The article examines marketing strategies in the e-commerce market, particularly in the B2C sector. E-retail is becoming increasingly popular, gradually replacing traditional forms of trade. It is shown that an important factor is the development of logistics systems that can ensure fast and high-quality delivery of goods. The study showed that effective scaling in e-commerce not only contributes to business growth, but also helps companies stay relevant in a rapidly changing market, ensuring their long-term success and sustainability. Thus, the use of personalized marketing campaigns, automation of sales processes, and the introduction of convenient payment systems can significantly improve the customer experience. The authors argue that the introduction of an artificial neural network model for analyzing e-sales has become a new strategy for this business. This model made it possible to study the impact of various marketing factors on e-sales by applying different weighting factors. Due to its effectiveness in planning advertising campaigns and forecasting sales, the company will be able to determine the optimal values for each aspect in advance, which will allow better optimization of financial and marketing resources. Thus, the study of the application of Data Science methods in e-commerce is particularly attractive, given its adaptability, dynamism, and development prospects.