business artificial intelligence
Published on : Sep 30, 2025
Syncron, a global leader in Service Lifecycle Management (SLM) solutions, has announced a Value-Added Reseller (VAR) Partner Program aimed at expanding its footprint in the aftermarket service sector. The initiative is designed to give mid-sized OEMs and distributors access to Syncron’s AI-powered solutions, historically geared toward enterprise clients.
The program rolls out immediately in North America and EMEA, complementing Syncron’s existing Partner Network. By leveraging VARs, Syncron enables tailored implementations of its aftermarket solutions, allowing businesses to adopt digital transformation at their own pace.
The VAR program addresses a critical gap: mid-sized manufacturers often lack the resources to deploy sophisticated SLM tools that improve parts availability, service efficiency, and customer loyalty. With the new partner-led approach, these organizations can now access scalable, AI-powered solutions designed to optimize aftermarket operations and generate repeatable revenue streams.
“While manufacturers and service organizations contend with increasingly unpredictable supply chains and macroeconomic factors, our solutions enable mid-sized businesses to transform their aftermarket operations into a source of reliable, repeatable revenue and customer loyalty,” said Rob Joseph, VP of the Global Partner Organization at Syncron.
Claire Rychlewski, Syncron’s Chief Revenue Officer, emphasized the program’s focus on flexibility and customer success. “We’re giving mid-market customers a faster, more flexible path to aftermarket excellence through partners who understand their unique needs,” she said.
The launch signals Syncron’s ongoing momentum in building a global partner ecosystem, reinforcing its leadership in aftermarket SLM solutions that scale across company size and digital maturity. By enabling VARs to deliver tailored solutions, the company is widening its addressable market while helping mid-sized organizations modernize service operations efficiently.
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