We implemented an artificial intelligence-based solution to automate and improve stock planning at the Martorelles plant.

Towa International, the international hub of Towa Pharmaceutical — a leader in the Japanese generic drug market — identified the need to optimize stock management at its Martorelles plant in order to ensure product availability, reduce tied-up capital, and free up resources from its planning team.

At IThinkUPC, we developed an artificial intelligence-based solution consisting of a predictive consumption model (XGBoost) and a stock optimization model based on Reinforcement Learning. This combination enables the automatic adjustment of purchase orders according to a strategy aligned with the company’s operational and financial goals. Successfully validated in a pilot with several molecules, the system has improved material coverage and reduced tied-up stock, marking a shift toward proactive and intelligent inventory management.

Discover how we carried out this project by reading the full success story.