Leveraging data analytics models for smart e-commerce decision making

The rapid expansion of e-commerce platforms has led to the generation of massive volumes of consumer and transactional data. To remain competitive, businesses must leverage this data effectively. Data analytics models provide powerful tools for understanding customer behavior, optimizing pricing strategies, and improving operational efficiency. This article explores how predictive, descriptive, and prescriptive analytics models enhance decision-making in e-commerce environments. The study highlights key benefits, real-world applications, and challenges associated with implementing data-driven strategies.

Перевод пока недоступен