Isochrones will be computed for each network location.
Once computed, the flow can look for the **inclusion of other key geo points within the computed isochrones**, including: 

- Other **distribution locations**: this information is stored in the dataset [locations_competition](dataset:locations_competition).
- **Customers surrounding locations** *(Optional)* : 
  - All customers included in the isochrones : this information is stored in the dataset [locations_customers](dataset:locations_customers) .
  - Count of the customers included in the isochrones, by isochrone types: this information is stored in the dataset [locations_customers_agg](dataset:locations_customers_agg).
  
  
This new computed data sources could enrich other analysis including:

 - joining POS characteristics with revenues
 - creating features for POS analysis or machine learning
 - identifying POS having common characteristics and launch several tests (e.g AB tests)
 
 

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