Remodeling Hospitality Industry through Artificial Intelligence

A. Imad
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引用次数: 3

Abstract

Remodeling the hospitality industry through artificial intelligence (AI) – that uses big data analytics and complex machine learning – is a concept that will help the industry to leapfrog to the next level. The notion put forward in this paper is to develop a framework to utilize machine learning analyses the multi-channel user data for efficient decision making to enrich the customer experience and to provide the maximum revenue to the vendor. We propose strategies to infer customer behaviors by capturing otherwise salient information – e.g. through the various digital footprints. Feeding such analytics to a suitably trained collection of machine learning algorithms called the “Digital Operations Manager” helps to automate complex decision making, removing human error and bias. The proposed AI system, if appropriately deployed within a hospitality industry environment, is thought to bring out a significant gain in the user choice and experience as well as efficiency in resource management and revenue optimization.
通过人工智能重塑酒店业
通过使用大数据分析和复杂机器学习的人工智能(AI)重塑酒店业,这一概念将帮助酒店业跨越式发展。本文提出的概念是开发一个框架,利用机器学习分析多渠道用户数据进行有效的决策,以丰富客户体验并为供应商提供最大的收入。我们提出了通过捕捉其他显著信息(例如通过各种数字足迹)来推断客户行为的策略。将这些分析提供给经过适当训练的机器学习算法集合,称为“数字运营经理”,有助于自动化复杂的决策,消除人为错误和偏见。拟议的人工智能系统,如果在酒店行业环境中适当部署,被认为可以在用户选择和体验以及资源管理效率和收入优化方面带来显着收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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