Retail Industry, Supply Chain
Optimizing Warehouse Replenishment Efficiency
Problem Statement
RetailCo aimed to enhance the efficiency and accuracy of replenishment at its central warehouse, which manages product flows for over 350 stores nationwide. However, purchasing teams were at full capacity managing daily operations, leaving little time to analyze data or improve forecasting accuracy.
Existing planning processes relied heavily on manual checks and fragmented data across systems, reducing confidence in system-generated order proposals. This created inefficiencies in stock management and limited visibility into demand patterns.
Without structured intervention, RetailCo risked continued overstocking, excessive manual workload, and slower response to changing store demands.
Key Objectives
Map the replenishment process, identifying bottlenecks and improvement opportunities through collaboration with key teams.
Develop data-driven segmentation, categorizing products by sales and demand predictability to focus planning efforts effectively.
Build and implement practical tools, enabling faster, more accurate replenishment decisions and reducing manual effort.
Delivered Values
30%
Reduction in manual planning effort. Streamlined replenishment workflows and minimized manual checks across warehouse operations.
€3M
Savings from reduced overstock. Optimized replenishment quantities through data-driven segmentation and improved forecast accuracy.
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"SprintlyWorks gave us the clarity and tools to make our replenishment planning faster and more reliable"
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