How AI can reduce food waste

Lassonde PhD Student and co-founder of York University start-up Deepnify, Nima Shahbazi, is exploring how AI and machine learning will eliminate food waste in grocery stores.

“ Predicting enough supply to meet demand is very difficult, so grocery stores stock up on more food than necessary.”

See transcript below

AI is being used to reduce food waste.

Much of that waste is from grocery stores tossing unsold food.

Predicting enough supply to meet demand is very difficult, so grocery stores stock up on more food than necessary.

Toronto start-up Deepnify is using machine learning to better forecast the amount of food grocery stores should stock each day.

Nima Shahbazi: Machine learning will eventually let grocery stores operate without waste, saving more than ten billion dollars worth of waste in Canada.

Nima Shahbazi: As a result, all food companies will need a zero waste supply chain in order to price competitively.

When grocery stores only order as much food as they need, they can significantly reduce their food waste.

Deepnify is testing its AI software with two Canadian grocery chains.

The early results will show promise.