Every software company in the world is raving about artificial intelligence right now and for good reason. The technology landscape is shifting fast, and AI is quickly becoming less of a competitive advantage and more of a baseline expectation.

The numbers back it up. Cubeo reported that nearly 80–90% of retail and eCommerce companies are already using or testing AI in at least one function. Companies that aren’t are missing an opportunity and falling behind businesses that are actively using AI to convert more customers, increase order values, and build lasting loyalty.

So what does that actually look like in practice?

How AI Is Applied To eCommerce Businesses to Improve Monetization and Conversion Rates

Product Recommendations

The days of generic “you might also like” carousels are over. Today’s AI-powered recommendation engines deliver personalized product suggestions across every touchpoint on your homepage, product listing pages, product detail pages, cart, and post-purchase emails. These models learn from individual shopper behavior in real time, surfacing the right product to the right person at the right moment. The result is a measurable lift in average order value and a shopping experience that feels effortless to the customer.

Onsite Search

Most eCommerce businesses underestimate how much revenue leaks through a poor search experience. Shoppers who use site search convert at significantly higher rates than those who browse yet outdated search tools lose them with irrelevant results, zero-result pages, and no tolerance for typos or natural language.

AI-powered onsite search changes that. Intent-aware engines understand what a shopper means… since what they typed might not be exactly what they’re looking for. Typo tolerance keeps them from hitting a dead end. Personalized ranking ensures the results reflect their individual preferences and purchase history so the search bar becomes one of your highest-performing conversion tools.

Real-Time Personalization

No two visitors to your site are the same, and AI makes it possible to treat them that way at scale. Real-time personalization engines dynamically adjust content, offers, promotions, and customer flows based on who is on your site right now, for instance, their location, device, browsing behavior, purchase history, and more.

For eCommerce businesses, this means a first-time visitor and a loyal repeat customer see completely different experiences, both optimized to drive the next action. Personalization at this level was once reserved for enterprise brands with massive tech budgets though AI has made it accessible for mid-sized businesses too.

AI Chat Assistants

Modern AI chat assistants do far more than answer FAQs. They help guide shoppers through complex purchase decisions, recommend complementary products, surface promotions, and handle objections, all within a single conversation, without pulling a human agent into the loop.

For eCommerce businesses with large or technical product catalogs, this is a game-changer. A well-trained AI assistant can replicate the experience of talking to your best sales rep, available 24/7, across every device. The impact shows up in conversion rates, session duration, and average order value.

Pricing and Promotions

Static pricing leaves money on the table. AI-driven dynamic pricing models analyze demand signals, competitor pricing, inventory levels, and individual buyer intent to automatically adjust prices and surface the right offer at the right time.

Rather than blanket discounts that train customers to wait for sales, smart promotional tools deliver targeted offers to the shoppers most likely to convert — protecting your margins while still winning the sale. For eCommerce businesses operating in competitive markets, this kind of precision is the difference between winning a customer and losing them to a competitor offering a slightly better deal at the right moment.

AI’s Not Just Automating Tasks But Improving Your Business

AI is fundamentally improving how eCommerce businesses attract, convert, and retain customers. Each of the tools above addresses a specific revenue lever, and together they compound into a meaningfully stronger business.

The eCommerce companies growing fastest in 2026 aren’t doing anything radically different. They’re simply using better tools and using them now.

Want to Know Which AI Tools Are Delivering High ROI?

Download our 2026 AI for eCommerce Trend Report for a breakdown of the tools, strategies, and benefits helping mid-sized eCommerce businesses grow revenue this year.

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For many B2B companies, the order-taking process is a mix of emails, phone calls, forms, and follow-ups. It works — until it doesn’t.

Slow turnaround times, input errors, and unclear requests all introduce friction. AI offers practical ways to clean this up, reduce costs, and improve service.

McKinsey reports that companies using AI in customer operations have seen an average 35% drop in operating costs and a 32% increase in revenue.

These gains come from better efficiency, fewer mistakes, and faster response times.
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The AI landscape in 2025 is flooded with potential and false starts.

Across industries, companies have launched initiatives with high hopes. But many stall before they ever deliver real value.

The pattern is consistent: early excitement, a flashy demo, and then… nothing. The model can’t scale. The results aren’t consistent. The data isn’t usable. The project dies quietly.

And this pattern is accelerating.

This year, S&P Global reports that 42% of companies have shut down the majority of their AI initiatives—nearly triple the rate from the year before. MIT adds another layer: 95% of generative AI pilots fail to exit the testing phase.

These aren’t growing pains. They’re signs of a deeper design flaw.

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Manual order entry drains time, inflates costs, and invites mistakes. According to McKinsey, businesses that rely on manual processing spend 30% more on operational costs than those that automate. That’s money lost to inefficiency — time spent on repetitive tasks, corrections, and rework.

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After 15 years of working in eCommerce, one thing is clear: making it easier for customers to purchase and support themselves drives revenue.

Too often, companies rely on systems integrations as drivers of change, while neglecting to streamline the actual customer experience throughout their site.

Think of your online store, customer portal, and associated systems as a sales team working around the clock. If the systems are clunky and difficult to use, they frustrate customers and result in lost business.
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