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Advanced LLM-Powered Sales Meeting Analysis System for Latin American Metal Trading Company

neoteric.eu

Other industries

Business services

Manufacturing

Challenges in Analyzing Unstructured Sales Meeting Data

The company struggles with extracting actionable insights from unstructured Spanish-language sales meeting notes due to inconsistent formatting, entity ambiguities, and lack of integrated data analysis capabilities. This hinders decision-making and operational efficiency.

About the Client

Leading metal trading company in Latin America with operations in Mexico and Argentina

Key Project Goals

Transform unstructured meeting notes into structured, analyzable data
Create a 360-degree view of sales operations across multiple dimensions
Enable real-time summary generation and query processing
Implement accurate entity recognition and disambiguation system
Optimize processing speed for time-sensitive business decisions

Core System Capabilities

Multilingual (Spanish) NLP data ingestion pipeline
Entity recognition and disambiguation engine
Natural language query interface with MongoDB translation
Real-time summary generation and trend analysis
Cross-source data integration and visualization dashboard

Technology Stack

GPT-3.5

MongoDB

Langchain

Azure

System Integrations

CRM systems
Internal databases
User authentication services

Performance Requirements

Sub-5-second response time for summary generation
High-accuracy entity recognition with human-in-the-loop verification
Scalable cloud architecture on Azure
Data security and compliance with regional regulations

Expected Business Outcomes

Enables data-driven decision-making through rapid insights extraction, improves sales process efficiency by 40%, enhances entity recognition accuracy for better client analysis, and provides actionable trends for strategic planning.