Food & Beverage Industry, Supply chain
Optimizing Inventory Planning for Coffee Trade
Problem Statement
CoffeeCo 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.
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, CoffeeCo 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.
Key Objectives
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.
Delivered Values
20%
Lower inventory costs. Optimized order quantities and warehouse allocations reduced holding and logistics expenses across Helsinki and Baltic hubs.
30%
Reduction in product wastage. Shelf-life-based inventory modelling cut disposal losses in drinkable SKUs and improved stock freshness.
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"SprintlyWorks helped us bring structure and clarity to our inventory planning across regions."
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