New AI Learns in Minutes, Promises to Reshape E-commerce for All

NEW YORK, NY – January 13, 2026 – A new form of artificial intelligence that learns from shoppers in real-time is promising to upend the fiercely competitive e-commerce landscape. Yesterday, at the National Retail Federation’s annual conference, AI research lab Product Genius AI announced the invention of Large Interaction Models (LIMs), a technology that demonstrated a stunning 36% average revenue lift in extensive A/B testing across millions of online shoppers.

The announcement, hosted at Google’s booth, detailed results from controlled tests involving 25 brands, including well-known names like Betsey Johnson. The core claim is that LIMs can continuously learn and adapt to a shopper’s behavior in minutes, a dramatic acceleration from the months often required to retrain conventional AI models. This innovation aims to give online retailers of any size the kind of sophisticated, adaptive personalization once exclusive to tech giants.

“E-commerce teams are constantly fire-fighting just to keep revenue up,” said Ben Vigoda, Founder and CEO of Product Genius AI, in a statement. “Our AI delivers durable revenue lift, freeing teams to focus on building their brand. Advanced AI shouldn’t be limited to big tech.”

The Next Leap: From Language to Interaction

The technology at the heart of the announcement represents a potential paradigm shift from the Large Language Models (LLMs) that have dominated the AI conversation. While LLMs are trained on vast, static datasets of text and code, LIMs are designed for dynamic, continuous optimization. Growing out of $35 million in research funded by the Defense Advanced Research Projects Agency (DARPA), this new model focuses on the billions of micro-interactions—clicks, scrolls, and hesitations—that comprise an online shopping session.

This rapid learning cycle means the AI can adapt on the fly to sudden shifts in consumer trends, new product drops, or even the immediate interests of a single shopper as they browse. According to the company, this agility allows the system to work effectively without the massive historical user data reserves that competitors often require, making it viable for businesses of all scales.

The technical credibility of the claim is bolstered by Vigoda’s extensive background. A PhD from MIT, Vigoda was an original inventor of Tensor Processing Units (TPUs), the specialized microchips that power much of today's deep learning, and developed some of the earliest attention transformer models that underpin modern LLMs. His deep involvement in foundational AI research lends significant weight to the assertion that LIMs are a genuine evolution in the field.

The 'TikTok-ification' of Online Shopping

For consumers, the technology manifests as a radically different shopping experience. Instead of static product grids, websites powered by Product Genius AI present shoppers with a dynamic, “TikTok-like” feed. The AI curates a continuous stream of product and brand information it deems useful, creating an engaging and discovery-oriented journey rather than a purely transactional one.

As a user scrolls, the AI not only refines its recommendations but can also communicate its understanding of the shopper's interests. This interactive loop is a two-way street; shoppers can directly tell the AI their preferences, guiding the personalization process actively instead of passively. This shift from passive browsing to active engagement mirrors the user experience trends popularized by social media platforms, which have trained consumers to expect highly relevant, algorithmically curated content.

The impact on user behavior has been significant for early adopters. Jeff King, Founder of Club Furniture, has been using the system for over six months. “Product Genius is truly revolutionary! We've been using this app for over six months and the results have been amazing,” he stated. “Our time on site and add-to-carts are way up as is our revenue.”

Leveling the Playing Field for Online Retail

A key part of Product Genius AI’s strategy is democratizing access to this powerful technology. Through partnerships with Google Cloud and the Shopify App Store, the company is aiming to put its tools directly into the hands of the small and medium-sized businesses that form the backbone of e-commerce. This approach directly challenges the narrative that cutting-edge AI is an arms race only behemoths like Amazon can win.

King’s experience validates this mission. “This app allows us to offer an ‘Amazon-level’ AI driven shopping experience on a small business budget,” he noted, adding that onboarding was simple and support has been strong. This accessibility is crucial in a market where 91% of US shoppers now report a preference for personalized recommendations and are quick to abandon sites that feel generic.

On the Shopify App Store, the service is offered in tiers, with plans starting at $999 per month and scaling up to enterprise-level solutions. While a significant investment for the smallest merchants, the price point is positioned to be accessible for growing businesses seeking a competitive edge, especially when weighed against the potential for a double-digit revenue increase. The platform also boasts integrations with key e-commerce tools like Klaviyo and various analytics platforms, signaling a focus on fitting seamlessly into existing workflows.

Navigating a Crowded Market

Product Genius AI enters a bustling and rapidly expanding market for AI-powered e-commerce personalization, projected to swell to over $64 billion by 2034. It faces a host of established competitors, including Bloomreach, Nosto, and Dynamic Yield, which already offer sophisticated AI tools for product recommendations, automated marketing, and customer segmentation. These platforms are trusted by major global brands and have a proven track record of boosting engagement and sales.

However, the core differentiator for Product Genius AI remains the speed and interactivity of its Large Interaction Models. While many existing solutions rely on predictive analytics based on historical data, the promise of a system that learns and adapts in minutes offers a distinct advantage in the fast-paced world of online retail. This capability to treat every shopper as a unique “segment of one” in real-time, customizing their entire journey, is considered the next frontier of personalization.

The industry is watching closely to see if LIMs can deliver on their promise of creating a more durable revenue lift by staying ahead of trends rather than just reacting to them. If this technology proves scalable and effective across the broader market, it could fundamentally alter consumer expectations and force competitors to rethink their own models, making the interactive, rapidly learning AI feed a new standard for online shopping.