Normalized claim
Quantified impact: 80% increase
More than 80% of Motorway’s ML models make it to production.
Motorway case study | Google Cloud
Use case typeDocument automationUpdated Jun 13, 2026
Motorway is a UK used car marketplace that uses Google Cloud AI to improve vehicle valuation and document validation at scale. The company uses Gemini 1.5 on Vertex AI to extract text from digitized service history papers, classify document types, extract service events, and flag cases that need follow-up with sellers. Motorway also uses Vertex AI models and endpoints in its Real-Time Price Machine to generate instant valuations for used cars and improve pricing accuracy and trust between sellers and dealers.
- Organization
- Motorway
- Industry
- Retail
- Location
- United Kingdom
- Published
- May 2026
Reported outcomes
+80%
quantified impactOther quantified impact
94.7%quantified impact
Strategic outcomes
New product / capabilityBuilt AI-powered document validationNew product / capabilityCreated instant vehicle valuation capabilityCustomer experience & trustImproved pricing accuracy and trustScale & capacityScaled valuation service delivery
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Quantified impact: 94.7%
Gemini 1.5 Pro delivered 94.7% accurate document validation.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Motorway
- Provider
- GCP
- Maturity
- Scaled Production
- Linked source
- Google Cloud
Motorway is a UK used car marketplace that uses Google Cloud AI to improve vehicle valuation and document validation at scale
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Document Intelligence
- 2Pricing and Valuation
- 3MLOps
- Used car seller documents are unstructured, often handwritten, and difficult to validate quickly and accurately.
- The company needed to improve vehicle pricing and valuation accuracy at scale while reducing manual work for its team.
- Motorway built AI-powered document validation on Google Cloud using Gemini 1.5 on Vertex AI.
- Gemini extracts text from service history documents, classifies evidence types, and structures outputs for dealers.
- Motorway uses Vertex AI models and endpoints for the Real-Time Price Machine to produce instant, market-aware vehicle valuations.
- The company also uses Google Cloud services such as BigQuery, Pub/Sub, Cloud Functions, Cloud Scheduler, Batch, and Artifact Registry as part of its ML and valuation workflow.
- More than 80% of Motorway’s ML models make it to production.
- Gemini 1.5 Pro delivered 94.7% accurate document validation.
- The Real-Time Price Machine has served approximately 8 million valuations to UK customers since launch.
- The solution improved pricing accuracy and trust, and reduced manual document validation effort.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 28, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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