Embodiments of the present disclosure disclose a method and apparatus for customizing knitted products. A specific embodiment of the method includes: receiving knitting program instructions of basic products uploaded regularly by factories to a cloud-based customization platform; generating a design file and an order of a new product in response to a customer designing the new product on the cloud-based customization platform and placing the order; replacing the design file of the corresponding basic product with the design file of the new product to generate the knitting program for making the new product, and generating a working file executable by a knitting machine; sending the order and the working file to an intelligent factory system or manufacturing execution system; and producing the new product by using the knitting machine according to the working file.

A method for online shopping using a dynamic linking code (DLC) is provided. The method comprises displaying information associated with at least one item; obtaining a selection of the at least one item by the user; obtaining input information to virtually manipulate the selection of the at least one item; generating the DLC associated with the selected at least one item, the DLC pointing to at least one of: a first storage location of the database to store the status information indicative of a status of manufacturing of the at least one item; and a second storage location of the database comprising secondary information for recommending one or more other items to the user, based on the at least one item; and displaying output information associated with at least one of the status information or the promotional information, based on a delivery rule of the at least one item.

In some aspects, the techniques described herein relate to a system, including a processor-implemented module configured to provide a business-to-business marketplace to allow a potential seller to filter potential resellers based one or more of (1) a plurality of predefined potential reseller verification tiers, wherein one of the potential reseller verification tiers is based on a physical inspection of the potential reseller, (2) a type of address of the potential reseller, (3) equipment of the potential reseller, or (4) a type of facility of the potential reseller.

A system and method for generating recommendations during image capture are provided. The method comprises obtaining a camera live stream from a camera in a user device, the camera live stream including image data of a particular product; determining one or more baseline image features common to images of one or more products of a collection based at least on image analysis of image data of the images of the one or more products of the collection; comparing the one or more baseline image features to one or more image features of the image data of the particular product to generate one or more recommendations; and generating, for display together with the camera live stream on the user device, the one or more recommendations.

A customer who visits an online marketplace to view information regarding an item formed from fabric may request and receive instructions for producing a sample of the fabric that mimics the sensations of touch and feel of the fabric. The sample may be produced using an automated fabricator, such as a 3D printer, associated with a client device from which the customer made the request. The instructions may include or describe a digital model of the fabric, customized for the automated fabricator. In particular, the sample may be formed from various plastics or other materials that are accessible to the automated fabricator, and need not be formed from the actual materials that are included in the fabric.

A computer-implemented method of generating a graphic for a vehicle item may include: causing a user device to display a user interface indicative of one or more vehicles; receiving, from the user device, vehicle selection information, the vehicle selection information indicative of a vehicle selected by a user; obtaining, from a database, user data corresponding to the user; generating, using a machine learning model, a first score corresponding to a first vehicle item based on the user data; determining whether the first score exceeds a first predetermined score threshold; generating, in response to a determination that the first score exceeds the first predetermined score threshold, a first graphic indicative of the first vehicle item; and causing the user device to display the first graphic via the user interface.

The present disclosure provides a computerized method for assigning items to pickers including: determining a priority of an ordered item; inserting the item into an ordered data structure based on the priority of the item; iteratively, for items in the ordered data structure: determining an item physical location corresponding to a first unassigned item in the ordered data structure; determining a plurality of picker physical locations corresponding to locations of user devices of pickers; calculating a plurality of distances between the item physical location and picker physical locations among the plurality of picker physical locations; assigning the first unassigned item by: identifying a closest picker corresponding to a shortest distance of the plurality of distances; selecting the identified picker; correlating the first unassigned item with the selected picker in a data structure; and sending information of the item and physical location to the user device of the picker.

Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.

Systems and methods for providing merchant/customer interaction include determining that a tablet computer is in a merchant orientation, retrieving merchant product information according to a received instruction and merchant orientation information, and displaying a merchant screen on the tablet computer that includes the merchant product information according to the merchant orientation information. A change in the orientation of the tablet computer enclosure/stand is then detected from the merchant orientation to a customer orientation. In response, the merchant screen is transitioned on the tablet computer display to a customer screen as the tablet computer enclosure/stand changes orientations by moving the merchant screen and the customer screen linearly while in a stacked orientation. The customer screen includes the merchant product information displayed according to customer orientation information such that the merchant product information is displayed differently on the customer screen relative to the merchant screen.

A portable web widget for distribution of multimedia content over a computer communications network, the web widget adapted for viral distribution and execution in a web browser on a client device wherein the widget includes a content retrieval component communicatively coupled to an application server over the computer communications network, the content retrieval component configured to retrieve one or more multimedia display files and metadata into an embedded electronic commerce store in the web widget after it enters an active operational mode, the widget also including a content preview component configured to enable a streamed execution of a portion of the multimedia content files associated with each of the multimedia display files from a multimedia content distribution system executing on the application server, and a transaction processing component operative to execute and complete a commercial transaction in the embedded electronic commerce store pertaining to the multimedia content files.