The technology impacts and AI solutions in hospitality

Author:

Mohammad Badruddoza Talukder1,Iva Rani Das2

Affiliation:

1. International University of Business Agriculture and Technology

2. University of Dhaka

Abstract

With the help of technology and Artificial Intelligence (AI), the hospitality industry has undergone a considerable change that has affected both the guest experience and the efficiency of operations. Through chatbots and virtual assistants, AIdriven solutions have become essential for improving interactions with guests, making personalized suggestions, and making reservations easier. Predictive analytics, Robotic Process Automation (RPA), and facial recognition technologies have made operations more efficient by improving security, finding the best pricing strategies, and automating routine tasks. Dynamic pricing algorithms look at market conditions and changes in demand in real-time, which has changed how revenue management is done. Contactless technologies, which AI has made simpler, are crucial to keeping things clean. AI-powered surveillance has strengthened safety and security measures. HR analytics and internal communication chatbots help managers streamline work processes and get employees more involved. IoT sensors make predictive maintenance possible, preventing equipment from breaking down by predicting when it needs maintenance. When voice recognition technology is built into a room, guests can use their voices to control amenities. Data analytics and Customer Relationship Management (CRM) systems also use AI to learn about guests' likes, dislikes, habits, and feedback, which helps with targeted marketing and providing more personalized services. Using secondary data, this study concluded that the hospitality industry continues to use AI and technology, and the sector moves forward thanks to the positive feedback loop between new ideas and happy customers. The study's findings show how AI solutions have changed hospitality, including making things better for guests, making things run more smoothly, and always trying to provide the best service possible.

Publisher

i-manager Publications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data-Driven Personalization in the Sharing Economy;Advances in Finance, Accounting, and Economics;2024-07-26

2. Socioeconomic Gaps and Foster Inclusive Growth;Advances in Hospitality, Tourism, and the Services Industry;2024-07-26

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