Field Service Strategy and Transformation

field service transformation

Modernizing field service for scale, efficiency, and resilience

This hub examines how field service organizations evolve their operating models, processes, and ways of working to meet rising customer expectations and workforce constraints. It covers practical transformation topics, from workforce enablement and process redesign to digital adoption through the lens of what actually works in complex, global service environments. The insights reflect hands-on experience with transformation programs where progress is measured by adoption and outcomes, not just system go-lives.

Core Field Service Insights

Product lifecycle sustainability showing how aftersales and service extend asset life and reduce Scope 3 emissions

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.
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Service and after-sales transformation momentum fading over time in manufacturing organizations

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.
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2025 aftersales & field service review

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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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.

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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Featured Articles

Handpicked insights on the biggest shifts shaping after-sales and field service

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