Case Study: CARTO boosts food truck revenue forecasting with Unacast location data

CARTO - Customer Case Study

CARTO, a leading location intelligence platform, needed to help a local food truck business decide where to place its trucks to maximize revenue. To build more precise revenue prediction and site selection models, CARTO needed to combine multiple data sources, including location activity signals.

Unacast provided real-time, contextualized location data that CARTO layered with census data, purchase data, and other inputs to improve the accuracy of its models. With Unacast’s data, CARTO identified the 6 New York City sites most likely to generate the highest revenues, including Corona Park, Penn Station, and SoHo, with predicted weekly sales ranging from $5,193 to $6,128.

CARTO

Alejandra Aranzadi

Data Partnerships ManagerData