A business struggled with inaccurate demand forecasts, leading to significant operational inefficiencies. Both under-forecasting (resulting in stockouts and lost sales) and over-forecasting (leading to excess inventory and storage costs) were impacting profitability. They needed a robust, adaptive forecasting model that could handle complex market dynamics and provide a higher degree of precision.

We implemented a Champion-Challenger framework to scientifically test new forecasting models against the existing "Champion." Our methodology focused on continuous learning, allowing us to identify and deploy the most accurate models for dynamic market conditions.

We delivered a predictive platform that provides highly accurate demand forecasts, along with an integrated monitoring dashboard. This system allows the client to visualize forecast performance in real-time, anticipate market shifts, and make more informed decisions about inventory, production, and procurement.

Our solution transformed the client's supply chain, enabling them to make proactive decisions that directly impacted their bottom line. We achieved a +25% improvement in forecast accuracy.