Contact person: Business Client

Phone:Show

Email:Show

Location: brossard, Canada

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Project: AI Phone Assistant for Restaurant Orders (ChatGPT Integration)

Overview:
I’m looking for a skilled developer to build an AI-powered phone assistant system for restaurants. The goal is to automate incoming calls for delivery and pickup orders, replacing the need for a human employee to answer the phone.

How it should work:

Incoming Call Integration:
When a customer calls the restaurant, the call will be automatically answered by an AI assistant (powered by ChatGPT or similar).
The AI will engage naturally with the caller to take their order (delivery or pickup).

Customer Recognition & Address Handling:
The system must detect the caller’s phone number.
If the number is new, the AI will ask for the customer’s address and details.
If the number is already in the database, the AI will repeat the saved address to confirm it.

Menu Integration:
The AI will have access to the restaurant’s live menu, prices, and item availability (through a connected database or API).
It must understand variations (e.g. crust type, toppings, drink size, etc.).

Order Confirmation & Printing:
After completing the order, the system will generate a receipt/order slip and print it automatically in the restaurant (through a connected printer or POS integration).
Optionally send a confirmation text or summary to the client.

Technical Requirements (flexible):
ChatGPT or equivalent LLM integration.
Twilio, Asterisk, or similar API for voice/call handling.
Database for storing customer profiles and order history.
Printer or POS connection (API, local, or cloud print).
Dashboard (optional) for restaurant admins to view/edit orders and menus.
Objective:
A fully automated phone ordering system that lets restaurants take orders 24/7, save labor costs, and reduce order errors — all through natural, human-like phone conversations.

Ideal Freelancer:
Experience with AI/voice automation (e.g., Twilio Voice, Whisper, or GPT-4 Voice).
Backend experience with databases (Firebase, SQL, etc.).
Experience integrating LLMs and external APIs.
Bonus: POS or printer integration experience." (client-provided description)