Case Study: a large pharmaceutical company achieves 90% delivery accuracy with Syren ATP

Large Pharmaceutical Company - Customer Case Study

A large pharmaceutical company was facing significant supply chain issues, including unreliable delivery timelines, frequent stockouts, and a lack of real-time visibility that led to customer dissatisfaction. To overcome these challenges, they partnered with Syren for its AI-powered Available-to-Promise (ATP) solution.

Syren implemented its end-to-end ATP application, which utilized a centralized data lake to unify disparate ERP data. This was enhanced with machine learning for inventory allocation, capacity forecasting, and lead time prediction. The solution delivered a 90% improvement in delivery date accuracy and saved the company 19,980 man-hours annually by automating manual processes.