The Future of Vehicle Service: 8 Trends for Networks

The automotive industry is changing faster than at any point in decades, and the service workshop sits right in the middle of that change. New powertrains, connected vehicles, shifting customer expectations and new ownership models are all reshaping how vehicles are maintained and repaired.

For an individual garage, these trends are an operational challenge. For OEMs, dealer groups, insurers and fleet operators, they are strategic: they decide who owns the customer relationship, where service revenue flows and which networks stay relevant. This article looks at eight trends shaping the future of vehicle service, the growing role of artificial intelligence, and what organisations running service networks can do to prepare.

Eight trends shaping vehicle service

1. Technology across the whole workshop

Diagnostic equipment and software are already standard in modern workshops. The next step is connecting everything else: digital job cards, estimates shared with customers for approval, parts ordering and invoicing in one system. Workshops that still run on paper will find it increasingly hard to meet the expectations of OEMs, insurers and customers.

2. The shift to electric vehicles

As electric vehicles (EVs) become more common, workshops need new tools, new safety procedures and technicians trained on high-voltage systems. EVs also change the service mix, with fewer routine items such as oil changes and more emphasis on tyres, brakes, software and battery health. Networks will need to plan which locations are equipped for EV work and how to route customers to them.

3. Service that comes to the customer

Busy customers increasingly expect convenience: pick-up and drop-off, doorstep service for simple jobs and mobile technicians for fleets. Supporting this requires scheduling and job tracking that work outside the four walls of the workshop.

4. Customer experience as the differentiator

As competition intensifies, the quality of the experience often matters as much as the quality of the repair. Timely updates, transparent estimates, easy approvals and a simple way to give feedback all influence whether a customer returns. For OEMs and dealer groups, a consistent experience across every location is part of the brand promise.

5. Data and analytics at network level

Every job generates data: what was done, which parts were used, how long it took and how the customer felt about it. Aggregated across a network, that data shows which branches perform best, which parts move fastest and where customers are drifting away. Organisations that analyse it systematically can improve efficiency, reduce costs and act before problems grow.

6. Digital-first customer journeys

Customers expect to book, approve, pay and communicate online. Online appointments, digital estimates, WhatsApp and SMS updates and online payments are becoming baseline expectations rather than extras. A branded consumer app can keep the relationship with the network rather than with whoever answers the phone.

7. New ownership models

Leasing, subscriptions and shared mobility mean a growing share of vehicles are owned or managed by fleets rather than individuals. Fleet operators care about uptime, predictable costs and clear reporting across many vehicles and service locations, which changes how workshops quote, schedule and report.

8. Sustainability

Environmental expectations from regulators and customers are rising. Workshops will need to manage waste oils, fluids, batteries and parts responsibly, reduce paper and show that their practices are sustainable. Network operators may increasingly set standards for this across their partners.

The role of artificial intelligence

Artificial intelligence (AI) is expected to influence vehicle service in several ways:

Assisted diagnostics. AI-supported tools can help technicians narrow down faults faster and recommend likely repairs, reducing guesswork and comebacks.
Predictive maintenance. By analysing service history and vehicle data, AI can help predict when maintenance will be needed, so workshops and fleets can act before a breakdown.
Customer service. Virtual assistants can handle routine questions and bookings, freeing service advisors for conversations that need a person.
Parts and supply chain. Forecasting demand for parts helps reduce both stock-outs and excess inventory across a network.

The value of AI depends on the quality of the underlying data. Networks that already capture clean, structured service records across all their locations will be best placed to benefit.

What this means for OEMs, dealer groups, insurers and fleets

These trends point in the same direction: service is becoming more digital, more data-driven and more connected. For organisations that run or depend on service networks, a few priorities stand out.

Standardise operations on a common platform, so every location captures the same data in the same way.
Get visibility at head-office level, with reporting across branches, partners and regions.
Own the customer relationship through consistent reminders, updates and a branded digital experience.
Prepare for EVs and fleets by planning capabilities and reporting across the network, not location by location.
Build a clean data foundation now, so analytics and AI can deliver value later.

How GetAFix helps networks prepare

GetAFix is a cloud dealer-management and workshop-management platform used by OEM networks, dealer groups, insurers and fleets in more than 18 countries, with over 25,000 users. It brings job cards, estimates, invoicing with GST/VAT and e-invoicing, inventory and parts, and insurance claim workflows into one system, with multi-branch head-office reporting on top.

For customer experience, it supports automated service reminders, WhatsApp and SMS notifications, feedback and loyalty, and a white-label consumer app. For fleet operators, our fleet management product brings service across vehicles and locations into one view.

To discuss how your network can prepare for the next decade of vehicle service, get in touch with our team.