The AI Advantage
Transforming Complexity
into Velocity
We don't rely on simple algorithms. Our models are trained specifically on automotive claims and parts logic.
Computer Vision Damage Analysis.
AI reads multi-angle accident photos to detect damage type, severity and location, predict internal and hidden damage, and identify the affected parts with OEM cross-reference - a complete, editable assessment before an adjuster opens the file. Photo-only, so no on-site visit is needed for most claims.
- ≥90% parts identified without manual edits [target]
- ≥88% severity agreement with assessors [target]
- AI processing under ~3 minutes
- all 6 hidden-damage categories
Predictive Sourcing Matrix.
Separately, the sourcing engine (Quotation Builder + Auction) evaluates supplier inventory, price history and logistics across 2,000+ suppliers to find the route that minimises both vehicle downtime and cost.
- real-time inventory sync
- dynamic pricing models
- transit SLA calculation
3 Parts Identified
Matching Suppliers...
AI Vehicle Damage Assessment
Analyzing vehicle condition using computer vision and intelligent part mapping














AI Diagnostic Pipeline
Automated Sourcing WorkflowThe scanner orchestrates a three-tier pipeline that automates visual diagnostics, official OEM catalog matching, and real-time merchant inventory sourcing:
Computer Vision Scanning
Scans the structural canvas to locate physical deformities, deviations, and structural component damages.
OEM Component Extraction
Cross-references identified anomalies against the official manufacturer registry database to extract precise OEM part refs.
Live Market Sourcing
Queries global distributor systems to pull real-time dealer pricing, shipping speeds, and live inventory matching.
Pipeline
How Raw Data Becomes
An Automated Order
Watch how unstructured data is transformed into a flawless, automated procurement transaction.
Unstructured to Structured
AI reads raw PDF estimates and photos and converts them into structured data using OCR and natural-language processing, extracting part names, labour hours and vehicle details.
The Universal Translator
Maps generic descriptions (“frt bmpr cvr”) to exact OEM/aftermarket catalogue numbers and regional inventory IDs.
Routing & Sourcing
Evaluates supplier options, transit times, risk scores and price history to find the best-value procurement route in milliseconds.
Enterprise AI Stack
The complete AI behind Parts Hub
Four AI intelligences across the journey, sharpened by a continuous-learning engine that improves with every claim.
AI Damage Assessment
From photos: detects damage type, severity and location, builds a 3D damage map, and predicts internal and hidden damage.
AI Parts Builder
Turns the assessment into an accurate, OEM-mapped parts list — repair/replace decisions, cascade effects and compatibility — ready to feed the quotation.
AI Garage Intelligence
Recommends the best-fit garages for an insurer’s RFQ, auto-prepares garage quotations from their own past data, and assists with labour estimation and sourcing — getting smarter as more data flows in.
AI Supplier Intelligence
Routes the right RFQs to the right suppliers, benchmarks pricing, forecasts demand, and scores supplier performance — keeping parts competitive and available.
Continuous Learning
Every outcome trains the models, so damage accuracy, parts mapping, garage recommendations and auto-prepared quotations all improve over time.
AI For Every Consumer
How the AI helps each side
The same AI suite delivers different wins to each partner - every feature, shown by who it serves.

For Insurers
AI Damage Assessment
assess damage from photos
AI Parts Builder
an accurate, OEM-mapped parts list
Garage recommendation
recommend the best-fit garages for each RFQ
Pricing intelligence & claim audits
flag overpricing and leakage, benchmark fair value
Quotation comparison & decision support
compare garage quotations, repair-vs-total-loss, best value
Loss-ratio insights
anticipate regional parts-price inflation

For Garages
AI Damage Assessment
assess walk-in and RFQ vehicles
AI Parts Builder
auto parts list (OEM, repair/replace, cascade, hidden damage, labour complexity)
Auto-prepared quotations
drafted from your own past data
Intelligent parts matching & sourcing
compatibility, aftermarket & salvage alternatives, best value
Timeline prediction
realistic repair completion times

For Suppliers
AI Supplier Intelligence
the right RFQs routed to you
Pricing benchmarks
price competitively
Demand forecasting
stock the right parts at the right time
Supplier scoring
improve your standing and win more
Emergency sourcing
capture urgent demand
Continuous Learning
Ecosystem Testimonials
What Our Valued Partners Are Saying About Us
Hear directly from leading insurers, top collision centers, and certified parts distributors who run their daily operations on Parts Hub.
“Parts Hub gives us complete visibility into pricing and supplier performance. Our claims move much faster now.”
“Identifying parts and getting approvals is so much easier. It saves us hours daily.”
“The RFQs we receive are perfectly matched to our inventory. It's increased our conversions.”
AI Platform FAQs
Frequently Asked Questions
Learn more about how our AI models are trained, integrated, and securely deployed across the Parts Hub platform.
On automotive claims and parts data - accident imagery, workshop estimates and OEM/aftermarket catalogues - so it understands real repair scenarios, not generic objects.
AI produces the assessment and recommendations in minutes, but humans stay in control: the assessment is decision-support, and adjusters and garages review and approve every result.
No. It removes the repetitive work - reading photos and PDFs, mapping parts, comparing quotes - so your team focuses on judgement and exceptions.
Multi-angle photos of the vehicle (uploaded, captured live, or sent by the owner via a guided link). It detects the damage, predicts internal and hidden issues, and identifies the parts automatically - no special format required.
It benchmarks every quote against market and historical pricing and flags anomalies, so overpriced line items are caught automatically.
Yes - encrypted in transit and at rest, role-based access, used only to run your workflow, and every AI decision logged and auditable.
The Future Is Intelligent
Drive Smarter Outcomes.
Let AI drive smarter decisions, faster workflows, and better outcomes across your ecosystem. Ensure security and reliability.