TecDoc Reference Data
The backbone of vehicle identification
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TecDoc Reference Data provides the standardised framework used to structure, classify, and identify automotive aftermarket products and vehicles. It includes vehicle definitions, generic article categories, technical specifications, fitment criteria, and multilingual spare parts descriptions in 42 languages.
TecDoc Reference Data helps manufacturers, distributors, wholesalers, and e-commerce providers to improve data quality, simplify parts identification, and deliver reliable product information across catalogues, webshops, and digital platforms.
What you get
Consistent and structured product data is essential for accurate parts identification in the IAM. Differing product descriptions, classifications, and vehicle assignments can create inconsistencies that make data management and parts matching more difficult.
TecDoc Reference Data provides the standardised framework to structure and classify product information within the TecDoc ecosystem. It acts as a blueprint for suppliers, helping to ensure that product data is presented consistently, is easy to manage, and aligns with TecDoc standard and user expectations.
By using standardised categories, data structures, and vehicle linkages, manufacturers can improve data consistency, simplify product classification, and support accurate vehicle-to-part matching across the aftermarket.
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TecDoc Reference Data provides the standardised framework and core reference information used to structure, classify, and link aftermarket product data.
Comprehensive vehicle data: Access detailed vehicle information for passenger cars, light commercial vehicles, heavy commercial vehicles, and motorcycles. The information includes manufacturer, model series, engine, and axle data relevant to specific regions.
Standardised product classification: Classify products using TecDoc generic articles, attributes, and criteria to ensure consistent product descriptions for the entire aftermarket.
Vehicle linkage foundation: Connect products to the correct vehicle applications using standardised vehicle reference data. This supports accurate parts identification and fitment.
Additional information for parts distribution & logistics processes: Benefit from additional reference data that supports catalogue management, parts distribution, and aftermarket processes.
Consistent and searchable data: Use a harmonised data structure that improves data quality, searchability, and interoperability across systems and catalogues.
Comprehensive data
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TecDoc Reference Data provides the framework to classify and connect automotive aftermarket product information.
Prepare product information: Manufacturers organise vehicle and spare parts data using standardised TecDoc data fields, attributes, and formats.
Classify products: Products are assigned to the appropriate TecDoc generic article categories; this supports consistent categorisation and improves catalogue navigation.
Link products to vehicles: Parts are connected to compatible vehicle applications using standardised vehicle reference and fitment data.
Publish data across platforms: The structured data can be integrated into parts catalogues, e-commerce platforms, business systems, and vehicle identification applications.
This structured approach helps manufacturers to:
Improve product data quality
Simplify product classification and data management
Support accurate parts identification
Reduce inconsistencies among systems and catalogues
Build a consistent foundation for accurate and searchable aftermarket product data.
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By providing a common framework for the IAM, TecDoc Reference Data helps manufacturers to standardise product content, simplify data management, and support reliable parts identification throughout the TecDoc ecosystem.
Expected outcomes include:
More reliable and standardised product information
Improved accuracy of vehicle-to-part matching
Faster product onboarding and categorisation
Enhanced search and navigation across catalogues and systems
Reduced manual effort and maintenance complexity
Better alignment across markets, systems, and sales channels
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