Car Dealership DMS

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source Dealer Management System unifying inventory, F&I, service, parts, and CRM for automotive dealerships.

Car Dealership DMS is a candidate project to build a modern, cloud-native Dealer Management System for franchise and independent automotive retailers. It targets the operational core of a dealership — sales, finance and insurance, service, parts, accounting, and customer records — and aims to provide a credible open alternative to the legacy enterprise platforms that dominate the market today.

Why Car Dealership DMS?

The DMS market is dominated by three legacy platforms — CDK Global, Reynolds & Reynolds, and Dealertrack — that together serve the majority of US franchise dealerships on enterprise subscription pricing with limited cloud-native architecture.
No open-source DMS solutions were identified during research; every analysed platform is proprietary commercial software, leaving dealers with little leverage on cost, integrations, or data ownership.
Compliance burden is heavy and growing: NADA tracks 85+ federal regulations, the FTC Safeguards Rule has been amended, and the OFAC statute of limitations was extended from 5 to 10 years in March 2025 — yet most platforms still require manual compliance oversight.
Cloud-native, AI-first entrants such as Tekion have shown demand for modern architecture, but remain enterprise-priced and proprietary.
More than 70% of DMS solutions launched since 2024 include AI capabilities, but these are often bolted onto legacy cores rather than designed in from the start.

Key Features

Sales, F&I, and Customer Workflow

Sales workflow with deal tracking from lead capture through contract execution
F&I integration with major lender network connections and finance contract generation
Compliance disclosure automation (FTC Buyers Guide, Equal Credit Opportunity)
Customer records with complete communication history and follow-up tracking
Advanced CRM with lead scoring and predictive follow-up

Inventory, Service, and Parts

New and used vehicle inventory tracking, pricing, acquisition, and disposal
Market-based inventory pricing intelligence with real-time competitor analysis
Service scheduling and repair orders with technician assignment
Parts inventory tracking with automated reorder points
Service lane optimisation with technician capacity forecasting

Accounting and Operations

Accounting integration covering general ledger, AR/AP, and bank reconciliation
Real-time KPI dashboards for gross profit, car count, turnover, and revenue by department
Role-based access control across dealer principal, manager, advisor, technician, and parts roles
Multi-location and multi-user support with centralised reporting
Mobile app support for technicians, advisors, and service managers

Compliance and Regulatory Automation

OFAC SDN list screening with automated audit logs
IRS 8300 cash transaction flagging over USD 10,000
FTC Safeguards Rule audit trail generation
State-by-state electronic titling automation
CFPB / Fair Credit Compliance Policy tracking

AI-Augmented Capabilities

Intelligent used vehicle acquisition and pricing from auction, competitor, and days-to-turn data
F&I product recommendation engine driven by customer financial profile and regional claims data
Predictive service demand using telematics and OEM vehicle health data
Conversational AI for lead response and customer engagement (voice and chat)
Computer vision for vehicle condition assessment and listing photo optimisation

AI-Native Advantage

Unlike incumbents that bolt AI onto legacy cores, this project is designed AI-native from the start, with a unified data core shared across sales, F&I, service, parts, and accounting. AI is applied where it materially outperforms rules and gut feel: used vehicle acquisition and pricing, F&I product personalisation, predictive service scheduling from telematics and OEM data, automated compliance documentation (OFAC, IRS 8300, Safeguards Rule), and lead scoring with computer vision-enhanced merchandising. Agentic AI workflows can take on routine dealership tasks rather than acting only as decision support.

Tech Stack & Deployment

The project targets a cloud-native deployment model in line with the more than 70% of new DMS implementations now delivered as cloud, with mobile access for field and remote use. Integrations are expected across OEM data feeds, lender networks, third-party vendors, all 50 state DMV titling and registration systems, and accounting platforms. Compliance is designed as an integrated workflow aligned with FTC Safeguards Rule, OFAC SDN screening, IRS 8300 reporting, and CFPB / NADA Fair Credit Compliance Policy guidance.

Market Context

The global automotive DMS market is valued at approximately USD 5.58 billion in 2026 and is projected to reach USD 11.19 billion by 2035 at an 8.04% CAGR, with alternate estimates running to USD 10.09 billion by 2035 at 6.8% CAGR. Over 38,000 dealerships worldwide use a DMS, managing more than 280 million vehicle records, with North America holding roughly 38% of installations. Primary buyers are franchise new-car dealers, independent and Buy-Here-Pay-Here dealers, and multi-rooftop dealer groups, all currently served by enterprise-subscription incumbents (CDK Global, Reynolds & Reynolds, Dealertrack, Tekion, DealerSocket) per Industry Research Biz, Business Research Insights, and Allied Market Research.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.