High gas prices are putting pressure on small businesses across the United States, but new data from Ford Pro, the commercial vehicle division of Ford Motor Company, highlights that reducing unnecessary vehicle idling could save fleet operators thousands of dollars annually [1]. According to the U.S. Department of Energy, the average fleet vehicle idles between one and two hours per day, consuming up to two gallons of fuel daily per vehicle [1]. With the national average price for unleaded gas at $4.04 as of Sunday—up from $3.88 a month ago, according to AAA—these costs can quickly accumulate [1].
Matt Krukin, head of software and digital growth for Ford Pro, explained that idling can cost $8 per vehicle per day, and for a 20-vehicle fleet idling two hours daily, this translates to over $160 in wasted fuel each day [1]. Excessive idling is more prevalent in North America, where 29% of fleet vehicles idle unnecessarily, compared to 10% in Europe [1].
To address this, Ford Pro has launched an artificial intelligence (AI) assistant that enables fleet managers to monitor vehicle behavior in real time, identify inefficiencies, and coach drivers toward more fuel-efficient habits [1]. Customers using these tools have reported a 52% reduction in idling, a 25% drop in speeding, a 16% decrease in hard braking, and an 11% reduction in harsh acceleration [1]. The system also provides in-cab alerts and can limit acceleration to further encourage efficient driving [1].
While reducing idling is highlighted as one of the simplest ways to cut costs, Ford Pro's data-driven approach also targets other costly driving behaviors, aiming to improve both fuel efficiency and vehicle longevity for small business fleets [1].
CONCLUSION
Ford Pro's AI-powered fleet management tools are delivering measurable fuel savings for small businesses by reducing unnecessary idling and other inefficient driving behaviors. With gas prices on the rise, these solutions offer a timely and practical way for fleet operators to protect their margins and improve operational efficiency.