Industry: Automotive & Vehicles
With the brands Audi and Lamborghini, the Audi Group has long been one of the most successful automotive manufacturers in the premium and super sports car segments. Since 2012, the motorcycles of the Italian traditional brand Ducati have complemented the lineup. Audi produces vehicles at twelve locations and operates in more than 100 markets. In 2015, Audi delivered 2,024,881 cars.
With a new system for product data maintenance, Audi AG is embracing the latest technology in the accessory sector. The prodexa Cloud PIM with an installed Workflow Engine is currently the central hub for global product data. It supports internal workflows and also provides dealers and end customers with the right data at the right time, in the right place.
“Our philosophy ‘Vorsprung durch Technik’ (‘Advancement through Technology’) now also applies to product data management. With the PIM solution from prodexa, our data is quickly and clearly available for all application areas.”
Marin-Marcel Sandu, Project Manager at Audi AG
The processing time in the product data capture phase has been drastically reduced with the introduction of the specific role system. Data input and maintenance are done with automated rule-based checks and data approval workflows. Even large amounts of product data information are reliably managed and passed on to SAP or other ERP systems, ensuring that the current information is always correct in these systems. Of course, the standard formats of the automotive industry, such as TecDoc, are supported. Furthermore, the usability of a product is automatically adjusted to new developments throughout its lifecycle.
To meet all requirements, the PIM system presents articles in detail in a clear tree structure. It also presents multiple assignments with compatibility information for spare parts from various vehicle models. The product images are checked, managed, and assigned in prodexa Cloud DAM (Digital Asset Manager) and linked to prodexa Cloud PIM. Verified data reduces incorrect orders. With consolidated data quality, the frequency of errors in further processing has been reduced. Order processes now have significantly fewer complaints and returns.
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