Case Study: Mettler Toledo transforms global planning and cuts inventory with Algo Intuiflow

Mettler Toledo cuts missing parts by 75% with Algo

Mettler Toledo, a global manufacturer of precision instruments, faced a plateau in supply chain performance with flat on-time delivery, declining inventory turnover, and decreasing forecast accuracy. Their forecast-heavy SAP planning environment was slow to adapt and created significant complexity across their vast operations. The vendor Algo, through its Intuiflow software, provided a solution to test and implement a Demand Driven MRP (DDMRP) model.

Algo implemented Intuiflow to simplify planning around real demand signals instead of forecasts. The solution was rolled out across 20 plants in three regions, resulting in global stock availability exceeding 99% and inventory being reduced by tens of millions of dollars. The implementation also led to fewer missing parts, reduced planner workload, and the introduction of AI-driven buffer optimization, achieving five of the company's six key business objectives.

Mettler Toledo