This n8n workflow automates customer order confirmations through AI-driven voice calls, intelligently managing timezone differences and calling hours to enhance customer engagement. It starts with an order webhook that triggers when a new order is received. The workflow first validates the order data to ensure customer contact details and order status are adequate. Next, it determines the customer’s timezone based on shipping address or phone number, and checks if the current local time falls within the designated calling hours (10 AM – 3 PM, local time, Monday to Friday). If call conditions are favorable, it initiates an AI-powered voice call using a text-to-speech service with a friendly script personalized with the customer’s local time greeting. The call includes confirmation of the order details, shipping address, and allows the customer to respond verbally. The setup listens for customer responses and call end signals, then processes the call transcript for confirmation or issues like complaints or order changes. Post-call, it updates the order status in a database, logs call metrics, and if necessary, schedules follow-up calls outside calling hours. The workflow also handles callbacks for scheduled calls and responds to webhooks from the AI voice platform, providing a full cycle of customer engagement with timezone sensitivity. Practical use cases include eCommerce order verification, appointment reminders, or customer satisfaction calls in a globally distributed customer base.
Timezone-Aware AI Voice Calling Workflow for Orders
Node Count | >20 Nodes |
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Nodes Used | airtable, code, emailSend, httpRequest, if, respondToWebhook, schedule, webhook |
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