Case Study

NEW YORKER: HARNESSING DATA INSIGHTS TO IDENTIFY FASHION TRENDS AND REDUCE STOCKOUTS

NEW YORKER: HARNESSING DATA INSIGHTS TO IDENTIFY FASHION TRENDS AND REDUCE STOCKOUTS

Pages 2 Pages

CUSTOMER SUCCESS STORY NEW YORKER: HARNESSING DATA INSIGHTS TO IDENTIFY FASHION TRENDS AND REDUCE STOCKOUTS NEW YORKER is a German-based clothing retailer and one of the world’s largest international fashion brands. With over 1,100 retail stores across 47 countries and 21,000 employees, it provides young audiences with affordable fashion. Staying Ahead of Tomorrow’s Trends Stockouts – the unavailability of specific items or products at the point of purchase when the customer is ready to buy – cost retailers an estimated $1 trillion every year. In retail fashion, staying ahead of the latest trends is key to customer engagement. As a competitive industry, retailers rarely disclose their methods of giving the customer what they want to guarantee sales. What makes NEW YORKER special is that e

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