Carlelo: Your
Real-World
Automotive &
Sales
Data Playground
Carlelo is a ready-to-use synthetic dataset that mimics the experience of a real car listing and sales platform. Ideal for price prediction models, listing analytics, recommendation engines, and automotive market behavior analysis.
Overview
Carlelo is a synthetic dataset that mirrors how a modern car listing and sales platform works. It includes everything from vehicle listings and dealer info to customer interactions and pricing trends — making it a great resource for anyone exploring the automotive sales space. Whether you're experimenting with price prediction models, analyzing what makes a listing stand out, or testing how users interact with listings, Carlelo gives you a realistic data environment to dive into.
The dataset covers users, vehicles, transactions, specs, reviews, and more — perfect for building recommendation engines, simulating search and filter functions, or tracking market trends. It's useful for developers testing backend systems like listing management or checkout workflows, and for analysts who want to explore how factors like mileage or location impact sales. Plus, it's ideal for SQL training, data modeling, and making sense of user preferences in the car buying journey.
Full Automotive Lifecycle
Simulates a complete car marketplace experience, including user profiles, vehicle listings, dealer details, inquiries, transactions, payments, and reviews.
Built for Development & Testing
Excellent for building and testing price prediction models, vehicle recommendation systems, dynamic pricing strategies, and demand forecasting pipelines.
Backend Feature Testing
Useful for developers working on listing management, search functionality, transaction processing, and customer inquiry flows.
Rich Transaction Data
Supports use cases in user behavior analysis, vehicle preference modeling, regional sales tracking, and promotional impact studies.
Analytics & Research
Suitable for SQL practice, data cleaning, cohort analysis, ETL development, and A/B testing simulations of pricing and sales strategies.
How it Works
AI-Generated & Fully Synthetic
The Carlelo dataset was designed to emulate the operations of a modern vehicle marketplace platform. AI agents simulate behaviors of both individual sellers and potential buyers, covering scenarios like browsing, negotiation, and payment — with zero real dealer or user data.
Realistic Simulation with Privacy
It models car listings, user inquiries, pricing, reviews, transaction records, and vehicle details — without any real dealer or customer data, ensuring ethical use across all automotive applications.
High-Quality & Safe for Use
Built for developers and analysts to test vehicle listing portals, pricing engines, and analytics tools for auto platforms in a fully synthetic environment — 100% privacy-compliant and ready to use.
Dataset Schema
A comprehensive relational model representing a modern car listing and sales platform engineered for deep analysis and complex querying.
Users
Stores user data such as login details, contact info, and role (buyer, seller, admin). Linked to platform actions.
Cars
Represents cars for sale with details like brand, model, price, and fuel type. Key for managing inventory.
Car Images
Holds images of cars (exterior, interior, engine), linked to car listings for display.
Car Listings
Tracks car listings with pricing, status (active, sold), and dates. Allows updates and visibility of cars for sale.
Reviews
Stores reviews for cars, including ratings and comments, offering feedback for buyers and sellers.
Payments
Records payment details for car listings, including method, status, and transaction information.
Inquiries
Tracks buyer inquiries about cars, including messages and dates, facilitating communication before purchase.
Transactions
Logs final transactions for car purchases, with buyer info, amount, and status (pending/completed).
Notifications
Stores notifications for users about platform updates, payments, and car listing changes.
Featured Cars
Lists cars featured for promotion for a specified time, helping highlight select inventory.
- CSV
- JSON
- Excel
- MySQL
- PostgreSQL
- SQL Server
- Snowflake