Treffer: Optimizing supply chain operations using data analytics

In the evolving landscape of global commerce, supply chain operations have becomeincreasingly data-driven, necessitating agile, intelligent systems for efficient decision-making.This study investigates how businesses in India are leveraging data analytics to optimizevarious facets of supply chain management—including inventory control, demand forecasting,vendor collaboration, and logistics. The research is grounded in a descriptive methodology,with data collected via structured questionnaires from over 120 supply chain professionalsacross multiple industries.The findings reveal that data analytics adoption is on the rise, with a significant majority oforganizations applying tools like Excel, Python, and Power BI to streamline operations. Mostrespondents reported substantial improvements in forecasting accuracy, inventory visibility,and decision-making speed. Despite these benefits, key challenges such as poor data quality,lack of skilled personnel, and high implementation costs continue to hinder full-scale adoption.The study concludes that integrating predictive analytics and real-time dashboards cansignificantly enhance operational efficiency and resilience. Recommendations include targetedworkforce training, improved data governance, and a phased approach to analytics adoptionstarting with pilot projects. The research provides actionable insights for managers aiming todrive competitive advantage through digital transformation in supply chains.