Groceries Web-based Recommendation System with Email Notification

The title of this study is "Groceries Web-Based Recommendation System with Email Notification". This research aims to develop a recommendation web-based system for the groceries industry and evaluate its effectiveness through user acceptance and functionality testing. This study utilizes Agile Model as its methodology. The methodology consists of five phases which are System Planning, System Designing, System Development, System Testing and System Publish. The development of the recommendation system will involve the integration of advanced algorithms and machine learning techniques to analyze large datasets of customer transactions, product information, and user feedback. By leveraging these techniques, the system will be able to generate accurate and relevant recommendations tailored to each individual user's preferences. To evaluate the system, both user acceptance and functionality testing will be conducted. Functionality testing will focus on assessing the system's performance in terms of accuracy, efficiency, and reliability. It will involve measuring the system's ability to provide appropriate recommendations based on user inputs. The findings from this research will contribute to the field of grocery retail by providing insights into the effectiveness of recommendation systems in enhancing the shopping experience. Ultimately, the development and evaluation of a recommendation web-based system for groceries will enable retailers to personalize the shopping experience, improve customer satisfaction, and drive business growth in the highly competitive grocery industry.