Mr. Srinivas Kalisetty

Empowering Retailers with Data-Driven Solutions: Leveraging AI, ML, and Data Engineering for Inventory Optimization and Operational Excellence

Abstract:

This research examines how retailers can leverage AI, ML, and data engineering to optimize inventory and achieve operational excellence. By applying AI and ML algorithms, retailers can enhance demand forecasting, reduce stockouts, and minimize overstocking, ensuring optimal inventory levels. Data engineering facilitates the integration, processing, and analysis of large datasets, enabling real-time decision-making and actionable insights. The study explores predictive analytics, supply chain optimization, and the creation of scalable, high-performance systems. Addressing challenges like data silos and ethical AI use, the findings highlight the transformative potential of these technologies in reducing costs, enhancing customer satisfaction, and driving competitive advantage.