Big data and impact in demand-driven material requirements planning

Big Data integrated with DDMRP has turned a new leaf in managing the supply chain. The research elucidates the deep impact of Big Data in relation to DDMRP. Big Data from online transactions, sensor data, social interactions, and many other areas possesses the potential to bring a paradigm shift in the area of demand forecasting, inventory management, and supply chain optimization as a whole. It allows organizations to make informed, agile decisions for cost reduction, inventory optimization, and improved customer service by enabling real-time data analysis and predictive modelling. However, there are challenges to the adoption of Big Data in DDMRP, including data security and advanced analytics capability. The study examines the application, benefits, challenges, and impact of Big Data implementation in DDMRP. Therefore, the study also provides valuable input for organizations interested in making use of the potential of big data. Its findings point toward a decisive role of big data in reshaping supply chain strategy and enhancing responsiveness to market fluctuations for modern business.