Combining the isochrones with customers locations makes it possible for you to visualize customers living at **X** min from your distribution network locations. 

For example, the image below shows 2 isochrones reachable by car starting from their center :
- <span style="color:#C5F4DA"> **In 5 min** </span>
- <span style="color:#A2D2ED"> **In 15 min** </span>

![Screen Shot 2021-07-13 at 10.57.00 AM.png](PRgZTYJkmY7I)
 
 Knowing that the customers inclusion in distribution location isochrones is stored in dataset [locations_customers](dataset:locations_customers), we could imagine: 
 
 - Gather it in order to enrich your existing customers information. This would add more features in customer-oriented projects like segmentation, lifetime value forecast or churn.
 
- Using this information in order to diversify your marketing and communication by taking into account customers location within your distribution network channels. 

 
  [Go back to Project's goal and value](article:1)