Standard SaaS tools stop at generic KPIs and cannot answer a specific automotive decision.
Service / Delivery model
Any data view, built on Carsdata
When a standard product is not enough, we build custom dashboards, reports, APIs and decision tools.
Data foundation
Selected signals
Business logic
Dashboard / API / report
Client workflow
Beyond the standard dashboard
A bank needs collateral risk by LTV band. An importer needs residual stress by model generation. A dealer group needs aged-stock actions by rooftop. A marketplace needs portal economics by vehicle and segment. Carsdata can turn the same underlying data foundation into a view built for the exact decision.
Automotive decisions depend on country, model, trim, mileage, dealer and channel context.
Internal teams often lack clean, structured external market data to act on.
Board reports need methodology and defensible numbers, not just charts.
APIs and exports must fit existing systems, formats and workflows.
What Carsdata can build
A typical custom build turns the data foundation into one decision surface: here, a bank's collateral cockpit with live exposure, LTV stress and residual risk.
Bespoke build · previewBank collateral cockpitDemo
- Portfolio value
- €482M
- LTV stress (90d)
- −3.8%
- Anomaly flags
- 142
- Residual scenario
- P50
Exposure by LTV band
17%
Residual risk
of portfolio
Custom dashboards
Interactive dashboards for executive, pricing, stock, risk, sourcing, residual value or network performance decisions.
Automated HTML/PDF reports
Client-ready board packs and recurring reports with charts, commentary and methodology.
API / data feeds
Market values, residual values, vehicle identity, history risk, liquidity and portfolio signals delivered into client systems.
Data enrichment layers
Vehicle identity, price corridors, comparable vehicles, market demand and risk flags added to internal DMS/CRM/loan systems.
Decision engines
Vehicle-level actions such as price, reprice, promote, stop advertising, buy, hold, transfer, remarket or investigate.
Market intelligence desks
Recurring analysis for OEM/importers, banks, leasing companies, dealer groups and marketplaces.
Example custom builds
How a custom build happens
1
Decision workshopDefine the business question, users, data inputs and decision output.
2
Data mappingMap Carsdata signals, client inputs, source systems and required granularity.
3
PrototypeBuild a clickable dashboard/report/API mock with demo data and methodology notes.
4
ValidationValidate sample size, outliers, definitions, business rules and export logic.
5
Production deliveryDeliver dashboard, report, API or scheduled export with documentation and an iteration loop.
Custom, not from zero
Carsdata custom builds start from a live automotive intelligence foundation: vehicle identity, listing lifecycle, pricing, liquidity, residual values, dealer networks, classifieds performance and market signals are already modeled. The custom layer adapts these signals to the exact decision, workflow and system environment of the client.
Carsdata Data Foundation
Vehicle identity
Market pricing
Liquidity & DOM
Residual values
Stock & dealer network
Classifieds performance
Feature intelligence
Alerts & opportunities
Custom layerCustom business logic
Client delivery
Client dashboard
API feed
Report / export
Delivery formats
A question software can't answer?
Carsdata can turn it into a dashboard, report, API feed or decision workflow.