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Client€1B Global Food and Beverage Company
SprintAn 8-10 week sprint
Fieldwork5+ workshops conducted
“SprintlyWorks helped us bring structure and clarity to our inventory planning across regions.”
Head of Supply Chain
Operational Improvement

Optimizing Inventory Planning for Coffee Trade

October 2025 2 min read SprintlyWorks

The client aimed to enhance inventory efficiency within its Coffee Division by consolidating three Baltic warehouses into a single regional hub. However, fragmented forecasting methods, limited visibility across sites, and high wastage from short-shelf-life products hindered operational performance.

97%
Service level designed. Order quantities and safety stock were modelled across the Helsinki central warehouse and the new Baltic hub to hold service at 97% while reducing cost.
10%
Waste reduction potential. Shelf-life-based inventory modelling identified potential to cut disposal losses in short-shelf-life SKUs and improve stock freshness.
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

Independent warehouse management led to overlapping SKUs, inconsistent safety stock levels, and rising holding costs. Without a unified approach to order sizing or coordination between the Helsinki central warehouse and the Baltic hub, the client struggled to balance cost, waste, and service reliability.

The client needed a structured, data-driven model to optimize inventory allocation, minimize waste, and stabilize service levels across traded goods.

02

What the sprint set out to do

  • Map and assess current inventory practices across Helsinki and Baltic warehouses to identify inefficiencies and data gaps.

  • Develop a simulation-based inventory model incorporating demand variability, lead times, and shelf-life constraints.

  • Define optimal reorder quantities and safety stocks to minimize waste while ensuring consistent service levels.

Download the full case study

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