Fullpath operates as a specialized agent layer for the automotive retail stack. While it is often categorized as marketing automation, its ability to ingest disparate data sources and autonomously determine the next best action for a specific customer fits the core definition of a domain-specific agent. It effectively replaces the manual labor of equity mining and lead follow-up with a system that makes decisions based on real-time inventory and shopper intent.
Within the agent ecosystem, Fullpath is an example of an AI-first vertical application. It demonstrates how agents can be deployed in industries with high-value transactions and significant legacy data hurdles. By automating the communication loop between the dealership and the consumer, it moves the agent role from a general-purpose chat interface to a proactive, background-operating business logic engine that executes complex workflows autonomously.
Fullpath is a Customer Data and Experience Platform designed for the automotive sector. The company focuses on the specific problem of data siloed within car dealerships. Most dealerships operate with a mix of legacy systems, including a Dealer Management System (DMS) for inventory and accounting, and a separate Customer Relationship Management (CRM) tool for sales. These systems rarely communicate effectively. Fullpath unifies these data points into a single profile, allowing dealers to see a complete history of a customer’s interactions across service and sales departments.
The platform represents a shift from traditional automotive marketing, which often relies on generic email blasts and manual lead follow-up. By layering AI over unified data, Fullpath automates the activation of customer information. This means the system identifies when a past customer is likely in the market for a trade-in based on their service history and current inventory levels. It then triggers personalized communication without requiring a human sales agent to initiate the process. This background operation allows dealerships to maintain a consistent outreach cadence that would be impossible to manage manually.
Founded as AutoLeadStar, the company rebranded to Fullpath to reflect its focus on the entire customer lifecycle rather than just initial lead generation. The transition highlights a broader trend in the automotive industry toward long-term customer loyalty and lifetime value. In December 2022, the company raised $40 million in a Series C round led by Riverwood Capital. This funding was intended to accelerate the development of their data-first approach to dealership operations, moving beyond simple website widgets into deep data orchestration.
The technical challenge in this vertical is the sheer messiness of dealership data. Inventory changes daily, and customer records are often duplicated or incomplete. Fullpath’s AI handles the deduplication and cleansing of this data before it is used for marketing. This ensures that the automated messages sent to customers are accurate and relevant. For example, the system avoids sending a sales offer to a customer who just traded in their vehicle.
By focusing exclusively on automotive, Fullpath avoids the generic constraints of general-purpose CDPs. The platform understands specific dealership concepts like floorplan, OEM incentives, and service drive equity. This vertical focus allows their AI models to make more informed decisions about which vehicle to recommend to a specific shopper at a specific price point. As dealerships face increasing pressure from direct-to-consumer models like Tesla, tools that professionalize the traditional franchise dealer’s digital presence become more critical. Fullpath provides these dealers with the technical capabilities to compete on customer experience rather than just local proximity or price.
An enhanced CDP that unifies dealership data and activates it with AI-driven marketing automation.
Fullpath is hiring