A system and method for creating and using enabled products sets (EPSs) includes an e-shop developer system in communication with a website building system (WBS), the e-shop developer system to create, modify and update at least one EPS for display in at least one e-shop of a website of the WBS, the at least one EPS to provide continuously updated fulfillment and backend information for its products. The e-shop developer includes an EPS generator tool to provide manual creation and editing services and automatic creation and updating of the at least one EPS, an e-shop builder to receive a user selected at least one EPS and to match the at least one user selected EPS to at least one template for display within the at least one e-shop and an evaluation and integration engine to provide recommendations for the EPS generator tool and the e-shop builder.

A system is provided that includes a mobile user device (300) that executes an application and determines and transmits a recipe for generating a target cosmetic material that is based on a combination of a plurality of separate ingredients that are associated with the user. The system includes a dispensing device (100) configured to receive the transmitted recipe from the mobile user device 300) and dispense each of the plurality of separate ingredients onto a common dispensing surface such that when the dispensed amounts of each of the plurality of separate ingredients is blended on the dispensing surface, the target cosmetic material is achieved.

The present disclosure relates to a system for providing customized cosmetics by using genetic information, the system comprising: a terminal that receives user information related to a user; a genetic/medical information server that stores genetic information related to the user; a skin meter that acquires skin information on the user; and a cosmetic manufacturing system that manufactures cosmetics by discharging at least one cosmetic material, wherein the cosmetic manufacturing system can select a cosmetic material to be discharged on the basis of at least one among the user information, the genetic information, and the skin information.

Generating a product design is provided. A plurality of product desirability models corresponding to a product is generated based on analysis of data corresponding to the product and features of the product that affect physical interactions between potential consumers of the product and the product. A set of insights into design of the product is generated based on the plurality of product desirability models corresponding to the product. A set of design element recommendations for the product is generated based on the set of insights into the design of the product generated from the plurality of product desirability models.

A management system operates in conjunction with entities to provide component recommendations for objects. The management system trains a machine learning model used to generate the component recommendations. The machine learning model is trained based on historical component entries describing components previously provided and identifiers of the components. The management system generates training data by classifying the historical component entries into predetermined component classifications. After the machine learning model is trained, the management system generates a customized recommendation of components for an object based on likelihoods of selection of the predetermined component classifications.

Improvements to existing technologies associated with point-of-sale transactions and merchant ecosystems to, among other things, reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed (i.e., reduce friction) are described. In some examples, such reduced in-person contact and/or improved efficiencies can limit transmission of infectious diseases. As such, techniques described are directed to modifying aspects of point-of-sale transactions such that they occur on different computing devices (e.g., customer computing devices instead of merchant computing devices), are automated, and/or occur at different times than with conventional point-of-sale transactions. Furthermore, in at least one example, techniques described can leverage a distributed, network-based merchant ecosystem—comprising multiple merchant computing devices and/or customer computing devices that are specially configured to communicate with a service provider—to facilitate social distancing, which can reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed.

Disclosed are one or more embodiments for a unique and personalized experience for a user interacting with an electronic commerce site by identifying user-preferred item attributes using supervised machine learning and presenting items to the user in an arrangement that is based on the identified item attributes. A shopping mission is determined according to user interactions with an electronic commerce site. The shopping mission is applied to an attribute prediction model that is trained to detect user-preferred item attributes for items included the item category and estimate a likelihood that an item containing a particular attribute will be purchased or interacted with during the interactions with the electronic commerce site.

In some embodiments, an electronic device can guide the user in setting up the device for the first time or after a factory reset. In some embodiments, an electronic device facilitates suggesting and installing applications on the electronic device during device setup. In some embodiments, an electronic device facilitates transferring settings and information from another electronic device during device setup.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for performing operations comprising: receiving, from a client device of a first user, a request from the first user to engage in an AR shopping experience curated by a store; identifying a first real-world product available for purchase from the store; receiving an image of a real-world environment of the first user; generating a first AR item that represents the first real-world product; comparing visual attributes of the first AR item to physical layouts of a plurality of real-world objects depicted in the image of the real-world environment; and overlaying the first AR item on a first real-world object of the plurality of real-world objects in the image responsive to comparing the visual attributes of the first AR item to the physical layouts of the plurality of real-world objects.

A network-based service may be provided for facilitating queries for a number of items, such as travel services. A user may submit a query including criteria for determining one or more relevant items. Based on the submitted query, the network-based service may present the user with information regarding the actions of other similar users of the network-based service, such as searches performed by the other users. Based on this information, the user may elect to supplement the current query to conform to the actions for other users. In some embodiments, actions by other users may be based at least in part on a category of the querying user. By presenting actions of similar users, a current user may be enabled to select the most relevant query terms for identifying a desired item.