Cognitive Retail Catalog based on User Clothing Style
Publication Date: 2017-Feb-23
The IP.com Prior Art Database
This article details a system in which a customer may provide their digitised wardobe/clothing data, and receive purchasing suggestions from an online platform in response to this data. This provides a faster and more efficient purchasing suggestion process, creates additional purchasing funnels, and provides more publicity to lesser known retailers and designers.
Cognitive Retail Catalog based on User Clothing StyleIn today's modern society consumers are presented with myriad options for clothing, however it can be difficult for them to find clothing in the style that they are searching for. This is alleviated by the use of personalised shopping experiences and suggestions, however this approach is only effective through investment of both time and money by providing a purchasing history with individual retailers. Disclosed is a system that focuses on increasing the speed and efficiency at which customers can engage in a personalised shopping experience, improving customer experience and engagement whilst also improving a retailer's conversion rate and public presence.The system stated in this article utilises a pre-existing cognitive driven solution to quickly digitise a customer's personal clothing style; using this information we can provide purchasing suggestions from multiple retailer outlets. Retailers can provide their clothing catalogue (along with descriptive metadata) to an open platform from which customers receive their purchasing suggestions on demand.This provides a new unique point of engagement for consumers and a more appealing funnel for customers who have no loyalty to a particular retailer nor the time to build a personalised shopping experience through conventional means (such as building up a purchasing history). This may also be invaluable to smaller/more niche retailers who do not have as much public presence, as they may be exposed to more customers that their catalogue caters for through this cognitive system.The process of the system is as follows:Build a consolidated global listing of retailer productsRetailers provide their catalogue of clothing to an external platform along with descriptive data about their products (such as colour, cut, size and type), purchasing options (online or retail store) and geographical information (store locations, valid shipping destinations) to build a knowledge base that the customer's request is matched against.The system also gathers optionally provided metadata that may be used to learn and categorise dress styles in groups (e.g. culture, work environment, climate), which can be used to provide further options to users looking for suggestions outside of their own style.Determine the customer's dress styleHere we use a pre-existing cognitive method to digitise the customer's existing clothing to determine their taste in clothing and their current wardrobe contents. Platform receives requests from customersWhen a customer sends a request to the purchasing platform, their cognitively generated clothing style data is attached to the request and used to generate appropriate purchasing suggestions. The clothing style data may also include a list of specific items (also identified through a cognitive method) from the customer's wardrobe from which further...