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With the rapid digitization of the food industry, online food ordering systems have become an integral part of modern dining experiences. This research paper explores the various facets of online food ordering systems, aiming to enhance the overall user experience through a comprehensive analysis and the development of an innovative design framework. The study begins by conducting a critical review of existing online food ordering platforms, assessing their strengths, weaknesses, and user feedback. By leveraging user-centered design principles, the research identifies key challenges such as user interface complexity, order accuracy, and delivery efficiency. Through a combination of user surveys, usability testing, and data analytics, the paper provides valuable insights into user preferences, behavior patterns, and expectations. Subsequently, the research introduces a novel design framework that integrates cutting-edge technologies, including artificial intelligence, machine learning, and personalized recommendation systems. This framework aims to address identified challenges and elevate the user experience by streamlining the ordering process, enhancing menu navigation, and ensuring accurate order fulfillment. Additionally, the proposed framework prioritizes accessibility, inclusivity, and responsiveness across various devices to cater to a diverse user base. In conclusion, this research paper offers a comprehensive examination of online food ordering systems, proposing an innovative design framework to address existing challenges and enhance the overall user experience. The findings aim to guide future developments in the field, fostering a seamless and enjoyable online dining experience for users worldwide. Key Words: Online Ordering System,,User-friendly interface, Hassle Free Environment, Queless Ordering System
Kushwah et al. (Thu,) studied this question.