Increase Aftermarket Sales and Service Revenue

By Rajvi Vaidya

New product sales are slowing. Markets are evolving. Customer expectations are rising. In response, manufacturers are shifting their focus from one-time product sales to ongoing service experiences. It’s a move toward servitization and it’s quickly becoming essential for staying competitive and profitable.

But transitioning to a service-centric business model isn’t always straightforward. Many organizations struggle with disconnected systems, fragmented data, and outdated processes that create barriers to service efficiencies and aftermarket business success. That’s where a comprehensive digital strategy, supported by Teamcenter Service Lifecycle Management solutions, can help.

Why SLM is the new growth engine

When products leave the factory floor, their journey is only just beginning. Service has become a critical opportunity to extend the value of that product for both the manufacturer and the customer.

A strong service strategy helps you,

✅ Increase aftermarket sales

Aftermarket services maintenance, spare parts, upgrades represent a steady and often high-margin revenue stream. With better visibility into product usage and condition, you can offer personalized service plans and timely replacements, capturing revenue long after the initial sale.

✅ Boost customer satisfaction and loyalty

Reliable service builds trust. When customers know they can count on you for fast, accurate fixes, they’re more likely to stay loyal and recommend your brand to others.

✅ Extend product lifespan

Regular maintenance and timely upgrades keep equipment running longer and more efficiently. This reduces waste, boosts sustainability, and increases the lifetime value of each product.

✅ Maintain revenue in shifting markets

As demand for new products slows or becomes unpredictable, service provides a dependable revenue stream. It helps stabilize your business and supports long-term resilience.

✅ Improve next generation products

Feedback loops between service and product engineering help ensure continuous product improvement and enhance design for service initiatives.

What’s holding you back?

Despite the benefits, servitization can be hard to implement. Common roadblocks include:

Data silos: Service, engineering, and manufacturing teams all work with different tools and datasets, leading to miscommunication and inefficiencies.
Lack of visibility: Without insight into the exact state of an asset—its configuration, condition, location, or history—service teams are left to guess.
Manual processes: Outdated systems limit the ability to scale or personalize service offerings.

To overcome the challenges discover the power of SLM and how its capabilities can save time, expedite fixes, and deliver service accurately the first time-over.

A smarter way: Teamcenter SLM + the Comprehensive Digital Twin

Imagine if every team engineering, manufacturing, service, and support could access the same real-time data about every product in the field. That’s the power of Teamcenter SLM solutions and the comprehensive digital twin.

Together, they connect data, people, and processes across the entire product and service lifecycle.

Here’s how it transforms your Business:

1. As-Built to As-Maintained visibility

The digital twin includes not just the design (engineering BOM), but the specific, real-world configuration of each asset as-built and continuously updated as-maintained. After each service event, the twin reflects what parts were replaced, modified, or updated.

Why it matters: Your service teams know exactly what’s in front of them, reducing errors, shortening response times, and improving first-time fix rates.

2. Streamlined service planning

By integrating product and service data, teams can create detailed, accurate service plans based on service requirements and actual configurations. This ensures that spare parts, tools, and technicians are properly prepared before the job begins.

Why it matters: Less downtime, faster repairs, and a more efficient workforce.

3. Interactive, accurate service documentation

Use 3D visuals, AR-guided workflows, and interactive manuals to onboard technicians quickly and help them perform complex tasks with confidence.

Why it matters: Better training, faster execution, and fewer service mistakes.

4. Closed-loop feedback to engineering

Service data isn’t just useful in the field—it’s invaluable for engineering. Field issues can be traced back to design flaws, and that feedback can directly inform future product improvements.

Why it matters: You’re not just fixing machines you’re building better ones.

5. Embedded artificial intelligence (AI)

AI automates and streamlines service plan creation and enhances the customer experience.

Why it matters: Ensuring optimized service planning and quality execution will lead to service excellence, increasing asset monetization opportunities.

6. Predictive and condition-based maintenance

With IIoT integration, real-time data from machines in the field can be analyzed using AI to anticipate failures before they happen. Service schedules are based on actual usage, not guesses.

Why it matters: Move from reactive to proactive service, reduce unplanned downtime, and optimize asset utilization.

7. Diversified revenue models

With the right infrastructure, you can offer subscription-based services, pay per-use models, or guaranteed uptime contracts all enabled by real-time data and digital transparency.

Why it matters: New business models open new revenue streams and build stronger customer relationships.