Article
RAW MATERIAL USAGE TRACKER AND PREDICTION
The Raw Material Usage Tracker and Prediction system is designed to monitor, analyze, and predict the consumption of raw materials in an organization. The system maintains detailed records of material purchases, available stock, daily usage, production requirements, and remaining inventory. It helps organizations track raw material usage efficiently and identify consumption patterns over time. Historical usage data is analyzed using data analytics and machine learning techniques to predict future raw material requirements. The prediction feature helps estimate upcoming demand and supports timely material procurement. The system can also identify materials with high consumption rates and provide useful insights for inventory management. By continuously tracking stock levels, it can help reduce the chances of material shortages and unnecessary overstocking. Data visualization through charts and dashboards makes it easier for users to understand consumption trends and inventory status. The system improves planning by providing data-driven estimates instead of relying only on manual calculations. It can support better purchasing decisions, reduce material wastage, and improve production efficiency. Overall, the proposed system provides a centralized and intelligent solution for raw material tracking, consumption analysis, inventory monitoring, and future usage prediction.
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