Sales Assistant AI
Autonomous Sales Prospecting Assistant at LinkedIn
Project Overview
Built an intelligent sales assistant that automates the entire prospecting workflow, from lead identification to personalized outreach generation, using advanced ML models and behavioral analytics.
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Key Features
MCP (Model Context Protocol) for standardized AI model communication
Multi-Agent Architecture with specialized sales functions
Research Agent for deep prospect analysis using social media APIs
Scoring Agent implementing ML-based lead scoring with gradient boosting
Outreach Agent generating personalized messages using fine-tuned LLMs
Behavioral Intent Detection with real-time digital footprint analysis
A2A (Agent-to-Agent) Communication for coordinated decision-making
Dynamic Persona Matching using clustering algorithms (K-means, DBSCAN)
Automated Follow-up Sequences with stateful workflow management
API integrations with LinkedIn Sales Navigator, Salesforce CRM, HubSpot
Challenges Solved
- Implementing MCP protocol for seamless AI model integration
- Building multi-agent architecture with coordinated decision-making
- Developing real-time behavioral intent detection systems
- Creating dynamic persona matching using advanced clustering
- Ensuring stateful workflow management for automated sequences
Key Outcomes
- Successfully deployed multi-agent sales automation system
- Implemented advanced MCP protocol for model communication
- Built real-time behavioral analytics for prospect insights
- Achieved automated prospecting workflow from lead identification to outreach