Using AI to forecast food demand and reduce post-harvest losses

Post-harvest food loss is one of the agriculture industry’s most stubborn and costly problems. Globally, up to 30% of food is lost between harvest and consumption, a massive blow in a world where millions still go hungry. At the same time, mismatches in food supply and demand continue to plague both producers and consumers, highlighting the urgent need for smarter, more agile systems. This is where artificial intelligence (AI) steps in, not just as a tool but as a game changer. AI is revolutionising how we grow, store, move, and consume food by empowering farmers to make real-time decisions based on predictive insights, helping retailers align stock with actual demand, and enabling warehouses to maintain freshness longer. Through smart algorithms, machine learning, and advanced sensors, AI can accurately forecast food needs and significantly reduce post-harvest losses.