Dataiku Guidebook

Shift to ML-Based Models

For More Efficient Stock Optimization and Anomaly Detection

In the age of AI and eCommerce, traditional distribution solutions are not fast or adaptive enough to engage with customers’ ever-changing tastes. This guidebook provides a high-level overview of how machine learning-based anomaly detection can be effectively used in retail, including for stock optimization. 

3D Cover Retail Stock Optimization and Anomaly Detection

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This Guidebook Contains:

  • An overview of anomaly detection applications in the retail industry

  • The common challenges we’ve experienced in implementing anomaly detection systems, and best practice solutions

  • A concrete step-by-step path to a machine learning-based stock optimization POC