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  • Aug 02 2020: The U.S. Has a Food Waste Problem. A.I. is Fixing it

Aug 02 2020: The U.S. Has a Food Waste Problem. A.I. is Fixing it

Back In The Day: Edition 2024-01-12

Start-up companies in the "Internet of Groceries" industry are using machine learning tools to reduce food waste. One of these companies, Shelf Engine, uses analytics to help retailers make better decisions about what to order, ultimately reducing waste and increasing profits. They also buy back unsold stock, guaranteeing sales for retailers.

In the United States, between 30% and 40% of produced food is wasted, costing $161 billion annually. This waste is both an ethical issue and an environmental concern. By automating the decision-making process, companies like Shelf Engine hope to make a significant impact in reducing food waste.

Grocery stores in the US waste $28 billion worth of food each year. To combat this issue, Albertsons, one of the largest grocers, has implemented artificial intelligence (AI) software from the startup Afresh Technologies. This software helps forecast demand and place orders for perishable items, allowing the stores to order smaller quantities more frequently.

The use of this technology has shown promising results, with customers reducing food waste by 25% on average, leading to increased profits. More grocery stores are adopting similar technologies to cut down on waste and boost their bottom line.

How can artificial intelligence technology help grocery stores reduce food waste and increase profits?

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