A Data Driven Approach for Customer Relationship Management for Airlines with Internet of Things & Artificial Intelligence

2020 ◽  
pp. 657-672
Author(s):  
Rajesh G. Pillai ◽  
Poonam Devrakhyani
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Driven ◽  
Data Driven Approach

The New Technological Trends in Customer Relationship Management (CRM) to Unveil Opportunities for Developing Countries

2021 ◽  
pp. 2119-2128
Author(s):  
Cagla Seneler ◽  
Rana Kadioglu
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Internet Of Things ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Main Theme ◽  
Social Crm ◽  
The Future ◽  
Potential Customers

The main theme of the thesis is how new technological trends will shape the future of Customer Relationship Management (CRM) and to provide opportunities for developing countries. CRM is the whole set of methods that companies use to make the most efficient, most effective, and ultimately profitable relationship they have with existing or potential customers. The concepts of internet of things (IoT), artificial intelligence (AI), cloud CRM and social CRM which are frequently heard today are examined in this thesis. For developing countries, these trends will create various opportunities in particular were explained with examples from Turkey. Although CRM is not a completely understood concept, companies will create the future of CRM by following the new trends.

scholarly journals Internet of Things based Customer Relationship Management – A Research Perspective

2018 ◽  
Vol 7 (2.7) ◽  
pp. 444 ◽  
Author(s):  
Samir Yerpude ◽  
Dr Tarun Kumar Singhal
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Mobile Internet ◽  
Customer Relationship ◽  
Time Data ◽  
Crm System ◽  
Real Time Data ◽  
The Impact

Objectives: To study the impact of Internet of things (IoT) on the Customer Relationship Management process and evaluate the benefits in terms of customer satisfaction and customer retention. Methods: An extensive literature review was conducting wherein the constructs of CRM and IoT are studied. Various preliminary information on IoT and CRM system along with the components of Digital enablers have been evaluated. References from research papers, journals, Internet sites, statistical data sites and books were used to collate the relevant content on the subject. The study of all the relevant scenarios where there is a possible impact of IoT origin real time data on CRM was undertaken. Findings: Customer demands are continuously evolving and it is very relevant for all the organizations to align and keep pace with the change. Organizations need to be customer centric and agile to the changing market scenarios. Evaluation of the trends in mobile internet vs desktop internet was also conducted to validate the findings. Application: The usage of real time data emerging out of the IoT landscape has become a reality with the data transmitted over the Internet and consumed by the CRM system. It improves the control on the customer relationship function helping the organizations to operate within healthy and sustained profit  

Enhancing the Electronic Customer Relationship Management through Data Mining

2010 ◽  
pp. 119-139
Author(s):  
M. Vignesh
Keyword(s):  
Data Mining ◽  
Data Storage ◽  
Customer Relationship Management ◽  
Business Intelligence ◽  
Relationship Management ◽  
Daily Basis ◽  
Customer Relationship ◽  
Data Driven Approach ◽  
Second Tier

According to the Moore’s law, the number of transistors per microprocessor will double in every two years. In no doubt, this exponential increase in the processing speeds would be flanked by the increasing amount of data that corporates contend on a daily basis. Hence all corporates are literally drowning in data. But definitely there exists a hiatus between the data storage and the information retrieval. One can ask an enigmatic question, how effectively a stored data can be utilised for the decision making in the long-term perspective. The answer is not yet arrived out. Hence the “Organizations are data rich, but information poor!”. If capturing and storing the relevant data is a hectic task, then analyzing and translating this data into the actionable information is the other corner stone in any information systems of a concern. This gap can be bridged or overruled by the concept of business intelligence. Business Intelligence (BI) can be simply defined in terms of data –driven approach rather than information driven which includes methods as decision support systems, online analytical processing (OLAP), statistical analysis, query and reporting, forecasting which can be primarily done by data mining. BI along with customer relationship management (CRM) software forms the second tier of a firm’s IT infrastructure. This chapter holds a bird’s eye view of the usage of datawarehousing approaches for a systematic business intelligence approach and its varied applications in view of electronic customer relationship management.

Data-Driven Customer Centricity

2015 ◽  
pp. 157-174
Author(s):  
Othman Boujena ◽  
Kristof Coussement ◽  
Koen W. de Bock
Keyword(s):  
Competitive Advantage ◽  
Customer Relationship Management ◽  
Predictive Analytics ◽  
Relationship Management ◽  
Customer Behavior ◽  
Customer Relationship ◽  
Data Driven ◽  
Customer Data ◽  
Business Environments ◽  
Customer Centricity

Customer relationship management (CRM) is becoming a very hot topic nowadays in academia and business environments. Indeed, companies are constantly searching for new innovative ways to create or maintain their competitive advantage. Due to the recent advances in Internet and technology, CRM predictive analytics is becoming an important tool in the toolset of the marketer. It is the practice of using the huge volumes of historical customer data to predict future customer behavior. This chapter introduces the reader to the shift towards a data-driven customer centricity approach, where marketers act upon what they know, rather than upon what they think.

Conceptualizing the Use of Artificial Intelligence in Customer Relationship Management and Quality of Services

2022 ◽  
pp. 177-201
Author(s):  
Parag Shukla ◽  
Sofia Devi Shamurailatpam
Keyword(s):  
Artificial Intelligence ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Operational Efficiency ◽  
Customer Relationship ◽  
Quality Of Services ◽  
Comprehensive Model ◽  
Indian Banks

In this chapter, the authors have conceptualized a hypothetical comprehensive model of AI, CRM, and quality of services by banks given the underlying pull and push factors that determine the extent of AI adoption by the banks. This chapter shall also serve as a primer to demonstrate the effects of use of artificial intelligence in the Indian banks and is also aimed to encapsulate the restraining and facilitating forces that drive adoption of AI. This chapter examines the blooming development of artificial intelligence and its significance in the operational efficiency in terms of management of issues related to customers while accessing different products and services offered by banks. In other words, the use of artificial intelligence technologies can dramatically improve banks' ability to achieve four key outcomes: higher profits, at-scale personalization, rapid innovation cycles, strategic customer relationship management (CRM), and distinctive omni-channel experiences. The role of artificial intelligence (AI) is significant in the banking industry for operational efficiency.

Establishing high value markets for data-driven customer relationship management systems

Kybernetes ◽  
2019 ◽  
Vol 48 (3) ◽  
pp. 650-662 ◽  
Author(s):  
Wen-Yu Chiang
Keyword(s):  
Customer Relationship Management ◽  
Customer Value ◽  
Large Scale ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Driven ◽  
Social Commerce ◽  
Content Type ◽  
Proposed Model ◽  
Customer Values

PurposeOnline customer relationship management (CRM) is an important issue for implementing digital marketing of electronic commerce or social commerce. The purpose of this study is to establish valuable markets for discovering customer knowledge from data-driven CRM systems for enhancing growth rates of businesses. Airline or travel agency industries are online businesses in the world. Therefore, the industries in Taiwan will be an empirical case for this study.Design/methodology/approachThis research applied a procedure with an applied proposed model for establishing valuable markets from data-driven CRM systems. However, the study used a proposed customer value model (recency, frequency and monetary [RFM]; RFM model-based), the analytic hierarchy process (AHP) procedure and a proposed equation for estimating customer values.FindingsFor enhancing the data-driven CRM marketing of the industries, in this research, the market of air travelers can be partitioned into eight markets by the proposed model. As well, the markets can be ranked by the AHP procedure. Furthermore, the travelers’ customer values can be estimated by a proposed customer value equation.Originality/valueVia the applied proposed procedure, online airlines, travel agencies or other online businesses can implement the research procedure as their data-driven marketing strategy on their online large-scale or Big Data customers’ databases for enhancing sales rates.

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