Machine Learning & Demand Planning : How predictive algorithms are transforming sales forecasting in the pharmaceutical industry

In the pharmaceutical industry, inaccurate forecasting can lead to far more than a simple inventory gap: supply disruptions, lost revenue, lower fill rates, and increased pressure on teams.

At a time when demand planning processes still often rely on limited statistical models, Machine Learning makes it possible to integrate a wider range of signals, better capture complexity, and automate part of the forecasting process while maintaining explainable results.

In this white paper, Thibaut Dyen, Mickaïl Voyiatzis, Franck Kakal, and Guilhem Delorme share their analysis of pharmaceutical demand planning challenges, the technology levers to activate, and the concrete results observed in the field:

Download the white paper to discover our approach.