Machine Learning for Fashion
|Funding from Vinnova
|SEK 300 000
|April 2017 - July 2017
Purpose and goal
Superkicky´s ambition is to provide a style-based recommendation engine, that knows what customers want before they know themselves. The purpose of this project was to further develop the current prototype so it can be tested on a larger scale. The goal was to have a service ready to be implemented with a first pilot customer.
Expected results and effects
The project results will give us the opportunity to get proof of concept that we can take to the market. It will also be used for providing us with data for further development of the technology. The prototype was completed according to plan and the successful outcome of the project resulted in a customer waiting to implement the service.
Planned approach and implementation
The project was conducted together with SICS Decisions, Networks and Analytics Laboratory. In addition to the planned result, the project also generated a number of ideas about new approaches and applications, as well as interest from customers outside our current target audience. The cooperation established with SICS was very successful and will continue after the end of the project.