AI-Driven RFM E-Commerce

Abstract

The findings that support my concept, "AI-Driven RFM E-Commerce," may be read in its entirety. In this article, the techniques utilized to transform the idea into a working website are discussed in depth. One module that sticks out among system users is the admin dashboard. I have been working on student project, which uses artificial intelligence to analyze dynamic customer, sales, and product data. The needs will be similar to what specifically mentioned. Three main areas & Dashboard are the emphasis of this project's development of AI-driven insights: Product Analysis (Dashboard-1): Predicting trends and performance by using forecasting models. Transaction/Sales Analysis (Dashboard-2): Finding trends and useful information in sales data. Customer Analysis (Dashboard-3): Recognizing consumer trends and segmenting them to improve decision-making. Technical Information Integration: To ensure smooth viewing and interaction, the dashboards will be integrated using frames. Data Handling: In order to enable real-time updates and more profound insights, I want to integrate the data with a dataset to make it static. For both the user interface and database backend, I have used Python, respectively. No costly software or computer components are required to set up my system application; all you need is your desktop machine and internet access. Almost any user with a regular internet connection may use my platform-neutral solution at any time and from any location. I may change my system to meet certain needs as well.