Ever since they began collecting point-of-sale purchase data, food retailers have sought ways to use the data as the basis for forecasting future consumer demand. Such forecasts, if accurate, would enable retailers to ensure full-stock conditions while keeping inventory to a minimum. However, few retailers have fully realized the predictive potential of POS data. In part, the necessary computing power to drive forecasting engines was unavailable or too expensive. Now, though, ...

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