Case Study: Clover Technologies improves forecast accuracy with AI and machine learning from Concurrency

Clover Technologies boosts forecast accuracy 44% with Concurrency

Clover Technologies Group, a global printer cartridge remanufacturer, faced a significant challenge with its monthly sales forecasting process. The company relied on a combination of ERP tools and Excel, requiring substantial manual effort and over 18 hours of computational time, which often failed and needed re-running. Partnering with Concurrency, Inc., Clover sought to leverage AI and machine learning to revolutionize this critical operation that drove its manufacturing and supply chain decisions.

Concurrency implemented a machine learning solution using Microsoft's platform to fully automate the forecasting process. This new approach slashed computational time from 18 hours to just 10 minutes and increased demand forecast accuracy by 44%. The results provided by Concurrency enabled Clover to identify operational efficiencies, leading to anticipated benefits including lower backorders, decreased supply chain costs, and increased customer satisfaction.

Clover Technologies Group