Dataiku Guidebook

Shift to ML-Based Models

For More Efficient Stock Optimization and Anomaly Detection

In the age of AI and e-commerce, 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