• Nikita Singh

The landscape of warehousing operations is undergoing a profound transformation with the advent of advanced analytics and technological innovations. This research explores the concept of an " Analytics-Enabled Warehousing: Next-Gen Innovations in Smart Inventory Transformation," which integrates traditional warehousing practices with cutting-edge solutions to optimize inventory management(Souvik Paul). By harnessing technologies such as Collaborative Planning, Forecasting, and Replenishment (CPFR), Smart Shelves, Internet of Things (IoT) sensors, and Artificial Intelligence (AI) powered Warehouse Management Systems (WMS), this study proposes a holistic approach towards achieving smarter inventory solutions. Through a comprehensive analysis of these technologies and their synergistic integration, the research elucidates how businesses can enhance operational efficiency, inventory accuracy, and responsiveness to customer demands. The proposed framework presents a paradigm shift towards a data-driven warehouse ecosystem capable of driving sustainable growth and maintaining competitive advantage in today's dynamic marketplace.

Analytics Enabled Warehouse, Warehousing Operations, Smart Inventory Management, Collaborative Planning, Forecasting, and Replenishment (CPFR), Smart Shelves, Internet of Things (IoT) Sensors, Artificial Intelligence (AI) in Warehouse Management Systems (WMS), Inventory Optimization, Real-time Data Analytics, Predictive Insights, Operational Efficiency

"ANALYTICS-ENABLED WAREHOUSING: NEXT-GEN INNOVATIONS IN SMART INVENTORY TRANSFORMATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.n425-n427, April-2024, Available :http://www.jetir.org/papers/JETIR2404D52.pdf

"ANALYTICS-ENABLED WAREHOUSING: NEXT-GEN INNOVATIONS IN SMART INVENTORY TRANSFORMATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppn425-n427, April-2024, Available at : http://www.jetir.org/papers/JETIR2404D52.pdf