Artificial Intelligence Model for Analyzing the Buying Patterns of Customers

Artificial Intelligence Model for Analyzing the Buying Patterns of Customers

DOI: 10.4018/978-1-6684-7105-0.ch003
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Abstract

This study aims to incorporate artificial intelligence (AI) for analyzing buying patterns of customers and different factors that are playing its role by discovering the important factors that contribute towards changing patterns. In order to study, a survey has been conducted for this analysis. Selected dataset consists of four attributes (i.e., gender, age, estimated salary, and purchase). These factors are used as input to AI model. The dataset consists of 400 members. Eighty percent of the data has been used for the purpose of training, and the data used for testing purpose is 20%. Experimental results have shown that that model has achieved 90% accuracy. It means AI has contributed a lot towards changing behaviors and approach of the customers during online shopping.
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Introduction

This comparative study aims to incorporate the role of artificial intelligence in the changing buying pattern of consumers, and the role of digital spaces in this changing behavior. It has been witnessed that consumer behaviors have been fully transformed in this decade. Marketing trends and sense have been changed and fully transformed. Advertising plays an important role in influencing the targeted audience. But this process of changing trends was not at so much pace, certain events happen in the last three years that help to fully transform consumer behavior. COVID-19 was one of the reasons that fully transformed consumer behavior.

Social restrictions and measures taken for the safety of individuals during the COVID-19 pandemic have brought about the improvement of new propensities (JagdishSheth, 2020), and the countries’ economy has gone through critical changes all over the world. The quick reaction that was expected for COVID-19 required the utilization of advanced innovations in all parts of life (Shreshth, Shikhar, Rakesh, & Sukhpal, 2020) and, to protect, individuals all around the world have rehearsed preventive conduct. People's self-efficacy and seen force might be utilized to follow and evaluate conduct changes. The COVID-19 pandemic established an extraordinary climate where people and organizations quickly took on digitalization: embracing computerized advances can help with keeping social separation. During the COVID-19 pandemic, advanced and social media assumed a significant part in connecting with purchasers (Noel & Kieran, 2020). Because of COVID-19, the commitment of buyers to social media has risen (Raouf, 2021).

But social media advertisement is considered very effective and reliable in terms of effectiveness and budget. This way of communication has effective customers reach and millions of people all over the world have a presence on different types of social media platforms. Social media advertisement has got so much height currently in this country and overall globally. There are some key advantages of social media advertisements: First, it influence rate is high on customers. Second, it has reached a large audience and it can also reach the targeted audience. Third, it creates a strong impact and influences them to purchase a product and make a decision effectively. Effectiveness is very important in social media advertisement, this helps to grow and survive.

Client commitment alludes to the cycles, techniques, and advances used to keep up with consistent correspondence with customers through all conceivable touchpoints. Client commitment is utilized by advertisers to catch the consideration of clients by providing them with important information. All through the client experience, advertisers intend to keep their items and administrations at the focal point of the buyer's brain. Social media is one of the most impressive stages for purchaser collaboration. Clients ought to have the option to utilize social media to draw in with organizations. Clients who are content with the items and administrations will make presents by sharing them on social media. Business associations might utilize offensive purchaser criticism on social media platforms to go through a change in their current items and administrations (Yogesh, Elvira, Laurie, & Jamie, 2021). In this era of the world, brilliant showcasing is the standard. Artificial intelligence is one of the growing areas which has a huge influence on changing patterns. Artificial intelligence (AI) can be utilized by advertisers to accelerate smart showcasing (Arnaud, Vijay, & Yean, 2020). Organizations may likewise screen buyer audits on social media to make altered limited time lobbies for every client to change over them, and checking purchaser conduct on social media could assist with expanding transformation rates (Sameh & Ozgur, 2020). Computerized advances are changing the plans of action. Artificial intelligence empowered computerized stage assists the organizations in engaging the customers (Raghu & Praveen). The advanced insurgency has made the business environment more pitiless. Artificial intelligence further develops business intelligence and execution. Research is expected to decide the effect of social media client commitment on transformation rates. Shopping experience change through social media is a persistent interaction rather than a one-time event. The swapping scale of clients shows their buying expectations.

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