Whatnot has acquired Shaped, a machine learning company specializing in real-time recommendation systems, to tackle one of live commerce's toughest challenges: matching shoppers with products as inventory and demand shift by the second. The deal, announced Wednesday, brings Shaped's technology and team into Whatnot's platform to sharpen personalization and discovery across its rapidly expanding marketplace. Main Developments Shaped's technology combines customer data with large language models and machine learning to deliver personalized search and discovery. Its previous clients included Outdoorsy and QVC. As part of the acquisition, Shaped founder and CEO Tullie Murrell will lead Whatnot's newly formed Applied AI Research group, along with nearly a dozen engineers and AI researchers joining the company. Murrell previously worked at Meta before launching Shaped. Whatnot's VP of Data and AI, Emmanuel Fuentes, told TechCrunch that integrating Shaped's systems will make recommendations faster and more responsive. "That speed matters because live commerce is a uniquely hard recommendation problem," Fuentes said, noting that inventory changes by the second, shows start and end continuously, and buyer intent shifts throughout a show. Whatnot has spent six years reducing recommendation latency from roughly a day to just minutes, and Shaped's technology is expected to push that closer to real time. Read also: Microsoft's AI-Driven Patch Blitz Fixes Record 570 Flaws, Including 2 Zero-Days Whatnot's systems process more than 500,000 hours of live video and millions of real-time interactions every week, using that data to continuously improve recommendations. Unlike traditional e-commerce, where product catalogs remain relatively stable, Whatnot's marketplace constantly evolves—live auctions can end within minutes or last for hours. Background Launched in 2019, Whatnot has grown rapidly, with sellers surpassing 1 billion orders. Last year, the company raised $225 million in Series F funding, achieving a valuation of more than $11 billion after adding 20 million buyers. Whatnot has also broadened its marketplace significantly, launching more than 35 new categories last year—including art, golf, and vinyl—and more than 45 additional categories during the first half of 2026, with new subcategories continuing to roll out monthly. Shaped was founded to help businesses build AI-powered recommendation systems. The acquisition aligns with a broader industry trend: resale giants like eBay and Poshmark are racing to integrate AI across their platforms. Whatnot's move deepens its investment in AI to solve the dynamic discovery problem unique to live shopping. Why It Matters Live commerce faces a fundamental discovery challenge that static e-commerce does not. Inventory changes by the second, buyer intent fluctuates during shows, and auctions have unpredictable durations. Without effective real-time recommendations, shoppers can miss relevant products, and sellers lose sales opportunities. This acquisition positions Whatnot to lead in solving that problem, potentially setting a standard for the live shopping industry. For Whatnot's 20 million buyers, the integration could mean more relevant product suggestions during live streams, reducing the time spent searching. For sellers, faster, more personalized recommendations may increase conversion rates and order values. The move also signals that AI-driven discovery is becoming a competitive differentiator in the live commerce space, where user experience hinges on timing and relevance. What's Next Murrell and his team will integrate Shaped's technology into Whatnot's existing systems, with a focus on accelerating recommendations toward real-time responsiveness. Whatnot plans to continue expanding its marketplace categories, which have already grown to over 80 new categories since last year. The company's Applied AI Research group, now led by Murrell, will likely explore further personalization features and search improvements. No timeline for specific product changes has been announced.