Case Study: Amazon Fashion achieves trend-led product growth with WGSN Predictive Analytics

Amazon Fashion adds tens of thousands of products with WGSN

Amazon Fashion, a major e-commerce business, sought to move beyond retrospective sales data to provide its brand partners with deep-level trend insights and predictive forecasts. Their challenge was to fill gaps in the customer journey and future-proof product range direction, leading them to collaborate with the industry expert WGSN and utilize its Predictive Analytics service.

WGSN implemented a bespoke partnership, delivering robust trend intelligence reports driven by its unique Predictive Analytics Methodology Toolkit. This solution provided comprehensive insights into womenswear, menswear, and kidswear trends. The results were measured by high adoption and satisfaction rates of over 90% among key brands. Most significantly, Amazon Fashion added tens of thousands of new products that matched WGSN's trend predictions, driving tangible growth and expanding the partnership year on year.

Amazon Fashion