The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The S...The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The S...
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Trashu Vashisth
• 21h
The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring.
Key Technical Highlights:
Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring).
High-Speed Intelligence: Powered by Llama 3.3-70B  for near-instant reasoning and decision-making.
Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning.
Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard.
Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints.
How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
AI Agent DesignerAI AutomationAI DevelopmentLangChainPythonStreamlit
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