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.
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