Wish, the “Shopping Mall in Your Pocket,” built one of the most popular ecommerce platforms with more than 15 million daily active users within 18 months.

One of their major findings was that the mobile shopping experience mostly doesn’t rely on search but on browsing with an intent to buy.

This case study explains how an enterprise customer data platform technology can ingest massive amounts of data, predict customer needs with machine learning A/B testing and help deliver the right experience. 

Included in this case study:

• How Wish built the #1 shopping app based on personalized recommendations
• The challenge in unifying customer data from multiple sources
• The goal to improve the CX by guiding shoppers to their purchases