Case Study: APi Group reduces over-stock and improves delivery accuracy with Kortical AI

A Kortical Case Study

Preview of the APi Group Case Study

Inventory optimisation using AI to reduce over-stock

APi Group, a large US and UK printing business, was struggling with highly inaccurate demand forecasts from its biggest customer. This made it difficult to plan inventory, led to excess stock and wastage, and sometimes caused missed delivery dates. APi Group turned to Kortical for AI-driven demand forecasting and inventory optimisation support.

Kortical built a tailored time-series machine learning model using its AI cloud platform, then applied optimisation techniques to balance stock levels and service performance. The result was an 11% improvement in on-time delivery accuracy and an 8.5% reduction in over-stock, helping APi Group lower warehouse capital tied up in inventory while improving customer satisfaction.


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