The challenge
The client wanted to estimate customers’ likelihood of buying any of 30 key products. Customer information was spread across systems, without a centralized data warehouse.
The solution
Ensar applied predictive modeling to product propensity and campaign response, combining deep learning, full-stack development, and Azure with AI architecture and automation.
What we delivered
The website-based solution supports targeted campaigns by identifying customers more likely to buy particular products. Teams can use those predictions to make product messages and benefit communication more relevant.