AI-Powered Strategic Research Automotive Tier-1 Market Research Case Study
FBT successfully deployed an AI-driven market research platform for a leading global Automotive Tier-1 supplier, leveraging AI Agents, RAG, and LLM to reduce research cycles from weeks to hours.
Client Challenge
"How to quickly identify technical directions for next-gen products from massive information?"
Time-consuming and Inefficient
Traditional market research (public search, report compilation) takes weeks, relies heavily on manual labor, and cannot keep up with the rapid pace of market and technology changes.
Lack of Analytical Depth
Information sources are scattered. Public intelligence, internal knowledge, and historical reports cannot be effectively integrated, making it difficult to generate deep insights.
FBT's Solution
AI Agent Automated Research & Deep RAG Integration
FBT's solution is a B2B-focused "Multi-Agent + Workflow" platform. It replicates the business experience of senior market analysts, using AI Agents to automatically execute task decomposition, information retrieval, and report generation, storing all process information into the enterprise knowledge base.
Our platform combines AI Agents, RAG, and MCP technology to automate market research and technical analysis. It scans public data, integrates it with the client's internal product knowledge (RAG) and applies a Reasoning LLM to identify potential tech solutions for next-gen products. Finally, it auto-generates comprehensive reports and converts all insights into the client's internal knowledge base.
Solution Architecture
Enterprise (B2B) vs. General (C-side) Tools
Unlike general-purpose tools focused on "generalization," our B2B solution is designed for "high precision." B2B decisions rely on strict data sources, traceable analysis, and deep integration with internal knowledge—capabilities that general tools cannot provide.
Platform Workflow
How our platform completes research through structured steps
(Scroll horizontally to see the full process)
* All charts are generated in real-time by the system, supporting export and interaction.
Implementation Results
The core goal is to output high-quality, traceable analysis reports, helping enterprises propose competitive product and development strategies.
Research Cycle Reduced to 1-2 Hours
Tasks that previously took weeks (due to varying directions and data limitations) are now reduced to an initial analysis in 1-2 hours via the AI platform.
Forms an Internal Expert KB
Valuable market info and analysis materials are auto-saved, gradually building an internal knowledge base for secondary dialogue and analysis.
Prompt Engineering Empowers Team
The Prompt Engineering library incorporates professional analysis methods and expert knowledge, providing a crucial foundation for expanding the AI's analytical dimensions.
Start Your AI Transformation
We are seeking partnerships with enterprises looking to leverage AI Agents for research, knowledge management, and product development.