Case Study

Changing the paradigm for Ride-Sharing

Via is a pioneer in ride-sharing that uses granular localized weather forecasts to optimize their service and inform operational decisions based on real-time weather changes. They chose to partner with ClimaCell because of the accuracy and street-level focus of the data.
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Background

Via is re-engineering public transit, from a regulated system of rigid routes and schedules to a fully dynamic, on-demand network. Via’s mobile app connects multiple passengers who are headed the same way, allowing riders to seamlessly share a premium vehicle. First launched in New York City in September 2013, the Via platform currently operates in the United States and in Europe through its joint venture with Mercedes-Benz Vans, ViaVan. Via’s technology is also deployed worldwide through partner projects with public transportation agencies and private transit operators, seamlessly integrating with public transit infrastructure to provide the most cutting edge on-demand mobility innovation. For more information, visit www.ridewithvia.com.

The Challenge

The team at Via knows that weather has a huge effect on demand for ride-sharing, so it’s important they monitor these conditions to deliver a top notch customer experience. Via’s sophisticated ride-matching algorithm dynamically routes vehicles in real time to avoid traffic and delays, which are often compounded by inclement weather, so having an accurate by-the-minute handle on weather conditions is critical.

The Solution

Via is relying on ClimaCell’s HyperCast and granular localized weather forecasts to optimize their service and inform operational decisionsbased on real-time weather changes.

“ClimaCell forecasts provide accurate, actionable insight in real time. We’ve been very impressed with ClimaCell’s products, which help inform our operational decisions and offer quality service to our users.”
Ari Luks, Operations Via