Many brands struggle with seasonal demand — and one of our recent clients, a French retail brand, was no exception. They were constantly stuck between two costly problems: • Overstocking items that didn’t sell • Running out of high-demand products too soon The root issue? Inaccurate demand planning. We stepped in and built a custom AI-powered forecasting system tailored to their business. Using historical sales data directly from their ERP, we developed a time series forecasting model combining SARIMA, CatBoost, and Random Forest. This allowed us to analyze past seasonal trends and predict future demand in real time. The result: • More informed inventory decisions • Reduced waste and missed opportunities • ~80% forecasting accuracy Smarter planning leads to stronger margins — and that’s exactly what we aim to deliver.