Grey Fleet Mileage Intelligence

Turn mileage claims into
actionable insight

FleetAnalytics analyses your employee mileage claim data to produce emissions reports, surface fraudulent claims, and uncover strategic fleet decisions — without changing how you collect data.

GreyFleet — Live Analysis Processing
1,842 Claims
18.6t CO₂e Scope 3
7 Alerts
Petrol
61%
Diesel
31%
EV / HEV
8%
🏭
Emissions Report Ready
Scope 3 · DfT VES per-vehicle CO₂ · SECR aligned
CSRD
⚠️
Claim Anomaly Detected
Distance exceeds postcode route by 43%
AMAP
📍
EV Transition Opportunity
Buy vs. claim breakeven · 3 charge clusters
Insight

Everything your mileage
claim data should be doing

Each module works independently or as part of an integrated grey fleet intelligence workflow. Upload your mileage claim export as CSV or XLSX — we handle the rest.

Module 01
🏭

Emissions & Carbon Reporting

Each reg plate is queried against the DfT Vehicle Enquiry Service API to retrieve that vehicle's actual type-approval kgCO₂/km figure — not a generic fuel-type average. Mileage claimed × vehicle-specific CO₂ gives per-driver and organisation-level profiles ready for regulatory submission.

  • Reg plate → DfT VES API → vehicle-specific kgCO₂/km
  • Scope 1 & Scope 3 emissions (tCO₂e)
  • SECR, CSRD, and net zero reporting
  • Year-on-year benchmarking by driver or department
Module 02
🔍

Fraud & Anomaly Detection

Statistical analysis of mileage claim records to surface inflation, phantom journeys, and HMRC compliance failures. Catches what manual approval misses before money leaves the door.

  • Claimed distance vs. postcode-route validation
  • Mileage inflation and phantom journey detection
  • HMRC AMAP threshold breach identification
  • Per-driver risk scoring and audit trail
Module 03
📍

Logistics Insights

Strategic analysis of journey patterns to inform fleet policy decisions — from EV transition planning to territory restructuring. Turns claim data into a roadmap for reducing grey fleet cost and carbon.

  • Buy vs. claim breakeven modelling per driver
  • EV charge point placement from journey clustering
  • Cost per mile benchmarking by role or region
  • Journey cluster analysis for territory planning

Built for teams that need
answers, not spreadsheets

FleetAnalytics is designed for any organisation where employees claim mileage reimbursement — from sustainability leads approving Scope 3 reports to finance teams worried about HMRC exposure.

🏢
Large Corporates

Meet SECR, CSRD, and net zero commitments with audit-ready Scope 3 grey fleet emissions data derived from your existing mileage claim records.

🏛️
Public Sector

Local authorities, NHS trusts, and government bodies processing high volumes of employee mileage claims requiring carbon reporting and fraud controls.

💼
Finance & HR Teams

Identify HMRC AMAP non-compliance, over-claimed mileage, and phantom journeys before reimbursements are approved — at scale.

🔧
Fleet & Sustainability Managers

Make the case for EV transition, pool vehicles, or charge point investment with breakeven analysis drawn directly from your own claim data.


Upload. Analyse. Act.

No new software to install. No telematics hardware. Just your existing mileage claim export in the format you already have it.

01 📤
Upload Data

CSV or XLSX export from your expenses, HR, or finance system — reg plates, postcodes, and claimed miles

02 ⚙️
Processing

DfT VES API lookups retrieve each vehicle's actual kgCO₂/km; postcode distance validation and anomaly scoring run automatically

03 📊
Reporting

Emissions reports, fraud flags, AMAP compliance checks, and strategic insights — formatted for each team

04
Take Action

Approve, challenge, or submit — with evidence-backed outputs ready to act on immediately

Ready to see what your
mileage claims are hiding?

We're working with a small number of early clients to tailor FleetAnalytics to their data and reporting needs. Tell us about your grey fleet and we'll be in touch within five working day.

hello@wrightlabs.co.uk
🌐fleetanalytics.co.uk
🏢A WrightLabs Ltd service · Registered in England & Wales

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