Power a restaurant customer service chatbot backend
A published walkthrough shows a restaurant chatbot that responds to customer inquiries through text and voice memos is powered by a Make.com workflow as the backend.
Comparing products, prices and delivery options is slow work for a human and fast work for an agent. Cases like this show agents doing the legwork before anything gets bought. It is one of 65 sightings filed under Shopping on Agent Sightings (number 55 by interest), and one of 10 involving Make.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Make or any similar agent and adjust the details to your situation.
Shopping task: power a restaurant customer service chatbot backend. Collect order/policy details, prepare exact steps, and pause before submit or payment.
Tip: Ask the agent to stop before checkout and show you the final basket, price and delivery date before you confirm.
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