Based on the dynamic capabilities (DC) theory, the aim of this study is to investigate the
contribution of generative artificial intelligence (GAI) to the development of customer …

Businesses in the E-Commerce sector, especially those in the business-to-consumer
segment, are engaged in fierce competition for survival, trying to gain access to their rivals' …

In the telecom industry, large-scale of data is generated on daily basis by an enormous
amount of customer base. Here, getting a new customer base is costlier than holding the …

This study aims to predict customer churn in influencer commerce. As influencer commerce
is a form of e-commerce, influencers directly sell products by uploading website links on …

Presently, significance of deep learning techniques starts to overlook the world of E-
commerce with their endless customizable online shop** experience to the users. Though …

The aim of this article is to promote the development of rural finance and the further
informatization of rural banks. Based on DL (deep learning) and artificial intelligence …

For better customer service and customer retention, businesses take proactive measures,
including troubleshooting and solving potential challenges promptly. Blockchain technology …

Loyal customers play an important role in every store's success. They tend to buy regularly
and help stabilize incomes. Being able to identify potential repeat buyers allows marketers …

Today, in addition to reactive methods, companies try to use proactive techniques for the
early detection of customer churn. Generally, gaining a new customer is more costly than …

In recent era, major companies from e-commerce sector should focus on customer
identification through churns in accordance to their business strategy as the market …