TecAlliance TecDoc & Data Management Platform

The TecAlliance TecDoc & Data Management Platform is the de facto data standard of the European independent automotive aftermarket: a neutral, manufacturer-independent data model that standardizes article data, vehicle fitment and OE cross-references across 12.8 million items, more than 1,200 brands, over 260,000 vehicle types and more than 724 million vehicle-to-article linkages. Around that core sit TecDoc Reference Data (standardized vehicle definitions, generic articles, criteria and fitment descriptions in 42 languages), TecDoc VIO vehicles-in-operation parc data covering 75+ countries and more than 1 billion vehicles, TecDoc OE Parts Data analysed from official electronic parts catalogs, and portfolio analytics that benchmark up to 100 competitors.

If you run a parts catalog, a webshop, a workshop system or an assortment analysis for Europe, this is the vocabulary the trade already speaks - and Datadory hands it to you as a maintained feed. Get a sample of this dataset and we will return rows shaped exactly like the dictionary below, for the markets you name.

Two things surprise buyers who have only seen scraped catalogs: every article carries its fitment as structured linkage records, and every classification is shared vocabulary rather than one supplier's guess at a category name. The record shape looks like this:

# TecDoc article record -- shape preview; value slots fill in your sample
article_number          <supplier article number>
brand                   one of 1,200+ brands
generic_article         one of 360+ standardized classifications
criteria                <technical attribute values>
oe_reference            <OE cross-reference>
gtin                    <global trade item number>
superseding_article     <successor article number>
trade_number            <supplier trade number>
vehicle_linkage         one of 724M+ fitment links
vehicle_type            one of 260,000+ types

Slots marked <...> are populated per record once we cut your sample; every count shown is the platform's published scale, not a projection. The same shape holds whether the rows land as an API response, flat files, or a table in your warehouse.

Eight fields anchor the dictionary. Each definition below comes from the platform's own documentation of what its packages and responses carry; the example column shows where the field sits in the published scale.

Additional fields on request: localized article text in 42 languages, parts lists, accessories, graphics and other document assets, packaging details, and per-country / per-language selections. Deeper columns are confirmed against live records when we prepare your sample - which is also where column-level naming gets locked down for your pipeline.

Three chips summarize the footprint:

• Geography: a global ecosystem with European depth. VIO parc data covers 75+ countries; OE Parts Data is organized across 7 regions; supplier-contributed article data can be selected per country and per language.
• Time frame: a current-state catalog. Records describe the aftermarket as it stands, so demand sizing and catalog builds work off the live state; a historical archive of superseded states is not part of the standard.
• Granularity: article-level rows keyed on part number, joined to fitment at vehicle-type level across 260,000+ types. VIO parc aggregates to country x vehicle type, with 60+ attributes per vehicle record.

Set against the wider Datadory catalog - where the average quality score across all 1,744 datasets is 7.81 - this slice scores 8/10, carried by unusually disciplined field documentation and the sheer density of the linkage graph.

API, files, or your warehouse. Daily, weekly, or hourly.

You choose the channel and the cadence; the field dictionary above travels unchanged across all three. Structured record payloads suit event-driven catalog updates, bulk files suit overnight warehouse loads, and the VIO parc extracts arrive in spreadsheet-, CSV- and SQL-friendly shapes for analysts who live in a BI tool. Cadence changes are a settings conversation, not a re-integration project.

Ranked by how directly the platform answers their day job:

1. E-commerce operators. Fitment-correct catalogs built on TecDoc reduce wrong-part orders: the linkage graph ties every article to the vehicle types it serves before a customer reaches checkout.
2. Competitive intelligence & product teams. OE cross-references and brand coverage reveal which manufacturers are represented in the standard's ecosystem - and where a rival has no presence.
3. Market researchers & consultants. 12.8M items across 1,200+ brands, plus VIO parc for 75+ countries, quantify the European aftermarket's data backbone for sizing and entry studies.
4. Sales & growth teams. Which suppliers a European catalog can list is determined by TecDoc coverage - a concrete qualification question for any account conversation.
5. Data scientists. Article-level granularity joined to vehicle-type-level linkages is rare training material for recommendation and substitution models.
6. Developers & builders. One shared classification and fitment model beats reconciling six supplier taxonomies by hand.
7. Investors & quants. TecAlliance's role as the de facto European standard frames the data-infrastructure layer of aftermarket M&A.
8. Journalists & academics. Coverage claims and certification posture make it a citable reference point for reporting on aftermarket data standards.

For contrast inside the same industry: NHTSA's Vehicle Safety API owns US recall, complaint and rating records, and the RockAuto catalog exposes live retail listings - neither provides standardized European fitment at 724-million-linkage scale.

Notes that pair well with this page:

• Automotive parts & equipment data hub - the full pooled view of the industry, from federal statistics to catalog data.
• TecDoc vs BLS QCEW auto-dealer counts - catalog-side supply vocabulary against county-level establishment and wage counts.
• Persona pages - what competitive-intel, data-science and developer teams each do with this slice, industry by industry.