VisionAST · Automotive analyticsCase study
Car dealerships ask their data questions and get answers.
VisionAST turns sales data from car dealerships into reports. The data comes from seven software vendors, and the same product arrives under many different names.
7 dealer-software vendorsSales data filesA 14-year-old platform
One set of numbersProduct sortingAI analystAI command center
The film on this page shows the real system.
The shape of the problem01
Before: many tools.After: one system.
- Seven software vendors sent the same kind of data in seven different shapes.
- The same product arrived under many names, so reports could not compare it.
- The platform was 14 years old, and every new report was a custom job.
What we built02
One system.Four parts.
Each part does one job the team used to do by hand.
- 01
One set of numbers
Data from seven dealer-software vendors lands in one place, in one shape.
- 02
Product sorting
AI sorts each product into the right category. Anything it is less than 80% sure about goes to a person.
- 03
AI analyst
People ask questions in plain English and get exact numbers, charts, Word reports, and slide decks. Each person sees only their own data.
- 04
AI command center
Type what you want to see, or paste a screenshot of an old report. AI builds it as a live dashboard.
The result03
The work changed.It stays changed.
- The AI analyst wrote 266 Word reports and 22 slide decks in its first three months.
- In testing, the command center rebuilt 10 of 10 real reports from a request.
- The new system replaced the 14-year-old platform.
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Every business is different.Yours is next.
Tell us where your data lives and who moves it by hand. We will tell you what AI would change.