Case Study: a large Canadian consumer packaged goods retailer achieves 80% out-of-stock prediction accuracy with Adastra

Large Canadian Consumer Packaged Goods Retailer predicts out-of-stocks 80% accurately with Adastra

A large Canadian consumer packaged goods retailer, operating more than 2000 stores, faced the challenge of manually managing its vast supply chain. They needed a real-time visualization of their network and a way to predict product out-of-stocks with enough lead time to take preventive action, but their existing systems were too slow and inefficient. Adastra was engaged to develop an advanced AI and data solution.

Adastra developed a predictive data model that integrated supply chain metrics, stock details, and demand information. The solution, built using technologies including Spark GraphX, provided a 5-second response time for business managers. This gave the client an 80% ability to predict out-of-stock items two days in advance, allowing their team adequate time to request backup shipments and prevent lost sales.