The CUbRIK SME innovation application aims in developing new tools for trend prediction and the identification of customer needs in the fashion domain. By skimming explicit and implicit information from users who perform online searches, play games or give their preferences on clothing items valuable intelligence is gathered that will help SMEs to make better decisions in their business analysis.
Building on a fashion image dataset, annotated by the crowd, the application joins human and social interaction with advanced search technologies.
By gathering users annotations, feedbacks and ranks of images dataset, the application aggregates a significant amount of data, which is later used to extract information about “what people like” and “what they want to purchase”.
Taking into account that customers are the source of these trends, such information will provide SMEs with valuable feedback from their target groups, thereby stimulating an open innovation process cycle.