"Developed in partnership with restaurant AI company PreciTaste, the system uses in-store cameras to track inventory in real time and forecast demand for each type of donut. Those predictions factor in recent sales, weather, seasonal patterns, holidays, days of the week, and major local events such as college football games. So far, the companies say, Do'Cast has reduced donut and Munchkin donut hole waste by up to 25%, lowering costs while ensuring top-selling treats stay available."
"Any unsold donuts are tossed at the end of the day, and before rolling out Do'Cast about seven months ago, the company saw an average of just under $100 per waste at each store per day, says Margo Hughes, Bluemont's director of business services. That adds up to more than $3 million in discarded donuts each year, Hughes says. "Even to cut that in half is one-and-a-half-million dollars in savings," she says. "That's a big deal.""
An AI system named Do'Cast uses in-store cameras and predictive models to monitor donut inventory in real time and forecast demand by type. Predictions incorporate recent sales, weather, seasonal patterns, holidays, day of week, and major local events such as college football games. The system has reduced donut and Munchkin-hole waste by up to 25%, lowering costs while keeping top-selling items available. Bluemont Group, operating about 99 Dunkin' stores with daily deliveries from a central bakery, previously averaged just under $100 of waste per store per day, totaling over $3 million annually.
Read at Fast Company
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