Intelligent Product Search & Shopping Assistant
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Automate your product searches and get personalized recommendations with this AI-powered workflow. Seamlessly integrates with Telegram to understand your needs and fetch the best deals from online retailers.
About This Workflow
This n8n workflow leverages the power of Google Gemini's AI to create an intelligent shopping assistant. It listens for your product queries via Telegram, processes your requests with sophisticated language understanding, and can even clean and format your search terms for optimal results on platforms like Amazon. It intelligently routes your requests, either to a dedicated product search pipeline or to a helpful conversational AI for general inquiries. This empowers users to find exactly what they're looking for, quickly and efficiently, all within a familiar chat interface. The workflow's ability to parse structured output ensures that AI responses are predictable and actionable.
Key Features
- AI-Powered Product Discovery: Utilizes Google Gemini to understand natural language product queries.
- Smart Input Cleaning: Automatically cleans and normalizes your search terms, removing irrelevant phrases and punctuation.
- Intelligent Routing: Differentiates between product search requests and general chat, optimizing response handling.
- Structured Output Parsing: Ensures AI responses are in a predictable JSON format for further automation.
- Telegram Integration: Seamlessly receives and responds to messages through your Telegram app.
How To Use
- Connect Telegram: Set up the
Telegram Message Receivernode with your Telegram bot credentials. - Configure Intent Classifier: Customize the
Message Intent Classifier's system message to define how the AI should identify product-related queries versus general chat. - Define Product Query Logic: Utilize the
Product Query Cleanernode to preprocess user messages, extracting and formatting product keywords. - Set Up AI Models: Configure the
Google Gemini Chat Modelnodes with your Google Gemini API credentials to power the AI's understanding and response generation. - Implement Output Parsing: Use the
Structured Output Parsernode to ensure AI responses are consistently structured for further processing. - Configure Routing: Set up the
Product vs Chat Routerto direct messages to the appropriate processing path based on the AI's intent classification. - Generate Responses: Configure the
Chat Response Generatorto craft AI-driven responses for both product-related and general chat scenarios.
Apps Used
Workflow JSON
{
"id": "fa849d97-d045-46dd-9c0d-d09364a5b48c",
"name": "Intelligent Product Search & Shopping Assistant",
"nodes": 16,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: fa849d97-d045...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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