Digital closet system with trade-in functionality

Abstract

An electronic commerce platform application server comprises a digital closet application, a sell-to-buy application, and a machine learning system. The digital closet application allows users to efficiently digitize and virtually store their physical items. The digital closet application receives sensor data, such as an image or point cloud data, and detects the item and predicted sale value using a machine learning system. Digital closet items are viewed and managed via a digital closet interface, which provides images, attributes, and descriptive information of each item. The digital closet interface is dynamically updated to present marketplace insights to users based on their items and optimal sale periods based on triggers, upcoming events, and configurable thresholds. The sell-to-buy application allows a user to trade-in one or more items in exchange for credit towards a new item available on the electronic commerce platform and utilizes user interaction information to prompt trade-ins during optimal times.

CPC Classifications