Prices are checked against each store and labelled with when.
It checks today's price at every store, compares the alternatives and answers in about a minute.
This n8n workflow automates the handling of finished voice calls by receiving a webhook, normalizing the payload, and using OpenAI to extract structured data such as caller name, intent, sentiment, and urgency. It logs calls to Google Sheets, marking them as urgent or unprocessable, and can send WhatsApp alerts for urgent calls. It suits businesses using voice agents that need real-time notifications and organized call logs without manual effort. Compared to building a custom integration, it offers a pre-built solution with AI-powered extraction and keyword-based urgency detection, though it requires n8n and API credentials.
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This n8n workflow turns each finished voice call into a record in Google Sheets and, optionally, a WhatsApp alert. It reads the end-of-call payload from your voice agent and decides whether the call is urgent.
The workflow starts with a POST webhook that fires when a call ends. The payload carries call metadata and an optional transcript and/or summary. It is normalized into consistent fields: call ID, end reason, transcript or summary text, and caller phone.
Calls that fail on known end reasons, such as missing usable text, are saved as "unprocessable" records. When text is available, OpenAI extracts structured facts: caller name and phone, intent, sentiment, urgency, summary, requested action, and any follow-up date. Urgency is classified from the model's urgency and sentiment plus keyword matching against your configured urgent keyword list. Each call is appended to Google Sheets as urgent or routine, and urgent call details can be sent to the owner by WhatsApp.