Case Studies

See how we've brought the best of modern data science to construction, real estate, logistics, and beyond — turning complex problems into decisions that move the needle.

Site selection and parcel analysis

Understanding Loss in Local Logistics

A regional logistics operator came to Projectr with a problem optimizing routes and service areas in the face of uneven demand and operational constraints. We integrated shipment data, transportation networks, and local geographic factors into a spatial analysis framework to identify inefficiencies and model alternative routing strategies. The result was a clearer understanding of where time and cost were being lost, enabling more efficient day-to-day operations.

Market expansion and vertical targeting

High-Density Real Estate Site Selection

A real estate developer came to Projectr with a problem selecting sites in a competitive market where traditional feasibility metrics failed to capture local variation. We conducted a geospatial site analysis combining zoning, infrastructure access, demographic trends, and development momentum to surface locations with the strongest long-term potential. The analysis provided a defensible, data-driven basis for prioritizing sites and reducing investment risk.

Risk and due diligence analytics

Geographic Fan Dynamics

A professional sports organization approached Projectr with a problem understanding where fans were coming from and how attendance patterns varied across the region. We analyzed ticketing data alongside mobility, demographic, and spatial context to map fan behavior and identify geographic drivers of engagement. The insights helped clarify where outreach, marketing, and fan experience investments would have the greatest impact.

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