ThroughPut.AI has launched new predictive parts management capabilities. These capabilities aim to optimize sourcing, reduce unplanned downtime, and improve production reliability for businesses.

The new release includes AI-powered prediction of parts requirements, categorization and prioritization of parts based on usage, and intelligent decision support for maintenance scheduling. It also offers supplier ranking based on fulfillment capabilities and dynamic smart recommendations for safety stock levels and replenishment at the individual part and kit level.

ThroughPut.AI claims that these capabilities will help businesses prevent inventory failure due to overstocking or understocking of spare parts and kits. The company states that this technology will optimize supply chain processes, improve asset availability, and reduce material waste and unnecessary spend.

Analyst QuickTake: In July 2024, ThroughPut.AI launched new AI-powered inventory management features. The new features included inventory projection, predictions, and recommendations for near-, short-, and mid-term periods, enabling businesses to minimize overstocking and stockouts. These AI-enabled features are aimed at enabling companies to prevent supply disruptions and optimize their supply chain operations.