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Japanese retailers using AI to cut food waste with weather info, purchasing data
The Mainichi
© The Mainichi
A sales forecast shown on a tablet is seen in this photo taken in Fukuoka, on Dec. 11, 2020. It can also be checked via computers and smartphones. (Mainichi/Sayo Kato)
FUKUOKA -- An initiative in Japan to cut food waste using artificial intelligence-based correlation analysis between weather information and consumers' purchasing data to forecast demand for certain products has proven effective as some stores have seen the rates of discarded items drop and sales increase.
The trial was launched by the Japan Weather Association and the Fukuoka Municipal Government along with retailers in this southwestern Japan city. The weather body has been offering a demand forecast service, in which AI predicts sales of at least 660 items sold at stores based on a series of data including weather, what temperatures it "feels like," information circulating on social media and past sales data. The sales forecast is shown in seven stages, from "the very best time to sell" to "the worst time."

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