I’m working on a SaaS product for the e-commerce segment, and I’m facing difficulties sending files through a webhook to GPT-4.
Context:
Our automations are locally hosted webhooks.
The webhooks send data to GPT-4, and the response is sent back to the webhook (Respond to Webhook) to display the analysis on the frontend.
The goal is to process and analyze sales data from a spreadsheet (sales analytics).
Problem:
Currently, GPT-4 suggests transforming the data into CSV before sending, but this approach is not practical. Even with just ~500 rows (which we consider relatively small), the process takes more than 10 minutes to complete.
Question:
Has anyone found a more efficient way to send structured data from n8n webhooks to GPT-4 for analysis? Ideally, I’m looking for a simpler, faster approach to handle sales spreadsheets without long delays.
Thanks in advance for any insights!way to find solutions is by using the 
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Information on your n8n setup
- n8n version:lastest
- Database (default: SQLite):default
- n8n EXECUTIONS_PROCESS setting (default: own, main):default
- Running n8n via (Docker, npm, n8n cloud, desktop app): auto host desktop by cmd
- Operating system: w11
