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A cognitive autonomous method for apparel selling Disclosure Number: IPCOM000251858D
Publication Date: 2017-Dec-06
Document File: 5 page(s) / 85K

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The Prior Art Database

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A cognitive autonomous method for apparel selling The apparel market is one of the biggest industries in the world. The competition is very intense and any new technology that can bring value to buyers can also increase sales. This market is led by players of all sizes, some with worldwide coverage. Those companies have international and local needs to sell apparel, thus spend a lot of money on physical shops, advertising, and virtual web sites. Any new technology that can bring more customers to see and purchase the product is beneficial for those thousands of sellers worldwide. Consumers purchase apparel for many reasons, such as to give as a gift, to immediately wear, or to attend an event; however, a consumer in a local apparel shop or visiting a website is not always aware of what kind of apparel he/she is going to buy. Sometimes buyers get help from a sales person, but this person does not know the consumer or have all the information needed to help, and is thus limited. A consumer and a sales associate must consider many characteristics to best define what kind of apparel will fit a person for a specific event: the event to attend (e.g., type, location, people who will attend, etc.), user preferences (e.g., color, size, type of cloth, budget, etc.), city and country characteristics (e.g., weather prediction, cultural, time of event, etc.) and fashion trends, among others. It is almost impossible for a buyer to exactly buy the apparel that will match all these characteristics. A method is needed that can efficiently help a consumer make the best apparel selections for a specific need. The novel solution is a cognitive autonomous method and system for apparel selling. The method and system identify all the relevant characteristics and offer the expertise of a stylist to provide alternatives to a consumer based on one (or more) seller’s available options. The method considers all the important characteristics needed to help a vendor sell apparel to a consumer for a specific event. The system leverages cognitive technology, social media, and historical data to autonomously collect information. In practice, the system and associate method can attach to any inventory or sales application, to a marketing campaign, or vendor’s social website. The core novelty of the method is a built-in apparel stylist’s expertise. This system analyzes many input variables (e.g., user's preferences, personality, characteristics; event details such as location, date, time; social, economic states; local and country cultural information) and then identify apparel alternatives for a user from one or more vendors. This method and system provide the apparel vendors a new sales channel leveraging a range and scope of information that help a consumer make more accurate decisions

when selecting new apparel. It also can leverage integration with different sellers, increasing information coverage for decision-making and optimizing the sales. No prior art proposes this o...