To Study on Optimizing Resource Use and Reducing Waste by Using a Pioneering Analytical Method

Abstract

This study explores innovative analytical methods to optimize resource utilization and minimize waste, addressing the critical environment and economic challenges faced by hotel industries. By blending advanced data analytics and analytical techniques, this study aims to establish a sustainable operational framework for hotels. Through the examination of case studies from a range of food hotels, the study showcases how predictive analytics can help predict demand, streamline inventory management, decrease food wastage.
The main objective of the project is to get the full knowledge of the optimizing resource through daily sales tracking, daily purchase and inventory management, daily wastage monitoring in the hotel. By integrating these components, this project seeks to provide actionable insights and findings of solutions for restaurants. This approach was validated and data gathered by online survey from one restaurant and got 119 responds from 120 employee. The data was collected and processed using SPSS tool for analysis like (ANOVA, Chi-Square, Regression Analysis, Correlation Analysis) and Power bi for creating dashboard that provide value for restaurants. By this analysis it empowers restaurant managers with real-time data and insights, quick decision-making about resource management that will helps to reduce waste and optimize resource use to enhances operational efficiency, reduces costs, and improves overall profitability.