Articulating Deep Learning and Internet of Things (IoT) in the Hospitality Industry as a Catalyst for Sustainable Consumption and Food Wastage

Abstract

A new age of innovation in the hospitality sector is being ushered in by the confluence of deep learning (DL) and the internet of things (IoT), which offers a comprehensive solution to sustainability issues. Due in large part to its complex supply networks and high resource consumption, the hospitality sector contributes significantly to food waste and environmental damage. In order to provide a more sustainable and socially responsible approach to waste management, this chapter explores how the combination of DL and IoT systems might play a crucial role in it. DL algorithms are used to optimize a number of areas of hospitality operations because to their capacity to evaluate massive datasets. These models are used in the food service industry for customized menu improvement, inventory control and demand forecasting. These technologies can help to achieve SDGs 1 and 2 by creating ecologically and socially responsible hospitality industries through the promotion of sustainable consumption patterns and effective waste management.