AI for automotive, with buyers setting the price
OceanLab builds AI into used-car and inspection work: estimating prices, checking inspections and writing condition reports. The AI estimates and explains; buyers and reviewers decide. Every example below is a product we built.
OceanLab product builds
AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.
Jeoul - AI Used-Car Pricing Platform with Guardrails and Model Monitoring
Designed and built a clickable pricing platform for a Seoul used-car remarketing company: a pricing model gives every car the same starting estimate with comparable sales, a confidence level and the factors that moved the price, buyers set the final offer after inspection within guardrails, and analysts measure every model version against what the car actually sold for at auction.
Hoodoo - Vehicle Inspection Platform with QA Review and Condition Reports
Designed and built a clickable operations and QA console for a Calgary company with about 70 mobile inspectors: a dispatch board that checks skills, certifications and job caps, a QA queue timed against a 4 business hour target, and a review workspace that turns an inspection into a graded condition report with repair estimates.
Where AI earns its place
Each use case names the builds that did it.
Used-car pricing
Every car gets the same starting estimate with comparable sales, a confidence level and the factors that moved the price. Buyers set the final offer after inspection, within guardrails.
Model monitoring
Analysts measure every pricing model version against what the car actually sold for at auction.
Inspection QA
A QA queue timed against a target, and a review workspace that turns an inspection into a graded condition report with repair estimates.
Inspector dispatch
A dispatch board that checks skills, certifications and job caps before a job is assigned.
What to plan for
The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.
Explain every price
Guardrails on offers
Measure against reality
Automated decisions about people
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →
Questions teams ask
What can AI do for a car dealer or remarketer?
Give every car a consistent starting price with the reasons behind it, check inspections against a QA target and turn them into graded condition reports. Each of these is a product OceanLab built.
Who sets the final price?
A person. In our pricing build the model gives a starting estimate with a confidence level, and buyers set the final offer after inspection, inside agreed guardrails.
How is it priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Keep exploring
Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.
