The Impact of Artificial Intelligence on Customer Relationship Management in Insurance Companies in Palestine
Publication Type
Original research
Authors
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Abstract: Theresearchhighlights the impact of AIonCRMininsurancecompanies in Palestine, as it shows how advanced technology can improve the efficiency and effectiveness of services provided to customers. The research examines the use of artificial intelligence systems to analyze big customer data to provide personalized experiences and improve customer interaction. It also examines how these technologies can be used to provide accurate risk estimates and customize offers according to the needs of each customer. In addition, the research discusses the challenges facing the application of these technologies in the Palestinian market, such as regu latory constraints and the need to train employees to use AI tools efficiently. Out of the 220 responses received from the online survey, 200 were deemed valid and included in the analysis. The results indicated that artificial intelligence is positively related to the dimensions of customer relationship management (effective communications, level of investment in the relationship, customer satisfaction, and customer loyalty), and this accepts the four supported hypotheses. The study recommends for increased investment in AI technologies to better personalize customer services and enhance interaction quality through precise data analysis. It also emphasizes the need for developing analytical skills for improved fraud detection and risk assessment, alongside training employees for ethical AI use and improving interdepartmental communication. This finding gives policymakers opportunities to evaluate the balance between different related parties as well as develop between technical and customer service departments that ensure sustainability while optimizing the benefits of related parties and responsible use of AI.
Journal
Title
Studies in Big Data
Publisher
Springer Nature Switzerland AG
Publisher Country
United Kingdom
Publication Type
Prtinted only
Volume
165
Year
2024
Pages
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