Restaurant AI OrderingAssistant
Take delivery and takeaway orders by chat or phone around the clock, with menu knowledge, modifiers handled correctly and tickets sent to the kitchen.
Restaurant AI Ordering Assistant: what the work involves
At peak hour, the phone rings while the counter is queued and the WhatsApp number is buzzing. Staff scribble orders, mishear modifiers such as no onions or extra spicy, and forget to ask whether a deal includes a drink. Missed calls are missed revenue, and each wrong order becomes a refund, a bad review and a driver sent back across town.
DevKey builds an ordering assistant that knows your menu, deals and delivery zones. Customers type or speak naturally, in English, Urdu or a mix, and the assistant builds the basket, asks about sizes and modifiers, confirms the address and reads the order back before sending. Tickets go to your POS or kitchen display, payment links or cash-on-delivery are handled according to your rules, and status updates follow. Complaints and unusual requests go to a staff member.
Core features
Menu and deal understanding
Items, variants, combos and availability are loaded from your menu, so the assistant can answer questions and apply deals correctly.
Modifier and allergy capture
Customisations are recorded as structured fields on the ticket, and allergy mentions are highlighted for the kitchen and flagged for human confirmation.
Voice and chat channels
The same ordering logic runs on WhatsApp, the website chat and a phone line, so customers choose their preferred way.
Address and zone checks
Delivery areas, minimum orders and fees are verified up front, and unclear addresses are clarified before the order is accepted.
POS and kitchen integration
Confirmed orders are sent as tickets to your POS, printer or kitchen display with the right branch and timing.
Order status updates
Customers receive confirmation, preparation and dispatch messages, and can ask where their order is without calling.
What we get right before launch
Order accuracy is the product
A single misheard item costs more than the labour saved. We read back every order, require an explicit confirmation, and review mistaken-order logs to adjust menu vocabulary and prompts.
Allergies and health claims
The assistant should never declare a dish safe for an allergy on its own. It passes the information to staff and uses only ingredient data you have confirmed.
Peak-time reliability and fallbacks
A bot that fails during the dinner rush is worse than none. We load test, monitor the channels, and provide a simple switch that forwards conversations to staff if anything breaks.
Tools and technology
- OpenAI GPT
- OpenAI Realtime API
- WhatsApp Business API
- Twilio Voice
- Node.js
- PostgreSQL
- Foodics and POS APIs
- n8n
- Docker
Common questions, answered
Which POS systems can it connect to?
Systems with open APIs are straightforward, such as Foodics, Square or Toast. Others may need an intermediary or printer-based tickets. We check integration options for your POS during scoping.
Can it take phone calls?
Yes, with a voice channel built on speech recognition and synthesis. Phone orders in noisy kitchens and mixed Urdu-English are harder than chat, so we test on real calls and keep a staff fallback.
Does it upsell?
It can suggest a drink or side based on rules you set, such as meals without a beverage. We keep suggestions occasional and relevant, and you can switch them off if customers find them pushy.
How does it handle payments?
Cash-on-delivery is recorded on the ticket, and online payments use a secure link from your payment provider. The assistant never collects card numbers in chat.
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Ready to start your Restaurant AI Ordering Assistant project?
Tell us what you need and we will come back with a clear scope, timeline and the questions worth answering before any build starts.