This conversation explores the optimization of aftermarket service delivery through Product Information Management (PIM) systems. The speakers, Mattias Löfstrand and Ruud De Bruijckere, discuss the evolution of aftermarket services, the unique requirements of aftermarket PIM, and the importance of data quality and integration. We emphasize the need for a user-friendly frontend and robust backend systems to ensure accurate spare part identification and effective service delivery. The discussion also touches on the role of AI in enhancing data quality and the significance of understanding customer needs in the aftermarket space.
If you missed the live session, you can watch the full recording here:
🎤At the microphone:
Stephan Spijkers – Co-Founder, PIMvendors.com
Mattias Löfstrand – CEO, Signifikant
Ruud de Bruijckere – Vice-CEO, Signifikant
🔍 Key insights from the discussion:
Why aftermarket needs its own PIM
Generic PIM systems don’t meet the needs of service teams. A dedicated aftermarket PIM ensures real-time access to accurate parts and service data — for both OEMs and end users.
Customer experience starts with good data
Faster response times and fewer service errors start with clean, consistent product data. Better data = fewer complaints.
A platform built for both sides
The demo of the Signifikant platform showed how OEMs and end users can seamlessly interact: from reporting machine issues to finding the right part in seconds.
Implementation is key
Adopting an aftermarket PIM isn’t plug-and-play. The speakers shared actionable tips on data preparation, onboarding, and scaling across regions or product lines.
Aftermarket is a growth driver
Done right, aftermarket isn’t just a support function — it’s a strategic advantage that drives long-term customer loyalty and revenue.
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