Mihir Joshi

software service the new mandate in aftersales field service agenticai manufacturing

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.

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Software-defined vehicle with digital health, uptime, and performance indicators showing continuous value creation through OTA updates

The 2026 Service Blueprint: From Predictive AI to Agentic Operations

2026 marks the end of AI experimentation and the rise of Agentic Execution. As assets become software-defined and margins shift to uptime, service leaders must master Industrial FinOps and ‘teleporting expertise’ to protect Customer Lifetime Value. Discover the five pillars of the 2026 service blueprint.

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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 automotive.

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Mean Time to Repair (MTTR) KPI showing average time to restore assets in field service and manufacturing operations

KPI of the Month #2: 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.

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

Discover how agentic AI in after-sales and field service is closing execution gaps that traditional automation cannot fix. Learn how agentic systems orchestrate workflows across CRM, FSM, ERP, and service teams, improve technician productivity, enhance customer experience, and enable closed-loop feedback into product design.

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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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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 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 of the Month #1: 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, automotive, and industrial service organizations.

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