Toyota Boshoku - AI-Powered Market Research Platform
Project Overview
An AI-powered market research platform that codifies expert research methodologies into transparent agent workflows, enabling enterprises to generate explainable and traceable business analysis reports faster.
Industry Pain Points
Insufficient Control in Research Process
Industry research informs critical business decisions. Experts need controllable problem decomposition and data collection methods, which many general-purpose AI assistants do not provide with sufficient transparency.
Delayed Response to Market Changes
- Rapid shifts in automotive technology and consumer preferences
- Market teams at large automotive companies struggle to capture changes in consumer demand quickly enough
Limitations of Traditional Research Methods
- Manual market research and analysis can be subjective
- Manual research often covers a limited range of information channels
Innovative Solution
The system connects research agents to search engines, internal enterprise knowledge bases, and targeted external sources. With tool orchestration and citation tracking, it generates data-driven business insight reports and significantly improves research efficiency.
Core Methodology
Using large language models and AI search engines, the system reproduces the client's market research methodology across the full analysis workflow. Human supervision and discussion stages are built in to improve information reliability while expanding the breadth of available sources.
Technical Implementation
- Search agents with curated citation pools, filtering, and source maintenance
- Context management across multi-step research tasks
- Traceability for each analysis stage
- Human-in-the-loop feedback to capture user preferences and build enterprise knowledge
- Reasoning over large volumes of source material
- Consumer demand scenario simulation
- Forward-looking reports and visualized analysis outputs
Application Scenarios
Representative use cases include automotive consumer demand research, in-vehicle experience competitive analysis, and consumer behavior research.
By codifying expert analysis frameworks, the system automatically decomposes research topics and generates complete analysis reports covering social trends, market size, consumer characteristics, user personas, and related dimensions.
