The Impact of Artificial Intelligence on Customer Analysis

In this age of globalization and digitalization, digital transformation and big data become very important. Firms have over time gathered more information about their customers on a day-to-day basis, acting more effectively and analytically while collecting this data and seeking to find ways to process that data. All of this is getting pretty important for organizations to gain a competitive edge. Thanks to artificial intelligence, there have been some changes in addition to the traditional methods currently used in customer analysis. In this way, customer analysis becomes much easier for businesses. Businesses analyze customers more comprehensively and can offer personalized products and services in line with customer needs. In addition, marketing strategies have become more effectively managed thanks to artificial intelligence. This thesis focuses on the impact of artificial intelligence on customer analysis and its efficiency in this regard the innovations and strategic advantages offered to businesses by these analyses supported by artificial intelligence. The research touches on certain topics such as customer segmentation, sentiment analysis, predictive models and customer journey mapping. Artificial intelligence, used in integration with big data, allows businesses to make more accurate and efficient analyses and can also track customer trends in advance. In addition to all this, the role of artificial intelligence in customer analysis brings with it a number of challenges and various ethical concerns. In summary, this thesis intends to offer an academic and practical guide in this subject, considering the current status and also future potential of customer analysis on which artificial intelligence is used from every angle.