Using Big Data Analytics to Supply Chain Management to Unlock Organizational Efficiency

The concept of Big Data and Analytics, or BDA, is being widely promoted by software companies, industry leaders, media outlets, and several business consultants. As many businesses are actually utilizing it to their advantage. Big data analysis plays a vital part in supply chain management processes. The analysis of big data is essential to supply chain management procedures. Uses of big data in supply chain management are numerous and include consumer behaviour evaluation, demand forecasting, and trend analysis. The extent to which supply chain management uses Big Data (BD) analytics is revealed by this study. It is easier to forecast supply chain operation tasks like sales, demand, marketing, finance, etc. when time series forecasting techniques are used throughout model preparation. Because time series forecasting can be based on past data patterns, it aids companies in making well-informed business decisions. It can be applied to project future circumstances and occurrences. Analytics and the suggested approach are crucial for reducing costs, saving time, comprehending sales situations, increasing customer acquisition and retention, improving selling insights, and developing new products.