Supermarkets are using AI to predict sales

Key Points:

  • Machine learning system from Freshflow reduced supermarket produce waste by nearly 30%
  • Startups leveraging technology to reduce food waste and increase profits
  • BlakBear’s gas-sensing technology aims to replace use-by dates on fresh food products

Summary:

In rural Germany, a supermarket reduced produce waste by nearly 30% by embracing AI. Freshflow, a startup behind the tech, aids retailers in predicting customer demands for fresh goods with impressive accuracy. These advancements are vital as the EU grapples with over 60 million tonnes of food waste yearly.

 

A UK-based firm, BlakBear, is revolutionizing food freshness tracking with gas-sensing sensors that can detect spoilage in proteins, potentially replacing traditional use-by dates. This innovative approach is gaining traction in the retail sector, where millions of these sensors may soon be deployed across food supply chains.

 

Predictive analytics isn’t just for retailers; Fresh4cast empowers food suppliers to optimize decision-making in a volatile market, ensuring efficient use of resources and promoting sustainability. As high-tech tools reshape the food retail landscape, the key is to balance innovation with human intuition to achieve optimal outcomes.

 

While these AI tools offer great promise, users must stay vigilant and adjust strategies as needed to capitalize on their benefits fully. With Covid-19, market uncertainties, and changing consumer behaviors shaping the scene, leveraging cutting-edge technology could be the key to success in the evolving retail arena.

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