Use Case

Global Recommendation Engine

Digitally savvy consumers are exposed to an ever-increasing variety of products and information. This deluge of information has led to increased diversity in product demand ... a growing challenge for retailers.

I solved this challenge through the application of advanced data mining and artificial intelligence. My out-of-the-box recommendation algorithms quickly and efficiently analyze large groups of customer attributes and preferences.

Then, to reduce bias, I input missing data with estimated values based on available information and trends.

The outcome is a personalized customer product recommendation engine at global scale; all of this in just eight weeks.