Achieving Customer-Centricity Through Data Analytics: Case Study on Women’s Clothing E-Commerce Reviews

Textual data from social media posts, customer feedback, and reviews are valuable information resources. Text mining can help uncover insights from unstructured data like customer reviews. Making sense of this unstructured data enables companies to enhance their understanding of customers’ choices, make prompt operational adjustments, and deliver superior customer-centric experiences. In this chapter, we will examine a dataset focused on women’s clothing e-commerce reviews and demonstrate how various data visualization and text mining methods can be used to uncover meaningful insights within the review data. Furthermore, this chapter explores key considerations for optimizing supply chain responses based on customer preferences.