Restaurant Warehouse Optimization Using Advanced Analytics (KEY IJP************220)

• Tisha Sanjay Bagade,Amisha Yadorao Patle,Suhani Dinesh Sahu,Yash Dipak Mogare

Abstract

Effective warehouse management is crucial for restaurants to ensure the timely delivery of quality food products. This study explores the application of data analytics in optimizing restaurant warehouse management. We collected data from a mid-sized restaurant chain and applied data analytics techniques to identify areas of improvement. Our results show that data-driven decision-making can lead to significant reductions in inventory costs, improvement in supply chain efficiency, and enhanced customer satisfaction. Specifically, we found that data analytics can help optimize inventory levels, reduce stockouts and overstocking, and improve delivery schedules. Our study provides insights into the potential of data analytics in restaurant warehouse management and offers recommendations for restaurants seeking to optimize their operations.