Which food retail analytics innovation has been shown to reduce supermarket food waste by up to 40% through AI-powered demand forecasting?

In today's competitive food retail landscape, companies are increasingly leveraging advanced data analytics to optimize everything from inventory management to personalized marketing. This trivia question focuses on how modern grocers and food retailers are using predictive analytics to reduce a specific type of waste that has significant environmental and financial implications.

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Shelf-life prediction systems that dynamically price items based on remaining freshness
Customer traffic pattern analysis that optimizes staff scheduling for deli and prepared food sections
Weather-based inventory systems that only adjust frozen food orders
Social media sentiment analysis tools that predict trending food products