Case Study: FMCG Company achieves 37% higher service levels with Quantzig's machine learning inventory planning

How Inventory Planning Strengthened Service Levels for an FMCG Client

Quantzig worked with an FMCG Company that wanted to use machine learning to optimize inventory levels across its distribution centers. The goal was to improve fill rates and ROI while managing the challenge of balancing inventory holding costs, stock-outs, demand variability, and limited inventory visibility.

Quantzig implemented an inventory planning solution using historical sales, inventory, warehouse, and supplier data, along with statistical and machine learning methods to forecast demand and optimize safety stock, reorder levels, and order quantities. The project delivered a 37% uplift in service levels by helping the FMCG Company accurately predict optimal inventory and safety stock levels.