Mihir Joshi

Agentic AI decision orchestration across warranty, parts, dealers, CRM, FSM, and ERP in aftersales

Business Case for Agentic AI in Aftersales: Quantifying Incremental Value Beyond Copilots

Most AI investments in aftersales improved productivity but failed to deliver material ROI. This article explains how Agentic AI changes the equation by orchestrating decisions across warranty, parts, dealers, and enterprise systems, unlocking incremental value beyond copilots in aftersales operations.

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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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Fully Autonomous After sales Service Ecosystem

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.

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Field service KPIs showing how operational service data flows from technicians and assets into strategic business decisions in manufacturing and automotive organizations

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.

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Manufacturing and automotive after-sales service ecosystem covering planning, execution, contracts, partners, and digital enablement

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.

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Proactive Resolution Rate (PRR) KPI showing proactive issue resolution in manufacturing and automotive after-sales service

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.

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Cognitive self-service replaces manual searches and fragmented systems, reducing MTTR and improving first-time fix rates in field service operations.

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.

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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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