Ford, HP Use Coffee Shops, Big Data to Better Manage Fleets

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Ford Motor Company engineers have completed a real-world driving experiment with HP, discovering which commuting commonalities could provide future breakthroughs for better managing fleets, personalized services and recommendations for individual drivers.

Using HP’s Big Data Discovery Experience Services and the HP Haven big data platform, the engineering team gathered data and analyzed it to determine possibilities for lowering operating costs and optimizing underutilized vehicles for fleets as well as personal driving.

Among the observations of the experiment: regardless of location, most HP drivers grabbed coffee at the same national coffeehouse and refueled with the same brand of gasoline, while traveling employees often left vehicles unused at the airport for days.

While it’s no surprise road-tripping employees stop for coffee, data analysis about commutes and driving routines could lead to greater economies of scale for company fleets and new solutions for optimizing underutilized vehicles.

“The Fleet Insights experiment is one of the first steps to better understand and learn about how driving behaviour is changing,” said Marcy Klevorn, Ford vice president and chief information officer. “Fleets could see operating costs lowered through national buying contracts and improved utilization and maintenance, while individual drivers could receive coupons or create cooperative pools to share unused vehicles.”

“HP and Ford share a common vision around bringing together data, mobility, and analytics to explore new ways to deliver better customer experiences, new revenue streams, and lower fuel and maintenance costs in the automotive industry,” said Martin Risau, senior vice president, Analytics & Data Management Practice, HP Enterprise Services. “The results of this experiment can help unleash improvements for business operations for fleet management and personal driving experiences.”

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