AI- DRIVEN RAW MATERIAL COST OPTIMIZATION AND PROCUREMENT INTELLIGENCE PLATFORM

The AI-Driven Raw Material Cost Optimization Platform is a web-based system designed to help industries make efficient procurement decisions amid fluctuating raw material prices. In sectors such as construction, textiles, manufacturing, and energy, material costs vary due to factors like market demand, seasonal changes, and supply chain disruptions. Traditional procurement methods often rely on manual analysis, leading to less effective decisions and higher costs. To overcome this, the platform uses machine learning and real-time data to analyze historical and current prices and forecast future trends. It provides decision-support recommendations such as BUY NOW, BUY LATER, or HOLD based on predicted price movements and inventory needs. The system also includes dashboards to visualize price trends and cost comparisons, and can be customized for different industries, making it an effective solution for cost optimization.