Climate Hive Features Metafoodx CEO Fengmin Gong on AI and the Future of Food Waste Prevention
- Charlotte Anthony
- 3 days ago
- 2 min read
Metafoodx CEO Fengmin Gong recently joined Kevin Drolet and Mike Higgins on the Climate Hive podcast, What Do You Solve?, to discuss a major blind spot in commercial kitchens: knowing how much food is actually being produced, consumed and left over.
While operators have purchasing and sales data, that information doesn't always tell chefs what is happening during service. Without a clear picture of production and consumption, teams are often left relying on forecasts and experience to decide how much food to prepare.
Using AI to Prevent Food Waste Before It Happens
During the conversation, Gong explained why preventing food waste starts well before food reaches the trash.
Metafoodx uses AI, computer vision and sensors to track food as it moves through the kitchen, giving teams real-time data on what they make and what guests actually consume. That helps chefs catch overproduction earlier, adjust batch sizes and make better production decisions throughout service.
The goal isn't to give kitchen teams more data to enter. It's to take manual work off their plate.
Metafoodx automatically captures information such as food quantity, portion area and temperature, allowing staff to stay focused on food quality and service while the technology handles more of the counting and tracking.
Bringing AI and Computer Vision Into the Kitchen
During the episode, Gong explained how Metafoodx uses AI, computer vision and sensors to automatically track food as it moves through the kitchen. The Metafoodx AI Scanner recognizes prepared foods and captures details like quantity, portion area and temperature in seconds, giving operators a real-time picture of what they are producing, what guests are consuming and what is being left over. The goal is to give kitchen teams better information without giving them another task. Metafoodx handles more of the counting, tracking and remembering in the background, so chefs and staff can stay focused on food quality and service while improving efficiency and preventing waste.
A Better Way to Forecast Food Production
The episode also explored how real-time kitchen data can improve forecasting.
Demand changes throughout the day. A batch size that works during a lunch rush may be too much an hour later. Seeing production and consumption as they happen gives chefs a better way to decide what to make next, how much to make and when to make it. For Gong, this is part of a larger shift in AI: moving beyond digital information and helping operators understand what is happening in physical environments like the commercial kitchen.
Watch or listen to the full Climate Hive episode, What Do You Solve?, to hear Fengmin Gong discuss food waste prevention, kitchen intelligence and the future of AI in foodservice.
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