A supermarket chain needed advanced data tools to help them stock their stores with the right products at the right times. They turned to Pythian’s data experts.
Keeping well-stocked shelves can be challenging for large grocery chains, which typically retail thousands of different items—not to mention having to deal with suppliers and manage retail locations spread across large geographic areas. To keep inventories up-to-date in such a fast-moving business requires careful planning and the right data processes.
For one major supermarket chain, achieving the proper requisitioning of supplies for next-day or future sales took each retail store manager upwards of five to six hours per day of inventory-taking and manual form-filling. The company needed a set of efficient data tools to not only stock stores with the right products at the right times, but also an automated system that could accurately predict future sales and replenishment needs based on location, time of year, and other crucial factors.
Rather than investing in a complex and expensive demand forecasting product, the client turned to Pythian’s data experts for a more tailored approach.
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