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Client€1B Nordic Consumer Retail Group
SprintAn 8-10 week sprint
Fieldwork10+ interviews conducted · 3 processes mapped
“SprintlyWorks gave us the clarity and tools to make our replenishment planning faster and more reliable”
Head of Supply Chain Coordination
Operational Improvement

Optimizing Warehouse Replenishment Efficiency

October 2025 2 min read SprintlyWorks

The client, a €1B Nordic consumer retail group, aimed to enhance the efficiency and accuracy of replenishment at its central warehouse, which manages product flows across 350+ stores and 700+ product lines. However, purchasing teams were at full capacity managing daily operations, leaving little time to analyze data or improve forecasting accuracy.

30%
Reduction in manual planning effort, potential identified. Streamlined replenishment workflows and minimized manual checks across warehouse operations.
20%
Improvement in stock efficiency, potential identified. Replenishment quantities rebuilt through data-driven segmentation and improved forecast accuracy, shortening the replenishment cycle by 15%.
A note on sourcing. Every figure here comes from a SprintlyWorks client engagement. Clients are described, never named. Where a figure is identified or modelled rather than banked, the line says so.
01

The problem

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, the client risked continued overstocking, excessive manual workload, and slower response to changing store demands.

02

What the sprint set out to do

  • 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.

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