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Finding The Right Part Is As Easy As PIES

David Seewack

May 09, 2022

Finding The Right Part Is As Easy As PIES

You’ve placed your part order thrilled that you were able to find the part you need. You either picked it up or waited for it to be delivered. When it is finally in your hands — because supply chain issues are leading to longer delivery times — you eagerly open the box only to find that you somehow ordered the wrong part.

The problem could have been avoided if all manufacturers of heavy-duty truck parts adhered to heavy-duty product data standards. Those product standards exist thanks to work of HDDA, the heavy-duty community of the Auto Care Association.

The heavy-duty Product Information Exchange Standard (PIES) provide information on things like product attributes, dimensions, product descriptions, country of origin, pricing and more. It includes images, videos and other digital assets. According to Auto Care, PIES is used to communicate product information between heavy-duty aftermarket suppliers and its selling chain under one format. The Product Attribute database part of PIES gives customers an objective way to compare two different products.

The data standards are said to enable and facilitate e-commerce, which is becoming an increasingly popular way for truck parts distributors and fleets to acquire parts.

PIES allows suppliers to efficiently communicate information about their products and helps ensure that the customer get the right part, in the right place at the right time. When the standards went live in 2020 it included standardized descriptions of products that includes more than 9,000 components and 63,000 attributes covering 85% of the parts sold in the aftermarket.

Working continues to be done on the database to expand and improve it. It is the responsibility of the manufacturer to provide the information needed about their products and fleets should encourage their parts suppliers to participate in order to reduce the number of times a wrong part is ordered and to improve the efficiency of the parts supply chain.

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