MACHINE LEARNING

AI Demand Forecasting for Smarter Inventory Planning and Revenue Growth

Accurate demand forecasting is essential for optimizing inventory, reducing waste, and improving profitability. We developed an advanced AI forecasting solution that continuously identifies the best-performing predictive models, helping retailers make more informed decisions at every level of the business.

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Impact

+$150M

in Revenue

Best-in-Class Forecast Accuracy

Store-SKU-Day Level Forecasting

Mudrick & Associates partnered with a $5B apparel retailer to improve demand forecasting using an ensemble of advanced machine learning and artificial intelligence models deployed within the client's cloud environment. Rather than relying on a single forecasting approach, the solution evaluated multiple models across high-dimensional datasets to produce highly accurate forecasts at the individual store, SKU, and day level.

At the core of the solution was our Champion vs. Challenger framework, which continuously compared forecasting models to determine the best-performing algorithm for each business segment. By combining technologies such as Abacus AI, Facebook Prophet, ARIMA, Support Vector Machines (SVM), and Vertex AI, the platform dynamically selected the most accurate model as conditions changed. This adaptive approach significantly outperformed traditional forecasting tools while integrating seamlessly into the client's existing production environment.

The Result: The solution significantly improved forecast precision over legacy platforms such as JDA and Blue Yonder, generating more than $150 million in incremental revenue while integrating seamlessly into downstream production systems following validation.