This case study describes how Lynx Analytics used data science to help a global clothing retailer improve its e-commerce strategy, starting with the China market. The retailer’s ecommerce business was not performing well, especially given the company’s high brand awareness and market potential in the country. Lynx conducted an analysis of the business, identified an opportunity to use prices to increase traffic and sales, and built a price optimization application for the client. The application analyzes price elasticity for items in the retailer’s e-commerce inventory and recommends prices for specific timeframes to increase future sales, revenues, and profit margins. The retailer is now using the price optimizer successfully to increase its e-commerce revenues and margins.