The purpose of this study was to examine the relationship of relationship benefit and commitment in developing customer loyalty first and then to develop the intelligent model to predict the customer loyalty. Survey methodology was used to gather data from three different service sector based on the classification by Bowen. A sample of 600 customers and responses were collected randomly from the front desk of services. Regression analysis by Using SPSS 20 was applied to analyze the data collected. The finding of the study revealed that relationship benefit and commitment had direct positive influence on customer loyalty. Furthermore the commitment of customer towards an organization is instrumental in developing loyalty. After performing the advance data analytics, ANN model was developed to predict the loyalty, which can be utilized to prepare the further directions and road map for service industry. Obtained results reveals that proposed machine intelligence approach is very useful for service industry for short-term as well long-term future planning.

中文翻译：

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使用机器智能方法分析关系收益和承诺对建立忠诚度的影响

本研究的目的是首先检查关系收益与承诺在建立客户忠诚度方面的关系，然后开发智能模型来预测客户忠诚度。根据Bowen的分类，调查方法用于从三个不同的服务部门收集数据。从服务前台随机收集了600个客户和响应的样本。应用使用SPSS 20进行回归分析来分析收集的数据。研究发现，关系收益和承诺对客户忠诚度具有直接的积极影响。此外，客户对组织的承诺有助于建立忠诚度。在执行高级数据分析之后，开发了ANN模型来预测忠诚度，可以用来为服务行业准备进一步的方向和路线图。获得的结果表明，提出的机器智能方法对于服务行业的短期和长期未来规划非常有用。