A leading North American fashion brand was struggling to meet customer demand and provide personalized recommendations during the holiday season, decreasing customer satisfaction and sales. Sutherland used predictive analytics to create defined customer profiles and expertly trained fashion advisors to provide more personalized shopping experiences. This resulted in a 7% increase in basket size, 10% increase in sales conversion, and 23% reduction in average handle time.