PeakPlanner: AI-Based Market Basket Insights for Demand Forecasting

Abstract

PeakPlanner is an intelligent business analytics platform designed to assist organizations in sales trend forecasting and inventory optimization through data-driven insights. This system integrates data upload, preprocessing, and predictive modeling into a seamless pipeline using a PHP-based frontend and backend coupled with Python-based forecasting algorithms. It dynamically creates user-specific databases, organizes data month-wise, and utilizes Random Forest models for accurate demand prediction. Additionally, it generates insightful reports and visual dashboards that highlight business performance and growth opportunities. The platform offers an intuitive interface for uploading CSV data, automates model training and evaluation, and provides marketing strategy recommendations based on observed trends. This paper presents the architectural design, technical implementation, and practical implications of PeakPlanner in real-time business environments, demonstrating its potential to enhance decision-making through machine learning and data visualization.