AI-powered CRM platform for automotive dealership sales and service operations
DriveCentric is a 14-year-old CRM built specifically for car dealerships, combining AI features with integrations into dealership management systems (DMS) and accounting software (Sage Intacct). The tech stack reveals a .NET + SQL Server backend (monolithic) with AWS infrastructure and Angular/TypeScript frontend—and the project list shows active decomposition work (platform governance, monolithic functionality decomposition) alongside emerging AI orchestration for service operations, suggesting a shift from sales-only automation toward dealership-wide engagement.
DriveCentric develops an AI-augmented CRM for automotive dealerships in the United States and Canada. The platform unifies customer data, sales automation, and communications workflows—integrating with DMS providers and OEM certification programs to embed into dealership workflows. Core capabilities span lead engagement, appointment scheduling, conversational AI (virtual BDC assistant), and, increasingly, service department operations (F&I director assistant, service workflow digitization). The company is scaling sales and product roles while tackling internal platform stability (scalability bottlenecks, authentication complexity) and customer retention (reducing churn, increasing adoption).
Backend: C#, ASP.NET, SQL Server, AWS (RDS, CloudWatch, Route 53). Frontend: Angular, TypeScript, JavaScript. Auth: Amazon Cognito, OAuth 2.0, SAML, JWT. Finance/operations integrations: Sage Intacct, Bill.com, Avalara, Paycor. BI: Power BI.
Sales automation and service operations: AI service agent orchestration, service hub workflows, virtual assistant for F&I directors, DealerPay payments integration, and CDP productization. Internal focus: platform governance, monolithic decomposition, and reducing churn.
DriveCentric's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.