Block 1 - Google Gemini Chat Model1
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Smart Telegram Shopping Assistant with AI Product Recommendations Workflow Overview Target User Role : E commerce Business Owners, Affiliate Marketers, Customer Support Teams Problem Solved : Bu...
@n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.telegramtrigger, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.switch, n8n-nodes-base.telegram, n8n-nodes-base.httprequest
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Roshan Ramani.
Original n8n.io sourceTarget User Role: E-commerce Business Owners, Affiliate Marketers, Customer Support Teams
Problem Solved: Businesses need an automated way to help customers find products on Telegram without manual intervention, while providing intelligent recommendations that increase conversion rates.
Opportunity Created: Transform any Telegram channel into a smart shopping assistant that can handle both product queries and customer conversations automatically.
This workflow creates an intelligent Telegram bot that:
@n8n/n8n-nodes-langchain (for AI functionality)/newbot commandTelegram Trigger receives all messages
Cleans and normalizes user input for better search results
Determines if message is product-related or conversational
Directs to appropriate workflow path based on intent
Handles greetings, questions, and general support
Scrapes Amazon → Processes data → AI analysis → Recommendations
Formats and sends responses back to Telegram
Intermediate Level - Requires API setup but includes detailed instructions. Perfect for users with basic n8n experience who want to create something powerful.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Smart Amazon shopping assistant with Gemini AI and Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Lead Nurturing, AI Chatbot |
| Author | Roshan Ramani |
| Published | 24 Jul 2025 |
Use the JSON export at /data/workflows/6384/6384.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Smart Telegram Shopping Assistant with AI Product Recommendations Workflow Overview Target User Role : E commerce Business Owners, Affiliate Marketers, Customer Support Teams Problem Solved : Bu...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Nurturing, AI Chatbot use case.