Automate Expense Tracking and Reporting via WhatsApp with AI and PostgreSQL
Streamline your personal finance management by using WhatsApp to log expenses, powered by AI for natural language processing and PostgreSQL for data storage and reporting.
This workflow transforms WhatsApp into a comprehensive financial management tool by leveraging AI to interpret natural language messages and convert them into structured financial data. It automates the logging of transactions in a PostgreSQL database and provides instant financial insights and reports. Users can send messages like 'Spent 300 on groceries at Walmart' to automatically categorize and log expenses, while also receiving daily and custom reports directly through WhatsApp.
- Platform
- n8n
- Category
- Finance
- Price
- $19.99
- Creator
- Henrik Larsen
- code
- switch
- postgres
- splitOut
- stickyNote
- postgresTool
- convertToFile
- agent
- scheduleTrigger
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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