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AI Use Case

Optimise maintenance, repair, and operations parts and equipment inventory

Maintenance, repair, and operations equipment inventory optimisation balances kit inventory with predicted maintenance needs in order to reduce inventory costs and minimise obsolete and excessive inventory.



General Operations


Cost - Lifecycle maintenance support cost reduction,Cost - Reduced inventory costs,Cost - Reduced replacement costs

Case Studies

Korean Air ~Korean Air reduces maintenance defect history analysis lead times by 90% and improves on-time performance with machine learning and natural language processing ,Sears ~Sears Appliance Repair Unit gains 5 - 6% productivity by predicting parts required for field worker repairs,UPS~UPS plans to streamline internal operations by tracking every package and asset in real-time using sensors and machine learning,IBM~IBM launches Equipment Maintenance Assistant to predict equipment maintenance requirements and aid technicians in diagnosis and repair using machine learning

Potential Vendors

IBM Watson,IBM



Machinery Equipment And Components

Data Sets

Structured / Semi-structured,Time series

AI Technologies

ML Task - Action Selection - Reinforcement Learning ,ML Task - Prediction - Regression,Machine Learning (ML),Traditional AI

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