Using Azure ML to Build a Recommendation Engine for E-Commerce Sites

Customer personalization is critical to E-Commerce sales. It’s used to increase cart size, maximize margin and retain customers. In order to retain customers, it is critical to analyze their historical buying patterns and other interactions so that we can make valuable recommendations and entice them to BUY AGAIN.

Many online retailers are aware that they need personalized and automated recommendations for their E-Commerce websites, but are not sure how to get it done, as it’s not as straight forward as you would think.

In this video, Dunn Solutions will show you:

1. Why personalization is the key to retaining customers
2. Implementation of recommendation systems in Azure ML
3. How can one leverage these recommendations to target their customers

For more information, please visit www.dunnsolutions.com

Видео Using Azure ML to Build a Recommendation Engine for E-Commerce Sites канала DunnSolutions