A solar electricity provider asked Masae to identify promising sales areas in two West-African countries.
They also wanted Masae to help their sales teams efficiently leverage this information on the field.
Masae processed methodically :
Masae collected data from various sources (socio-demographic surveys, satellite imagery, etc.) and built over 30 indicators at the km-squared level.
Using this data and the client’s customer databases, Masae built machine learning algorithms to predict sales potential
A user-friendly geospatial web-based tool with key statistics, interactive maps, actionable search tools and Excel export functionalities