Abstract

The hospitality sector, especially hotel and restaurant kitchens, struggle with dealing with food waste and
sustainable operations. The current research explores how Artificial Intelligence (AI) and Internet of Things (IoT)
can be implemented in real-time monitoring of waste in hospitality kitchens. With the use of intelligent technologies
like sensor-enabled smart bins, predictive analytics platforms, and automated tracking systems, AI and IoT together
provide sophisticated solutions for minimizing waste, optimizing operations, and reducing costs.
Employing secondary data from scholarly articles, industry reports, and case studies, the study selects principal
technological interventions and their efficacy in reducing food waste. The results confirm the benefits of AI-IoT
integration in enhancing precision in waste classification, improving inventory and consumption predictions, and
promoting sustainable choice-making. Nevertheless, obstacles in implementation such as excessive capital
expenditure, insufficiency of digital literacy, and limitations in infrastructure continue to exist, particularly for small
and medium-sized businesses.
This research highlights the revolutionary potential of AI and IoT technologies in fueling a circular economy in the
hospitality industry, calling for wider implementation and customized strategies to overcome operational and
financial hurdles.