AI-Powered Multilingual Restaurant Platform

AI Restaurant Platform — Freelancer Project Proposal
Project Overview

***ALL PREWRITTEN/GENERATED QUOTES WILL BE IGNORED***

We are building a modern AI-powered restaurant platform for restaurants in Canada (starting with Quebec).
The platform combines:
1. AI Receptionist (phone answering, reservations, ordering)
2. Online Ordering System
3. Restaurant Dashboard
4. Customer Messaging (SMS)
5. Delivery/POS Integrations (future-ready architecture)
The goal is to create a premium restaurant operating platform similar to:
• Loman AI (AI receptionist)
• UEAT (online ordering)
This project must be scalable SaaS architecture.

IMPORTANT ARCHITECTURE
The platform MUST support 2 different admin levels:
1. Platform Owner / Super Admin (MAIN ADMIN)
This is the master control panel for the SaaS owner.
2. Restaurant Admin Panel
Each restaurant has its own isolated dashboard/account.
The system must support multi-tenant SaaS architecture.


PHASE 1

1. AI Receptionist System
Features
The AI agent must:
• Answer incoming restaurant calls
• Speak naturally in:
o French (Quebec French)
o English
o Optional Spanish
• Handle interruptions naturally
• Ability to choose background noise
• Transfer calls to restaurant when needed
• Understand restaurant menu
• Answer FAQ:
o hours
o address
o parking
o allergens
o delivery zones
• Take pickup/delivery orders
• Take reservation requests(if activated)
• Send SMS confirmations
• Handle missed-call recovery SMS
Must support:
• cached voice snippets (most important feature while not sounding robotic)
• dynamic TTS fallback
• reusable prompts/templates
• webhook/API architecture

2. Online Ordering Website
Customer Features
Responsive ordering site
• Mobile-first
• Fast loading
• Restaurant branding/colors/logo
• Multiple menu categories
• Modifiers/options
• Cart system
• Pickup scheduling
• Delivery zones
• Promo codes
• Tips
• SMS order confirmation
• Stripe
QR Code ordering would be amazing

3. Restaurant Admin Dashboard
Features
Restaurant owner can:
• Edit menu
• Edit modifiers
• Change prices
• Enable/disable items
• View orders
• View call logs/transcripts
• View reservations
• Configure AI prompts
• Configure business hours
• Configure delivery zones
• Configure SMS templates
Analytics
• missed calls
• recovered calls
• order totals
• reservation counts
• AI performance metrics

4. Customer Database
Store:
• customer name
• phone
• order history
• reservation history
• language preference
Future-ready CRM structure required.

5. SMS System
SMS provider integration required.
Use cases:
• order confirmation
• reservation confirmation
• missed call recovery
• payment link (future)
• promotional campaigns (future)

6. Multi-Restaurant SaaS Architecture
System MUST support:
• multiple restaurants
• separate accounts
• isolated restaurant data
• subscription-ready architecture
This is NOT a single restaurant project.
So here I will just put some points without any structure:

-The systems should understand delivery radius, for example we cant deliver if delivery address is X km away.

-Latency needs to be very low.

-I think we should have this showup on android or ipad for the orders, and be able to print so connected to a receipt printer locally.

-Voice Caching Optimization
Developer must implement:
• reusable cached voice snippets
• reusable number chunks
• partial dynamic generation
• audio stitching system
Goal: reduce AI voice costs significantly.
1. Pre-generated Cached Audio
Developer must create reusable audio snippets for:
• digits 0-9
• common area codes
• common number chunks
• common phrases
Examples:
• "I have your number as"
• "Is that correct?"
• "five one four"
• "four three eight"
• "two two two"
• "nine zero three one"
These snippets should be generated once and reused.

2. Audio Stitching Engine
System must dynamically combine cached audio snippets together.
Example:
Cached clip 1: "I have your number as"
Cached clip 2: "five one four"
Cached clip 3: "two two two"
Cached clip 4: "nine zero three one"
Cached clip 5: "Is that correct?"
The backend should stitch clips together naturally with proper pauses.

3. Human Sounding Requirements
The stitched audio must:
• sound natural
• maintain same voice tone
• maintain same speed
• maintain same emotion
• include proper pauses
• avoid robotic digit-by-digit playback
Preferred formatting:
514 - 222 - 9031
NOT:
5 - 1 - 4 - 2 - 2 - 2 - 9 - 0 - 3 - 1


AI Knowledge System
The AI system must support:
• document uploads
• embeddings/vector search
• contextual retrieval
• restaurant-specific knowledge
• global knowledge base Show More