Streamline Component Sourcing and Standardization, from Designers to Suppliers

NETVIBES OnePart artificial intelligence-driven applications help users classify company assets, identify master parts for reuse, and ensure Engineering selects the preferred part, while monitoring over time the execution of company policy. Even more, Sourcing and Procurement professionals leverage these applications to optimize orders by finding the right supplier, grouping components or selecting the right technically viable alternatives. Decrease risks by enforcing company standards and introducing more flexibility into the supply chain.

OnePart for Standardization

Helps Businesses to Simplify, Organize and Optimize Parts

Thanks to machine learning, it has never been easier to identify similar parts and compare technical information, helping complexity managers classify and identify the standard part to be reused by the design office. 

From the entire legacy of company assets, quality and method engineers are able to classify parts. Based on 3D shape similarity and/or semantic criteria, each part is associated with the closest one to form a cluster that will eventually be classified into a family and sub-family. Once all the parts in the family are classified, specific parts can be tagged as either the master, alternate, or obsolete. This categorization of part families and sub-families, as well as the associated tags, is massively propagated into OnePart to guide part selection by designers and engineers and can be easily imported into the PDM and ERP systems. 

It also prevents deviation and the proliferation of the same part references already optimized in the catalog. Receive a new part creation alert with a proposed classification or identification of existing similar parts to be reused.

Start Your Journey

We’ve got ideas about what components should cost, but we also know what our actuals are and we have all that information in one place. We know which parts we can reuse, but just as importantly, we know when our supply chain doesn’t have the appropriate capacity to do that. Just knowing that and being able to scenario-plan around it is absolutely transformational.

Head of Procurement
Vehicle Manufacturer

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