Case Study: CARTO improves site selection revenue predictions with Unacast

A Unacast Case Study

Preview of the CARTO Case Study

CARTO predicts $6,128 weekly sales with Unacast

CARTO, a leading location intelligence platform, faced the challenge of helping a food truck business determine optimal locations for maximum revenue. They needed to build precise prediction models using multiple data streams and partnered with Unacast for its location data services.

Unacast provided real-time foot traffic data which CARTO layered with other sources to create highly accurate revenue models. As a result, CARTO identified the six most profitable sites in New York City for their client, with predicted weekly sales averages ranging from $5,193 to $6,128 per location.


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