Insights

insights

Perspectives on Service, Technology, and Execution

This page brings together perspectives on after-sales, field service, digital transformation, and emerging technologies, drawn from real-world work with manufacturing and automotive organizations. The insights here explore what’s changing, what’s working, and where execution often breaks down, with links to deeper topic hubs for focused exploration.

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2025 aftersales & field service review
Field Service Strategy & Transformation

2025 Aftersales & Field Service Review: From Ambition to Operational Reality

2025 was a reality-check year for aftersales and field service. Demand stayed resilient, but workforce shortages, asset complexity, AI scaling limits, and regulatory pressure reshaped execution. Leading organizations shifted from experimentation to fundamentals, anchoring AI to KPIs, prioritizing productivity over headcount, and treating service as an end-to-end system under real economic constraints across manufacturing and…
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Mean Time to Repair (MTTR) KPI showing average time to restore assets in field service and manufacturing operations
KPI & Performance

KPI of the Month: Mean Time to Repair

Mean Time to Repair (MTTR) measures how quickly service organizations restore failed assets to operation. In manufacturing and automotive after-sales, MTTR reflects diagnostic readiness, parts availability, process discipline, and system integration. Used correctly, it highlights structural bottlenecks; used in isolation, it can drive superficial optimization and missed root causes.
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Agentic AI in manufacturing and automotive after-sales service, showing how AI agents coordinate CRM, ERP, FSM, IoT, warranty, and CPQ systems to close execution gaps that automation cannot solve.
AI & Emerging Tech

Agentic AI in After-Sales: The Missing Execution Layer That Automation Couldn’t Fix

Discover how agentic AI transforms after-sales and field service by closing the execution gaps that automation alone couldn’t. Learn how it orchestrates cross-system workflows, improves technician productivity, elevates customer touchpoints, and drives closed-loop feedback into product design. Packed with real business use cases, KPI impacts and insights, this article shows why forward-looking manufacturers must adopt…
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Predictive versus preventive maintenance in manufacturing, illustrating the shift from scheduled maintenance to data-driven, IoT-enabled prediction to improve uptime, reliability, and cost efficiency.
Field Service Strategy & Transformation

Predictive vs Preventive Maintenance: Key Differences Explained

Understand the real difference between predictive and preventive maintenance, and why it’s not just about technology. Learn how manufacturers can master preventive maintenance first, assess readiness, and layer predictive intelligence to drive service-led growth. Explore common pitfalls, readiness checklists, and practical guidance for bridging the gap from reactive repairs to proactive, data-driven reliability.
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Industrial and Automotive after-sales service contrast between genuine customer care and revenue-driven upselling, highlighting the growing gap between service and serving in the modern dealership experience.
Service Revenue & Business Growth

Service vs. Serving

As after-sales becomes a major profit driver, many OEMs are prioritizing revenue over relationships. This article explores how monetizing service, through inflated parts pricing, opaque terms, and sales-driven KPIs, is eroding customer trust and loyalty across the automotive sector. Learn how transparency, contextual upselling, and a Service-Led Growth mindset can rebuild relevance before disruption arrives.
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First Time Fix Rate in field service, illustrating how technicians resolving issues on the first visit improves cost, efficiency, and customer experience for manufacturing, automotive, and industrial service organizations.
KPI & Performance

KPI of the Month: First Time Fix Rate

The First Time Fix Rate (FTFR) is one of the most important field service KPIs, revealing how effectively technicians resolve issues on the first visit. This article explains what FTFR really measures, why it matters for cost, efficiency, and customer experience, and how people, process, and technology improvements can drive sustainable performance gains across manufacturing,…
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Generative AI hype cycle declining as enterprises confront data gaps, poor ROI, integration challenges, and shift toward realistic, measurable AI impact.
AI & Emerging Tech

GenAI Hype Is Over: Welcome to Reality

Generative AI hype is fading as organizations confront the reality of data gaps, weak ROI, and integration fatigue. Gartner’s 2025 Hype Cycle shows GenAI peaking while traditional AI quietly delivers results. Learn why mature enterprises are hitting pause, what’s driving this shift, and how to navigate the post-hype era with clarity, readiness, and measurable impact.
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Platform-of-platforms architecture for service organizations, showing how CRM, ERP, field service software, IoT platforms, and CPQ systems connect to unify data, workflows, and quote-to-cash processes.
AI & Emerging Tech,  Field Service Strategy & Transformation

Platform of Platforms: Why Individual Tools Are No Longer Enough

Discover how a “Platform of Platforms” approach transforms field service management. Learn why integrating planning, execution, quoting, and analytics under one connected architecture is key to service-led growth. Explore enablers, business benefits, and real-world use cases that show how unified platforms drive efficiency, revenue, and customer experience.
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