Revealing high potential ideas
Selecting a mix of products in line with what the end consumer wants is a challenge for the fashion industry. The ideal would be to test the different product ideas in an agile and reliable way for the decision making regarding next collection.
Which ideas are most attractive to consumers? Which ones add value and represent the collection’s next successes?
Online platform for standardized product testing for each new collection or for assessing brand strength.
Combination of products with the potential to reach the largest number of consumers.
Many products from a range of offerings can appeal to the same consumers who will buy only one of the items when in market. This consumer deduplication technique, in an analysis analogous to the TURF, allows the prioritization of products that add a greater number of new consumers and that would not be reached by only one of the offers.
Defining a framework for product testing that allows autonomous projects to be conducted
Multidisciplinary team composed by Masters and Doctors in Statistics, Computational Mathematicians and Marketing Specialists.
Artificial Intelligence and ML algorithms to identify the aspects most valued by consumers
Prescriptive insights to guide the innovation pipeline.