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Online retailers have been embracing new technologies for decades, from CRMs and inventory management systems to digital payment processing and social media marketing.
So it’s no wonder that many are now turning to artificial intelligence to deliver personalized product recommendations, streamline internal operations, and power bots to provide 24/7 customer support.
But AI can do so much more than that.
Ecommerce retailers across the globe are interested in and intrigued by AI, but many aren’t sure how it can benefit their business. To show you how you might be able to use AI technology to your advantage, we’ve compiled some examples of how people are using AI in ecommerce to inspire you to look at AI in a new way.
We talked to CEOs, founders, marketing and sales directors, and other ecommerce pros in different niches to learn how they’re using AI-powered tools to grow their businesses and improve the user experience. Here’s what they had to say.
Boost Product Purchase Confidence
Ecommerce businesses that sell fixtures, furniture, and items requiring installation in a fixed location use AI to improve customer confidence that the product will fit their space.
Using AI-powered tools that measure interior and exterior areas, ecommerce businesses help customers visualize how the product will fit into its intended location. This boosts customer confidence that the product is the right fit and minimizes returns on large items.
Dannico Woodworks
Dannico Woodworks builds and sells Montessori-inspired furniture, toys, and storage solutions for children. Because many parents need to arrange kids’ furniture in small spaces, the company uses AI to give customers confidence that their chosen items will fit.
Founder Moosa Esfahanian says:
“One of the less obvious ways we’re using AI at Dannico Woodworks is in micro-space optimization for children’s rooms. Since many parents live in smaller apartments, we use AI to analyze room dimensions, storage habits, and even traffic flow to recommend Montessori-style furniture layouts that encourage independence without crowding the space.”
Cowboy Pools
Selling stock tank pools that can transform a backyard into a private oasis, Cowboy Pools has built an AI-powered Yard Readiness model to predict backyard compatibility before a customer checks out. It does so by analyzing user-uploaded photos to assess yard surface, coverage, and issues that could arise during installation.
Of this AI model, CEO and Co-founder Aaron Weiss says:
“This shift has had a significant impact on our bottom line. It has reduced on-site surprises and rescheduling by approximately 30% since implementation. It has also increased conversion rates for hesitant buyers, as people feel more confident when uncertainty is removed from a purchase that combines home, aesthetics, and construction.”
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Improving Sales and Marketing with Predictive Analytics
Predictive analytics improve the accuracy of demand forecasting to help you better connect with customers and increase sales. Many ecommerce companies are using AI solutions to help create custom marketing messages and tailor emails, newsletters, and SMS messages based on individual preferences.
Stemcode Peptides
Stemcode Peptides, a company that sells high-purity research peptides for use in laboratory, academic, and scientific research settings, uses predictive AI to analyze statistics and determine potential risk and outcomes.
Founder Jeff Sleichter says:
“We can take large datasets and, with AI, get more accurate results faster. For businesses on the research or science frontiers, having access to technology that helps us do causative analysis more thoroughly and efficiently is a game-changer.”
Unyield e-Bikes
Unyield sells road-legal e-bikes throughout the UK. Offering folding, hybrid, and urban commuter e-bikes and other modern modes of transportation, the company uses AI to better understand what their customers are looking for and shopping for.
Founder Seun Osho says:
“[AI] helps me read deep into patterns in behavior and product data of the riders to allow me to make more intelligent decisions about inventory, customer support, and product improvements. It allows me to view changes in demand prior to them appearing on the store page, which keeps the continuity of operations and customers ready.”
Enhance Customer Service
The use of AI chatbots is one of the most commonly used AI-powered tools in the ecommerce industry, but chatbots are only one of many ways that ecom businesses use AI to improve the customer experience.
EZContacts
EZContacts, an optical retailer that sells contact lenses, sunglasses, readers, and designer prescription eyewear, uses AI-driven inventory forecasting coupled with customer service predictions to provide relevant, useful online support.
Head of Growth, Rafael Sarim Oezdemir says:
“I’ve incorporated machine learning models that not only forecast which of our more than 50,000 products will sell but also predict the related customer service inquiries and the resulting support needs. The dual-prediction system has reduced our stockouts by 41% while simultaneously enabling us to staff our support team more efficiently during predicted high-inquiry periods.”
Refine Image Quality with Product Image Recognition
While many ecommerce businesses use AI to generate images for websites and social media channels, its capabilities go far beyond image creation. AI can also assess the quality of an image, catch image errors, and recognize other images that are similar to images searched, providing additional product suggestions to customers.
Mercha
Mercha, an Australia-based retailer in the promotional products space, uses AI to help customers design tees, bottles, tote bags, and other branded products that display their company logo in the most effective way.
CEO Ben Read says:
“We use AI in our back-end to automatically flag artwork files that will have print quality issues before they hit production. When customers upload logos, our system analyzes resolution, color profiles, and file specs against the specific product and decoration method they’ve chosen. It tells them ‘this will look muddy on a dark shirt’ or ‘this needs to be vectorized for embroidery’ before they checkout. We went from about 40% of orders needing artwork revision calls to under 12%, which means faster turnaround and way less frustration.”
Improve Product Discovery and Education
Utilizing the customer data collected by AI allows you greater insight into how customers interact with your products. This data can then be used to provide the additional education that customers need to encourage them to make a purchase or to educate them on how to use the product before buying.
BirdieBall
BirdieBall creates and sells practice golf balls and putting greens for indoor and outdoor use, some of which combine putting practice with other popular games like shuffleboard and beer pong. For customers to get the most out of the product, it’s essential that they understand how the games are played.
Sales Director Katie Breaker says:
“Heading into 2026, one of our less talked about uses of AI is with dynamic product education. We have started to track patterns in customer questions, returns, and reviews, and then automatically adjust our product page, product tutorials and even packaging inserts according to the feedback. This has allowed us to substantially reduce support ticket volume and dramatically lower our return rate because our customers have a much better understanding of what they are purchasing and how to use it.”
Streamline Inventory Management
AI can help ensure that you have enough inventory in stock for customers who want to buy your product, but not so much inventory that you’ll have to sell it for a discount and replace it with new goods. Predictive capabilities help you maintain the right stock levels at the right time.
Desktronic
Desktronic produces stylish, affordable, and ergonomic desks and office chairs that make it possible to work comfortably for long periods of time. This UK-based business uses AI tools to assess regional work trends and stock inventory accordingly.
Co-founder and CEO Šarūnas Bružas says:
“We could predict which products have to be in our warehouses per region based on local trends and work-from-home patterns using AI. We can now plan which items to stock nearby based on past sales, which has reduced our shipping delays by 27% and saved us over $30,000 in overstock expenses.”
Verena Street
Verena Street makes sustainably sourced small batch coffee. While the brand’s success depends upon the quality of the soil, water, and habitat its coffee beans are grown in, it’s the use of AI that’s helping them perfect their inventory levels and keep up with customer demand.
Director Eric Gantz says:
“By adopting an AI-driven demand forecasting tool, we accurately predicted sales trends, taking into account factors like seasonality and external events. Our operations became smoother, and we could finally keep up with customer demand across the board while ensuring our coffee stayed fresh and minimizing the risk of waste.”
Generate Better Content
High-quality, human content creation is still key, and it will likely always be better than AI-generated content. But despite the fact that AI isn’t the best way to create content, it can be used to inspire new content ideas or improve existing content by suggesting trending words, themes, and new sentiments.
Dustro
Dustro is a deep cleaning mattress vacuum brand that promotes better sleep by eliminating the allergens, dust mites, skin cells, and odors that lie beneath the surface of every mattress. This UK-based brand uses AI to help them decide when and how to revamp and update content on its product pages.
Director Suhail Patel says:
“A less well-known use for AI is to help people learn who don’t want to. Instead of following people, keep an eye out for small clues like long pauses on a product page or quickly switching between things. It tells us when to change the page so that it has more accurate delivery information or notes about the size that are easier to read. It may look simple, but it cuts returns and boosts trust.”
Irresistable Me
Irresistible Me, a popular purveyor of wigs and hair extensions, uses AI to stay ahead of the competition and the industry as a whole. This well-known beauty brand uses AI to refresh PDP copy and brief influencers about newly emerging trends in their niche.
PR Specialist Kate Ross says:
“Instead of only using AI to recommend products, we use it to analyze thousands of micro-signals across TikTok, YouTube, customer reviews, email replies, and on-site behaviors. The goal is to spot the next ‘conversation shift’ in our niche (hair extensions, wigs, and toppers) early enough to adjust our messaging and product positioning before the trend peaks.”
Engrave Ink
Engrave Ink is a unique business that makes tattoo ink from the ashes of cremated loved ones, taking the concept of a memorial tattoo to a whole new level. Because the product is deeply personal, this brand uses AI for micro-context personalization.
Marketing Director Hailey Rodaer says:
“In the case of memorial products, language is important. The warmth or directness of on-page copy are modified by AI based on the visitor’s interaction. It is not very conspicuous, but it has created the feeling of humanity rather than the transactional of the experience.”
The Most Common Use Cases for AI in Ecommerce
Ecommerce brands use AI technology in a variety of different ways, but the most common use cases are:
- Product Recommendations: AI can suggest product recommendations based on customer behaviors, individual interests, purchase history, prior product searches, and similar products that customers have purchased in the past. Such personalized product recommendations can lead to increased sales or an increased average order value via upselling and/or cross-selling strategies.
- Dynamic Pricing: AI tools are often used to enhance competitor price matching, adjust surge pricing, take smart/gradual markdowns, and trigger customer discount offers at checkout.
- Customer Conversations: AI chatbots can answer questions immediately, respond to customer queries 24/7, track customer moods to see if and when they become frustrated, and direct them to live customer support specialists when necessary.
- Fraud Detection and Prevention: AI tools can monitor transactions to detect and prevent fraudulent purchases, including large purchase price amounts that are unaligned with customers’ prior purchasing habits.
- Improved Logistics: AI can improve supply chain management, analyze and optimize shipping routes, and speed up order fulfillment, including picking, packaging, and shipping from your warehouse.
If your ecommerce business has not made use of AI technology thus far, consider starting where most ecommerce businesses begin: with AI tools that provide personalized product recommendations and power chatbots to answer frequently asked customer questions.
The Bottom Line: AI Is Part of Ecom’s Future
Ready to leverage AI in ways that will benefit your ecommerce company, boost sales, and streamline operations? From managing inventory to increasing customer loyalty, here are some of the key benefits that AI provides the ecommerce industry:
- Drive traffic with marketing campaigns targeted at specific customer segments
- Improve customer satisfaction and drive sales by offering personalized product recommendations
- Improve the online shopping experience by putting relevant products in front of your customers
- Manage inventory levels in real-time
- Improve operational efficiency, including packing, shipping, and order fulfillment
- Improve decision-making with predictive analytics that provide real-time insight into market trends, customer interactions, and dynamic pricing strategies
AI provides many benefits for the ecommerce industry, but it still lacks the ability to create high-quality content that can rival human-written content.
To learn more about how content can best position your brand in an AI-powered world, contact Intergrowth today.
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