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Platform / Infrastructure

The engine behind every decision

We ingest, match, clean and model vehicle-market data, then turn it into products, APIs and custom views.

Explore the pipelineSee the scaleBuild on Carsdata

Built for world scale

4.8B+vehicle observations
1.1B+normalized listing events
38markets covered
420k+dealer / source entities
180M+VIN / identity records
1.2M+monthly compute hours
7.4T+model features / month
95M+quality checks / day
2.6PB+data footprint
dailyfreshness target

Illustrative platform-scale figures.

One decision-ready data layer

Online classifieds

  • Listing price
  • Dealer / source
  • Vehicle description & mileage
  • Equipment & photos
  • Publication / removal status
  • Portal activity when available

Dealer stock / DMS exports

  • Stock list
  • Internal identifiers
  • Price changes
  • Days in stock
  • Location / dealer mapping
  • Vehicle state

Vehicle identity & VIN

  • VIN decode
  • Make / model / generation
  • Engine / powertrain
  • Trim / equipment & technical attributes

Vehicle history

  • Odometer events
  • Damages
  • Inspection / service records
  • Encumbrance / risk checks

Classifieds performance

  • Active listing days
  • Portal presence
  • Leads = phone + form / email
  • Interactions = prints + favourites / parking
  • Views as support signal
  • NULL vs 0 semantics

Market events

  • Price changes
  • Listing lifecycle
  • Sold proxy / removal logic
  • Supply / demand movement
  • Residual / depreciation cohorts

From raw data to decisions

Sources
  • Online classifieds
  • Dealer stock / DMS
  • VIN & vehicle history
  • Market & portal events
01Ingestion
02Identity graph
03Normalization
04AI models
Products / APIs
  • Product dashboards
  • REST API & JSON
  • Reports & exports
  • Custom data products

Ingest

Carsdata collects listings, DMS exports, VIN records, vehicle history, portal performance and market events into a unified ingestion layer.

Identify

Vehicles are matched into a vehicle identity graph using VIN, dealer IDs, listing fingerprints, make/model/generation logic, mileage and equipment signals.

Normalize

The platform standardizes currencies, units, countries, age bands, fuel types, trims, body types, equipment and pricing fields.

Enrich

Carsdata adds comparable vehicles, price corridors, liquidity signals, residual cohorts, source/dealer metadata and feature intelligence.

Model

AI and statistical models estimate current market value, liquidity, residual value, listing quality, portal efficiency, stock risk and opportunity signals.

Validate

Quality checks detect duplicates, outliers, missing fields, impossible mileage changes, inconsistent pricing and low-sample-size segments.

Deliver

Outputs are delivered as product dashboards, API responses, CSV/HTML/PDF exports, executive reports and custom-built data products.

A vehicle graph, not a spreadsheet

Carsdata links the same vehicle across VIN records, listing events, stock exports, price changes, portal activity and history signals. This creates a longitudinal view of the car: what it is, where it appeared, how it was priced, how demand reacted and what risk signals exist.

Raw observations
mobile.de listingVW Golf 1.5 TSI62.400 km€18.900
Dealer DMS exportWVWZZZ1KZBstock #A-2231in stock 41d
VIN recordWVWZZZ1KZBW123456MY2023DE plant
AS24 classifiedGolf VIII 1,5 TSI62 tkm€19.250
Entity resolution
Resolved vehicle
VW Golf 1.5 TSI · MY2023WVWZZZ1KZBW123456
Match confidence
97%
Observations
14
Mileage
62,400 km
Retail value
€18,900

Deduplication

Collapses repeated and re-posted listings into a single vehicle.

Listing fingerprinting

Identifies the same ad across portals and over time from its signals.

VIN matching

Anchors market observations to a verified vehicle identity.

Comparable grouping

Builds cohorts of genuinely comparable vehicles for valuation.

Dealer / source entity resolution

Resolves dealers and sources into stable, deduplicated entities.

Longitudinal event history

Tracks each vehicle's price, listing and demand events over time.

AI you can audit

Vehicle matching AI

Resolves duplicated listings and links market observations into the identity graph.

Feature extraction

Reads structured and semi-structured listing text to normalize equipment, trim, body type and commercial attributes.

Pricing models

Estimate market value from comparable vehicles, market timing, equipment, mileage and country/region signals.

Liquidity models

Estimate speed-to-sell, sell-through probability and slow-mover risk.

Residual value models

Blend same-model evidence, comparable cohorts, segment fallback and scenario overlays into P10/P50/P90 forecasts.

Classifieds decision engine

Separates leads, interactions and views; evaluates portal economics and recommends vehicle-level exposure actions.

Alert intelligence

Detects anomalies, opportunity pockets, overpricing, supply pressure, portfolio gaps and data quality issues.

Executive narrative AI

Turns metrics into management-ready conclusions, with every conclusion backed by data cards and evidence.

No black box
Carsdata does not treat AI as a black box. Every recommendation exposes the input evidence, confidence level, model version and business reason.

Built for heavy compute

Pipelines built to process billions of vehicle observations and generate decision outputs across markets and segments.

Distributed ingestion jobs

Batch and incremental processing

Comparable matching at scale

Model feature computation

Daily quality checks

Export and report generation

API serving layer

Dashboard precomputation

1.2M+monthly compute hours
7.4T+model features / month
95M+quality checks / day
2.6PB+data footprint

Illustrative platform-scale figures.

More than scraping

Duplicate detection
Outlier detection
Sample-size warnings
Stale listing detection
NULL vs 0 semantics
Sold proxy vs actual sale distinction
Currency and unit normalization
Country and local market adjustments
Make / model / generation mapping
Equipment normalization
Price lifecycle tracking
Confidence scoring
Audit logs and model versions
NULL ≠ 0
Carsdata distinguishes between missing data, unavailable data and true zero-performance data. In classifieds analytics, NULL can mean a vehicle was not observed or not listed on a portal, while 0 means it was listed but generated zero activity. This distinction is critical for correct portal economics.

One foundation, every product

VIN DecoderVehicle identity graph
Vehicle HistoryRisk and history graph
Price ReportComparable market value
Stock ReportStock and pricing pipeline
SourcingMarket opportunity engine
Photo CheckerListing quality AI
Classifieds AnalysisVehicle-level portal performance
Classifieds OptimizerAd decision engine
Residual Value StudioFuture value and risk modeling
Market DataMacro and micro market intelligence
Custom BuildCustom views, API and reports

Power your own systems

One vehicle, four delivery shapes

Demo
Retail value
€29,904
Liquidity index
72 · Fast
Residual 12m
€27,925
Classifieds action
Review

REST API

GET /v1/vehicles

JSON responses

application/json

CSV exports

.csv · UTF-8

HTML reports

text/html

PDF executive packs

.pdf

BI / data warehouse feeds

Snowflake · BigQuery

Webhooks (planned)

POST · events

Omnetic / ecosystem integrations

OAuth 2.0

Custom dashboards

embed · SSO

Enterprise controls & governance

Designed for GDPR-aware workflows

Supports DPA review

Role-based access patterns

Audit trails

Export logs

Model versioning

Data lineage

Secure API integration

Environment separation

Build your intelligence layer

Explore Market DataBuild a custom viewTalk to data team