AI could help supermarkets and restaurants predict food demand more accurately, minimizing overstocking and reducing food waste. Surplus food could be flagged by the system and automatically redistributed to local food banks or sold at reduced prices before it spoils.
Predictive food waste management tackles overstocking by using AI to forecast demand, helping businesses order the right amount of food and reduce waste. It also enables quick identification of surplus, which can be redistributed to food banks, preventing waste while supporting communities in need. This dual benefit of efficiency and social impact could make such systems highly valuable. What do you think—could this approach drive widespread adoption?
This content is created by the open source Your Priorities citizen engagement platform designed by the non profit Citizens Foundation