Our project is creating a single sign on plattform that allows people to consolidate all of their personal data, preferences and online shopping history in one database. All of the information is gathered from websites the user has visited before. Via an API provided by all participating websites, historic data of each other can be send to their 7SignOn Profile (approval is requested by the user beforehand, of course) and used to aggregate all data into patterns and preferences. These could include body shape and size, colour and fabric preference, brands, common themes etc. Ideally, a 3D body mesh will be created of each user to get exact measurements via dual lense technology in the application. By matching the measurements of each individual with the exact information on clothing items and combining them with preferences derived from previous activity and other given information, a personal shopping experience can be created on each website. The user will only see items that actually fit them.
Thinking one step further into the future, where AR technology is more commonly used, the user can also try on items in a virtual fitting room. All the clothes they have previously bought in any other online store will be added to their virtual wardrobe, so they can combine potential new items with their existing clothing before purchasing.
The plattform also allows you to interact with other users, for example rating their outfits. The virtual wardrobe is then able to incorporate weather forecast, personal favorites and ratings from other users into recommendations for outfits on a daily basis.
We intend to start this plattform around clothing, but once it takes off it can be extended to almost any field. For example traveling: You have been looking up pictures of beaches, so the platform searches for vacation trips on a travel website within the networks and makes the offer. You book your trip to Bali, but you only have one bathing suite. The plattform immediately recommends a few bikinis from various plattforms. Once your clothing dilema has been solved, a book is recommended to you to pass the time on the beach.
By incorporating all types of lifestyle plafforms into the Single Sign On model, they can benefit from the extensive data collection each user puts into the plattform and profit from synergy effects that can be derived from the connection of different areas.
Especially in the online shopping sector, this solution will significantly reduce the number of returns and therefore solve one of online retails biggest problems. By taking acurate measurements as the basis and enriching them with personal preferences, a unique shopping experience is created for each user.