Product Genius AI has unveiled a new class of artificial intelligence called Large Interaction Models (LIMs), positioning the technology as a breakthrough for e-commerce revenue optimization. Announced at Google’s booth during NRF 2026, the launch was supported by results from controlled A/B testing that showed an average revenue lift of 36% compared with brands’ existing e-commerce experiences.
The testing spanned millions of U.S. online shoppers across 25 brands, including Betsey Johnson, a subsidiary of Steve Madden. According to Product Genius, these results demonstrate how LIMs can outperform traditional website personalization and recommendation approaches by adapting to shopper behavior in real time.
LIMs are the result of more than $35 million in DARPA-funded research and development. Unlike Large Language Models (LLMs), which typically require extensive retraining cycles over weeks or months, LIMs are designed to learn continuously within minutes. When applied to commerce environments, the models optimize experiences dynamically as shoppers scroll, click, and interact with products, allowing the system to adapt instantly to changes in shopper intent, inventory, promotions, and broader market conditions.
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Product Genius says this rapid learning capability enables durable revenue gains without relying on massive historical datasets. Because the AI learns from live interactions, it can perform effectively for retailers of any size, including smaller e-commerce businesses that lack extensive first-party data reserves.
On websites powered by Product Genius AI, shoppers encounter a TikTok-like shopping feed that surfaces relevant product and brand information curated in real time. As users scroll, the AI refines its understanding of their preferences and can even communicate what it has learned so far. Shoppers can also directly guide the experience by telling the AI what they are looking for, creating a two-way interaction that blends discovery with intent.
Early adopters report meaningful commercial impact. Jeff King, Founder of Club Furniture, said the technology has delivered significant improvements across key performance metrics. He noted that Product Genius enabled his company to offer an “Amazon-level” AI-driven shopping experience while operating on a small business budget. According to King, time on site, add-to-cart rates, and overall revenue have all increased since deployment.
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Product Genius CEO and Founder Ben Vigoda framed the launch as a response to mounting pressure on e-commerce teams. “E-commerce teams are constantly firefighting just to keep revenue up,” he said. “Our AI delivers durable revenue lift, freeing teams to focus on building their brand.”
Vigoda also emphasized the company’s goal of democratizing advanced commerce AI. Through partnerships with Google Cloud and distribution via the Shopify App Store, Product Genius aims to make LIM-powered experiences accessible to entrepreneurial brands as well as large enterprises.
As retailers search for new ways to compete in an increasingly crowded and fast-moving digital marketplace, Product Genius is positioning Large Interaction Models as a next-generation alternative to static personalization—one that learns in real time, scales across billions of interactions, and translates directly into measurable revenue growth.
