PRESS RELEASE GlobeNewswire
Oct. 12, 2026, 09:00 AM
San Francisco, CA, Oct. 12, 2026 (GLOBE NEWSWIRE) — Online shopping has become very good at showing people thousands of products and surprisingly bad at helping them choose one.
<p>” the biggest mistake we see is treating ai as a collection of features said>Ilker Selim Zorluoglu, President and Co-Founder of Loops. “A retailer does not need five different AI products that each understand one slice of the customer. It needs one system that understands the catalog, the <a
How Loops works
Loops follows the shopper through the whole journey, from the first search to the moment they click buy. It starts with discovery: shoppers describe what they want in plain language, the way they would to a friend or to ChatGPT, and AI search surfaces the right products without keywords, filters or a retailer’s internal catalog logic getting in the way. When questions come up, a built-in shopping assistant answers them on the spot, helps people decide, and carries service conversations across every connected channel, so no shopper is left waiting hours for a reply.
Loops in action: The Mavi shopping assistant making outfit recommendations.
What makes that <a published comparison, sessions involving the platform showed roughly 83% higher observed purchase conversion than the comparison segment, a result the company notes is observational rather than a randomized measure. Fashion retailer Mavi uses Loops for AI search and shopping assistance, letting customers describe what they want by style, occasion or fit and get guided through the catalog. Together they point to ecommerce that behaves like a strong in-store experience: the shopper explains what they want, the system understands the inventory, and help follows them to the decision.
“AI is changing the interface between companies and their customers, but the lasting platforms will be the ones that can make it work reliably inside real businesses,” said Fareed Mosavat, Investment Partner at a16z Speedrun. “Loops is starting in commerce, where the link between a better AI experience and business value is unusually clear. Its pilot conversion and early customer expansion show brands want a platform that can own more of that journey.”
From commerce to vertical AI operating systems
Commerce is the first chapter. Loops believes the lasting opportunity in enterprise AI belongs to systems built deeply inside individual industries, carrying the knowledge, integrations, agents and controls needed to run real workflows, rather than a general-purpose model with a thin wrapper. The playbook is the one that worked in commerce: enter through a specific problem with obvious value, work closely enough with customers to learn how the industry actually operates, then turn what repeats into product.
Financial services and energy are next. Alongside them, Loops is building specialized small-language-model capabilities for tasks where domain knowledge and deployment constraints make a focused model the better tool. The goal is to make companies AI-native, with AI woven into how the business runs rather than bolted on as features. Commerce is the first operating system. The next ones are already being built.
