Challenge
A global manufacturer of aircraft engines, avionics, and other aviation products maintains 90 major product lines with variations that require tens of thousands of parts from hundreds of manufacturers spread across the globe.
The complexity of the supply chain, and the costs of maintaining inventory, is significant. For just two of the components of its aircraft engines, the company maintains $600 million in parts inventory, including $400 million in fast-moving inventory, from hundreds of suppliers. Optimizing inventory levels can mitigate supplier delays and improve gross margins and revenue.
Approach
As part of its push to optimize operations and invest in software, the company undertook a trial of C3 AI Inventory Optimization application. By applying artificial intelligence to build a real time view of inventory levels and supplier risks, the company reduced inventory levels while still maintaining or even improving service levels. After a 10-week trial, the company demonstrated significant savings in inventory holding costs and accurately predicted supplier delays.
Solution Architecture
Proven results in weeks, not years
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