Target, Walmart, Macy’s & Kohl’s: Demand Forecasting in a Dynamic World

Demand Forecasting models using Machine Learning (ML) have significant potential for retailers to increase revenue and streamline operations. However, these models face challenges in production due to the long time it takes to obtain ground truth data, making it difficult to measure model performance and adjust accordingly. Additionally, new trends or seasonal changes can cause inaccurate predictions, leading to potential profit loss. Proper monitoring of ML models is essential for retailers to improve Demand Forecasting and ensure its value is showcased. Aporia's ML Observability platform enables companies to centralize, visualize, and maximize the value of their machine learning models through customizable dashboards, advanced monitoring, explainable AI, and root cause investigation tools.

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