DAISORO

F3.0 / Vehicle & Motor Insurance Intelligence

Vehicle Evidence Layer

Current / in build source-backed UAE vehicle intelligence for motor insurance: trim identity, ADAS/safety by trim, EV/battery and powertrain signals, GCC-vs-import confidence, and evidence records for every client-facing fact.

Current / in buildprimary priority
Industry

Financial Services & Insurance

Family

Vehicle & Motor Insurance Intelligence

Delivery

Scoped file delivery / Cloud/data-platform push

Schema preview

Vehicle Evidence

sample structure
01Make, model family, generation, and model year
02Body style, trim/grade, and option/package variant
03Powertrain, drivetrain, EV/battery, and warranty signals
04ADAS, passive safety, dimensions, and repair-relevant features
05GCC-vs-import confidence and source-region evidence
06Source tier, evidence URL/archive, captured date, and QA/confidence state

What it captures

  • Make, model family, generation, and model year
  • Body style, trim/grade, and option/package variant
  • Powertrain, drivetrain, EV/battery, and warranty signals
  • ADAS, passive safety, dimensions, and repair-relevant features
  • GCC-vs-import confidence and source-region evidence
  • Source tier, evidence URL/archive, captured date, and QA/confidence state

Decision workflows supported

  • Motor underwriting inputs
  • Pricing and risk-feature review
  • Claims and repair context
  • AI-ready vehicle reference data

Buyer roles

  • Motor underwriting teams
  • Pricing and actuarial teams
  • Product and distribution leaders
  • Claims and repair strategy teams
  • Data and AI teams

Delivery models

  • Scoped file delivery
  • Cloud/data-platform push
  • Schema/API integration scoping

Decision workflows supported

Pricing strategy

Monitor offer changes, bundle mechanics, channel variance, and competitor moves.

CVM / retention

Feed churn, retention, and portfolio-risk workflows with structured market signals.

Data & AI ingestion

Use stable IDs, schema fields, evidence references, and version states in AI pipelines.

Regulatory transparency

Review public terms, fair-use labels, evidence, and change history without overclaiming legal status.

Sample structure

Non-downloadable field preview

Request sample dataset

This preview shows the record structure without presenting field examples as live data.

Make, model family, generation, and model yearidentifier / label
Body style, trim/grade, and option/package variantidentifier / label
Powertrain, drivetrain, EV/battery, and warranty signalsstructured value
ADAS, passive safety, dimensions, and repair-relevant featuresstructured value
GCC-vs-import confidence and source-region evidenceevidence metadata
Source tier, evidence URL/archive, captured date, and QA/confidence stateevidence metadata

Dataset scope

Refresh cadence

Captured-date and QA-state fields are included; operational cadence is scoped by dataset and engagement.

Coverage

Current / in build evidence layer; client scope and market coverage are defined before delivery and do not imply full UAE market completeness.

Evidence depth

Source tier, Evidence URL or archive, Captured date, Screenshot or document reference where available, Version hash, QA/confidence state

EVIDENCE REFERENCES

Proof fields travel with the record.

Records are designed to preserve the source, capture state, and QA context needed for downstream review.

Source URLCapture timestampScreenshot referenceDocument referenceVersion hashQA state

VERSION HISTORY

Offer change trail.

1First seencapturevh_01a2
2Promo price addedprice deltavh_02b7
3Eligibility changedrule updatevh_03c4
4Allowance updatedbundle deltavh_04f9
5Offer retiredstatus changevh_05d1

Related datasets

Adjacent signals

Request sample dataset
F3.1
Roadmap

Multi-Carrier Quote Matrix

Financial Services & InsuranceInsurance Market Intelligence

Roadmap / design-partner scoping module for observable motor-insurance quotes structured by carrier, channel, persona, vehicle, coverage level, premium, deductible, add-ons, quote outcome, and evidence.

Use cases
Competitive quote benchmarkingPricing simulation
Key fields
Market and countryCarrier, broker, aggregator, and direct channel
View dataset
F3.5
Next wave

Underwriting Intelligence

Financial Services & InsuranceUnderwriting Intelligence

Next wave risk-relevant vehicle feature layer for motor insurance: trim-level safety/ADAS, EV/battery and powertrain signals, source-region confidence, vehicle value/depreciation context, RepairCheck context, and evidence trails.

Use cases
Pricing supportRisk appetite review
Key fields
Vehicle identity spine and trim/gradeADAS, passive safety, powertrain, EV/battery, and drivetrain signals
View dataset
F3.6
Roadmap

Vehicle Value & Depreciation Layer

Financial Services & InsuranceVehicle Market Signals

Next wave / roadmap source-backed vehicle value and depreciation context designed to support pricing, claims, product, and portfolio analysis without treating listings as transaction-price truth.

Use cases
Pricing supportClaims and total-loss context
Key fields
Vehicle identity referenceListing-observed value band and source type
View dataset

Next step

Request a sample or map this dataset to your workflow.

DAISORO can discuss market scope, evidence depth, delivery model, and sample structure for your workflow.

Back to catalogue