Successful Maintenance Repair and Operations (MRO) inventory management usually requires handling a very large parts catalogues with extremely diverse demand and supply behaviors. Every part is different, from very expensive to low cost items, and from a few fast movers to many extremely slow movers. High service levels are required for all, but especially for critical parts.
We help companies address the core MRO operational challenge of efficiently managing a very large number of parts across a diverse network. We offer an exceptional ability to model intermittent demand and slow moving inventory. It delivers stable, reliable and very high service levels: Our customers routinely obtain service levels in the high 90s with 20% less inventory.
Demand modeling simultaneously models both random independent statistical demand and dependent demand from specific causal factors (e.g., mean-time-to-failure). It supports segmentation policies that aggregate target service levels for differentiated stocking policies and service levels. Machine learning addresses even the most extreme seasonal demand profiles, and also handles new product forecasting, returns and substitutions.
Multi-echelon inventory optimization aggregates independent and dependent demand to deliver high customer service levels, even across complex networks. It also addresses multi item-type management, multi control-type management, M to N super-sessions, and Vendor Managed Inventory (VMI).