This project presents a modern Food Online Ordering Platform designed to streamline food ordering while increasing sales through an intelligent upselling recommendation algorithm. Built using PHP, MySQL, and JavaScript, the system analyzes customer behavior, item popularity, and order patterns to suggest add-ons or complementary food items during checkout.
The platform aims to support restaurants and cloud kitchens by improving customer experience, boosting average order value, and simplifying online order management. Key features include a dynamic menu, user-friendly ordering workflow, order tracking, and an automated recommendation engine that generates item suggestions at the most impactful decision points.
The Food Online Ordering Platform with Intelligent Upselling Algorithm is a full-stack web application enabling customers to browse menus, place orders, and receive personalized food suggestions. The system leverages a rule-based and behavior-driven upselling model that learns from previous orders and item combinations.
Digitalize and simplify online food ordering
Increase restaurant revenue through smart upselling
Reduce friction in order placement
Enhance customer experience with relevant suggestions
Intelligent Upselling & Food Recommendation Engine
Dynamic Menu & Category Management
User Login, Cart System & Order Checkout
Order Status Tracking
Admin Panel for Menu & Order Management
Sales Reports & Customer Analytics
PHP Backend with MySQL Database
Responsive JavaScript-based Frontend
The system enhances restaurant operations, boosts average order value, and provides a seamless ordering experience. By integrating an intelligent upselling algorithm with a robust ordering flow, the project demonstrates strong technical, analytical, and customer-centric design skills suitable for a final-year BCA project.
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