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🛒 14All (Local Grocery Ordering Platform)

An AI-powered hyperlocal marketplace connecting customers with nearby kirana stores using real-time order intelligence and WhatsApp-powered communication "Vocal for Local" marketplace boosting neighborhood commerce through predictive business analytics, real-time service tracking, civic reporting, and hyper-local community engagement.

Python HTML CSS JavaScript Status
🚀 Live Demo
🌐 Customer Flow: customer.html
🌐 Shopkeeper Dashboard: shopkeeper.html

📌 Overview
Local Grocery Ordering Platform is a lightweight hyperlocal commerce demo that combines:
🛍 Nearby shop discovery
📦 Real-time cart & ordering
📲 WhatsApp integration (click-to-chat)
🧪 Shopkeeper order simulation
📍 Location-based shop listing

Users can:
Browse shops near their area
View products with prices & quantity controls
Add items to cart
Checkout with UPI ID display
Receive order confirmation with success animation

Shopkeepers can:
See incoming orders slide in automatically
Accept or reject orders
Hear sound alerts on new orders
View all order history

✨ Features

🛍 Nearby Shop Discovery

The platform displays 3 mock kirana stores with:
Shop name & address
Distance from user (in km)
Star rating
“View Store” button

📦 Product Browsing & Cart

Each shop detail page shows product cards with:
Product name & price
Emoji / colored placeholder image
Add (+), quantity counter, and minus (-) buttons
Cart badge updates in real time with bounce animation

🧾 Checkout with UPI Display

The checkout screen shows:
Pre-filled delivery address (editable)
UPI ID of the shopkeeper (e.g. ramesh@paytm)
Green “Place Order” button
On success:
✅ Checkmark animation
🎉 “Order Placed!” with order ID & delivery time
📞 “Call Shop” button (mock)
📲 WhatsApp Click-to-Chat
Every shop detail page includes a “Chat on WhatsApp” button that opens:
https://wa.me/91XXXXXXXXXX?text=Hi...
No API needed – works immediately on any device.
🧪 Shopkeeper Dashboard (Demo)
The dashboard simulates real-time order inflow:
Orders arrive every 5 seconds with a slide-in animation
Each card shows customer name, items, total, and address
Accept (✅) and Reject (❌) buttons
Sound notification using Web Audio API
Empty state when no orders remain

🖥 Frontend

Built using:

  • HTML5
  • CSS3
  • Vanilla JavaScript

Frontend features:

  • Mobile-first responsive design (360px base)
  • Soft green/white glassmorphism theme
  • Rounded corners, subtle shadows, smooth transitions
  • Floating cart icon with badge
  • Bottom navigation bar (Home, Cart, Orders, Profile)
  • Loading spinners & empty state messages

⚙ Backend

Currently a mock frontend-only demo.

Planned future backend:

  • Python (Flask) or Node.js
  • Real-time order push via WebSockets
  • Twilio WhatsApp Business API for automated notifications
  • User authentication via phone OTP

🧠 Tech Stack

Technology Purpose
HTML5 / CSS3 Frontend structure & styling
Vanilla JavaScript App logic & navigation
Web Audio API New order notification beep
OpenStreetMap (planned) Live shop location mapping
Twilio API (planned) WhatsApp order notifications
Render / Vercel (future) Deployment

📂 Project Structure

local-grocery-platform/
│
├── customer.html     # Customer ordering flow (single file)
├── shopkeeper.html   # Shopkeeper order dashboard (single file)
│
└── README.md         # This file

🛠 Installation Guide (Demo)

  1. Clone Repository
    git clone https://github.com/your-username/local-grocery-platform.git
    cd local-grocery-platform
  2. Open Demo

    Simply open the HTML files in any browser:

    • customer.html → Customer ordering app
    • shopkeeper.html → Shopkeeper dashboard

    No server, no dependencies required.

    For WhatsApp click-to-chat to work, replace the placeholder numbers in wa.me links with real numbers (works on mobile WhatsApp app).


🌐 Planned API Endpoints (Future)

Customer / Order APIs

POST /api/orders

Request

{
  "shop_id": "ramesh_kirana",
  "items": [
    { "name": "Milk", "qty": 2, "price": 50 },
    { "name": "Bread", "qty": 1, "price": 35 }
  ],
  "address": "123, Green Apartments, Sector 62",
  "customer_phone": "9876543210"
}

Response

{
  "success": true,
  "order_id": "ORD-20241005-001",
  "shopkeeper_whatsapp": "ramesh@paytm"
}

Shopkeeper APIs

GET /api/shop/orders?shop_id=ramesh_kirana

Response

{
  "orders": [
    {
      "id": "ORD-20241005-001",
      "customer": "Amit",
      "items": ["Milk x2", "Bread x1"],
      "total": 135,
      "status": "pending"
    }
  ]
}

POST /api/orders/accept

POST /api/orders/reject


🚀 Deployment (Future)

  • Frontend: Vercel / Netlify (static)
  • Backend: Render / Railway (Flask/Node)
  • Database: MongoDB / PostgreSQL
  • Notifications: Twilio WhatsApp API

📈 Future Improvements

  • 📲 Real WhatsApp notification using Twilio
  • 🔐 Phone OTP authentication
  • 📍 Live location-based shop discovery (map view)
  • 📊 Order status tracking (Accepted → Packing → Out for delivery)
  • 💳 Online payment (Razorpay / PhonePe)
  • 🛒 Shop inventory management with stock counters
  • 🌟 Rating & review system for shops
  • 📦 Delivery partner assignment

🧠 Business Logic – Shopkeeper Conflict

The platform uses an open marketplace model:

  • All shops within delivery range appear to the customer.
  • Each shop sets their delivery radius (default 2 km).
  • No exclusivity – if two shops serve the same area, both are shown.
  • Customer chooses based on price, rating, or distance.
  • Future: “Preferred Vendor” badge for high-rated shops.

This avoids direct conflict by giving every shop equal visibility while letting customers decide.


🤝 Contributing

Contributions are welcome.

Please open an issue or pull request for any improvements.


🛡 License

This project is licensed under the MIT License.


👨‍💻 Authors

Developed by Ayan, Jay, Zion, Sarvesh / 14ALL


📞 Support & Community

💬 For questions, open a GitHub Discussion or Issue.


⭐ Show Your Support

If this project helped you, please consider:

  • ⭐ Starring this repository
  • 🍴 Forking it to contribute
  • 📢 Sharing it with local shopkeepers
  • 💖 Following for more updates

🛠 Contribute improvements – backend integration, WhatsApp API, live location, and more.

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An AI-powered "Vocal for Local" marketplace boosting neighborhood commerce through predictive business analytics, real-time service tracking, civic reporting, and hyper-local community engagement.

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