G. Kopsiaftis, Ioannis Georgoulas, I. Rallis, Ioannis Markoulidakis, Kostis Tzanettis, Michael Sfakianos, N. Doulamis
{"title":"Application Programming Interface for a Customer Experience Analysis Tool","authors":"G. Kopsiaftis, Ioannis Georgoulas, I. Rallis, Ioannis Markoulidakis, Kostis Tzanettis, Michael Sfakianos, N. Doulamis","doi":"10.3233/faia210092","DOIUrl":null,"url":null,"abstract":"This paper analyzes the architecture of an application programming interface (API) developed for a novel customer experience tool. The CX tool aims to monitor the customer satisfaction, based on several experience attributes and metrics, such as the Net Promoter Score. The API aims to create an efficient and user-friendly environment, which allow users to utilize all the available features of the customer experience system, including the exploitation of state-of-the-art machine learning algorithms, the analysis of the data and the graphical representation of the results.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"736 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Novelties in Intelligent Digital Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/faia210092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper analyzes the architecture of an application programming interface (API) developed for a novel customer experience tool. The CX tool aims to monitor the customer satisfaction, based on several experience attributes and metrics, such as the Net Promoter Score. The API aims to create an efficient and user-friendly environment, which allow users to utilize all the available features of the customer experience system, including the exploitation of state-of-the-art machine learning algorithms, the analysis of the data and the graphical representation of the results.
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