Field Service & Aftersales Insights

Perspectives on Service Growth, AI in Aftersales, Operation and Technology
This page brings together perspectives on field service, aftersales operations, and emerging technology in manufacturing and automotive service, grounded in real implementation experience.
The articles here explore what is changing, what is working, and where execution often breaks down. Topics range from KPIs and AI adoption to dealer operations, warranty management, and the day-to-day decisions that determine whether a transformation program succeeds or stalls.
Pick a topic below to explore further or browse the latest insights.
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Latest Insights
Why Service Revenue Remains Untapped (Even When Everyone Has a Strategy)
Service revenue remains one of manufacturing’s biggest untapped opportunities. Many leaders have the strategy, but execution falters due to data gaps, weak change management, and unclear ownership. This article explores why most initiatives stall, what successful manufacturers do differently, and how to turn after-sales and service into real, scalable growth
AI Won’t Replace Customer Service: It Will Redefine It
AI, GenAI, and agenticAI are often hyped as replacements for customer service, but in reality – especially in after-sales and field service for manufacturing and automotive industries – they are enablers, not substitutes. These technologies cannot replace the human expertise, accountability, and customer trust required in complex, high-stakes service environments. The future of service transformation…
The Next Frontier of Service KPIs: Outcome, Experience, Capability
Service organizations have long relied on efficiency metrics like FTF, MTTR, and Uptime, but these no longer capture what customers truly value. Expectations have evolved: today’s customers look for outcomes that deliver business impact, experiences that build lasting trust, and capabilities that ensure consistent, future-ready service. The next frontier of service KPIs reframes success across…
Solving the Right Pains: A Smarter Playbook for Service Leaders
Customers today expect Amazon-level convenience, Tesla-like innovation, and zero downtime from every product and service interaction. Yet, service leaders in manufacturing, automotive, and industrial organizations operate in a reality defined by budget limits, talent shortages, fragmented technology, and competing corporate priorities. The result is an inevitable expectation – reality gap: not every pain point can,…
The Service Organization of 2030: Powered by AI, Led by Customer Value
By 2030, service will no longer be about fixing what’s broken – it will be about delivering continuous outcomes. For manufacturers and service leaders, this marks a profound shift. Customers won’t just buy machines; they’ll buy uptime, sustainability, and results. And in a decade defined by AI, intelligent products, and connected ecosystems, service will become…
Why Uptime Is the KPI That Really Matters in Service
Most manufacturers still focus on KPIs like mean time to repair (MTTR), first-time fix rates (FTF), or service response times. While these are useful, they miss the bigger picture: what customers actually care about is whether their assets are running. Uptime, not internal efficiency, is the metric that defines value.
How AI Can (Actually) Help After-Sales Service – Beyond the Hype
Discover how AI is revolutionizing after-sales in industrial manufacturing – from complaint triage and technician scheduling to predictive maintenance and customer companion bots. This in-depth guide explores business challenges, real-world use cases, and measurable KPIs, helping manufacturers unlock efficiency, revenue, and customer satisfaction at scale.
A Practical Approach to Sizing Installed Base Revenue
Most installed base revenue estimates fall apart under scrutiny because they apply one calculation uniformly across genuinely different businesses. This piece walks through a real sizing correction, from an inflated first estimate to a credible one, and a practical method for sizing the opportunity in your own installed base.




