Predicting grocery needs is difficult, especially in the recent unpredictable environment. Harris Farm Markets needed a way to consistently meet consumers’ demand for variety and freshness.
Using DataRobot’s Automated Time Series, Harris Farm Markets put in place a data-driven decision-making solution for the chain’s stocking operations taking into account a wide range of data points, from seasonal impacts to customer numbers.
Within a few months, Harris Farm’s DataRobot implementation resulted in 400 deployments for demand and 30 for customer-number forecasts, using 25 individual models for hourly numbers and five clustered models for daily numbers. The net result: an estimated tenfold increase in capacity of their resources to create demand forecasts, leading to much more accurate purchasing of perishable inventory.