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
Sustainability & Aftersales: Why Lifecycle Thinking Is Manufacturing’s Real Climate Lever
Sustainability in manufacturing is decided long after the product leaves the factory. This article explores why aftersales and service execution, and not production alone, determine lifecycle impact, Scope 3 emissions, and customer value. By extending asset life through repair-first strategies, organizations unlock sustainability, margin growth, and stronger customer experience at the same time.
The Fully Autonomous Service Organization: What AI-Led Aftersales Really Looks Like
Aftersales is entering a new phase, one where service decisions are made before customers notice problems. This article explores what a fully autonomous service organization could look like, how AI-led orchestration changes warranty, parts, and dispatch, and why the shift is as much about operating models as technology.
Field Service KPIs for Manufacturing & Automotive: Metrics That Actually Drive Performance
Field service organizations track dozens of KPIs, yet still struggle to improve uptime, customer trust, and service profitability. This article explains how manufacturing and automotive companies should design, structure, and govern field service KPIs as a connected system that drives decisions, manages trade-offs, and scales with service maturity.
Manufacturing & Automotive After-Sales Service: Strategy, KPIs & Digital Transformation
After-sales service is now a strategic growth lever for manufacturing and automotive organizations. This article presents an end-to-end view of after-sales service, covering operating models, KPIs, execution challenges, and the practical role of digital and AI, grounded in real-world service transformation experience.
KPI of the Month #3: Proactive Resolution Rate (PRR)
Proactive Resolution Rate (PRR) is an emerging KPI that measures how effectively manufacturing and automotive service organizations prevent failures before customer impact. As AI, predictive analytics, and condition monitoring scale, PRR connects proactive insights to real outcomes, shifting service excellence from fixing failures faster to preventing them altogether.
Case Study: Improving Field Service Uptime Through Cognitive Technician Self-Service
Dealer technicians often lose valuable time searching for information instead of fixing equipment. This case study shows how a material handling equipment manufacturer improved uptime by 15% by reducing cognitive load at the point of service, using a search-driven technician self-service approach rather than overengineering AI.
Why Most Service Transformation Programs Stall After Year 2
Most service transformation programs don’t fail, they quietly stall. Early momentum, strong leadership attention, and rapid implementation create the illusion of success. But as priorities shift, budgets tighten, and ownership blurs, outcomes plateau. This article explores why service transformations lose momentum after year two, and what leaders must do differently.
Service Leadership in the AI Age: From Cost Containment to Force Multiplication
In the AI age, service leadership is being redefined by a paradoxical mandate: lower costs, shrinking workforces, and rising customer expectations. Move beyond the hype of “predictive” service to master Data Orchestration and Force Multiplication. Discover the strategic framework to transform your service department from a cost center into a high-performance value engine.