In 2019, a thirty-year veteran meat department manager of a major grocery store chain developed a system to limit the large amount of shrink his department was consistently reporting. In the face of high inflation and unpredictable markets and supply, he was desperate to make his store stand out with exemplary profitability. He started by creating numerous spreadsheets to keep weekly sales records and several forms to track what was in stock and where the stock levels were throughout the week. All this was accomplished manually. The process was heavy, complex, and time-consuming. But, with intensive effort, he cut his shrink by as much as 75% every week, and his department became the model of a well-oiled machine. However, to keep this system running smoothly, it took him 6 to 12 hours a week to manage and implement, depending on the ad.

In a conversation with an IT professional, it was suggested that this could be automated and used in any commercial enterprise with a good bit of work. The IT professional ran with the original idea and authored an entirely new concept introducing Predictive Data Management. At his own expense and on his own time, after a year and a half of trial and error, with multiple design upgrades, an automated Predictive Management Process was completed. It was then presented to the manager for testing.

For the next 2 years, the process was beta-tested and proved to be everything it was designed to be. It consistently produced predictive data that enabled the manager to maintain accurate inventory control that reduced shrinkage and saved him the 6 to 12 hours a week that his own system had demanded of him. The manager was ecstatic!

This process is now available to your store and store groups to assist in decreasing your shrinkage and meeting the needs of your customers.