Case Study: a leading US retailer builds customer-centric private label products with Ugam

Leading US Retailer - Customer Case Study

A leading US retailer aimed to grow its private label business by building more customer-centric products but lacked the ability to analyze the vast volume of customer reviews for deeper insights at scale. They partnered with analytics vendor Ugam to tackle this challenge.

Ugam implemented a solution combining machine learning, NLP, and human expertise to analyze customer sentiments from various data sources. This process generated a detailed customer wish list of product attributes and provided pragmatic insights. The results enabled the retailer to leverage these insights across 80+ product categories and reduced their cost to analyze customer sentiment by 25%.