Aftersales is rapidly emerging as the most critical profit and differentiation lever for commercial vehicle (CV) original equipment manufacturers (OEMs). As the industry transitions toward electric, connected, and autonomous vehicles, traditional aftersales models, built on periodic maintenance and reactive service are no longer enough to sustain growth or customer loyalty.

This POV explores how AI-driven digital interventions are reshaping aftersales across the commercial vehicle lifecycle. By applying predictive analytics in aftersales, OEMs can anticipate failures, improve vehicle uptime, and move beyond reactive support toward outcome-led service models. Combined with intelligent customer experiences, data-driven fleet insights, and EV-focused servitization strategies, aftersales evolve from cost-centric support to a recurring, high-margin lifecycle services.

Grounded in industry trends, real-world OEM examples, and LTM’s execution experience, the paper outlines how OEMs can think disruptively and reframe aftersales by:

• Improving vehicle uptime and reducing unplanned downtime
• Delivering personalized, omnichannel customer experiences
• Monetizing connected data and lifecycle services
• Accelerating EV adoption through flexible XaaS models

As recurring services are expected to contribute nearly two-thirds of OEM profits by 2030, digital transformation in aftersales is no longer optional, it is foundational. Download this POV to see how business creativity, combining human insight with intelligent systems, enables OEMs to own outcomes, unlock lifecycle value, and Outcreate in the next era of commercial mobility.