January 2026 - Sales DNA and a Service heart

Strategic Product Lifecycle Management: Bringing Innovation to Every Installed Asset

In fast-moving industries, product innovation often outpaces the installed base. While new products launch with advanced features, thousands of existing units in-the-field remain unchanged. As equipment ages and technology advances, organizations face mounting maintenance costs, quality issues, and compliance risks. Yet customers expect their investments to remain efficient, safe, and up to date for longer periods.

This widening gap between innovation and field usage makes strategic Product Lifecycle Management (PLM) essential. Innovating at the factory is no longer sufficient; companies must proactively extend improvements to their installed assets.

The Challenge: Keeping the Installed Base Current

Organizations typically encounter four main obstacles when managing products in the field:

Innovations Rarely Reach Existing Units. New engineering breakthroughs benefit new products, but these updates seldom reach assets already in use, causing a divide between potential and actual customer experience.
Modernizations Must Start from “As Maintained,” Not “As Built”. Service changes often rely on outdated “as built” records. In reality, assets have been serviced or modified, and lacking accurate “as maintained” data makes modernization risky and costly.
Quality Issues and Recalls Demand Full Installed Base Visibility. Companies need instant insight into the location, configuration, and ownership of affected units during recalls. Without this, recalls are slower and more expensive, risking brand damage.
Lifecycle Optimization Requires Real World Product Behavior. Engineering relies on intended performance, but real-world feedback is crucial to avoid repeating issues and stagnating designs.

Consequences include higher maintenance costs, safety incidents, dissatisfied customers, and shrinking margins.

The Solution: A Connected, Insight-Driven PLM Loop

Modern closed-loop PLM systems like ServiceMax close these gaps by providing complete visibility, robust field change management, and structured project execution for upgrades, recalls, and modernizations. Key capabilities include:

Full visibility into every installed asset
Orchestration of upgrades, recalls, and engineering change execution
Project management for lifecycle campaigns across multiple assets
Closed-loop integration with engineering PLM systems
Support for the full Problem → Investigation → ECR → ECN process

This unified approach connects data from engineering to field operations, ensuring innovation reaches both new and existing equipment.

The Impact: Higher Performance, Lower Cost, Safer Operation

With better data and connected workflows, organizations realize four key benefits:

Improved Product Lifetime Performance. Comparing real-world performance with design intent enables continuous improvement, proactive modernization, and extended asset life.
Deeper Product Understanding. Feedback between service and engineering leads to better designs, fewer recurring issues, and accelerated innovation cycles.
Strategically Informed Portfolio Management. Insights into service costs guide smarter investment, product phase-out, and redesign decisions.
Maximized Asset and Market Value. Strategic lifecycle management increases asset lifespan, protects investments, reduces obsolescence and warranty costs, improves specs, drives modernization revenue, and lowers ecological footprint.

The result is a resilient, customer-centric service and engineering ecosystem.

Key Lifecycle Strategies for MLUs, Retrofits, ECRs, and Recalls

Lifecycle excellence involves structured processes and upgrades. Four major strategies include:

Mid Life Upgrades (MLUs): Modernize systems halfway through service life, replacing obsolete components and refreshing capabilities at lower cost than buying new. Examples include digital cockpits and AI-enabled systems.
Retrofits: Add functionality to older systems for efficiency or regulatory compliance, often reducing emissions and costs. Aviation retrofits using used materials can cut CO₂ by up to 90% compared to new parts.
Engineering Change Requests (ECRs): Formal proposals capturing the rationale and assessment for design changes, preventing costly errors and preserving decision history.
Recalls: Remove or repair unsafe products, protecting public safety and brand reputation. Modern PLM systems help identify risks early, reducing recall frequency and cost.

Why Strategic Lifecycle Management Matters Now More Than Ever

Products remain in the field longer while technology evolves quickly and sustainability requirements intensify. Customers expect ongoing improvement, not stagnation. By enabling upgrades, retrofits, and engineering changes for all assets, organizations can deliver innovation well beyond the initial sale, extend equipment life, reduce environmental impact, improve safety and compliance, and unlock new revenue.Strategic lifecycle management ensures innovation continues throughout every asset’s life, not just at the factory.

Monetizing the Installed Base: The New Growth Engine Hiding in Plain Sight

For decades, product centric business models have dominated industrial markets. Manufacturers focused on delivering high quality equipment, asset owners focused on keeping it running, and service providers filled the gaps in between. But as margins tighten and hardware becomes more commoditized, one truth has become impossible to ignore:

Real, sustainable growth no longer comes from selling more products—it comes from monetizing the products already in the field.

Across industries, companies are discovering that their installed base is far more than a collection of assets. It’s a strategic advantage: a source of recurring revenue, a foundation for stronger customer relationships, and a catalyst for innovation. Yet for many organizations, much of this value remains untapped.

So, what does installed base monetization look like—and why does it matter now more than ever?

Why the Race for Aftermarket Value Is Accelerating

Different players are entering the aftermarket with different motivations:

OEMs want to offset declining product margins by expanding high margin service revenue.
Asset owners want predictability, transparency, and lower lifecycle costs.
Independent service organizations and channel partners want a share of the aftermarket pie.

The competitive pressure is rising—and whoever understands the installed base best will win.

This is exactly where companies struggle. Without knowing where assets are, how they perform, what they need, and how they’re being used, it’s nearly impossible to unlock the aftermarket opportunity. Traditional systems weren’t designed to manage assets beyond the point of sale. As a result, opportunities slip through the cracks: contracts aren’t renewed, parts aren’t replaced, entitlements aren’t enforced, and customers don’t get the proactive service experience they expect.

Turning Installed Base Data Into Business Value

A new generation of service platforms is changing this picture. A state-of-the-art service management tool like ServiceMax provides a true As-Maintained system-of-record, capturing real world asset information: from location and condition to usage, service history, and performance insights. When paired with PTC’s PLM capabilities, companies suddenly have a connected thread from product design to field execution.

The result? A shift in value creation:

From sell-and-forget to sell-and service
From reactive fixes to proactive optimization
From break/fix interventions to data-driven lifecycle engagement

This isn’t just an operational improvement—it’s a strategic transformation.

What Companies Gain When They Monetize Their Installed Base

Organizations that embrace installed base monetization see measurable impact across four key areas:

1. More Contract Revenue

Knowing which assets are unprotected or underserved allows service teams to identify upsell opportunities and expand contract coverage. This reduces revenue leakage and strengthens customer retention.

2. Increased Part Sales

With accurate asset and BOM data, technicians and customers can easily identify and order the right parts the first time—driving higher attachment rates and reducing downtime.

3. Reduced Entitlement Leakage

When entitlement information is accurate and instantly available, it eliminates unpaid work. No more “free rides” due to unclear service rights.

4. Higher NPS and CSAT

First time fix rates go up. SLA attainment improves. Transparency increases. Customers experience service the way it should be—predictable, proactive, outcome oriented.

Together, these outcomes drive what every service and transformation leader wants: sustainable aftermarket growth with higher margins and stronger loyalty.

Why Installed Base Monetization Is Becoming a Strategic Imperative

In today’s market, the installed base is emerging as a company’s most valuable asset. Monetizing it creates:

Predictable recurring revenue from services, consumables, and subscriptions
Higher profitability, since service margins often exceed product margins
Greater customer loyalty, driven by continuous value delivery
A competitive moat, built from unique asset and usage insights
Scalable growth, as value compounds with each asset deployed

And increasingly, data itself becomes a revenue stream. Performance analytics, benchmarking insights, and optimization recommendations unlock new premium offerings and help customers run their operations more efficiently.

Winning Strategies for Installed Base Monetization

Leaders in this space are using a combination of tactics:

Aftermarket Services: Maintenance, repairs, consumables, and field service contracts create stable revenue.
Upselling & Cross selling: Asset insights reveal which customers are ready for upgrades, premium features, or complementary products.
Data Monetization: Performance dashboards and optimization insights become high value services on their own.
Subscription Models: Software, analytics, and extended support packages turn episodic interactions into lasting relationships.

The organizations that master these levers are seeing transformations not just in revenue—but in customer engagement models, operational efficiency, and competitive position.

A Shift Toward Outcome Driven, Customer Centric Value

Installed base monetization isn’t about squeezing more money out of customers.

It’s about delivering value over the entire lifecycle of an asset.
It turns one-time transactions into long term partnerships.
It aligns OEMs and service providers with customer outcomes.
It creates a flywheel where data fuels better service, which fuels better products, which fuels deeper customer trust.

In a world where hardware is increasingly commoditized, the installed base becomes the foundation for durable growth.Companies that recognize this shift—and operationalize it with the right systems, data, and strategy—are unlocking new revenue, stronger relationships, and a more resilient business.

Efficient & Compliant Field Service Delivery: The New Engine of Customer Uptime and Business Growth

For many organizations, field service delivery has historically been viewed as a necessary cost center—an operational function focused on fixing issues as they arise. But today, as products grow more complex, customer expectations climb, and regulatory scrutiny intensifies, field service has transformed into a critical competitive differentiator. Companies that deliver fast, accurate, compliant service not only reduce operational costs but also drive higher customer loyalty, stronger margins, and predictable revenue.

Across asset intensive industries, one theme is becoming unmistakable: efficient and compliant field service delivery is no longer optional—it is essential for achieving customer uptime, maximizing equipment effectiveness, and fueling sustainable growth.

The Growing Challenge: Complexity, Expectations, and Constraints

Modern field service organizations face significant operational pressures:

Increasing Product Complexity: Longer equipment lifecycles and advanced technology require technicians to access reliable lifecycle data. Without it, troubleshooting slows and costs rise.

More Demanding Customers: Clients expect personalized, proactive, and transparent service aligned with their outcomes, not just quick fixes.

Aging Workforce & Knowledge Loss: Retiring technicians lead to shrinking capacity and loss of valuable expertise, which can hurt customer satisfaction and slow service.

Volatile Supply Chains: Unpredictable parts availability complicates the coordination of labor, materials, and subcontractors.

Increasing Regulation & Risk Aversion: Stricter compliance demands require more documentation and disciplined safety processes.

This high-pressure environment exposes the limits of traditional tools and manual processes.

Asset-Centric Field Service Execution

When customers anticipate reliable product performance, it is essential for service delivery organizations to evolve their models from merely addressing failures to proactively understanding effective operations. Implementing an asset-centric field service execution strategy is fundamental to facilitating this transformation.

State-of-the-art asset-centric field service execution platforms combine multiple axis of service delivery.

Asset: A comprehensive 360-degree installed base overview enables technicians and managers to achieve complete visibility of asset location, condition, usage, service history, and contract entitlements, ensuring tasks are executed correctly on the first attempt.
Customer: A 360-degree customer entitlement perspective clarifies the services purchased and distinguishes billable items. Service level agreements establish customer expectations and set standards for service delivery.
Resources: Context-aware workflow tools integrate labor, parts, tools, and subcontractor availability to support hybrid operational models, including break-fix, preventive, predictive, and remote service.
Design intention: Robust PLM and ERP integration ensures access to accurate bills of materials, maintenance guidelines, engineering changes, and configuration updates, aligning service activities with original design intent.

Compliant, Efficient, and Profitable Service Delivery

Field service organizations have traditionally been reactive and cost-driven. With rising challenges and better asset-centric platforms available, leaders now have the tools they need to reach their goals.

Compliant Service Delivery: Consistent service execution within design, regulatory, and safety boundaries reduces risk and strengthens brand integrity, especially in regulated sectors.
Efficient Service Delivery: Knowing asset locations and conditions enables better scheduling, preparation, and fewer errors, supporting a shift from reactive to predictive maintenance.
Profitable Service Delivery: Insights into asset performance and costs help identify high-value assets and problem equipment, optimize contracts, and reduce leakage.
Closed-Loop Design for Service: Comparing planned vs. actual asset performance provides actionable insights for future product designs, improving maintainability and lowering lifecycle costs.

Efficiency Gains at Scale

Modern field service management systems, powered by real-time data and AI, deliver measurable improvements:

20–30% increase in daily job completions
33% improvement in technician productivity
15–25% reduction in fuel and travel costs using AI route optimization
20–30% reduction in administrative burden through workflow automation
Up to 80% fewer breakdowns with predictive maintenance; early adopters see 30% less unplanned downtime

Such gains reduce the cost to serve and enhance the quality of customer-facing execution.

Compliance as a Strategic Advantage

In sectors like utilities, telecom, aerospace, medical, and energy, compliance is becoming a strategic asset:

Digital checklists reduce non-compliance risks and fines
Automated audit trails cut audit preparation by 60–80%
Safety controls lower incident and breach risk by up to 80%

Organizations that excel at compliance build trust, avoid costly penalties, and create safer service environments.

Better Service, Higher Satisfaction, Stronger Loyalty

Efficiency leads to superior customer outcomes:

10–25% improvement in first-time fix rates (FTFR)—a key predictor of satisfaction
30–50% reduction in no-show rates via proactive communication and technician tracking
Stronger upsell/cross-sell opportunities as technicians gain real-time insights into customer needs
Higher NPS and satisfaction through entitlement accuracy and precise execution

High-performing field teams don’t just solve issues—they become proactive advisors and trusted partners.

Field service is now a strategic lever driving growth, profitability, and competitive edge.

Centralized Product Repair Optimization: Turning Service Complexity into Strategic Advantage

As products become more complex and customer expectations climb, organizations are rethinking how they deliver service. While field service has long been the default repair model, on-site repairs are no longer practical or economically sustainable for many product categories. Increased design complexity, technician shortages, and greater demand for refurbishment and remanufacturing are accelerating a shift toward centralized depot repair—a more efficient, scalable alternative.

Depot repair is quickly becoming a strategic cornerstone for companies aiming for cost efficiency, quality, sustainability, and customer satisfaction. By consolidating repairs into controlled environments with skilled resources, businesses can deliver higher quality results, gain economies of scale, and reduce reliance on limited field technicians. This evolution reflects a broader industry trend: moving from reactive, break-fix models to proactive, resilient, data-driven service ecosystems.

Why On-Site Repair Is Under Pressure

Product Design and Complexity: Modern products, especially those with advanced electronics or modular assemblies, often cannot be effectively serviced in the field. Field technicians may lack the required specialized tools, controlled environments, or deep expertise, widening the gap between repair needs and field capabilities.

Diverse, Dispersed Installed Base: Organizations face a variety of products spread across numerous customer sites. Maintaining repair quality at scale can be expensive and inefficient, with field teams often lacking the right tools or parts on site.

Technician Shortages: With an aging workforce and talent scarcity, companies can’t indefinitely scale field operations. Meeting service demand increasingly requires alternative models that decouple growth from technician headcount.

Rising Refurbishment and Remanufacturing Demand: Supply chain volatility and sustainability goals are shifting attitudes toward product lifecycle management. Customers want refurbishment options, and organizations aim to reduce dependency on new parts. Depot repair aligns with these circular economy objectives.

These challenges demonstrate that a distributed, technician-centric model is not always the most cost-effective or reliable way to maintain product performance.

Depot repair, a viable alternative service delivery mode

Instead of dispatching a technician for a complex field repair, the product is shipped to a centralized depot. There, skilled technicians perform controlled disassembly, cleaning, diagnostics, parts replacement, recalibration, and final testing. The product is then packaged and returned to the customer—often performing better than before the failure. This reliable, predictable process improves uptime, reduces costs, and delivers higher quality outcomes.

A Comprehensive Depot Repair Platform

A modern service execution tool like ServiceMax offers a full suite of capabilities to optimize depot repair operations. This platform brings structure, transparency, and efficiency to every process step:

Front-Office Operations: From entitlement verification to RMA handling, customers experience a smooth, transparent start to their repair journey.
Capacity and Workload Management: Central teams can balance workloads and manage technician availability to keep repair centers efficient and bottleneck-free.
Inbound Logistics and Loaners: ServiceMax manages equipment flows to and from repair centers, including loaner equipment to minimize customer downtime.
Repair Triage and Quote Management: Structured evaluation determines repair needs and costs before work begins.
Shop Floor Execution: Controlled environments ensure high-quality repairs, accurate sequencing, and effective task execution.
Quality Assurance and Outbound Logistics: Final testing and packaging ensure products return to customers in peak condition.

This approach transforms depot repair from an ad hoc task into a scalable, high-value operational model.

The Impact: Efficiency, Quality, and Resilience

Resource Optimization: Centralized environments drive economies of scale. Specialized tools and expertise are concentrated, reducing overhead and safeguarding intellectual property.

Supply Chain Resilience: Companies can better manage part shortages and lead times by optimizing component inventories and leveraging repair data, reducing dependence on new parts.

Strategic Advantage: Centralized repair protects brand quality, especially through indirect sales channels, while providing asset owners with valuable service options and consistent outcomes.

The Value: Lower Costs, Higher Quality, Stronger Revenue

Cost Effectiveness: Centralized repair significantly lowers labor costs compared to field repairs. Consolidated tools and inventories reduce overhead and improve lifecycle cost management.

Increased Quality: Depot environments yield higher first-time fix rates, fewer repeat issues, and more reliable performance thanks to controlled conditions and specialized testing.

Increased Revenue: Depot repair is attractive to customers, especially when bundled with extended warranties, contracts, or refurbishment programs.

Sustainability: Repair and refurbishment extend product life, reduce waste, and support sustainability commitments while reducing environmental impact.

A Strategic Lever for the Future

As organizations navigate supply chain constraints and the demand for sustainable business models, depot repair is becoming a strategic capability. Centralizing repairs gives companies operational control, reduces field complexity, and builds resilience into service networks. In short, depot repair isn’t just a cost-saving measure—it’s an engine for higher quality, stronger customer loyalty, and sustainable growth.

The Value of an Asset Data Foundation for Service and Engineering

In today’s rapidly evolving industrial landscape, organisations face mounting pressure to deliver products to market faster, maintain high quality, mitigate costs amidst supply chain volatility, and comply with increasingly complex global regulations. These challenges are intensified by the need to compete in global markets and discover new sources of revenue.

Companies that design, manufacture, operate, and support physical products are seeking ways to maximise asset performance, reduce costs, and generate value in innovative way.

Asset Data Reality

Let’s imagine your company has three product lines designed at separate innovation centres and manufactured in plants across the US, Europe, and Asia. Products are sold both directly through national sales organisations and indirectly via importers, dealers, and resellers. Over a decade, you’ve pushed $5 billion worth of products into the market. And recently, the CEO announced an acquisition, adding a fourth product line with its own sales channel and a $1 billion installed base.

Service providers and asset owners now face the challenge of maintaining a total installed base of $6 billion while anticipating a generation of more complex and digital products. Despite various business applications, the core issue is fragmented product lifecycle data, varying in completeness leading to sub-optimal decision making.

Fragmented lifecycle data

Traditional systems such as ERP, MES, PLM, IoT, and field service management often face integration challenges, resulting in data inconsistencies, operational inefficiencies, and suboptimal decision making that negatively affect cash flow and EBIT.

While many organisations have implemented MDM and BI tools, these solutions frequently lack the necessary context and user accessibility for broad adoption, leading to slow and costly insight generation.

As a result, executives are often required to make decisions in volatile environments without dependable data, which can impede their ability to drive product innovation or deliver efficient and profitable services.

Impaired decision making

When considering our sample company—featuring four product lines, an installed base of $6 billion, and a product lifecycle spanning 10 years—the volume of data generated is both substantial and continually increasing.

“We are surrounded by data, but starved for insights”
— Jay Bear —

Examples of poor decision making caused by fragmented lifecycle data for executives:

Design: Lacking insights from previous versions hinders product improvement.
Sales: Unclear product performance makes it hard to assess portfolio relevance or identify top and underperforming products/customers.
Quality: Incomplete field data prevents verification of product performance and timely corrective actions.
Service: Inefficient maintenance results from missing As-Designed prescriptions and As-Built records.

A different approach to achieving an asset data foundation

When traditional ERP, MES, PLM, and FSM systems are too complex to integrate, and MDM or BI tools lack context, businesses can turn to a modern alternative: an AI-powered Asset Data Foundation managing the product lifecycle data holistically.

The AI-powered Asset Data Foundation establishes an integrated layer between various system-of-records for product lifecycle data and an application platform. This enables users across design, sales, quality, and maintenance functions to access comprehensive data, supporting informed operational, tactical, and strategic decision-making.

The Asset Data Foundation recognises the different forms data takes at its original sources, understands the context, and is equipped to clean and validate this data, creating a more reliable and enhanced source of truth.

To facilitate real-time insight extraction and support informed decision-making from comprehensive and unified datasets, maintaining optimal performance and responsiveness is essential. Consequently, data vectorisation is incorporated within the Asset Data Foundation layer to provide advanced data processing capabilities.

Business value for Engineering and Service

While several business functions within an enterprise can gain from an Asset Data Foundation throughout the product lifecycle, Engineering and Service are the primary contributors. Engineering is responsible for setting the product’s intent during its digital lifecycle, whereas Service oversees its real-world performance during the physical lifecycle.

Organizations frequently invest significant resources in the design and development of high-quality products, which are subsequently introduced to the market. In a sell-and-forget business model, establishing an asset data foundation may not be a priority. However, when shifting to a sell-and-service approach, a robust asset data foundation becomes essential.

In our example company, $6 billion in products are introduced through various go-to-market channels. Achieving complete visibility of asset location, condition, and usage via the asset data foundation would enable Service to reach world-class standards in installed base monetisation. Additionally, the asset data foundation would offer access to design intent details, supporting efficient and proactive service delivery.

At our sample company, four different product lines are developed across four separate locations and produced in three different regions. By leveraging asset data regarding visibility, condition, and usage from the same installed base, Engineering can more efficiently and effectively drive innovation for both new and existing products.

See also PTC blog: The power of a strong data foundation