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How a Japanese Convenience Store Chain Reduced Spoilage by 60 Percent
In this episode of The Operations Podcast, Lucas and Luna examine how Japan's FamilyMart, a major convenience store chain with over 16,000 locations, slashed food spoilage by 60 percent using demand forecasting AI. They drill into the specific numbers: how the system reduced unsold bento boxes and onigiri from an industry average of 8 percent to just 3.2 percent, saving an estimated ¥30 billion annually. The conversation covers the operational mechanics — how the AI integrates point-of-sale data, weather forecasts, and local event calendars to predict demand at the store and hour level…
The skinny
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