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How a Grocery Chain Cut Waste by 40 Percent With Predictive Ordering

Episode 78 of The Operations Podcast with Fexingo dives into how a regional grocery chain slashed food waste by 40 percent using a predictive ordering system. Lucas and Luna break down the specific technology, the data sources used—including weather and local event feeds—and the surprising cultural shift required among store managers who had to trust algorithms over intuition. They also touch on the financial impact: saving roughly $2 million annually across 80 stores. This isn't a generic lean story; it's a close look at the intersection of machine learning and perishable inventory…

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