Case Study: CAA Club Group optimizes roadside assistance forecasting with Pecan

CAA Club Group reduces forecast generation time by 30% with Pecan

CAA Club Group, a Canadian automobile club serving 2.5 million members, faced a challenge with its time-consuming, manually created forecasts for roadside assistance call volumes. These forecasts did not cover the full scope of their operations and required a week of work to generate. They sought a faster, automated solution to optimize forecasting and staffing, leading them to partner with vendor Pecan and use its AI platform for demand forecasting.

Pecan implemented its automated predictive analytics platform to generate highly granular forecasts. The solution enabled the rapid creation and refinement of models predicting call volume by time, region, and service type. This resulted in a 30% reduction in time spent generating forecasts and allowed for optimal scheduling across 100% of the club's facilities without requiring additional data science resources, significantly improving member response times.

CAA Club Group