Mihir Joshi

Case study of a global data center equipment manufacturer improving service revenue and asset visibility through digital transformation, revealing lessons about user alignment, technology choices, and ecosystem complexity

Lessons from a Data Center Manufacturer’s Digital Transformation

A global data center equipment manufacturer set out to boost service revenue and asset visibility through digital transformation. Along the way, they uncovered lessons about user alignment, technology choices, and ecosystem realities. This real-world case study explores how assumptions evolved into insights – and how the organization turned complexity into clarity, building a stronger foundation for customer and partner engagement in manufacturing digital transformation.

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ServiceNow Field Service Management platform overview highlighting its enterprise capabilities, workflow automation strengths, and steep learning curve for service organizations.

ServiceNow Field Service Management: Enterprise Power, but with a Learning Curve

ServiceNow Field Service Management extends the Now Platform’s workflow power to field operations. It delivers intuitive mobile experiences, strong integration with IT and customer service, and easy configuration for technical users. However, the desktop UX can feel cluttered, pricing structures are complex, and navigation takes time to master. Best suited for IT-mature enterprises seeking to unify digital and field operations, it’s a powerful but demanding platform for connected service delivery.

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Case study showing how an HVAC manufacturer transformed its field service strategy during COVID-19 to deliver safe return-to-office air-quality solutions through digital workflows.

How an HVAC Manufacturer Transformed Its Field Service Strategy to Help Businesses Return to Office Safely

When the pandemic disrupted global business operations, one HVAC manufacturer turned uncertainty into opportunity. Instead of pausing its digital transformation, the company reimagined its field service strategy – creating a digital platform that enabled clients, technicians, and dispatchers to collaborate on solutions for a safe return to office. Here’s how agility and customer focus reshaped their service business.

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Illustration of a field service KPI framework showing customer-focused metrics, operational KPIs, and strategic business outcomes, representing how service organizations measure performance across maturity levels.

Field Service KPI Framework: From Basics to Strategic Impact

This article introduces a structured KPI framework for field service, balancing customer, operational, and strategic measures. It explores a maturity model from foundational to advanced KPIs, helping organizations focus on the right metrics at the right stage. With guidance on avoiding KPI overload and aligning measures to business goals, the article positions service KPIs as a driver of customer value and sustainable growth.

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Customer support failures caused by bots, scripted responses, and lack of human empowerment, highlighting the need for GenAI and agentic AI to improve real-world customer experiences.

Customer Support Is Broken: Why Bots and Scripts Are Letting Us Down

Customer support is increasingly frustrating – bots don’t understand complex problems, human contact is hidden, and agents often stick to rigid scripts without real authority. This blog shares a personal experience with delayed medicine delivery, contrasts it with Amazon India’s empowered model, and explores how GenAI customer support and Agentic AI can improve customer care by empowering agents and creating outcome-driven, human-centered experiences.

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ServiceMax Asset 360 review showing how the Salesforce-based platform improves asset visibility, contract management, warranty tracking, and service revenue growth, along with its integration and customization challenges.

ServiceMax Asset 360 Review: A Strong Foundation for Asset-Centric Service, But Not Plug-and-Play

ServiceMax Asset 360, built on Salesforce, helps manufacturers gain visibility into assets, contracts, and warranties across the full lifecycle. This review explores how it enables revenue growth by standardizing asset tracking, defining serviceable markets, and running campaigns. We also highlight common challenges like integration with SAP/MDM, hierarchy limits, and customization needs. Learn where Asset 360 excels, where it falls short, and whether it’s the right fit for your service strategy.

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Lessons from global manufacturers on scaling field service operations, focusing on fixing process blind spots, avoiding tech-first traps, enabling technicians with AI, and building customer-outcome-driven service models.

What Global Manufacturers Can Teach Us About Scaling Field Service Operations

Scaling field service isn’t just about adding headcount or tools -it’s about building a discipline around customer outcomes. This article shares five lessons global manufacturers have learned the hard way: from fixing process blind spots and avoiding tech-first traps, to empowering technicians with AI self-help, navigating complexity, and scaling around customer outcomes. A practical, experience-driven guide for service leaders ready to grow smarter, not just bigger.

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Why service revenue remains untapped in manufacturing and after-sales, highlighting execution gaps such as organizational misalignment, fragmented systems, weak data foundations, and AI pilots that fail to scale.

Why Service Revenue Remains Untapped (Even When Everyone Has a Strategy)

Service revenue remains one of manufacturing’s biggest untapped opportunities. Many leaders have the strategy, but execution falters due to data gaps, weak change management, and unclear ownership. This article explores why most initiatives stall, what successful manufacturers do differently, and how to turn after-sales and service into real, scalable growth

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AI augmenting customer service in industrial and automotive after-sales, showing how technology enhances knowledge access and workflows without replacing human judgment and accountability.

AI Won’t Replace Customer Service: It Will Redefine It

AI, GenAI, and agenticAI are often hyped as replacements for customer service, but in reality – especially in after-sales and field service for manufacturing and automotive industries – they are enablers, not substitutes. These technologies cannot replace the human expertise, accountability, and customer trust required in complex, high-stakes service environments. The future of service transformation lies in augmentation: letting AI handle routine tasks while empowering people to focus on safety-critical decisions, relationship-building, and innovation.

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