Automated Automotive Dealer Lead Qualification with AI
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This workflow automatically qualifies automotive dealership leads using AI and Langchain. It leverages a webhook for lead submission, splits text for processing, generates embeddings, stores them in Pinecone, and uses an AI agent to determine lead quality, logging the outcome to a Google Sheet.
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About This Workflow
Overview
This n8n workflow is designed to streamline the process of qualifying leads for automotive dealerships. By integrating with AI and vector databases, it automates the initial assessment of incoming leads, saving valuable time for sales teams. The workflow begins by receiving lead data via a webhook. This data is then processed by a Langchain agent that utilizes a vector store (Pinecone) for intelligent retrieval and a language model for nuanced understanding. The AI agent's decision on lead qualification is then logged into a Google Sheet for easy review and follow-up.
Key Features
- Automated Lead Capture: Receives new leads directly via a webhook, eliminating manual entry.
- AI-Powered Qualification: Utilizes Langchain with embeddings and a language model to intelligently assess lead quality.
- Vector Database Integration: Leverages Pinecone for efficient storage and retrieval of lead-related data and context.
- Intelligent Agent: Employs an AI agent to make informed decisions about lead suitability.
- Data Logging: Automatically logs qualification results to a Google Sheet for easy tracking and analysis.
How To Use
- Set up Webhook: Configure the 'Webhook' node to receive incoming lead data (e.g., from a form submission or lead provider).
- Configure Text Splitter and Embeddings: Set up the 'Splitter' and 'Embeddings' nodes to process the incoming lead data and generate vector embeddings using your chosen model (Cohere is used here).
- Set up Pinecone: Configure the 'Insert' and 'Query' nodes for your Pinecone index. Ensure the 'indexName' matches your Pinecone index.
- Configure AI Agent: Set up the 'Tool', 'Memory', 'Chat', and 'Agent' nodes. Connect your preferred language model and configure the agent's prompt and tools.
- Google Sheets Integration: Configure the 'Sheet' node to log the results of the AI agent's qualification to your desired Google Sheet.
- Connect Nodes: Ensure all nodes are correctly connected in the workflow to allow data to flow sequentially.
- Activate Workflow: Enable the n8n workflow to start processing incoming leads.
Apps Used
Workflow JSON
{
"id": "336a6b3c-dd11-4ef0-aa64-c3ae8ea79c24",
"name": "Automated Automotive Dealer Lead Qualification with AI",
"nodes": 0,
"category": "Automotive",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 336a6b3c-dd11...
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