A product configuration design system, includes a product configuration design server, including a processor, a non-transitory memory, an input/output, a product storage, a configuration library, and a machine learner; and a product configuration design device, which enables a user to select a three-dimensional object representation, a collection, and an inspiration source, such that the product configuration design server generates a plurality of product configurations as an output from a machine learning calculation on a configuration generation model, which takes as input the three-dimensional object representation, the collection, and the inspiration source. Also disclosed is a method of selecting a three-dimensional object representation, a collection, and an inspirations source; and generating product configurations.

Example systems and methods for virtual visualization of a three-dimensional (3D) model of an object in a two-dimensional (2D) environment. The method may include providing an interactive catalog associated with the 3D model of the object while positioning the 3D model of the object onto the 2D environment. In one aspect, the method may include price and product detail information associated with the 3D model of the object.

A transactional chat platform including a customer sub-system and customer interface, a client sub-system and client interface, and a server sub-system and database is provided. The sub-systems may be configured to transmit data between the customer sub-system and the client sub-system, between the client sub-system and the server sub-system, and between the customer sub-system and the server sub-system. The client sub-system may be configured to initiate a transaction in response to customer communications via the chat box by identifying products from the product list based on keywords used by the customer and displaying those products as thumbnails in the chat box, receiving confirmation from the customer that the customer desires the products, and displaying a purchase prompt embedded interface entirely within graphical boundaries of the chat box, the purchase prompt embedded interface comprising billing and mailing address fields to be completed by the customer.

A method is provided that includes displaying packages for a semiconductor product in a graphical user interface (GUI), by at least one processor, wherein each package includes design resources for a respective design use case for the semiconductor product, and displaying, by the at least one processor, design resources included in a package of the packages in the GUI responsive to user selection of the package.

Embodiments of the present invention provide a computer system a computer program product, and a method that comprises predicting details associated with collected data of an activity by generating a simulated activity based on a result associated with a plurality of attributes within the collected data associated with the activity; simulating the activity within a virtual reality environment by generating virtual items for assistance with a performance of the simulated activity within the virtual reality environment; in response to receiving user feedback for each generated virtual item based on the simulated activity, generating a need-based inventory from user input based on an analysis of the received user feedback for each respective item associated with the simulated activity within the virtual environment; and automatically obtaining each respective item within the generated need-based inventory.

Systems and methods are provided for presenting a user interface with options to customize content associated with an item and share the customized content associated with the item. When a sender customizes content associated with the item, a custom image may be generated based on the customization and associated with a landing page. The custom image and landing page may be associated with a custom rich content tag, where the custom rich content tag is associated with a custom URI. The custom URI may be shared with individual recipients or via a third-party messaging or social media service, such that the custom image may be shown in a message or post that includes the custom URI. Upon engaging with the custom URI, the landing page may be presented.

A method for execution by a computing device of a recommendation system includes receiving, from a user computing device of the recommendation system, a selection of one or more images from one or more selectable image groups, where the user computing device is associated with a user profile. The method continues by generating, by the computing device, a personal preference profile for the user profile based upon the selection of the one or more images. The method continues by determining, by the computing device, to correlate one or more databases of items based on the personal preference profile for the user profile. The method continues by generating, by the computing device, a representation of one or more correlated items of the correlated one or more database of items for displaying on a display of the user computing device.

There are provided systems and methods for tokenized data having split payment instruction for multiple accounts in a chain transaction. A user may provide a payment to a merchant that sells one or more items to the user. In order to sell items, the merchant may utilize a partner service that provides resources for the merchant to sell the items, such as an online marketplace. The partner service may require a payment for each transaction by the merchant using the partner service. Thus, when a payment request is generated to the merchant for items sold to the user, the partner service may attach to the payment request and provide a split payment request for a split payment from the payment request. The payment between the user and merchant may be processed, and a separate transaction may provide the split payment automatically to the partner service from the merchant.

Techniques for modifying a garment based on gestures are presented herein. An access module can access a first set of sensor data from a first sensor, and a second set of sensor data from a second sensor. A garment simulation module can generate a three-dimensional (3D) garment model of a garment available for sale draped on an avatar based on the first set of sensor data and the second set of sensor data. A display module can cause a presentation, on a display of a device, of the 3D garment model draped on the avatar. Additionally, the garment simulation module can determine a modification gesture associated with the 3D garment model draped on the avatar based on the first set of sensor data and the second set of sensor data. Furthermore, the garment simulation module can modify the 3D garment model based on the determined modification gesture.

Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.