CAA Club Group (CCG)

CCG (CAA Club Group of Companies) revolutionized its roadside rescue services. The team implemented The Weather Company’s weather conditions API to help predict service volume demand and optimize resource allocation.

Lena Yam, Associate Vice President, Roadside Product and Innovation, leads a team who has sought to revolutionize CCG road service volume forecasting. By implementing machine-learning algorithms, their system anticipates where and when motorists will experience breakdowns. This allows roadside controllers to strategically position rescue vehicles before problems occur, which reduces response times when minutes matter.

Weather and road conditions play a crucial role in these predictions. For example, data shows a clear connection between the elements outside and roadside events. “Weather has a direct correlation to our road service events and requests,” explains Lena. “For example, when temperatures fluctuate significantly, we see predictable impacts on driving conditions, batteries and other events.”

Since CCG transitioned to a new dispatch system in 2017, the team developed a predictive analytics solution, Geo-Temporal Generation 2. The evolution led CCG to incorporate weather data from the world’s most accurate weather forecaster.¹ They specifically used a weather conditions API to help enhance roadside assistance predictions. As a result, detailed weather information has become instrumental in responding to members during their most urgent situations.

From forecast to fleet: Turning weather data into arrival readiness

At the heart of CCG’s innovative predictive application, Geo-Temporal Gen 2, lie advanced algorithms. These algorithms blend historical service patterns to anticipate roadside emergencies. They incorporate real-time traffic and construction data to predict where help will be needed. In addition, CCG roadside controllers recognized the need for the most accurate weather data source. They leveraged The Weather Company’s weather conditions API, which helped transform weather forecasts into actionable intelligence. This integration enhances service delivery during roadside assistance, improves member safety, and in turn, elevates the overall member experience.

“Our mission is to stay obsessed with member safety,” explains Lena. “Weather has proven to be one of our most valuable predictive indicators.” The system visualizes expected service calls through dynamic heat maps that evolve throughout the day. This proactively highlights areas where breakdowns are likely to occur based on weather conditions.

During summer heat waves, weather and road conditions go hand in hand. Battery failures spike in specific patterns, while winter brings different challenges — from cold-weather battery issues to accident-prone areas during snowfall. CCG’s models track vital weather variables like ambient temperature, wind speed, precipitation, humidity, as well as dew point. This helps anticipate conditions — like fog — that impact driving behavior, or temperature shifts that signal potential increases in rescue calls. Lena adds, “If we see minus-20 degrees celsius in the forecast, then it’s highly likely that our volumes are going to increase.”

Better decision making, safer roadsides

The Weather Company’s weather conditions API helps CCG transform forecasts into actionable intelligence, directly impacting member safety and service efficiency. With actual time of arrival (ATA) as the KPI at the center of everything, speed and safety are closely connected. Fortunately Lena’s team has experienced a 20-26% improvement in rescuer arrival wait times in select regions.⁴ In fact, they’ve become the top performing club in the AAA and CAA federation from a rolling 12 months perspective.⁵

These Gen 2 visualization features allow CCG to strategically position their fleet before calls even come in. The control tower teams interact directly with weather data — clicking weather icons to make informed deployment decisions as conditions evolve. “They can utilize everything from 15-minute forecasts to 5-day outlooks,” adds Lena.