Efficient inventory management is vital for maintaining competitiveness and operational excellence in today's market. An effective system optimizes stock levels, improves cash flow, prevents shortages, and enhances supply chain efficiency. This research aims to reduce holding costs related to storage and expiration, thereby improving financial sustainability and resource allocation. Additionally, it seeks to enhance consumer satisfaction by reducing stock shortages and backorders, ensuring products are available when needed, which promotes loyalty and brand reputation. By integrating advanced analytics and machine learning, our project aims to transform inventory management, boosting operational efficiency and profitability across various industries.

Subject: WQD7004 - Programming for Data Science @ Group 2 Lecturer: Associate Prof. Dr. Ang Tan Fong Project Title: Purchase Price Index (PPI) Analysis & Forecasting using Artificial Neural Networking. Group 8: The Economist. Group Member(s) : ## 1. Logan Ramanatham(22085735) ## 2. Lai Siau Hung (17207453) ## 3. Vinod Kunhi (22079942) ## 4. Lee Yin Tung (22083362) ## 5. Guo Xin Rui (S2166997) ## 6. Kok Jing Xian (22091447)