Browsing by Author "Amna Shah"

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    Quick mart
    (UMT.Lahore, 2025) Waqas Ali; Mamoon Ayoub; Amna Shah; Muhammad Ali
    QuickMart is a smart, Al-powered e-commerce platform developed to enhance the onlinegrocery shopping experience in Pakistan. The primary objective behind building QuickMart wasto address common inefficiencies in traditional e-commerce systems such as delayed customersupport, stock mismanagement, and poor user engagement-by leveraging modern webtechnologies and artificial intelligence. At its core, QuickMart is designed to provide a seamless,real-time shopping experience that benefits customers, vendors, administrators, and deliverypersonnel alike.One of the standout features of QuickMart is its integration of an Al-powered chatbot thatprovides instant customer support on the platform. Unlike conventional systems where usershave to wait for a representative, QuickMart's chatbot is available 24/7 to answer queries, guideusers, and help resolve common issues in real-time. Another key innovation is the demandforecasting module. Using Al models and historical sales data, the system can predict productdemand in advance, allowing vendors and admins to manage inventory more accurately andreduce losses from overstocking or stckouts.The system is built using a modern MERN (MongoDB, Express.js, React.js, Node.js) stack, withadditional technologies like Firebase for real-time otifications and Socket.IO for real-timecommunication. A role-based ashboard ensures that every user-whether a customer, vendor,admin, or ider-has access to a personalized interface tailored to their needs. stomers anregister, browse products place orders, and track their deliveries in real ime. Vendors manageinventory, receive stock predictions, and monitor salesanalytics, while riders update deliverystatuses and communicate with ustomers and admins