TOPMOTIVE Catalog Functions
Self-learning Vehicle File
Precise Parts Identification in NEXT
Selbstlernende Fahrzeugakte – Präzise Teileidentifikation in NEXT
The Self-learning Vehicle File (SLFA) is the central hub for precise parts identification in the TOPMOTIVE catalogue system NEXT. Vehicle attributes from VIN, DMS and diagnostic tools are automatically stored and applied with every search — for faster, more accurate results and significantly fewer returns.
Features of the Self-learning Vehicle File
Individual vehicle ID:
Every vehicle searched in NEXT is stored with a unique ID — supplemented by licence plate, first registration, mileage and VIN.Automatic attribute capture:
Equipment features are automatically read in from VIN queries, DMS interfaces and diagnostic tools, and stored in a structured format.DOM integration:
Connection to the Data Optimizer Module (DOM) ensures additional verification, cleansing and standardisation of all vehicle attributes.Quickfilter:
With a single click, already-learned equipment features are applied to the selected vehicle — without searching the catalogue again.Cross-device and cross-session:
Once learned, vehicle data is available on every device and at any time.
Benefits of the Self-learning Vehicle File
Significant time savings
Automatically applied vehicle attributes eliminate manual entries and accelerate the entire search process.
Fewer incorrect orders and returns
Precise, vehicle-level filtered selection options significantly reduce incorrect orders and the associated returns effort.
Higher data quality
DOM integration ensures continuous cleansing and standardisation — for reliable results with every search.
Faster article comparison
Articles can be compared directly based on precise vehicle data — without detours.