Moda Operandi leverages 350 trunk shows and additional real-time data from customers who buy fashion a season ahead to accurately predict key trends, sought-after items and top-performing collections. Some of these insights were released today in Moda Operandi’s SS20 Runway Report, which takes the guesswork out of the buying process through a combination of sales and engagement data; pattern identification through machine learning and traditional tools used by the fashion buying team.
Moda’s two businesses, trunk shows for preorders, and boutique for in-season merchandise, are symbiotic. “We’ve found that, once in our boutique, trunk show bestsellers can have two-to-10-times greater sales per item than boutique inventory that’s not informed by preseason sales,” said fashion director Lisa Aiken. “That’s because we’ll able to react to what she wants up front, by gauging consumer demand.