TY  - THES
U1  - Abschlussarbeit (Master)
A1  - Shivaraju, Anusha
T1  - LLM-Driven Multi-Agent System for Market Trend  Analysis and Capability Mapping
N2  - This thesis presents a multi-agent AI system for automated market trend analysis by processing emails, newsletters, and PDFs. The system employs a structured workflow of autonomous agents for content extraction, summarization, subtopic identification, and topic clustering, leveraging OpenAI’s GPT-4 within an Autogen-based framework.
Key features include multi-tenant adaptability, customer-specific trend analysis, and Azure SQL integration for structured data storage. The system demonstrates good accuracy in trend extraction and classification, addressing challenges like varying LLMs output and multi� schema architecture.
This research underscores the potential of AI-powered automation in business intelligence, optimizing decision-making and strategic market analysis.
KW  - Market Trends Analysis
KW  - Multi-Agent System
KW  - AI-Driven Solutions
KW  - OpenAI GPT-4.0
KW  - Autogen Framework
KW  - Multi-Tenant Environment
KW  - Topic Clustering
KW  - Azure SQL
KW  - Technological Insights
KW  - Business Intelligence
KW  - Newsletters and Email Processing
Y2  - 2025
SP  - 47
S1  - 47
PB  - Hochschule Offenburg
CY  - Offenburg
ER  -