases expand, brands adopting agentic AI early will set themselves apart with faster, more intelligent operations.

43. Around 70% of consumers said they would use AI agents to purchase flights, and 65% would use them to book hotels and resorts.

(Sellers Commerce)

AI is becoming a trusted travel assistant. Consumers are open to using agents that not only find the best deals but also understand their preferences and simplify the booking process. This shift signals growing comfort with AI making real decisions in high-value purchases. 

It’s not just about saving time, it’s about getting better results with less effort. From comparing airlines to recommending personalized hotel options, AI agents are helping users cut through complexity.

The willingness to rely on these tools indicates that confidence in AI-driven commerce extends far beyond basic retail.

44. 93% of e-commerce businesses see AI agents as a competitive advantage.

(Sellers Commerce)

AI agents aren’t just useful, they’re strategic. Businesses see them as a way to move faster, serve smarter, and operate leaner.

These tools handle everything from customer interactions to backend optimization, giving companies an edge in speed, scale, and personalization. With nearly all ecommerce brands recognizing this potential, AI agents are quickly becoming a baseline for serious players.

It’s not about having the most advanced tech, it’s about having systems that think and act in real time. The brands that adopt early will shape the new standard.

45. eCommerce retailers generate between 10% to 30% of their revenue from suggestive selling in which agentic commerce engines can help a lot.

(Sellers Commerce)

Suggestive selling is a proven revenue booster, and agentic AI takes it to another level. Instead of offering static upsells, these systems analyze shopper behavior in real time and make context-aware suggestions that feel personal, not pushy.

Whether it’s bundling items, recommending upgrades, or prompting timely add-ons, agentic engines respond with precision. This kind of smart selling turns browsing into buying and lifts average order value without overwhelming the customer.

For retailers, tapping into this revenue stream with AI support isn’t just efficient, it’s scalable. The opportunity is clear, and the tech is ready.

46. 58% of Millennial consumers and over 40% of Gen X and Baby Boomer respondents expressed a desire for more personalized product recommendations in e-commerce.

(Sellers Commerce)

Personalization isn’t just for digital natives, it’s becoming a cross-generational expectation. While Millennials lead the way, significant portions of Gen X and Baby Boomers also want tailored shopping experiences that save time and feel relevant.

AI helps meet this demand by analyzing preferences and delivering smarter, adaptive suggestions over time. This shift shows that personalization isn’t a niche preference, it’s becoming standard.

The takeaway for brands is simple: if recommendations aren’t personalized, they’re probably falling short. As expectations rise, so does the need for systems that deliver recommendations shoppers actually want to see.

47. 51% of Millennial consumers and around 40% of Gen Z, Gen X, and Baby Boomer respondents expressed a desire for frictionless payment options in e-commerce.

(Sellers Commerce)

Checkout is make-or-break. Shoppers want speed, simplicity, and flexibility when it’s time to pay, and they don’t want to jump through hoops to get it. This growing demand across generations shows that streamlined payments are no longer a luxury feature.

AI supports this by powering one-click checkouts, secure auto-fill systems, and smart fraud detection behind the scenes. The smoother the process, the fewer abandoned carts and lost sales.

As trust in digital wallets and payment technology rises, ecommerce brands that remove checkout friction are gaining a real edge in both conversion rate and customer satisfaction.

48. A Salsify report shows that 37% of shoppers buy more often when the product content is personalized and high quality.

(Salsify)

Product pages do more than describe, they persuade. When the content speaks directly to the shopper’s needs and preferences, it builds trust and increases buying confidence.

AI plays a key role here by helping tailor descriptions, images, and even reviews based on user behavior. High-quality content doesn’t just inform, it connects. It answers questions before they’re asked and shows the value in ways that feel relevant.

Shoppers are more likely to act when the experience feels curated rather than generic. For e-commerce brands, investing in smarter, more personalized content isn’t just a design choice, it’s a sales strategy.

49. According to Sailthru, 71% of retailers think they’re great at personalization, but only 34% of consumers agree.

(Sailthru)

There’s a clear gap between what brands believe they’re delivering and how customers actually feel. Retailers may see their efforts as advanced, but shoppers aren’t experiencing the same level of relevance or value.

This disconnect highlights a key issue: personalization that looks good on paper doesn’t always translate into impact. AI can close that gap by refining how data is used and improving real-time decision-making.

But it also requires listening to feedback and measuring results from the shopper’s perspective. True personalization isn’t about checking a box, it’s about making each interaction feel intentional

50. Approximately 71% of eCommerce sites offer product recommendations. The number is even higher in Nordic countries where 90% of shoppers have reported finding personalized recommendations on eCommerce sites.

(Sellers Commerce)

Product recommendations have become a standard feature across most ecommerce platforms, and in some regions, like the Nordics, they’re nearly universal. This widespread use shows how essential personalization has become in shaping the shopping experience. 

Customers expect relevant suggestions and to feel guided, not overwhelmed. AI drives this by learning from user behavior and presenting options that make sense in context.

The higher numbers in specific regions also reflect consumer demand, when shoppers are used to personalized touches, they begin to expect them everywhere. Brands that skip this step risk being seen as outdated or out of touch.

51. 91% of consumers are more likely to shop with brands that provide personalized offers and recommendations.

(Sellers Commerce)

Shoppers aren’t just open to personalization, they actively prefer it. When offers and suggestions feel tailored, they’re seen as helpful rather than pushy.

AI makes this possible by analyzing past behavior, preferences, and timing to deliver the right message at the right moment. This kind of relevance builds trust and keeps customers coming back.

It also gives brands a competitive edge in crowded markets with limited attention. With nearly all consumers leaning toward personalized experiences, businesses that fail to offer them risk losing loyalty before the sale even starts.

52. 80% of consumers are more likely to make a purchase when brands offer personalized experiences.

(Sellers Commerce)

Personalization doesn’t just influence preference, it drives action. When shoppers feel seen and understood, they’re more confident in their buying decisions. AI helps deliver that by customizing product displays, messaging, and timing based on real behavior.

It turns generic storefronts into experiences that feel relevant from the first click. Brands that use AI to tailor every touchpoint remove friction and build trust, leading directly to more conversions.

53. 71% of consumers feel frustrated when their shopping experience is not personalized. 66% even say that they would stop purchasing from an e-Commerce site when encountering impersonalized content.

(Forbes)

Lack of personalization isn’t just a missed opportunity, it’s a deal-breaker. When content feels generic, shoppers notice, and many won’t stick around. Frustration builds quickly when the experience doesn’t reflect their interests, past behavior, or needs.

AI solves this by delivering real-time relevance at scale. It ensures that product suggestions, emails, and on-site experiences adapt to each user. Without that, brands risk losing both attention and trust.

In a market where options are endless, relevance isn’t optional, it’s what keeps customers engaged and loyal.

54. Product recommendations can increase revenue by up to 300%, conversions can go up by 150%, and average order value can shoot up by 50%.

(Envive)

The impact of well-executed product recommendations is massive. These aren’t minor lifts, they’re game-changers. AI helps serve suggestions that match customer intent, timing, and behavior with precision.

That relevance turns browsers into buyers and encourages them to spend more while they’re at it. It also keeps users engaged longer, increasing the chance of cross-sells and upsells.

These numbers show why recommendations aren’t just a helpful feature, they’re a powerful sales engine. Brands that get this right are multiplying their results without increasing traffic or ad spend.

55. According to Adobe’s 2025 Digital Trends Report, 65% of senior e-commerce executives believe AI and predictive analytics are key to their growth strategies.

(Adobe)

Growth isn’t happening by chance, it’s being driven by smarter planning and real-time decision-making. Executives are leaning on AI and predictive analytics to identify trends early, personalize experiences, and allocate resources more effectively.

These tools help remove the guesswork and provide leaders with clear direction on next steps. It’s not just about tracking what happened, it’s about acting on what’s likely to happen next.

For companies aiming to scale, this kind of foresight is becoming a non-negotiable part of strategy. AI is moving from a support role to the center stage in shaping how brands grow.

56. Around 80% of online retailers now use some form of AI. Out of these, 33% use it across key operations, while 47% are still testing or rolling it out.

 (Litslink)

AI adoption is well past the early stages in ecommerce. Most retailers have at least started integrating it, with a third already using it deeply across their operations, covering everything from personalization to logistics.

Another large group is in the testing phase, signaling that full-scale deployment is only a matter of time. This shift shows how AI is becoming a foundational part of retail infrastructure.

Brands are moving beyond experiments and building systems that leverage AI to deliver real results. The race now is about speed of execution and depth of integration, not whether to use AI at all.

57. Over 60% of retailers plan to increase their investment in AI infrastructure within the next 18 months.

(Nvidia)

Retailers aren’t just using AI, they’re doubling down on it. The next wave of growth is being built on stronger infrastructure, from faster data pipelines to more advanced machine learning models.

This planned investment reflects growing confidence in AI’s ability to drive long-term value. It also shows a shift from a scattered set of tools to integrated systems that support everything from personalization to supply chain automation.

As more brands commit serious resources, the gap will widen between those scaling with AI and those still stuck in pilot mode. The pressure to invest smartly and soon is rising rapidly.

58. A McKinsey survey found that 78% of businesses now use AI in at least one function.

(McKinsey)

AI has moved from hype to habit. The fact that most businesses are using it in at least one area shows how embedded it’s become in day-to-day operations.

Whether it’s for marketing, customer support, supply chain, or analytics, AI is already doing real work behind the scenes. This widespread use reflects growing trust in its impact and reliability.

Companies aren’t waiting for perfect conditions, they’re finding ways to apply AI where it adds immediate value. It’s no longer about experimenting. It’s about execution. Those not using AI at all are quickly becoming the exception, not the norm

59. 33% of B2B eCommerce companies in the United States have fully implemented AI in their operations while 47% say they are evaluating the technology.

(Sellers Commerce)

AI is gaining serious traction in B2B ecommerce, a space once dominated by manual processes and outdated systems.

A third of companies have already made the leap to full implementation, using AI to streamline operations, personalize buyer journeys, and improve forecasting. Meanwhile, nearly half are actively exploring how to bring AI into their workflows.

This shows a clear shift in mindset, AI is no longer seen as just for B2C or tech-first brands. It’s becoming essential for any business looking to stay competitive, scale efficiently, and deliver smarter digital experiences across complex buying cycles.

60. On the other hand, 3% of B2B eCommerce organizations say they have no intention to use Artificial Intelligence.

(Sellers Commerce)

While most of the industry is moving toward AI, a small segment is choosing to sit it out—for now. This minority may be held back by cost concerns, lack of internal expertise, or hesitation around change.

But with AI becoming central to everything from customer engagement to logistics, staying out of the game could mean falling behind fast. The gap between adopters and holdouts will only widen as AI tools become more accessible and powerful.

In a competitive B2B space, ignoring AI isn’t just conservative, it’s risky.

61. The volume of businesses adopting AI has grown by 270% since 2019.

(AI Business)

AI adoption isn’t growing steadily, it’s exploding. A 270% increase in just a few years shows how rapidly companies are shifting priorities to include smarter, data-driven tools. What started as an edge for innovators has become a mainstream necessity across industries.

This surge reflects the pressure to stay competitive in fast-moving markets, where speed, personalization, and automation can no longer be optional. Businesses that adopted early are already reaping the rewards, while others are racing to catch up.

The message is clear: AI isn’t emerging, it has arrived, and it’s scaling fast.

62. 34% of Amazon sellers are using AI the most for writing and optimizing listings. Another 14% say they use the technology for creating marketing and social media content. 7% of Amazon sellers even use Artificial Intelligence for keyword research and improving SEO.

(E-Marketer)

AI is becoming a core tool for Amazon sellers looking to stand out in a hyper-competitive marketplace. The majority are using it to sharpen product listings, making titles, bullet points, and descriptions more compelling and searchable.

Others are extending AI into content creation, automating campaigns and social posts to keep audiences engaged without burning time.

Even keyword research, once a manual grind, is getting smarter with AI-driven insights that help sellers rank higher and reach the right buyers. These numbers show that sellers aren’t just testing AI, they’re relying on it to drive visibility, clicks, and conversions.

63. As per a Statista study, nearly half of the retail companies in the US are expected to use artificial intelligence (AI) for marketing. Chatbots and virtual shopping assistants are also popular, with 31.4% of respondents mentioning using them.

(Sellers Commerce)

Retailers are leveraging AI not just for backend efficiency but also to sharpen how they connect with customers. Almost half are using it to personalize campaigns, segment audiences, and drive better engagement.

On the customer-facing side, tools like chatbots and virtual shopping assistants are becoming common. These AI features provide shoppers with fast, accurate answers and tailored recommendations without human assistance.

The adoption of these technologies shows a shift toward smarter, always-on marketing that works at scale. Retailers that embrace both automation and experience are building a stronger presence where it matters most.

64. 44% of CEOs said that data security and privacy were the biggest challenges in using AI-based solutions in their companies, 53% of managers and employees shared this concern.

As AI systems process more customer and business data, concerns around privacy and security are rising fast. Leadership and frontline teams alike recognize that without strong safeguards, AI can open the door to major risks.

From data leaks to compliance issues, trust in the tech hinges on how well it’s protected. These concerns aren’t slowing adoption, but they are shaping how companies implement AI.

Security is no longer an afterthought, it’s a core part of the conversation. Businesses that prioritize protection early are better positioned to scale AI with confidence and credibility.

65. Additionally, 43% of employees highlighted a lack of knowledge, understanding, or expertise in using AI tools as a major issue.

Adopting AI is only half the battle, knowing how to use it effectively is where many teams get stuck. Nearly half of employees report not fully understanding the tools being introduced, which slows progress and limits impact.

This skills gap creates friction, reduces confidence, and can lead to underused or misused systems. Training and education are critical to turning AI from a shiny upgrade into a real advantage.

When teams are equipped with the right knowledge, they can use AI to make better decisions, streamline work, and unlock its full potential.

66. According to NVIDIA, 97% of retailers plan to increase their AI spending in the next fiscal year.

(NVIDIA)

This near-unanimous investment signal shows just how central AI has become to retail strategy. Retailers are not only using AI, but they’re also actively scaling it.

Whether it’s for improving personalization, enhancing logistics, or sharpening marketing performance, brands are betting big on AI to drive growth and efficiency. The commitment to increased spending also reflects confidence in the results these technologies deliver.

It’s no longer about testing small tools, it’s about building smarter infrastructure that supports future innovation. In a market this competitive, standing still is not an option.

67. A survey among the United States shoppers found that only 74% of shoppers felt that artificial intelligence (AI) enhanced their shopping experience. Meanwhile, 6% said it made their experience worse, and 21% thought it didn’t change their experience at all.

(Sellers Commerce)

Most shoppers see value in AI, but not everyone’s convinced. While a strong majority report better experiences with AI in the mix, there’s still a meaningful group who feel neutral or even negatively impacted. This signals a need for thoughtful execution.

If AI feels clunky, irrelevant, or overly aggressive, it can do more harm than good. The goal isn’t just to use AI, it’s to use it in ways that genuinely improve the journey.

Listening to feedback, refining how AI is applied, and maintaining transparency will be key to winning over the skeptics and keeping the majority engaged.

68. 9% of male and 10% of female US shoppers said that AI improved their shopping experience while 13% of male and 15% of female shoppers said AI made their shopping experience worse.

(Sellers Commerce)

These numbers suggest a more mixed reaction to AI at the individual level, with improvement rates lower than expected and dissatisfaction slightly higher among women.

The gap indicates differences in how AI is experienced across genders, potentially in relevance, tone, or usability. It also highlights that implementation quality matters. If AI feels impersonal or inaccurate, it can backfire.

Brands need to go beyond automation and focus on how these systems actually feel for different user groups. Personalization isn’t just about content, it’s also about delivery, nuance, and trust.

69. 22% of male and 20% of female US shoppers said their shopping experience stayed the same after AI usage.

(Sellers Commerce)

For a notable share of shoppers, AI hasn’t moved the needle. This neutral response suggests that while the technology is present, it’s not always noticeable or impactful.

If AI runs in the background without clear benefits, customers may not associate it with a better experience. This is a missed opportunity. For AI to add value, it needs to show up in ways that are helpful, visible, and personalized.

When users don’t see a difference, it’s a sign that the tech might be underdelivering or poorly integrated. Smart AI should feel intuitive, not invisible.

70. Bain & Company reports that 95% of U.S. companies now use some form of generative AI, such as large language models or image-generation tools.

(Bain & Company)

Generative AI has gone mainstream in U.S. business. Nearly every company is now leveraging tools like language models and image generators to enhance operations, content, or communication.

These tools are being used to write copy, brainstorm product ideas, create visuals, and streamline workflows. The scale of adoption shows how quickly businesses have moved from testing to integrating.

It’s not just tech companies, generative AI is becoming a core part of how teams across industries work smarter and faster. The focus now is on depth of use and driving measurable outcomes, not just experimentation.

71. Chatbots alone increase retail sales by 67%.

(Forbes)

Chatbots aren’t just support tools, they’re serious sales drivers. By answering questions instantly, guiding users through product choices, and handling objections in real time, they help shoppers move from hesitation to checkout without dropping off.

AI-powered bots work 24/7, scale without limits, and never miss a beat. Their presence reduces friction and boosts confidence, especially for first-time buyers.

The lift in sales comes from speed, convenience, and the ability to keep customers engaged at critical decision points. For retailers, a well-trained chatbot isn’t a nice-to-have, it’s a high-impact part of the sales team.

72. Gartner found that 54% of organizations are now using some form of chatbot, virtual customer assistant (VCA), or conversational AI for customer-facing roles.

(Gartner)

More than half of organizations are now putting AI directly in front of customers. Chatbots, VCA, and conversational AI are taking on roles once handled exclusively by human teams, from answering common questions to assisting with orders and returns.

These tools reduce wait times, increase availability, and provide consistent service across time zones and channels. Adoption at this scale shows growing trust in AI’s ability to represent the brand well.

When designed right, these systems don’t just deflect tickets, they improve experience and free up human agents for more complex needs.

73. In a separate Gartner study, only 17% of billing disputes were resolved by customers who used a chatbot at any point during the process.

(Gartner)

While chatbots excel at simple tasks, this statistic highlights their limits, especially on complex or sensitive issues such as billing disputes. A low resolution rate signals gaps in understanding, escalation paths, or access to full account data.

When customers hit a wall with a bot, frustration grows fast. It also erodes trust in the brand’s support. This highlights the need for smarter routing and better human fallback systems.

AI should enhance service, not block it. For high-stakes interactions, companies must ensure that chatbots know when to hand off the conversation, not try to control it.

74. Chatbot-assisted return or cancellation requests saw much higher success rates, up to 58%.

(Master Of Code Global)

When the task is straightforward and rule-based, chatbots shine. Handling returns or cancellations is one of those areas where automation works well, fast responses, simple workflows, and minimal confusion.

A 58% success rate indicates that bots are effective when configured for clear, repetitive processes. They reduce wait times, remove friction, and keep customers in control without requiring escalation.

For e-commerce brands, this means smoother post-purchase experiences and reduced strain on support teams. The key is to focus chatbot use where it adds real value, tasks that don’t require deep context but still matter to the customer.

75. According to Gartner, AI-powered chat features deliver a 4x boost in conversions. Users who engage with chat tools convert at 12.3%, compared to only 3.1% for those who don’t.

(Gartner)

Chat isn’t just for customer service, it’s a conversion tool. When users interact with AI chat features, they’re more engaged, more informed, and more likely to buy. The difference in conversion rates is significant, demonstrating that guided experiences drive action.

Chat tools can answer questions, recommend products, and clear up hesitation, all in real time. That interaction builds confidence and reduces drop-off.

For e-commerce brands, adding chat isn’t just about support, it’s about creating a more interactive sales path that directly drives revenue.

76. 64% of AI-powered sales come from first-time shoppers.

(REP)

AI is playing a key role in turning new visitors into customers. By offering smart recommendations, personalized content, and responsive support from the first click, AI helps build trust quickly.

First-time shoppers often need more guidance, and AI delivers that at scale, without friction. This stat shows how well-designed AI experiences can close the gap between interest and purchase, even without prior brand loyalty.

For e-commerce businesses, this isn’t just about tech, it’s about using AI to make strong first impressions that convert.

77. Shoppers who return to a site and use AI chat during their session spend 25% more than returning customers who don’t.

(HelloRep)

Returning customers already have some level of trust, but AI chat helps deepen it. When shoppers engage with chat tools, they receive faster responses, better recommendations, and a more tailored experience.

That added support leads to larger carts and more confident purchases. It removes guesswork and speeds up decision-making. For brands, this statistic shows that AI chat isn’t just for first-time visitors, it’s a revenue driver for loyal customers, too.

It turns return visits into higher-value sessions by offering real-time, helpful interaction that feels personal.

78. 80% of retail and e-commerce businesses use AI chatbots or plan to use them in the near future.

(Sellers Commerce)

Chatbots have gone from optional to expected. Most retail and ecommerce brands either have them in place or are actively working to add them.

The reasons are clear, chatbots reduce support load, guide purchases, and improve response times without increasing headcount. They’re also available 24/7, which meets the always-on expectations of modern shoppers.

As more platforms offer plug-and-play AI chat tools, adoption is accelerating across businesses of all sizes. This level of buy-in shows that chat isn’t just a feature anymore, it’s becoming a core part of how e-commerce operates.

79. Chatbots will be the main customer service tool for 25% of companies by 2027.

(Gartner)

Support is shifting fast, and chatbots are taking the lead. A quarter of companies are expected to rely on them as their primary customer service channel within a few years.

That’s not just about cutting costs, it’s about meeting demand for instant, around-the-clock help. AI-powered chat can handle high volumes, deliver consistent answers, and resolve common issues promptly.

For many companies, it’s becoming the most efficient way to scale service without sacrificing speed or availability. As chatbot tech continues to improve, this number is likely to climb even higher.

80. AI is projected to handle 80% of all customer interactions by 2030.

(Gartner)

The future of customer service is largely automated. As AI systems grow more capable, they’re taking over the bulk of interactions, from answering FAQs to resolving issues and guiding purchases.

Handling 80% of customer touchpoints means AI won’t just support teams, it will be the front line. This shift allows businesses to serve more people, more efficiently, without scaling human resources at the same pace.

It also raises the bar for speed and consistency across channels. Brands that build strong AI systems now will be better positioned to meet rising expectations and reduce pressure on their support teams.

81. 24% of US consumers regularly use chatbots while shopping.

(Sellers Commerce)

Nearly a quarter of shoppers are already turning to chatbots as part of their buying routine. Whether it’s asking about product details, checking availability, or getting help with returns, chat is becoming a go-to tool.

This regular use signals a shift in how people expect to interact with e-commerce sites, less clicking, more conversing. It also shows growing comfort with AI handling real-time questions.

For businesses, this behavior isn’t something to prepare for, it’s happening now. Smart chatbot design can turn casual help into real sales and scalable support.

82. 61% of U.S. consumers feel that chatbots save their time because they are available around the clock. Additionally, 45% of respondents value chatbots for providing immediate answers to their questions.

(Sellers Commerce)

What shoppers want most is speed and convenience. Chatbots deliver both by being always available and instantly responsive. Consumers appreciate not having to wait for business hours or sit in long queues for simple answers.

The ability to get help on demand, even late at night, makes a real difference in satisfaction. Quick responses also keep the shopping flow moving, reducing drop-offs and abandoned carts.

These benefits explain why more people are embracing chatbots not just as support tools, but as essential parts of a smooth online shopping experience.

83. Shoppers complete purchases 47% faster when assisted by AI.

(HelloRep)

AI removes the guesswork from buying. By guiding shoppers to the right products, answering questions instantly, and streamlining navigation, it shortens the path from browsing to checkout.

This speed matters, especially when attention spans are short and distractions are everywhere. Faster decisions lead to fewer abandoned carts and a smoother customer experience.

For retailers, that means higher conversion rates and more efficient sales cycles. When AI is done right, it doesn’t just help people shop, it helps them shop smarter and quicker.

84. When shoppers are greeted by an AI assistant rather than having to initiate the chat themselves, nearly 45% engage with the bot.

(HelloRep)

Proactive engagement makes a difference. When AI assistants initiate the conversation instead of waiting for the shopper to reach out, interaction rates go up significantly. That first move signals helpfulness and reduces hesitation.

It also makes the shopping experience feel more guided, especially for users who may be unsure where to start. For brands, this simple shift leads to higher engagement, more questions answered, and more chances to convert.

It’s not just about having a chatbot, it’s about designing it to act at the right moment.

85. 35% of abandoned carts are recovered via AI chat.

(HelloRep)

Cart abandonment is one of e-commerce’s biggest revenue leaks, and AI chat is plugging the gap.

By re-engaging shoppers with personalized prompts, answering last-minute questions, or offering timely incentives, AI bots help bring customers back before the sale is lost. This kind of follow-up feels natural and immediate, not intrusive.

Recovering over a third of abandoned carts shows just how effective the right message at the right time can be. For brands, it means turning lost intent into real revenue, automatically.

86. Walmart’s 2025 Retail Rewired Report revealed that 54% of shoppers believe digital assistants save time when shopping in-store.

(WalMart)

Even in physical retail, AI is making an impact. More than half of shoppers say digital assistants help them find what they need faster, cutting down on time spent wandering aisles or waiting for help.

These tools provide real-time guidance, product information, and inventory checks, all accessible via a phone or kiosk. It blends the convenience of online shopping with the hands-on experience of a store.

For retailers, it’s a way to enhance service without adding more staff. As in-store tech grows, so does customer expectation for speed and efficiency, powered by AI.

87. 46% of respondents said they are unlikely to let a digital assistant manage their entire shopping trip.

(HelloRep)

While digital assistants are gaining traction, many shoppers still want control over their in-store experience. Nearly half aren’t ready to hand over the full journey to AI, preferring to make key decisions themselves.

This reflects a trust gap and a desire for flexibility, people want help, not hand-holding. It’s a reminder that, as AI improves, it should support, not replace, human decision-making.

For retailers, the opportunity lies in offering choice: assist when needed, but never overstep. Respecting that balance builds comfort and long-term adoption.

88. While only 33% of consumers report that they think they use AI, in reality, 77% turn to AI-powered services or devices.

(Pega)

There’s a major disconnect between perception and reality. Most consumers underestimate how often they’re interacting with AI, whether it’s through recommendations, voice assistants, or smart search features.

This gap shows that AI has become so seamless that many people don’t even recognize it. It’s already baked into the apps, tools, and platforms they use daily.

For brands, this highlights two things: AI is already shaping behavior behind the scenes, and transparency around its use can build greater trust. When people understand the value AI brings, they’re more likely to welcome it.

89. A recent 2025 Omnisend survey of 1,026 U.S. shoppers found that just 34% are willing to let AI assistants make purchases on their behalf.

(Omnisend)

Trust is still a barrier when it comes to handing over full control. While AI is widely used for recommendations and support, most shoppers aren’t ready to let it make final purchase decisions. Only a third feel comfortable with that level of autonomy.

This hesitance points to concerns around accuracy, preferences, and the fear of getting it wrong. For AI adoption to deepen, brands will need to focus on transparency, control, and enabling users to review or approve suggestions before transactions occur.

90. 40% of shoppers express frustration over the absence of human assistance in AI-powered customer service.

(HelloRep)

AI can handle a lot, but it can’t replace the need for human support in every situation. A significant portion of shoppers get frustrated when they can’t escalate to a real person, especially when their issue is complex or sensitive.

This stat highlights the importance of balance. AI should streamline the experience, not wall it off. Smart systems need smart handoffs, giving users the option to connect with a human when automation falls short.

For businesses, blending AI efficiency with human empathy is what keeps service both scalable and satisfying.

91. 21% of consumers doubt the dependability of AI-generated recommendations.

Not all shoppers are sold on AI’s accuracy. A notable share still questions whether the suggestions they’re getting are truly relevant or trustworthy.

This skepticism often comes from experiences with poor recommendations, generic product matches, or a lack of transparency in how choices are made. It’s a reminder that personalization isn’t just about showing more, it’s about showing better.

To earn trust, AI systems need to consistently deliver value and relevance. For brands, building confidence in AI recommendations is key to turning curiosity into conversions.

92. According to eMarketer, visual searches increased by 70% globally in the past year.

(e-Marketer)

Shoppers are moving beyond keywords. Visual search is gaining ground fast, giving users the ability to find products by uploading photos or screenshots instead of typing descriptions. A 70% global surge shows how quickly this behavior is catching on.

It’s especially useful for items that are hard to describe, like fashion, furniture, or home decor. AI powers these searches by analyzing images and matching them to products with speed and accuracy.

For retailers, enabling visual search isn’t just about convenience, it’s about meeting a growing demand for faster, more intuitive discovery.

93. Only 10% of U.S. adults currently use visual search regularly.

(e-Marketer)

Despite its rapid growth, visual search is still in the early stages of adoption. Just one in ten U.S. adults use it regularly, showing there’s plenty of room to grow. The gap between rising global usage and domestic habits suggests a mix of unfamiliarity and underpromotion.

For e-commerce brands, this is an opportunity to lead, educating users and integrating visual search into the shopping experience before it becomes standard. As tools improve and awareness grows, regular use is likely to climb fast. Early movers will have the edge

94. eMarketer research found that 22% of 16 to 34-year-olds have used visual search to discover or buy products, compared to just 5% of those over 55.

(e-Marketer)

Younger shoppers are far more likely to use it as a discovery and purchase tool, especially for visually driven products such as fashion and home decor. They’re comfortable snapping a photo or uploading an image to instantly find similar items.

In contrast, older consumers are slower to adopt, often sticking to traditional text-based search.

This divide highlights where brands should focus education and innovation, meeting younger buyers where they are, while making visual tools more accessible and intuitive for others. As the tech matures, the gap could narrow, but right now, the trend is youth-led.

95. Globally, 37% of shoppers are making voice-enabled purchases online, and that number jumps to 48% among social media users.

(DHL)

Voice commerce is no longer a novelty, it’s becoming part of how people shop. A growing number of consumers are using voice assistants to search, compare, and buy products without touching a screen.

Among social media users, adoption is even higher, showing how closely voice is tied to mobile-first behavior and on-the-go convenience. This trend points to a future where speed and ease drive buying decisions.

For ecommerce brands, optimizing for voice search and voice-enabled checkouts is a smart move toward meeting shoppers where they’re headed next.

96. According to DHL’s E-commerce Trends Report, 7 in 10 shoppers say they want smarter, more personalized shopping features.

(DHL)

Shoppers aren’t just accepting personalization, they’re actively asking for more of it. From tailored product suggestions to dynamic pricing and predictive offers, consumers expect e-commerce experiences to feel relevant and intuitive.

This demand is pushing brands to go beyond basic segmentation and embrace real-time, AI-driven personalization. When the shopping journey feels custom-built, trust goes up and friction goes down.

For retailers, meeting this expectation isn’t just about tech, it’s about creating experiences that feel thoughtful and human at scale.

97. A Five9 survey showed that 59% of consumers are open to using a chatbot for faster service.

(Five9)

Speed is a top priority for today’s shoppers, and more than half are willing to use chatbots if it means getting quicker help. This stat reflects growing comfort with AI-powered support, especially for simple questions and routine tasks.

Consumers aren’t necessarily looking to avoid human interaction, they just want answers without the wait. When bots are fast, accurate, and easy to use, they improve satisfaction and reduce pressure on support teams.

For businesses, this is a clear signal to invest in AI that prioritizes both speed and usability.

98. 86% of consumers say empathy and emotional connection matter more than speed.

(HelloRep)

While speed matters, it’s not everything. The vast majority of consumers still value feeling understood over getting fast answers. This stat shows that even in a tech-driven world, emotional connection is key to building trust and loyalty.

AI-powered tools that respond quickly but miss the tone or context risk alienating customers. What shoppers want is support that’s not only efficient, but also human in its delivery.

For brands, the challenge is clear: combine the speed of AI with design that respects empathy, nuance, and care.

99. According to Cisco, 89% of consumers believe the best support experience combines human empathy with AI efficiency.

(e-Marketer)

Customers don’t want to choose between fast and human, they want both. The ideal support experience blends the speed and availability of AI with the understanding and flexibility of human agents.

This stat makes it clear: empathy still matters, even in a digital-first world. AI should handle the routine, while humans step in for complex or emotional issues. When brands strike that balance, they build deeper trust and deliver support that feels both smart and personal.

It’s not about replacing people, it’s about using AI to elevate the whole experience.

100. Only 26% of consumers trust organizations to use AI responsibly.

(Qualtrics)

Trust is the missing piece in many AI strategies. Most consumers still question how their data is used, whether decisions are fair, and if AI is working in their best interest. This low confidence reflects growing concerns around privacy, transparency, and accountability.

For brands, using AI isn’t enough, they have to show they’re using it right. That means clear communication, ethical design, and giving users control when it matters. Without trust, even the smartest AI won’t deliver long-term loyalty.

101. 46% of consumers are comfortable using AI for specific tasks like checking order status or getting medical advice.

(Shopify)

Consumers are drawing boundaries with AI. Nearly half are open to using it for straightforward, task-based needs, things like tracking packages or getting quick health tips.

These are areas where speed and accuracy matter most, and emotional nuance is less critical. This stat shows where trust in AI is currently strongest: when it’s used as a helpful tool, not a decision-maker.

For businesses, the takeaway is clear: deploy AI where it makes life easier, not where it overreaches. Respecting that line builds comfort and long-term adoption.

102. Nearly half of customers feel AI agents can show empathy when handling their concerns.

(ZenDesk)

Perceptions around AI are shifting. What was once seen as cold and robotic is now, for many, capable of delivering emotionally aware support. Nearly half of customers believe AI agents can express empathy, at least well enough to feel understood.

This shows progress in how conversational design and natural language processing are being used to mimic human tone and responses. While it’s not perfect, the experience is improving.

For businesses, this opens the door to more meaningful interactions at scale, without losing the human touch entirely.

103. According to NVIDIA, 42% of retailers use generative AI for marketing and advertising.

(NVIDIA)

Retailers are turning to generative AI to power campaigns that are faster, smarter, and more tailored. From writing product descriptions to generating ad copy and visual content, these tools are helping teams create at scale without sacrificing quality.

The fact that nearly half of retailers are already using AI this way shows how quickly it’s becoming a core part of the marketing playbook.

It’s not just about efficiency, it’s about delivering fresh, personalized content that resonates. In a crowded market, generative AI is giving brands a creative edge.

104. Among consumers who have used generative AI, 75% believe it will soon change their customer service experiences.

(ZenDesk)

People who’ve interacted with generative AI already see where it’s heading, and they expect it to reshape how support works. From smarter responses to faster resolutions, these users believe AI will soon play a bigger role in how brands handle customer service.

 This level of expectation signals growing confidence in the technology’s ability to understand, respond, and assist more naturally. For businesses, it’s a push to upgrade their support systems before customer expectations outpace the experience.

Generative AI isn’t a future trend, it’s a present-day shift already in motion.

105. 68% of consumers expect chatbots to deliver the same expertise and quality as highly skilled human agents.

(ZenDesk)

Expectations for AI have leveled up. Most consumers now want chatbots to match the clarity, knowledge, and professionalism of top-tier human support. This shift means surface-level scripts and generic replies won’t cut it anymore.

Chatbots need to be deeply informed, context-aware, and capable of handling complex questions with precision. It’s a high bar, but also a clear opportunity.

Brands that invest in well-trained, high-performing AI agents can meet these rising expectations and turn support into a serious competitive advantage.

106. About 90% of large companies have tried using AI in their supply chains, and 29% say they plan to invest a lot in this area over the next three years.

(Sellers Commerce)

AI is already a major force in supply chain strategy for big companies. Most have tested it, and nearly a third are gearing up to double down with significant investments.

From demand forecasting to route optimization and warehouse automation, AI is helping brands gain speed, reduce costs, and adapt faster to disruptions. These systems transform supply chains from reactive to predictive, giving companies greater control and visibility.

The planned investment shows that AI isn’t a side project anymore, it’s a core driver of operational success.

107. The AI in the supply chain market is projected to continue growing at a CAGR of 28.2% and reach $40.53 billion by 2030.

(PR Newswire)

AI is becoming the backbone of modern supply chains. With a growth rate this steep, it’s clear that companies are betting big on smarter, more agile logistics.

As demand for real-time tracking, predictive planning, and automated fulfillment grows, so does the need for powerful AI systems capable of handling complexity at scale.

The projected $40.53 billion market shows how essential AI is becoming, not just for efficiency, but for resilience and competitiveness. Brands that invest now are building supply chains that can adapt, scale, and thrive in a fast-moving world.

108. AI-enabled supply chain planning increased revenue by up to 4%, reduced inventory by up to 20%, and lowered supply chain costs by up to 10%.

(McKinsey)

The impact of AI on supply chain planning isn’t theoretical, it’s measurable. Smarter forecasting leads to tighter inventory control, resulting in less waste and greater availability when it counts.

At the same time, AI identifies cost-saving opportunities across sourcing, logistics, and fulfillment. The revenue lift comes from better alignment between supply and demand, fewer stockouts, and improved service levels.

These gains show how AI transforms the supply chain from a cost center into a growth engine. It’s precision at scale, and the results are hard to ignore.

109. 38% of businesses globally think AI adoption in the supply chain is critical, while 30% say they are ready for widespread adoption of the technology.

(Sellers Commerce)

 AI in the supply chain is moving from opportunity to necessity. Over a third of businesses now see it as critical to staying competitive, yet only 30% feel fully prepared to scale it.

This gap highlights both urgency and hesitation, companies know what’s needed, but may lack the infrastructure, skills, or strategy to implement at scale.

Bridging that gap will be key in the years ahead. The businesses that invest early in readiness will lead, while others risk falling behind in agility, efficiency, and cost control.

110. The Indian AI market in retail and e-commerce is expected to reach INR 16,929.87 million by 2028.

(PR Newswire)

India’s retail and ecommerce sectors are rapidly embracing AI, and the market growth reflects that shift. From hyper-personalized shopping to automated logistics, businesses are using AI to scale faster and serve smarter.

The projected value shows how critical this technology has become in one of the world’s fastest-growing consumer markets. With a rising digital-first population and increasing mobile commerce, AI is helping brands meet demand with precision and speed.

This growth isn’t just about tech, it’s about building a smarter retail future tailored to the needs of a massive, diverse customer base.

What are the latest AI trends in e-commerce this year?

Did you know that the global market for AI in retail is expected to increase to $31.18 billion in 2028?

Crazy, right?

Currently, over 50% of e-commerce businesses have adopted AI technologies to enhance their operations.

This is a SIGN that there’s a future for AI in e-commerce. And I’m very excited about this!

With the help of AI technology, e-commerce platforms are becoming more innovative, more personalized, and more efficient than ever before! The possibilities seem endless, from chatbots providing instant customer support to AI algorithms predicting consumer preferences. 

Want to discover how AI is shaping the future of online shopping, enhancing customer experiences, and revolutionizing how businesses operate?

In this article, I gathered the most intriguing AI in e-commerce statistics to help improve your e-commerce business right now. 

🔑 Key AI in E-Commerce Statistics:

General AI in E-commerce Statistics

1. Although the global market for AI in retail was worth $4.84 billion in 2021, it is projected to increase to $31.18 billion in 2028. 

(Statista)

2. 61.4% of marketers have used AI in their marketing operations. 

(Influencer Marketing Hub)

3. According to a report by Barilliance, personalized product recommendations can drive up to 31% of e-commerce site revenues

(Barilliance) 

Personalized recommendations are tailored to a customer’s behavior and profile, making them more engaging and relevant. By displaying personalized recommendations, you can encourage customers to explore more products, make additional purchases, and return for more shopping in the future. 

If you’re an online store owner, it’s worth considering personalized product recommendations as a powerful tool to drive revenue and enhance your customers’ shopping experience.

4. According to McKinsey, AI-powered forecasting can reduce errors by 30% to 50% in supply chain networks. 

(Mckinsey) 

The improved accuracy leads to a 65% reduction in lost sales due to inventory out-of-stock situations, and warehousing costs decrease around 10 to 40%. This means businesses can predict things like demand and inventory way better. 

By making fewer mistakes, you can avoid running out of stock, losing sales, and other supply chain problems, which makes everything work better. 

It also means you can save cash on things like managing stock and moving stuff around, and can make customers happier by giving them what they want when they want it. 

AI-powered forecasting can help businesses reduce inventory costs by up to 75%, improve on-time deliveries by up to 85%, and increase revenue by up to 10%. 

5. AI-powered product recommendations are highly influential on consumers’ purchasing decisions. 

(Scispace) 

AI-powered product recommendations are becoming increasingly important in shaping consumer behavior. These recommendations are personalized based on individual preferences, past purchases, and browsing history, leading to increased customer satisfaction and loyalty.

According to a study, 63% of consumers find these recommendations important, highlighting their influence on purchasing decisions.

The impact of AI on consumer behavior is evident in the level of personalization, customer satisfaction, and the influence on purchasing decisions. 

This ultimately shapes the future of consumer expectations and interactions with businesses.

6. A report finds that 83% of consumers worldwide would browse or buy products in messaging conversations. 

(PRNewswire)

The desire for conversational commerce is at an all-time high, and shoppers worldwide want businesses to continue to shift their customer care, sales, and marketing tactics toward messaging channels.

The report surveyed over 5,000 participants worldwide and found that consumers are looking to browse and buy through messaging.

Most people are comfortable using messaging apps to shop or browse for things they want to buy.

7. AI has the potential to enhance customer happiness and satisfaction through functions that customers can engage directly with. 

(BairesDev) 

AI can enhance customer happiness and satisfaction by providing functions for direct customer engagement. 

It can analyze customer behaviors, automate processes, and offer personalized recommendations, leading to tailored and proactive customer experiences. 

By embracing AI with an ethical and human-centric approach, businesses can shape a future that understands and caters to consumer needs. 

8. The size of AI in the e-commerce market is expected to reach $14 billion. 

(Globe Newswire)

It’s projected to grow even further in the coming years. This growth is driven by the rising demand for personalized shopping experiences, inventory management, supply chain optimization, and customer service automation. 

AI technology enables businesses to analyze large datasets, segment customers, and provide targeted and personalized marketing, leading to more interactive and engaging shopping experiences. 

Additionally, AI-powered inventory management systems help improve stock control and customer satisfaction, while AI-enabled logistics systems enhance conversion rates and reduce delivery times. 

9. The worldwide warehouse robotic market was valued at $6.1 billion in 2022. The market is expected to grow to almost $16 billion by 2030

(Statista) 

10. Due to technology integration, 43% of companies plan to reduce their personnel. 

(Weforum)

Technology integration has revolutionized how HR manages talent, engages employees, and drives organizational success. 

It has simplified administrative processes, enabled HR teams to make decisions based on data, and significantly improved compliance management. 

Collaboration technologies can help reduce employee burnout and enhance work-life balance by enabling remote work and providing access to collaboration tools. 

11. The Indian AI market in retail and e-commerce is expected to reach INR 16,929.87 million by 2028. 

(PR Newswire)

12. Some 43% of Baby Boomers did not wish for AI personalization of their customer journey. 

(Statista) 

13. 34% of businesses plan to expand their workforce due to technology integration. 

(Weforum)

14. 10% of companies are expected to invest in AI-driven digital content creation over the next year. 

(Forrester)

AI revolutionizes the content creation process by automating content generation, idea generation, optimization, etc. 

It allows businesses to improve their content’s quality, reach, and effectiveness, giving them a competitive edge in the ever-evolving digital landscape. 

15. 64% of businesses expect that AI will increase productivity. 

(Forbes)

Generative AI can improve users’ performance by 66% on average. 

Generative AI and other technologies are projected to help accelerate productivity growth, potentially adding trillions of dollars. 

Furthermore, a study suggests that even in the early days of generative AI, productivity gains are already being seen, with a 14% boost in issues resolved per hour.

16. A McKinsey study found that nearly 65% of companies plan to increase their investment in AI technologies over the coming three years. 

(McKinsey)

17. 41% of businesses plan to expand their use of contractors for task-specialized work. 

(Weforum)

18. 78% of eCommerce brands have already implemented AI in their stores or plan to do so. 

(Forbes)

AI-powered solutions are used in various aspects of eCommerce, including inventory management, supply chain operations, customer service, and marketing. 

AI can help businesses personalize their approach to customers, optimize inventory levels, reduce costs, and enhance overall efficiency. 

The rise of AI in eCommerce is backed by impressive statistics, with the AI-enabled eCommerce market size projected to reach $16.8 billion by 2030, growing at a rate of 15.7% CAGR in the next eight years. 

19. 76% of marketers have begun using automated tools powered by artificial intelligence for crafting engaging content across various platforms. 

(Insider Intelligence)

AI content creation tools can generate variations of short-form copy, suggest ad copy, and more. 

It’s important to note that AI tools for content creation don’t work in a vacuum and need human training to achieve the best results. 

These tools use natural language processing and machine learning to produce text-based or visual content. 

Examples of AI content creation tools include Copy.ai, JasperAI, and OwlyWriter AI.

20. Personalization makes 28% of buyers more likely to buy a product they didn’t mean to buy. 

(Slideshare)

21. 83% of executives believe AI is a strategic priority for their businesses today. 

(Cisco)

22. 75% of executives say AI will allow them to enter new businesses and ventures. 

(Cisco)

Artificial Intelligence (AI) is transforming the way businesses operate daily. 

AI-powered tools and software can perform tasks that must be done daily, freeing employees to focus on more complex and creative work that needs a human’s attention. 

AI has various uses in various industries, including healthcare, e-commerce, financial services, marketing, agriculture technology, customer support, education, and cybersecurity. 

As AI technologies proliferate, they are imperative to maintaining a competitive edge. 

23. 84% of executives say AI will enable them to obtain or sustain a competitive advantage. 

(Cisco)

24. AI technologies are projected to increase business productivity by up to 40% in 2035. 

(Cisco)

25. Artificial intelligence is now utilized by 80% of high-performing field service businesses. 

(ZDNet)

26. 95% of recruiters believe AI can greatly enhance talent acquisition and retention. 

(Cisco)

AI works wonders for talent acquisition and retention. It makes the hiring process smoother, keeps employees more engaged and satisfied, and helps companies understand and meet their employees’ needs. 

However, addressing potential ethical issues, bias, and legal risks associated with AI in talent management is essential. 

27. AI can potentially lower client acquisition costs by up to 50%. 

(MarketingInAsia)

28. A LinkedIn survey reports that over the past five years, career shifts into data and artificial intelligence are 50% from different fields. 

(Weforum)

Many people are transitioning into data and AI roles from other areas like marketing, finance, or sales. 

The survey reflects a global trend of professionals embracing AI, with 89% of respondents excited to use AI and 57% wanting to learn more about it. 

The rise of AI is also leading to a significant shift in the job market, with a predicted 65% change in job skills by 2030 due to AI. 

As AI continues to reshape workplaces, the skills required for jobs are evolving, and professionals are responding to this shift by acquiring AI-related skills and knowledge.  

29. In 2020, 8 out of 10 businesses adopted AI as a customer service solution. 

(Cisco) 

30. 35% of companies already use AI in their businesses, and 42% explored AI in 2022. 

(Tech Jury)

31. AI-enabled eCommerce solutions are estimated to be a US$ 16.8 billion market by 2030. 

(Forbes)

32. In 2021, about 70% of e-commerce executives in Europe and North America believe AI will help them with personalization. 

(Statista)

Also, 54% of the surveyed executives say they want AI to help in site search. Only 4% did not believe that AI would help their business. 

33. 50% of surveyed online shoppers say they want to increase their online shipping experience regarding price comparison. 

(Statista)

34. Up to 58% of Millennial online shoppers and over 40% of Gen X and Baby Boomers combined with e-commerce retailers will personalize product recommendations. 

(Statista)

35. In China, e-commerce retailers like Taobao and Tmall merchants can use AI to generate product images in seconds. 

(Alizila)

AI Contribution to E-commerce Sales Statistics

36. AI has the potential to generate $2.2 trillion in additional value by 2035. 

(Intersog)

By leveraging AI, retailers can streamline inventory, automate warehouse management, and provide highly immersive and engaging shopping experiences. 

AI can also help sales managers better predict quarterly sales figures, leading to less waste and more cost-effective up-selling and cross-selling to existing customers. 

AI-generated language that applies emotion-aware drivers can unlock greater insights into how customers interact with brands. 

Recent innovations in generative AI offer a solution to the age-old e-commerce problem of high cart abandonment rates. 

37. 79% of respondents stated that integrating AI into marketing and sales has increased business revenue. 

(Kimp)

Enterprises were able to generate at least 20% additional revenue.

AI has been used to automate tasks, personalize outreach, identify the best leads, and devise personalized messages tailored to various marketing and sales materials. 

This has led to improved efficiency, increased productivity, and better decision-making, ultimately contributing to revenue growth. 

38. AI is projected to boost sales by 59% in product recommendations in the e-commerce sector. The global AI-powered e-commerce market is anticipated to reach $22.4 billion by 2023. 

(Emizentech) 

39. The use of AI in sales and marketing is becoming increasingly important, with 84% of marketers reporting the use of AI today. 

(Hushly)

40. The AI-enabled eCommerce market size is projected to reach $16.8 billion by 2030, growing at a rate of 15.7% CAGR in the next eight years. 

(Forbes) 

41. AI-driven personalized product recommendations led to a 26% increase in conversion rates. 

(The Good)

42. Research by Evergage suggests that AI-driven product recommendations can increase average order value (AOV) by 26%. 

(LinkedIn)

This means that when online stores use AI to suggest products to customers, the customers tend to spend more money on each order. 

For example, if you were buying a pair of shoes, the AI might suggest a matching bag, and you might buy both, increasing the overall amount you spend. 

This is great for businesses because they can make more money from each customer. 

The research also shows that personalized product recommendations can lead to a 176% increase in conversion rates and account for 35% of Amazon’s revenue, highlighting their impact on driving higher AOV. 

43. A study by McKinsey reports that personalized recommendations account for 35% of Amazon’s revenue. 

(LinkedIn)

44. Personalized product recommendations can lead to a 176% increase in conversion rates compared to non-personalized recommendations. 

(LinkedIn)

45. Worldwide voice-assisted e-commerce sales will hit $4.6 billion this year and then quadruple to $19.4 billion by 2023. 

(Insider Intelligence)

46. AI solutions can help companies increase profits by more than 15% while keeping their revenues the same. 

(Revechat)

47. According to a report by McKinsey, successful personalization resulted in 20% higher customer satisfaction, sales conversion rates, and employee engagement. 

(McKinsey)

48. Only 41% of UK shoppers think AI positively impacts retail.

(E-commerce News)

AI Contribution to Customer Service Statistics

49. AI-powered chatbots can answer thousands of customer queries, reducing resolution time to 5.4 minutes from 38 hours. 

(HappyFox)

AI-powered chatbots transform customer service by offering instant support and reducing resolution time from 38 hours to just 5.4 minutes. 

They use conversational chats and preset responses to handle queries, freeing up human agents for complex issues and improving efficiency and customer satisfaction.

50. 72% of business leaders say expanding their use of AI and bots across the customer experience is a priority over the next 12 months. 

(Zendesk)

51. Since implementing Zendesk, its resolution time has increased by 17% and reply time by 14%, says Photobucket. 

(Zendesk)

Photobucket, a photo-sharing platform with over 100 million users, used Zendesk AI to create a bot that provides 24/7 member support with messaging. 

While this has reduced their annual tickets by 30%, it has also increased resolution and reply times. 

The company is committed to delivering the best overall experience to its members, and the Zendesk messaging solution has made it easier for members to contact them.

52. 61% of customers prefer faster AI responses than waiting to speak to a customer support agent. 

(Intercom)

53. 50% of customer queries are automatically resolved by some of the most powerful bots on the market. 

(Intercom)

54. 58% of support leaders have seen improvements to their CSAT scores due to using AI and automation. 

(Intercom)

More than half of the leaders who implemented AI and automation in their customer support processes noticed a positive impact on their CSAT scores. 

CSAT scores measure customers’ satisfaction with a company’s products, services, or support. 

The use of AI and automation can lead to more efficient and effective customer interactions, quicker issue resolutions, and the ability to focus on activities that create additional value for customers. 

55. 62% of customer service specialists believe that AI/automation tools help them understand their customers. 

(Hubspot)

56. Successful personalization initiatives can result in 20% higher customer satisfaction, sales conversion rates, and employee engagement. 

(Mckinsey)

57. AI-powered customer service automation is projected to increase at a compound annual growth rate of 58.5% and to be valued at $1 billion. 

(Revechat)

AI-powered customer service automation is a rapidly growing technology that is expected to be worth $1 billion, with a projected compound annual growth rate of 58.5%.

This is because it offers faster response times, improved accuracy, efficient handling of common inquiries, and a better overall customer experience.

58. Servion Global Solutions predicts AI will power 95% of all customer interactions by 2025, including live telephone and online conversations. 

(Revechat)

59. Companies are reducing their cost of providing customer service by up to 80% by providing chatbots. 

(Revechat)

60. 71% of customers expect personalized company interactions, and 76% get upset when this doesn’t happen. 

(McKinsey)

61. 65% of customer service tasks are automated. 

(Gorgias)

62. 35% of online shoppers find AI-shopping assistants interesting as they help consumers discover new products and services. 

(Statista)

63. Although only 31% of U.K. online shoppers can differentiate between humans and AI chatbots, 91% would rather interact with humans than AI. 

(E-commerce News)

64. Over 5 million people have used Taobao’s generative AI chatbot. 

(Alizila)

FAQs About AI in E-Commerce

1. What is the Size of the E-commerce AI Market?

According to various sources, the global artificial intelligence in e-commerce market size was valued at USD 5.81 billion in 2022 and is expected to reach USD 22.60 billion by 2032.

2. How is AI Changing the E-commerce Scenario?

AI can help businesses provide better customer service, make more accurate business decisions, and streamline operations. 

AI can also optimize inventory management, identify optimal pricing, and make site search smarter.

AI can handle up to 80% of all customer interactions, reducing operational costs. The global AI-powered e-commerce solutions market will reach $16.8 billion in 2030. 

3. What are the Risks of AI in E-commerce?

The risks of AI in e-commerce include data privacy and security concerns, potential bias in AI algorithms, job displacement, and lack of customer trust. AI systems collect and process vast amounts of customer data, raising concerns about privacy and data protection

4. How Do I Implement AI in E-commerce?

• Create customer-centric search, Retarget potential customers, Identify exceptional target prospects, Create a more efficient sales process, 
• Create a new level of personalization across multiple devices, 
• Provide a personal touch with chatbots, 
• Empower store workers, 
• Implement virtual assistants, 
• Integrate with everyday household items
• Improve recommendations for customers
• Introduce virtual personal shoppers
• Work with intelligent agents
• Build an ‘assortment intelligence’ tool
• Bridge the gap between personalization and privacy

5. How Does AI Work in Online Shopping?

AI in online shopping uses machine learning to analyze customer behavior, provide personalized recommendations, and automate tasks such as customer support and sales processes. 

It enhances the shopping experience, improves customer interactions, and offers features like virtual assistants, chatbots, and voice search. 

AI helps businesses understand customer behavior patterns and identify high-value customers, ultimately optimizing the online shopping experience and increasing sales.

6. How is Shopify using AI? 

Shopify utilizes AI through Shopify Magic, a suite of free AI-enabled features integrated across its products. 

This includes automatic text generation, which uses AI to generate content such as product descriptions, email subject lines, and blog posts. 

AI technology analyzes provided information to offer contextually relevant support for tasks related to store building, marketing, customer support, and back office management. 

Additionally, Shopify has introduced AI features like Sidekick, an AI-enabled commerce assistant, to enhance the e-commerce experience. 

Final Thoughts on AI in E-commerce Statistics

These AI in e-commerce statistics prove that AI will be the superhero of E-commerce. The integration of AI in e-commerce will make the shopping process better for customers and help businesses run smoother. 

As we move forward, using AI isn’t just a trend – it’s a big deal that pushes E-commerce into exciting new territory. To succeed, businesses need to be friends with AI, adapting and making the most of what it can do. 

The future of online shopping is tied to how well businesses and AI work together, and those who figure that out are set for success in the years ahead.

If you are an online store owner, consider using AI to make your customers have a seamless online shopping experience. 

Sources & References:

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