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    Winn-Dixie to Automate Ordering Process

    Winn-Dixie plans to deploy new forecasting and ordering software chain-wide to create automatic orders, optimize inventory and reduce out-of-stocks.

    Winn-Dixie plans to deploy new forecasting and ordering software chain-wide to create automatic orders, optimize inventory and reduce out-of-stocks.

    The chain will use the SuperStore computer-generated-ordering (CGO) solution from Dallas-based SAF U.S.A., Inc.

    “Our goal is to continuously improve the quality of our customers’ shopping experience,” said Charlie Weston, Winn-Dixie CIO. “Once implemented, SAF’s SuperStore solution should provide us with the technology to improve our in-stock position of everyday and promoted products to meet our customers’ needs. By optimizing our inventory, we also expect to reduce out-of-stocks, and ultimately increase sales revenues across the supply chain.”

    According to SAF, the SuperStore solution will automate Winn-Dixie’s orders using a demand-chain management approach based on forecasted sales and current inventory levels.

    The solution’s forecasts will also take factors such as seasonal effects, promotions, price changes and advertising campaigns into account to provide cost-effective, accurate orders. Further, micro-forecasting will allow each item’s sales history to be used to address changing sales patterns in each store to meet localized demand.

    Jacksonville, Fla.-based Winn-Dixie operates 520 retail grocery locations, including more than 400 in-store pharmacies, in Florida, Alabama, Louisiana, Georgia and Mississippi.

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