WhatsApp AI Ordering for a Restaurant Chain
We built an AI WhatsApp ordering system for a multi-branch restaurant chain in Pakistan. Customers order by text or voice note, every price is checked against the menu, and confirmed orders reach the branch, the dashboard and the POS automatically, with watchdogs that catch anything that stalls.
At a glance
- Client
- Multi-branch restaurant chain
- Industry
- Restaurant chain
- Location
- Pakistan
- Type
- WhatsApp Chatbot Automation
- Automations
- 13
- SLA check
- Every 2 min
- Failed runs sampled
- 0
The challenge
What problem did the client have?
WhatsApp orders were answered by hand, so replies were slow at peak time, prices were quoted inconsistently and every order had to be typed again into the POS. Abandoned chats and late deliveries went unnoticed.
The solution
What did we build?
We built 13 automations on n8n and the WhatsApp Business API. An AI agent takes the order from the branch’s own menu, prices are verified before confirming, and the confirmed order fans out to managers, the dashboard and QuickBill — while watchdogs catch anything that stalls.
Features
Everything that shipped
AI WhatsApp ordering
- Replies automatically, using each branch’s menu and settings
- Voice notes transcribed and understood like text messages
- Sends the menu PDF when a customer asks for it
- Every price checked against the menu before an order is confirmed
Order handling
- Confirmed orders sent to branch managers and logged on the dashboard
- Forwarded into the QuickBill POS, with duplicate and unmapped-item checks
- Manual orders accepted from the dashboard too
Delivery
- Rider assignment from the dashboard
- Delivery OTP sent to the customer on WhatsApp
- Duplicate assignments and repeat notifications blocked
Watchdogs
- Stalled orders escalated every 2 minutes
- Idle-browse nudges to customers who stopped mid-order
- Abandoned orders swept and logged every 30 minutes
- Every inbound message logged; failures alert the team
Marketing & win-back
- WhatsApp template campaigns sent in batches, with opt-outs honoured
- Customer segments and Meta template sync on the dashboard
- Number quality rating monitored
- Paper feedback forms read by AI vision to start win-back messages
Voice ordering
- AI voice agent that takes orders by phone and sends them to the same flow
How it flows
How the system works
Dashboard screenshots coming soon. “0 failed runs” is from a sample of up to 100 recent runs per workflow on 21 August 2026.
- WhatsApp text or voice note
- AI agent + menu
- Price verified
- Managers & dashboard
- QuickBill POS
Tech stack
Built with
- n8n
- WhatsApp Business API
- OpenAI
- QuickBill POS
- Vapi voice
Services used
Which services went into this project?
FAQ
Questions about this project
Thirteen, built on n8n and the WhatsApp Business API. They cover AI replies, order handling, POS forwarding, delivery, watchdogs, campaigns and voice ordering.
Every price in an order is checked against the branch’s menu before the order is confirmed to the customer.
Stalled orders are escalated every 2 minutes, customers who stop mid-order get a nudge, abandoned orders are swept and logged every 30 minutes, and failures alert the team.
Yes. An AI voice agent takes orders by phone and sends them into the same flow as WhatsApp orders.
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