Optimal Location Selection

Client is an Electric Vehicle Charging Station company

Problem

• Location selection is a complicated problem that will ultimately affect the success of the business
• The infinite variables challenge decision makers to decide even where to start
• Non-analytical approaches are prone to bias and risk revenue loss if a suboptimal location is selected

Action

• Developed a decision support system for feasibility analysis of the potential locations which produces a potential value score for each candidate location.
• Value scores are used to find out the optimal locations which maximizes the coverage of the stations
• Built a user interface visualizing the sensitivity analysis for stakeholders to make clear and confident data driven business decisions

Tool Stack

• Python (including a map visualization library developed by Uber)

50

+

External data sources

10

K+

Locations Evaluated

5

Sec

Incredibly Fast Model