Case Study

    Case Study

    Using Predictive Analytics to Promote Off-Grid Solar Connectivity In Kenya

    Sector | Energy and Utilities|Geography | Africa|Country | Kenya

    Using Predictive Analytics to Promote Off-Grid Solar Connectivity In Kenya

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    Source: Atlas AI

    Project Details

    Engie Energy Access aimed to accelerate the adoption of their off-grid solar appliances in the Kenyan market, aligning with SDG-7 to ensure access to affordable, reliable, sustainable, and modern energy. They partnered with Atlas AI to leverage high-resolution geospatial data and machine learning (ML) insights through the Aperture® platform. This collaboration was crucial for identifying and targeting potential customers in high-density areas with inconsistent grid access, who could afford Engie’s products and were likely to repay consistently. Engie utilized these insights to refine customer qualification and acquisition strategies, ensuring effective market penetration and growth.



    Solutions
    Product Used

    Value Propositions

    Return on Investment (RoI)
    Geo_icon
    GeographyAfrica

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    CountryKenya

    Project_owner
    Project Owner

    ENGIE Energy Access


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    Project/Technology Stakeholder

    AtlasAI; Google



    Technology Used
    Sector Focus
    SDGs
    Recognition/ Awards