ML Applications In Retail
Optimizing AOV & Inventory Management
Is machine learning (ML) part of your retail business strategy? If it isn't, it should be. Machine learning is a critical component when optimizing average order value (AOV), improving inventory management, reducing waste, and more accurately detecting fraud.
However, you need to be deliberate in your ML implementation. When ML is done poorly, it’s worse than doing nothing at all.
Join our webinar with Chief Architect, Phil Horwitz, and Senior Vice President of Delivery, Joe Rose, where they will share real world examples of ML and how technologies like the AWS ML stack can be implemented to achieve specific goals within the customer journey. Walk away with an understanding of where to apply ML, where to use real people and what makes the largest impact.
Our experts will cover the top five do’s and don’ts in each of the areas below when implementing ML into your overall digital transformation strategy:
- Product recommendations and market basket analysis
- Demand planning and inventory logistics
- Buyer segmentation (loyalty programs, membership)
- Fraud detection and prevention
If you can't attend live, register anyway and we'll send you the recording.