AI-Powered Credit Card Recommender with GPT, Telegram & Sheets
Delivers personalized credit card recommendations via a Telegram lifestyle quiz, using OpenAI GPT for analysis against 30+ cards and Google Sheets for logging, with transparent ₹-value breakdowns in under 3 seconds.
This workflow automates a smart credit card recommendation system. Users interact with a Telegram bot to answer a 7-question lifestyle quiz. Responses are logged in Google Sheets for tracking and deduplication. n8n Function nodes then score the inputs to build a user profile.
OpenAI GPT analyzes the profile against a dataset of 30+ credit cards, generating top 3 recommendations with detailed breakdowns of rewards, milestones, lounge access, and real currency value. Results are instantly sent back via Telegram, ensuring transparency and speed.
Benefits include personalization beyond generic tools, fast sub-3-second responses, organized audit trails, and actionable insights. Ideal for fintech builders showcasing AI recommendation engines, cardholders seeking optimal cards, and n8n users learning advanced integrations with Telegram bots, Sheets databases, and GPT analysis.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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