Ugam
46 Case Studies
A Ugam Case Study
The leading department store faced the challenge of becoming eCommerce ready, as it needed to rapidly and accurately onboard a large number of SKUs online. Inaccurate product data was creating a poor customer experience. They partnered with vendor Ugam to address this.
Ugam implemented its JARVIS cognitive computing system, which used machine learning to extract product attributes from various sources and natural language generation to create unique descriptions. This solution successfully accelerated the onboarding process and enriched the product data. As a result, the leading department store supported a 40% year-on-year growth in its online revenue.
Leading Department Store