Success Story

The client is a global automotive market research and intelligence company. They provide comprehensive data, analysis, and insights on vehicle specifications, pricing, and market trends to businesses across the automotive industry.

The client aimed to modernize its vehicle data platform to align with evolving user expectations as they faced the following key challenges that limited its effectiveness:

• The existing traditional filter-based search limited user experience in terms of search efficiency, interactivity, and user satisfaction.
• Limited discoverability and lack of personalization made it difficult for users to find relevant vehicles and reduced overall platform engagement.
• Professional dealers required intelligent, data-rich comparison capabilities for informed decision-making.
• Upgrade from a static to a dynamic, conversational search model experience was needed for delivering personalization and efficiency.

Developed a vehicle recommendation Agentic AI-powered platform with reusable assets, on a scalable multi-agent architecture to replace static searches with dynamic, conversational interactions.

Implemented a Supervisor Orchestrator using LLM intelligence and guardrails to manage context, rewrite queries, and route them to specialized agents.

Introduced a Basket Transformation Agent to help users explore millions of unique vehicles and assist professional dealers to generate competitor comparisons.

Deployed an Equipment Search Agent to provide detailed feature and specification information for recommended vehicles.

Engineered the platform for scalability with seamless agent integration and guided conversations that help users refine queries and make faster decisions. 

• Transformed User Experience: Replaced static filter-based searches with dynamic, conversational interactions, enabling users to efficiently explore 7.7+ million vehicles through natural language queries.
• Accelerated Professional Decision-Making: Empowered dealers with instant competitor comparisons across 70+ metrics, reducing research and analysis time from hours to minutes.
• Established Market Leadership: Positioned the client as an innovation leader in automotive data intelligence by deploying cutting-edge conversational AI technology ahead of competitors.
• Built Scalable Foundation: Implemented multi-agent architecture that supports seamless integration of new capabilities, enabling continuous platform evolution and future business growth.