The present disclosure provides a method for tracking shipments or transport containers and tracking device. In one example, the method includes the transport of a shipment from a first user to a recipient can be tracked using a tracking device which is enclosed with the shipment. After the shipment has reached the recipient, a destination address instruction is transmitted to the tracking device by a control unit, which causes destination address information to be displayed on a graphic output unit of the tracking shipment for onward transmission of the tracking device to a second user. The control unit monitors the stock level of the tracking devices at the users, wherein the control unit determines the destination instruction according to the demand for tracking devices by the users and/or according to the stock level of tracking devices at the users.

A method for providing a personalized shopping and styling experience using an AI-Interface application is provided. The method includes presenting a user app interface on a user device associated with a user to receive user data comprising user shopping and styling preferences, shopping habits, and images of the user's personal wardrobe inventory. The method also includes providing a virtual closet for the user, wherein the virtual closet comprises processed images of the personal wardrobe inventory of the user. The method further includes providing a personalized product feed source by filtering product data. The method additionally includes providing a personal stylist interface that allows stylists to access the virtual closet of the user. The method includes analyzing using an AI model, the user preferences and shopping habits, sales history, browsing history, and the selected items, wherein the AI model continuously learns and generating personalized product recommendations to the user.

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.

Methods, system and apparatus for the scheduling the retrieval, delivery and laundering of customer loads of laundry. The system may receive laundry service orders from customer, schedule couriers or delivery services for the transportation of bags of laundry from the customer to a washer located at a laundry facility. The washer may be located at a residential laundry facility or a commercial laundry facility. The system may provide the washer with instruction for performing the laundering tasks and track the progress of each load of laundry through the process by having the washer scan unique identifiers attached to the laundry bags, washing machines and dryers.