Towards a Sustainable Food Supply Chain Powered by AI
About 30-40% of food produced worldwide is wasted. This puts a severe strain on the environment and represents a $165B loss to the US economy alone. This talk explores how AI can automate decisions across the food supply chain in order to reduce waste and increase the quality and affordability of food. We focus our attention on supermarkets, and describe an intelligent decision support system that uses model-based reinforcement learning to help store managers make better operating decisions. In a real-world pilot with a US supermarket chain, our system yields significant waste reductions, while increasing store profits.
Volodymyr Kuleshov is the co-founder and CTO of Afresh, a startup that uses AI to fight food waste. He obtained his Ph.D. in Computer Science from Stanford University, where he was the recipient of the Arthur Samuel Best Thesis Award. Volodymyr’s work has been featured in Nature Biotechnology, Nature Medicine, Nature Communications and Scientific American and was awarded an NSERC Post-Graduate Fellowship and a Stanford Graduate Fellowship. He is also a co-inventor of the machine learning technology that powers the phased genome sequencing product of Illumina Inc, following its acquisition of the Stanford spin-off Moleculo.