{
  "id": 5086505,
  "title": "Motive targets fleet repair costs with AI maintenance",
  "url": "https://urgent.news/2026/09/02/motive-targets-fleet-repair-costs-with-ai-maintenance",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-02T12:00:00.000Z",
  "source": {
    "name": "FreightWaves",
    "slug": "freightwaves",
    "url": "https://www.freightwaves.com/news/fleet-repair-costs-ai-maintenance"
  },
  "original_language": "en",
  "account": "Two key records exist for fleets managing their own repair shops: the data reported by the trucks on the road and the notes written by technicians in the bay. An ongoing problem is that these records often don't align. Motive introduced its latest product, Motive Maintenance, to address this issue. The AI-powered system aggregates fault codes, inspection defects, work orders, and repair expenses into a single platform that already contains telematics and fuel card data for customers.\n\nTightening carrier costs are driving the development of Motive Maintenance. In 2025, carriers' average marginal cost per mile reached $2.336, the highest ever reported. Maintenance and repair costs grew by 8.6% year-over-year, an additional 2 cents per mile, and have increased by 45% since 2019. Fuel costs, the primary concern for carriers, rose 13.2% last year. Parts costs increased by 3.7% in the fourth quarter of 2025, while labor costs dropped 0.4%.\n\nIn 2024, Motive reported that the average annual repair and maintenance bill for a heavy-duty truck in the U.S. was $16,192. The report emphasizes the need to close the gap between reported and documented records to reduce fleet repair costs. Motive's latest research, conducted with FreightWaves Research, found that rising maintenance and repair costs were the leading operational challenge for 80% of respondents, followed by driver recruitment and retention and fuel cost management. Only 13% of fleets reported their technology systems were well-integrated and automatically shared data.\n\nThe report highlights the significant financial impact of unplanned downtime, with reactive repairs costing three to nine times more than preventive maintenance. For a 1,000-truck fleet, this could result in nearly $4 million spent on downtime daily. The current gap in fleet repair costs lies in the disconnect between planned and emergency work. When a fault code is triggered, the information is often siloed in different systems, making it difficult for maintenance shops to prioritize repairs. Motive's AI system bridges this gap by converting fault codes into clear, actionable work orders. Additionally, the Motive Card captures both fuel and maintenance data, providing a comprehensive view of fleet costs. Despite the clear need for integration, only 20% of fleets have adopted AI-driven predictive maintenance, indicating that manual processes and a lack of expertise are still the primary barriers to improving fleet health.",
  "summary": "Motive is pushing into maintenance software as non-fuel operating costs hit record highs and only 13% of fleets say their systems share data automatically. The post Motive targets fleet repair costs with AI maintenance appeared first on FreightWaves .",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}