We Predict Human Behavior in Cities

Case Study 5



Understanding where customers live and what in the environment is driving revenue. 


The Challenge

How do you place new store locations in cities you haven't operated in, in crowded markets, or in emerging markets that don't offer census and other standard data?

The Solution

Zoba brings together thousands of variables that show how a city works as a system. These data are both spatial and temporal in nature and allow us to look at historical events in the context that they occurred. 

The combination of our data and our algorithms with a retail company's historical sales data, we can predict what type of contexts in cities provides that company with the best performance, then find those contexts in current and future markets. We can do this anywhere in the world. 

Screen Shot 2018-05-09 at 11.39.09 AM.png

Screen Shot 2018-05-09 at 11.41.50 AM.png


By placing stores in the right contextual environments, we can increase the likelihood of store success before ever entering a market.