{"title":"Remodeling Hospitality Industry through Artificial Intelligence","authors":"A. Imad","doi":"10.1109/SKIMA47702.2019.8982488","DOIUrl":null,"url":null,"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.","PeriodicalId":245523,"journal":{"name":"2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SKIMA47702.2019.8982488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.