Always have the parts you need—when you need them—with spare parts inventory optimization rules-based processes that automate service parts requisitions
Accurate and scalable service parts identification can greatly improve your responsiveness to issues—and your inventory management. Ensure the right parts are in the right place at the right time by automating parts requisition to improve first-time fix rate and decrease unscheduled downtime. Our customers achieve:
Inventory reduction
First time fix rate
Less unscheduled downtime
Quickly identify optimal service parts stocking levels across all echelons and have confidence in their availability to deliver faster, more cost-effective service.
Time spent procuring parts can waste truck rolls and delay repairs—and if replacements are out of stock, skilled technicians are powerless to help customers resolve costly downtime. Improve parts planner efficiency and productivity by employing solutions that automatically make service parts requisitions based on rules, policies, and constraints—freeing up your parts planners for value-add activities. Empower your technicians to rapidly complete service procedures and ensure your service parts inventories are optimized according to your cost and demand goals.
Understand the costs, demand, and most effective combined lead times of parts to determine where to invest the next piece of inventory in the network. The marginal analysis approach of multi-echelon inventory optimization enables you to achieve target network fill rates while ensuring the correct mix of parts, reducing inventory costs up to 30% while increasing service levels. See how Metso improved inventory turns by 18% and reduced costs by EUR 41.6 million.
Take control of sourcing and servicing mission-critical parts. Pratt & Whitney achieved a 10% reduction in inventory and a 10% increase in service parts fill rate by upgrading to Servigistics to gain consistency in their service parts planning after merging two business units.
Ensure the most efficient service performance possible at the lowest cost by: