Service Parts Management

Tap into data from smart, connected products to develop accurate part demand forecasts and establish a proactive, smarter service supply chain.

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What is Connected SPM?

Connected Service Parts Management provides visibility into your entire install base. Collecting and analyzing IoT data directly from connected assets, the solution:

  • Analyzes mileage, hours-in-operation, and other utilization data to forecast future asset activity.
  • Predicts equipment failure rates to forecast parts demand.
  • Adjusts stocking plans based on parts forecasts, service-level goals, budgetary restrictions, supply chain resources, and other parameters.


With the IoT, parts demand forecasts are no longer just guesstimates. They’re reliable indications of which parts you’ll need, in what quantity, and at which locations.

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Connected Service Parts Management

Servigistics + ThingWorx

Servigistics + ThingWorx = Connected SPM

Servigistics is the only service parts optimization solution that uses IoT data. Tapping into PTC’s industry-leading IoT platform, ThingWorx, our Connected Service Parts Management module:

  • Develops causal forecasts based on equipment population and utilization data.
  • Enables companies to accurately track and plan for life-limited parts removals.
  • Proactively adjusts inventory to reflect changes across the install base.
  • Enhances coordination between maintenance and materials planning
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The Definitive Guide to Connected Service Parts Management

Understand how Connected Service Parts Management works and how your organization can prepare for an IoT-driven service parts optimization program.

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Ready to Learn More?

Speak with one of our experts to learn how PTC’s Connected Service Parts Management solution can drastically improve your parts forecast accuracy.

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  • Built with Servigistics and ThingWorxBuilt with Servigistics and ThingWorx
  • Trusted by the U.S. Air Force, U.S. Coast Guard, and U.S. NavyTrusted by the U.S. Air Force, U.S. Coast Guard, and U.S. Navy
  • Backed by 30+ years of service parts domain expertiseBacked by 30+ years of service parts domain expertise