Automated Cold Calling Workflow with Web Scraping, GPT-4o, and WhatsApp Integrat

Overview

This workflow streamlines the cold calling process by integrating web scraping, AI-driven data enrichment, and WhatsApp communication. It leverages Google Drive for data sourcing, processes documents with LangChain nodes, and utilizes OpenAI's GPT-4o for intelligent lead handling.

Key Features

• Automated Data Collection: Searches and retrieves files from Google Drive, extracting relevant contact data.
• AI-Powered Enrichment: Uses OpenAI embeddings and LangChain agents to analyze and enrich lead information.
• Batch Processing: Efficiently handles large datasets with batch processing and recursive text splitting.
• Vector Storage: Stores enriched data in Supabase for fast retrieval and semantic search.
• Conversational Memory: Maintains chat history in Postgres for personalized follow-ups.
• WhatsApp Outreach: Automates personalized messaging to leads via WhatsApp.

Benefits

• Saves significant manual effort in lead research and outreach.
• Increases cold calling efficiency with AI-driven insights.
• Ensures consistent, personalized communication at scale.
• Centralizes data for easy tracking and follow-up.

Use Cases

• Sales teams automating lead generation and outreach.
• Marketing departments running targeted campaigns.
• Businesses seeking to scale personalized cold calling with minimal manual input.