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Ashok Leyland’s AI and IoT-Powered Trucks Are Driving the Future of Smart Fleets in India

Imagine getting a message in real time telling you to shift gears — not from your co-driver, but from your vehicle’s AI system.

 

That’s exactly what’s happening across India’s highways today, thanks to Ashok Leyland’s tech-first transformation of its medium and heavy commercial vehicle (MHCV) fleet. The 75-year-old commercial vehicle giant has embraced AI, machine learning, IoT, and predictive analytics to build connected trucks that are smarter, safer, and more efficient — helping drivers, fleet operators, and service teams alike.

 

Data at the Core: 6 Million Data Points and Counting

 

Today, Ashok Leyland has over 170,000 connected MHCVs on Indian roads. These vehicles generate over 3.2 million data points every hour, translating into 40,000+ transactions per second.

 

This data is used to:

 

  • Advise drivers to shift gears or reduce clutch usage
  • Track driver behavior, vehicle health, and fuel efficiency
  • Enable predictive maintenance and remote diagnostics
  • Detect anomalies like harsh braking, fuel theft, or overspeeding

 

“Operational efficiency can go up by as much as 10% just from these interventions,” says Ganesh Mani S, Chief Operating Officer, Ashok Leyland.

 

Platforms Powering the Shift

 

Ashok Leyland’s tech stack includes:

 

  • iAlert: Started as a GPS tool, now tracks 110+ vehicle parameters
  • ION: A dedicated platform for electric vehicle data management
  • FOTA: Firmware Over-The-Air updates to push fixes and improvements remotely
  • MPAS: In-house IoT system connecting 1,000+ factory machines, collecting 650,000 data points/day

 

From fleet dashboards to driver incentive models, these platforms form a digital nervous system for the company.

 

Building a Data-First Culture

 

Ashok Leyland isn’t just using AI — it’s embedding it into its culture.

 

  • 100 shop-floor data scientists are being trained to solve real-world problems
  • Cobots and IoT sensors support smarter, traceable manufacturing
  • M-Alert ensures proactive maintenance across the ecosystem

 

Upcoming upgrades include:

 

  • Chatbot-based driver and fleet support
  • Prognostic alerts
  • End-to-end fleet digitalization

 

Why This Matters

For an industry often seen as traditional and fragmented, this transformation is massive. Ashok Leyland’s approach proves that legacy manufacturing can lead the future — if it blends engineering with real-time intelligence and systems thinking.

 

It’s not just about smarter trucks.
It’s about a smarter trucking ecosystem.






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