SAN JOSÉ, Calif., April 20, 2026 (GLOBE NEWSWIRE) -- Metafoodx, an AI-powered kitchen intelligence platform for commercial foodservice operations, will showcase its award-winning 3D AI food tracking and analytics technology at the 2026 National Restaurant Association Show in Chicago. The show draws more than 52,000 foodservice professionals and 2,000 exhibiting organizations across 900+ product categories, offering a premier platform for Metafoodx to provide customers and industry leaders with an exclusive look at its breakthrough technology transforming kitchen efficiency and sustainability. Metafoodx is redefining kitchen operations by replacing manual processes and guesswork with real-time, data-driven intelligence. Its proprietary 3D AI scanning system captures critical data points (including precise weight, image recognition, and temperature) in under two seconds per scan. This data is automatically linked to menu items, giving operators a detailed, end-to-end view of food production, consumption, food safety conditions, and waste. The platform integrates seamlessly with leading foodservice systems such as Jamix, Illumia, and Parsley via an open API. At the show, Metafoodx will demonstrate its full kitchen intelligence platform, including the 3D AI scanner and analytics dashboard, which transforms operational data into actionable insights. By analyzing consumption trends and historical patterns, the platform enables kitchens to optimize production, improve forecasting, automate temperature logging for food safety, and significantly reduce overproduction and waste. Customers using Metafoodx have reported up to a 90% reduction in food waste and as much as a 500x return on investment in multiple countries and across C&U, Resorts, Corporate Dining, and QSRs. “The 2026 show is an exciting opportunity for us to connect directly with operators and industry partners, and to demonstrate how our platform brings real intelligence into kitchen operations,” said Fengmin Gong, CEO and Co-Founder of Metafoodx. “We’ve made it simple for teams to use their own data to improve ordering, preparation, and service