AI-Powered Restaurant Order Automation Agent

For whatsapp:

Demo Video Link: 🔗 Video Link Project Demo

For website:

Technology Document

1. Project Scope & Deliverables (The "What")

Project Name

AI-Powered Restaurant Order and Logistics Agent (RestoPulse AI)

Problem Statement

Local restaurants face high operational costs, high error rates in phone orders, and difficulty managing peak-hour order volume. This AI-powered automation system streamlines operations, reduces human error, and significantly improves the customer experience. The solution delivers rapid ROI by automating the entire order cycle—from customer inquiry to delivery.

Core Goal

To automate the entire customer order lifecycle including:

Smart Order Booking (with Inventory Validation)
Order Modification & Cancellation
Real-time Order Status Tracking
Complaint Resolution & Escalation
Automated Rider Dispatch
Feedback Collection

The system uses AI and automation tools, enabling seamless interaction via WhatsApp, with backend orchestration through n8n workflows.

Target Users

User Type	Interaction Method	Purpose
Restaurant Customers	WhatsApp (Text/Voice)	Place orders, modify, cancel, check status, complaints
Kitchen Staff	Email + Google Sheets	Order fulfillment, status updates
Riders	WhatsApp/SMS	Delivery assignments and instructions
Restaurant Manager	WhatsApp Alerts + Email	Escalations, alerts, daily reports

Tech Stack (Implemented)

Component	Technology	Status
Orchestration	n8n (Deployed on AWS Server)	✅ Deployed
AI Logic	OpenAI GPT-5	✅ Implemented
Database	Google Sheets (Menu, Inventory, Orders, Config, Riders, Complaints, Feedback)	✅ Implemented
Messaging	Twilio WhatsApp API	✅ Implemented
Voice Processing	OpenAI Whisper	✅ Implemented
Email Notifications	Gmail API	✅ Implemented
Website Integration	Embeddable Chat Widget (Any Restaurant Website)	✅ Ready

🌐 Multi-Channel Integration

The system supports multiple input channels, making it versatile for any restaurant:

┌─────────────────────────────────────────────────────────────────┐
│                    MULTI-CHANNEL INPUT                          │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│   📱 WhatsApp          💻 Website Chat         🌐 Web API       │
│   (Twilio)             (Embeddable Widget)     (REST Endpoint)  │
│       │                      │                       │          │
│       └──────────────────────┼───────────────────────┘          │
│                              ▼                                   │
│                    ┌─────────────────┐                          │
│                    │  n8n WEBHOOK    │                          │
│                    │  (Unified Entry)│                          │
│                    └────────┬────────┘                          │
│                             ▼                                    │
│                    ┌─────────────────┐                          │
│                    │ WORKFLOW 1-4    │                          │
│                    │ (Same Logic)    │                          │
│                    └─────────────────┘                          │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘

Website Integration Features:

Embeddable chat widget for any restaurant website
Same AI agent handles both WhatsApp and website orders
Unified order management in Google Sheets
No code changes required for different restaurants

🌐 Live Demo

Demo Website: https://chaman.bolt.host/

This demo showcases how the AI chatbot integrates with a restaurant website for real-time ordering.

2. Complete Project Workflow Architecture

The project consists of 4 interconnected workflows orchestrated through n8n and powered by Google Sheets as the central database.

┌─────────────────────────────────────────────────────────────────────────────┐
│                         RESTOPULSE AI ARCHITECTURE                          │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                              │
│    📱 CUSTOMER (WhatsApp)                                                   │
│           │                                                                  │
│           ▼                                                                  │
│    ┌─────────────────────────────────────────────────────────────────┐      │
│    │                    TWILIO WEBHOOK                                │      │
│    │                 (Text + Voice Notes)                             │      │
│    └───────────────────────────┬─────────────────────────────────────┘      │
│                                │                                             │
│                                ▼                                             │
│    ┌─────────────────────────────────────────────────────────────────┐      │
│    │                   INTENT DETECTION (OpenAI)                      │      │
│    │         ORDER | MODIFY | CANCEL | STATUS | COMPLAINT | CHAT      │      │
│    └───────────────────────────┬─────────────────────────────────────┘      │
│                                │                                             │
│         ┌──────────────────────┼──────────────────────┐                     │
│         │                      │                      │                     │
│         ▼                      ▼                      ▼                     │
│  ┌──────────────┐    ┌──────────────┐      ┌──────────────┐                │
│  │ WORKFLOW 1   │    │ WORKFLOW 2   │      │ WORKFLOW 3   │                │
│  │ ORDER/MODIFY │    │  COMPLAINT   │      │    RIDER     │                │
│  │ CANCEL/STATUS│    │   SYSTEM     │      │  DISPATCH    │                │
│  └──────┬───────┘    └──────┬───────┘      └──────┬───────┘                │
│         │                   │                      │                        │
│         └───────────────────┼──────────────────────┘                        │
│                             │                                                │
│                             ▼                                                │
│                    ┌──────────────┐                                         │
│                    │ WORKFLOW 4   │                                         │
│                    │  FEEDBACK    │                                         │
│                    │ COLLECTION   │                                         │
│                    └──────────────┘                                         │
│                                                                              │
│    ┌─────────────────────────────────────────────────────────────────┐      │
│    │                    GOOGLE SHEETS DATABASE                        │      │
│    │   Menu | Inventory | Orders | Riders | Complaints | Feedback    │      │
│    └─────────────────────────────────────────────────────────────────┘      │
│                                                                              │
└─────────────────────────────────────────────────────────────────────────────┘

3. Workflow Details

3.1. 🟢 Workflow 1: ORDER / MODIFY / CANCEL / STATUS (The Chatbot Agent)

Status: ✅ FULLY IMPLEMENTED

Trigger

Incoming message from customer on WhatsApp (via Twilio Webhook) - supports both text and voice notes in Urdu and English.

Intent Handling

Intent	Description	Implementation Status
ORDER	New order placement	✅ Implemented
MODIFY	Change existing order	✅ Implemented
CANCEL	Cancel existing order	✅ Implemented
STATUS	Check order status	✅ Implemented
CHAT	General inquiries	✅ Implemented

Step-by-Step Flow

┌────────────────────────────────────────────────────────────────────────┐
│                    WORKFLOW 1: ORDER LIFECYCLE                          │
└────────────────────────────────────────────────────────────────────────┘

[WhatsApp Message] → [Voice Note?]
                          │
         ┌────────────────┴────────────────┐
         ▼ YES                             ▼ NO
   [STT: Whisper API]                 [Text Direct]
         │                                  │
         └──────────────┬──────────────────┘
                        ▼
                [Shop Status Check]
                        │
         ┌──────────────┴──────────────┐
         ▼ CLOSED                      ▼ OPEN
   [Send Closed Msg]            [Intent Detection AI]
                                        │
              ┌───────────┬─────────────┼─────────────┬───────────┐
              ▼           ▼             ▼             ▼           ▼
           [ORDER]    [MODIFY]      [CANCEL]      [STATUS]     [CHAT]
              │           │             │             │           │
              ▼           ▼             ▼             ▼           ▼
        [AI Agent:   [AI Agent:   [AI Agent:   [Find Order]  [AI Reply]
         New Order]   Modify]      Cancel]          │
              │           │             │            ▼
              │           │             │      [Status Msg]
              ▼           ▼             ▼
        [Inventory Check & Validation]
              │
              ▼
        [Order Confirmed?]
              │
    ┌─────────┴─────────┐
    ▼ NO                ▼ YES
[Re-prompt]       [Log to Sheets]
                        │
              ┌─────────┴─────────┐
              ▼                   ▼
    [Customer WhatsApp]     [Kitchen Email]
    [Confirmation]          [Notification]

ORDER Flow Implementation

Step 1: Input Processing

Voice notes processed via OpenAI Whisper (Twilio integration)
Text messages passed directly
Implemented in: EXTRACT_MESSAGE_DATA_TWILIO.js

Step 2: Shop Status Validation

Reads System_Config for shop open/closed status
Time-based validation
If closed: Auto-reply "We are currently offline"
Implemented in: 03_SHOP_STATUS_CHECK.js

Step 3: AI Agent & RAG

OpenAI GPT acts as polite virtual waiter (Urdu/English)
Uses Google Sheets as RAG knowledge base (Menu, Prices, Timings)
Entity extraction: Items, Quantity, Address, Phone, Payment Method
Implemented in: FULL-AI-AGENT-MERGED-PROMPT.md

Step 4: Inventory Validation

Real-time inventory check before order confirmation
Status handling:
- Available: Proceed with order
- Ingredients Finished: Suggest alternative
- Kitchen Overload: Warn about delay (15-20 min)
- Discontinued: Suggest alternative

Step 5: Order Logging

Creates new row in Orders sheet
Auto-generated Order_ID (ORD-timestamp format)
Status: "Booked"
Implemented in: 06_PARSE_AI_OUTPUT.js

Step 6: Notifications

Customer: WhatsApp confirmation via Twilio

"Your order is booked! Order #ORD-20251218123456. 
 Total: Rs. 1,250. Status: Booked. Thank you!"

Kitchen: Email notification via Gmail with order details and Sheet link

MODIFY Flow Implementation

Trigger: Customer says "modify", "change", "add karo", etc.

Steps:

Show existing order(s) for customer
Present modification options:
- Add new items
- Remove items
- Change address
- Change payment method
Calculate new total (Original + New Items + Delivery)
Confirmation keyword: MODIFY OK
Update order in Google Sheets

Implemented in: FULL-AI-AGENT-MERGED-PROMPT.md

CANCEL Flow Implementation

Trigger: Customer says "cancel", "cancel karo", etc.

Steps:

Show cancellable orders (status = "Booked")
Customer selects Order ID
Confirmation keyword: XCANCEL
Update order status to "Cancelled"

Implemented in: CANCEL-AI-AGENT-PROMPT.json

STATUS Flow Implementation

Trigger: Customer asks "where is my order?", "order kahan hai", etc.

Steps:

Lookup orders by customer phone number
Return most recent order status with contextual message:
- Booked: "Order received, preparing in 15-20 minutes"
- Ready: "Order ready, rider being assigned"
- In Transit: "On the way! Rider: [Name], Contact: [Number]"
- Delivered: "Order delivered! Please share feedback"
- Cancelled: "Order was cancelled"

Implemented in: 10_STATUS_FIND_ORDER.js

3.2. 🔴 Workflow 2: COMPLAINT System

Status: ✅ FULLY IMPLEMENTED

Trigger

LLM detects COMPLAINT intent or negative sentiment keywords.

Flow Diagram

┌────────────────────────────────────────────────────────────────────────┐
│                    WORKFLOW 2: COMPLAINT HANDLING                       │
└────────────────────────────────────────────────────────────────────────┘

[COMPLAINT Intent Detected]
           │
           ▼
   [Complaint AI Agent]
           │
           ▼
   [Collect Information]
   • Receipt ID (or unknown)
   • Items with issue
   • Date of purchase
   • Time of purchase
   • Customer name
   • Issue description
           │
           ▼
   [Customer sends: XREPORT]
           │
           ▼
   [Determine Severity]
      │         │         │
      ▼         ▼         ▼
   [HIGH]    [MEDIUM]   [LOW]
      │         │         │
      │         └────┬────┘
      │              │
      ▼              ▼
[Manager Alert]  [Log Only]
[Urgent SMS]
      │              │
      └──────┬───────┘
             ▼
   [Log to Complaints Sheet]
   • Ticket_ID (TKT-timestamp)
   • Order_ID
   • Items
   • Date, Time
   • Customer_Name, Phone
   • Complaint Description
   • Severity
   • Status: Open
             │
             ▼
   [Send Acknowledgment]
   "Ticket #TKT-xxx registered.
    Manager will contact within 30 mins."

Implementation Details

Severity Classification:

Severity	Keywords	Action
High	lizard, insect, cockroach, food poisoning, sick, hospital, foreign object	Immediate manager alert
Medium	cold food, wrong item, missing items, late delivery, stale, raw	Log for daily review
Low	packaging, portion size, staff attitude, rude	Log for analysis

Confirmation Keyword: XREPORT

Implemented in:

COMPLAINT-AI-AGENT-PROMPT.json
11_COMPLAINT_PARSE.js

3.3. 🟡 Workflow 3: Rider Assignment & Logistics

Status: ✅ FULLY IMPLEMENTED

Trigger

Google Sheets trigger when Order Status changes from "Booked" → "Ready" (Kitchen staff update)

Flow Diagram

┌────────────────────────────────────────────────────────────────────────┐
│                    WORKFLOW 3: RIDER DISPATCH                           │
└────────────────────────────────────────────────────────────────────────┘

[Trigger: Status = "Ready"]
           │
           ▼
   [Query Rider Sheet]
   [Find Available Riders]
           │
    ┌──────┴──────┐
    ▼             ▼
[Rider Found]  [No Rider]
    │             │
    ▼             ▼
[Select Rider] [Alert Manager]
[By Priority]  [Manual Assignment]
    │
    ▼
[Update Rider Sheet]
• Status: "Assigned"
• Order_ID: linked
    │
    ▼
[Update Order Sheet]
• Status: "In Transit"
• Rider_Name
• Rider_Contact
    │
    ├─────────────────────┐
    ▼                     ▼
[Rider Notification]  [Customer Notification]
WhatsApp/SMS:         WhatsApp:
• Customer address    • "Order is with rider!"
• Customer contact    • Rider Name: [Name]
• Payment method      • Contact: [Number]
• Order details       • ETA: 20-30 mins

Rider Sheet Structure

Column	Description
Rider_ID	Unique identifier
Rider_Name	Display name
Phone	Contact number
Status	Available / Assigned / Off-Duty
Current_Order_ID	Linked order (if assigned)
Deliveries_Today	Count for prioritization
Last_Updated	Timestamp

Rider Priority Logic

Assign rider with fewest deliveries today (workload balancing)
If equal, assign by availability timestamp (FIFO)

3.4. 🟣 Workflow 4: Order Closure & Feedback

Status: ✅ FULLY IMPLEMENTED

Trigger

Google Sheets trigger when Order Status changes from "In Transit" → "Delivered"

Flow Diagram

┌────────────────────────────────────────────────────────────────────────┐
│                    WORKFLOW 4: FEEDBACK COLLECTION                      │
└────────────────────────────────────────────────────────────────────────┘

[Trigger: Status = "Delivered"]
           │
           ▼
   [Update Rider Sheet]
   • Status: "Available"
   • Clear Order_ID
   • Increment Deliveries_Today
           │
           ▼
   [Send Feedback Request]
   WhatsApp/SMS to Customer:
   "Thank you for choosing us! 🙏
    Please share your feedback:
    [Feedback Link]"
           │
           ▼
   [Customer Submits Feedback]
           │
           ▼
   [Log to Feedback Sheet]
   • Order_ID
   • Customer_Phone
   • Rating (1-5)
   • Comments
   • Timestamp

Feedback Sheet Structure

Column	Description
Feedback_ID	Auto-generated
Order_ID	Linked order
Customer_Phone	For reference
Rating	1-5 stars
Comments	Customer feedback text
Timestamp	Submission time
Resolved	TRUE/FALSE

4. Google Sheets Database Structure

Overview

Sheet Tab	Purpose	Status
Menu	Item catalog with prices	✅ Implemented
Inventory	Stock status per item	✅ Implemented
Orders	All order transactions	✅ Implemented
System_Config	Shop settings	✅ Implemented
Riders	Rider management	✅ Implemented
Complaints	Issue tracking	✅ Implemented
Feedback	Customer reviews	✅ Implemented

4.1. Menu Sheet

Column	Type	Example
Item_ID	String	ITEM001
Item_Name	String	Chicken Zinger Burger
Category	String	Burgers
Price	Number	450
Description	String	Crispy chicken with special sauce
Available	Boolean	TRUE

4.2. Inventory Sheet

Column	Type	Example
Item_ID	String	ITEM001
Item_Name	String	Chicken Zinger Burger
Status	String	Available / Ingredients Finished / Kitchen Overload / Discontinued
Stock_Level	Number	25
Alternative_Item_ID	String	ITEM002
Last_Updated	DateTime	2025-12-18 17:30:00

4.3. Orders Sheet

Column	Description
Order_ID	Auto-generated (ORD-timestamp)
Order_Time	ISO timestamp
Customer_Phone	WhatsApp number
Profile_Name	WhatsApp profile name
Customer_Name	Name from order
Items	Ordered items (JSON/text)
Total_Amount	Total in PKR
Delivery_Address	Delivery location
Payment_Method	Cash / Online
Special_Instructions	Customer notes
Status	Booked / Ready / In Transit / Delivered / Cancelled
Rider_Name	Assigned rider (if applicable)
Rider_Contact	Rider phone

4.4. System_Config Sheet

Setting_Name	Setting_Value
Shop_Status	Open / Closed
Restaurant_Name	Your Restaurant Name
Kitchen_Email	kitchen@example.com
Manager_Phone	+92300XXXXXXX
Opening_Time	11:00 AM
Closing_Time	11:00 PM
Delivery_Fee	150
Min_Order_Amount	500

4.5. Complaints Sheet

Column	Description
Ticket_ID	TKT-timestamp
Order_ID	Related order (if known)
Items	Items with issue
Date	Purchase date
Time	Purchase time
Customer_Name	Complainant name
Phone	Contact number
Complaint	Issue description
Severity	High / Medium / Low
Status	Open / In Progress / Resolved / Closed

5. Implemented Features Summary

✅ Core Features (Fully Implemented)

Feature	Implementation
WhatsApp Text Messages	Twilio Webhook → n8n
Voice Note Transcription	OpenAI Whisper
Intent Detection (6 types)	OpenAI + Switch Node
ORDER Flow	Full AI Agent with memory
MODIFY Flow	Integrated AI Agent
CANCEL Flow	Dedicated Cancel Agent (XCANCEL)
STATUS Flow	Order lookup by phone
COMPLAINT Flow	Complaint Agent (XREPORT) + Severity
Inventory Validation	Real-time check + alternatives
Entity Extraction	LLM-based extraction
Order Logging	Google Sheets append
Customer Notifications	Twilio WhatsApp
Kitchen Notifications	Gmail API
Shop Open/Closed Toggle	System_Config
Multilingual (Urdu/English)	AI language detection
Contextual Upselling	AI suggestions

✅ Additional Features (Fully Implemented)

Feature	Status
Workflow 3: Rider Dispatch	✅ Fully operational
Workflow 4: Feedback Collection	✅ Fully operational
Rider Priority Logic	✅ Implemented
Daily Sales Report	✅ Implemented

📋 Future Enhancements

Feature	Description	Priority
📞 Phone Call Ordering	Voice-based ORDER/MODIFY/CANCEL/STATUS via phone calls in English and any language based on restaurant owner's requirement	High
🎤 Website Voice Notes	Voice note support in the website chat widget (currently text-based, future will include voice input)	High
🌍 Multi-Language Voice Support	Customizable language support for phone calls based on restaurant's customer base (Arabic, Urdu, Hindi, etc.)	Medium
📊 Order Tracking Web UI	Web interface for customers to track order status in real-time	Medium
📈 Analytics Dashboard	Business intelligence dashboard with sales trends, peak hours, popular items	Low
🏪 Multi-Restaurant Support	Single system managing multiple restaurant locations	Low

📞 Phone Call Ordering (Planned)

┌─────────────────────────────────────────────────────────────────────────┐
│                    FUTURE: PHONE CALL INTEGRATION                        │
├─────────────────────────────────────────────────────────────────────────┤
│                                                                          │
│   📱 WhatsApp     💻 Website Chat    📞 Phone Call     🌐 Web API       │
│   (Text/Voice)   (Text → Voice)    (Voice Only)      (REST)            │
│       │                │                │                │              │
│       └────────────────┼────────────────┼────────────────┘              │
│                        ▼                ▼                                │
│               ┌─────────────────────────────────┐                       │
│               │     n8n UNIFIED WEBHOOK         │                       │
│               │   (All Channels → Same Logic)   │                       │
│               └─────────────────────────────────┘                       │
│                                                                          │
│   Features:                                                              │
│   • Real-time voice conversation via Twilio Voice API                   │
│   • Speech-to-Text for customer input (OpenAI Whisper)                  │
│   • Text-to-Speech for AI responses                                     │
│   • Same ORDER/MODIFY/CANCEL/STATUS logic                               │
│   • Language configurable per restaurant owner                          │
│                                                                          │
└─────────────────────────────────────────────────────────────────────────┘

🎤 Website Voice Notes (Planned)

The current website chat widget is text-based only. Future enhancement will add:

Voice recording button in chat widget
Voice note upload and transcription
Same AI agent processing as WhatsApp voice notes
Seamless fallback to text if voice fails

6. Error Handling & Fallbacks

Scenario	Fallback Action
No rider available	Alert to Manager WhatsApp/SMS
Kitchen email fails	SMS alert to Manager
API timeout	Retry mechanism + error log
Invalid customer input	AI re-prompts politely
Inventory unavailable	Suggest alternatives
Shop closed	Auto-reply with hours
High severity complaint	Immediate manager escalation

7. Deployment & Infrastructure

☁️ AWS Cloud Deployment

The combined workflow system is deployed on AWS Server supporting both WhatsApp and Website integration:

┌─────────────────────────────────────────────────────────────────────────────┐
│                         AWS CLOUD DEPLOYMENT                                 │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                              │
│                           ┌─────────────────┐                               │
│                           │   AWS SERVER    │                               │
│                           │  (EC2 Instance) │                               │
│                           └────────┬────────┘                               │
│                                    │                                         │
│              ┌─────────────────────┼─────────────────────┐                  │
│              │                     │                     │                  │
│              ▼                     ▼                     ▼                  │
│   ┌─────────────────┐   ┌─────────────────┐   ┌─────────────────┐          │
│   │  n8n WORKFLOW   │   │  n8n WORKFLOW   │   │  WEBHOOK        │          │
│   │  (WhatsApp)     │   │  (Website)      │   │  ENDPOINTS      │          │
│   └────────┬────────┘   └────────┬────────┘   └────────┬────────┘          │
│            │                     │                     │                    │
│            └─────────────────────┼─────────────────────┘                    │
│                                  │                                           │
│                                  ▼                                           │
│                    ┌──────────────────────────┐                             │
│                    │   UNIFIED AI AGENT       │                             │
│                    │   (OpenAI GPT-5)         │                             │
│                    │   ORDER/MODIFY/CANCEL/   │                             │
│                    │   STATUS/COMPLAINT       │                             │
│                    └──────────────────────────┘                             │
│                                                                              │
└─────────────────────────────────────────────────────────────────────────────┘

Deployment Architecture

Component	Deployment Location	Status
n8n Workflow Engine	AWS EC2 Server	✅ Deployed
WhatsApp Integration	Twilio → AWS Webhook	✅ Live
Website Chat Integration	Any Website → AWS Webhook	✅ Ready
AI Agent (OpenAI)	Cloud API (OpenAI)	✅ Active
Database	Google Sheets (Cloud)	✅ Active
Email Notifications	Gmail API	✅ Active

Webhook Endpoints (AWS)

Channel	Endpoint	Purpose
WhatsApp	`https://[aws-server]/webhook/whatsapp`	Receives Twilio WhatsApp messages
Website	`https://[aws-server]/webhook/website-chat`	Receives website chat messages
API	`https://[aws-server]/webhook/api`	REST API for custom integrations

API Credentials Required

Service	Purpose
OpenAI API	AI conversations (GPT-5)
OpenAI Whisper	Voice transcription
Twilio WhatsApp	Messaging
Google Sheets API	Database
Gmail API	Kitchen emails
AWS EC2	Server hosting

8. Conclusion

This AI-Powered Restaurant Order Automation Agent delivers a comprehensive solution covering:

🟢 Workflow 1: Complete ORDER/MODIFY/CANCEL/STATUS handling with conversational AI
🔴 Workflow 2: Intelligent COMPLAINT system with severity-based escalation
🟡 Workflow 3: Automated RIDER dispatch with priority logic
🟣 Workflow 4: FEEDBACK collection for continuous improvement

The system demonstrates:

Robustness: Input validation, error handling, fallbacks
Professionalism: Multilingual support, contextual responses
Efficiency: Real-time inventory, automated workflows
Scalability: Google Sheets + n8n architecture

Current Implementation Status:

Workflows 1, 2, 3 & 4: ✅ Fully operational and deployed on AWS

Document Version: 2.0
Last Updated: December 18, 2025
Based on actual implementation in codebase

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
Costing_estimation.md		Costing_estimation.md
Demo_video_link.md		Demo_video_link.md
LICENSE		LICENSE
README.md		README.md
🟡 Workflow combined for whatsapp (1).json		🟡 Workflow combined for whatsapp (1).json
🟡 Workflow for combined website.json		🟡 Workflow for combined website.json

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AI-Powered Restaurant Order Automation Agent

Technology Document

1. Project Scope & Deliverables (The "What")

Project Name

Problem Statement

Core Goal

Target Users

Tech Stack (Implemented)

🌐 Multi-Channel Integration

🌐 Live Demo

2. Complete Project Workflow Architecture

3. Workflow Details

3.1. 🟢 Workflow 1: ORDER / MODIFY / CANCEL / STATUS (The Chatbot Agent)

Trigger

Intent Handling

Step-by-Step Flow

ORDER Flow Implementation

MODIFY Flow Implementation

CANCEL Flow Implementation

STATUS Flow Implementation

3.2. 🔴 Workflow 2: COMPLAINT System

Trigger

Flow Diagram

Implementation Details

3.3. 🟡 Workflow 3: Rider Assignment & Logistics

Trigger

Flow Diagram

Rider Sheet Structure

Rider Priority Logic

3.4. 🟣 Workflow 4: Order Closure & Feedback

Trigger

Flow Diagram

Feedback Sheet Structure

4. Google Sheets Database Structure

Overview

4.1. Menu Sheet

4.2. Inventory Sheet

4.3. Orders Sheet

4.4. System_Config Sheet

4.5. Complaints Sheet

5. Implemented Features Summary

✅ Core Features (Fully Implemented)

✅ Additional Features (Fully Implemented)

📋 Future Enhancements

📞 Phone Call Ordering (Planned)

🎤 Website Voice Notes (Planned)

6. Error Handling & Fallbacks

7. Deployment & Infrastructure

☁️ AWS Cloud Deployment

Deployment Architecture

Webhook Endpoints (AWS)

API Credentials Required

8. Conclusion

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