A tailored Dealer Management System (DMS) was designed and implemented to streamline after-sales processes in the automotive industry.
The system, called Copilot Next, integrates with various platforms, including ERP, CRM, and payment systems, to improve collaboration between dealers and distributors. It uses AI tools to improve part ordering accuracy and ensures data consistency across systems. The DMS effectively meets the needs of multiple vehicle brands and improves dealership operations and customer service.
Abstract
This paper presents a thorough investigation into the design and implementation of a Dealer Management System tailored for the automotive industry. The DMS is intended to streamline after-sales processes such as inventory and expense management, service order creation, and financial data monitoring. The system integrates with a variety of other platforms, including ERP, CRM, and payment systems, which improves collaboration between dealers and distributors. The architecture of DMS, known as Copilot Next, is detailed, with a focus on the backend, frontend, and integration components. Sentinet and Dell Boomi are integration tools that allow for seamless connectivity with other systems. The findings show that the DMS effectively meets the needs of multiple vehicle brands, improves part ordering accuracy with AI tools, and ensures data consistency across systems. This study offers useful insights into the design and implementation of a DMS that can significantly improve dealership operations and customer service in the automotive industry.
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