Abstract: Systems and methods for identifying item substitutions. History information can be collected. The history information can include one or more episodes from one or more customers. Each episode can include one or more items. The history information can be transformed into a matrix of observed substitutions. A neural network can be trained on the matrix of observed substitutions to generate item embeddings. Input including an item can be received. A substitution similarity between the item and another item based on the item embeddings can be identified.

Abstract: Integrating a fulfillment service provider into a third-party application via an Application Programming Interface (API) is described. In an example, a computing device associated with a fulfillment service provider can determine, based at least in part on an indication of an interaction between a user and a third-party application, that the fulfillment service provider has been initialized. In one example, functionality associated with the fulfillment service provider can be accessible to the third-party application via an API. In at least one example, the computing device can generate, based at least in part on the interaction with the third-party application and while the fulfillment service provider is initialized, a recommendation of at least one of a service, a merchant, or an item associated with the fulfillment service provider. The computing device can cause the recommendation to be presented via at least one of the third-party application or the fulfillment service provider.

Abstract: A system for obtaining user parameters of e-commerce users to auto complete checkout forms includes one or more processors configured to monitor user interactions of a user with a merchant website on a user device; determine an intent to purchase one or more items based of the monitoring; determine an unfilled template of a checkout form associated with the merchant website based on previously stored website information, wherein the unfilled template of the checkout form comprises a plurality of checkout form fields; determine one or more user parameters associated with the user device; apply a machine learning algorithm to predict a geolocation of the user device based on the one or more user parameters; and auto fill the at least one of the plurality of checkout form fields in the unfilled template of the checkout form based on the predicted geolocation.

Abstract: A computer-implemented method for creating a photo product design with minimal user inputs includes generating a first portion of a photo product design by a product design module in response to user input, determining one or more layout parameters from the user input to the first portion of the photo product design by a user design learning module, automatically creating a second portion of the photo product design by an intelligent product creation engine at least in part in response to the one or more layout parameters, and automatically making a physical photo product based on at least the first portion and the second portion of the photo product design.

Abstract: A prediction engine may use the user behavior data of a user as collected by user devices to assist the user with obtaining products and services. The prediction engine may predict that a user desires to obtain a product or a service from a vendor based on user behavior data collected by applications on one or more user devices. The collected user behavior data may include a conversation of the user with one or more other persons. The prediction engine may trigger an application on a user device to prompt the user to confirm that the user requests to proceed with obtain the product or the service from the vendor. The prediction engine may notify the vendor to provide the product or the service to the user in response to receiving a confirmation from the user that the user requests to proceed with obtaining the product or the service.

Abstract: Embodiments of the present invention provide a communicable integration of a user network of devices and a vendor system. Embodiments receive, at the vendor system from the user network of devices, a request for provisioning of products by a vendor; determine a provisioning location for provisioning of the products by the vendor; continuously identify a real-time location of the user via the one or more components of the user network of devices; continuously calculate a real-time first limit based on the continuously identified current location of the user and the provisioning location; calculate a total time to provision the products comprising a sum of a product preparation time and the real-time first limit; and optimize delivery of the products based on the total time to provision and the real-time location of the user.

Abstract: Systems and methods for managing purchases for an organization using a rules engine are disclosed. A purchasing system receives a purchase request message and extracts purchase order information associated with a request to make a purchase. Using the extracted purchase order information, a purchase order object is generated. Based at least in part on the purchase order information, a set of rules applicable to the purchase order object is identified, the rules including at least one condition and at least one action. The set of rules can also be identified based in part on contextual information. The at least one action is applied to the purchase order object. Upon receiving authorization from an approval entity, a digital credit object is generated to fulfill the purchase request and the digital credit object is provided to the user.

Abstract: An electronic device according to various embodiments, may include a camera, a communication circuit, a display and a processor, and the processor may be configured to acquire an image of an external object, transmit the image to an external electronic device, so that the external electronic device transmits product information related to the external object included in the image to the electronic device, using the communication circuit, determine one or more keywords related to the product information transmitted from the external electronic device, identify preference category information and preference brand information of a user, based on a usage record related to a product of the user related to the electronic device, determine weights for the one or more keywords, using the preference category information and the preference brand information, and provide at least some keywords having weights which satisfy a specified condition among the one or more keywords, on the display together with the product info

Abstract: The disclosure refers to a method and a device for addition of products on an interface of a device. The method, as executed by the device, comprises receiving product-metadata and display-content, wherein the product-metadata represents at least one product to be displayed as part of the display-content. Further, an automatic addition of the at least one product or an analog thereof related to the product-metadata is enabled or triggered without a user-intervention on the interface provided on a device.

Abstract: A user may request a recommendation for an item from other users. Other users may respond to the request by recommending for or against items. Users may up-vote or down-vote the recommendations or responses of other users. The recommendations of the other users may be used to identify items and provide one or more recommendations to the requesting user. The original question and the responses may form a conversation thread. The recommendations may be inserted into the thread as responses, may be presented alongside the thread, or may be presented at the end of the thread. The recommendations may be based on one or more attributes of the user. The weight of the recommendations provided by other users may vary.

Abstract: An auto-styler device may provide a style-based or outfit-driven shopping experience. The auto-styler device may select a style definition that defines a style-conforming outfit based on rules that apply to a combination of a first item type and a second item type of the style-conforming outfit, and that defines a customized presentation for the style-conforming outfit. The auto-styler device may generate a style-conforming outfit with a first item of the first item type and a second item of the second item type in response to a collective style produced by the combination satisfying the rules. The auto-styler device may position and size a first image of the first item relative to a second image of the second item in a single interface based on the specified the customized presentation of the style definition, and may present or publish the resulting single interface on a merchant site.

Abstract: An integration platform provides a third party channel products from a merchant, so that the third party channel may cause an opportunity to be presented to a user to purchase one of the products. In response to an indication of a user purchase, the integration platform transmits a purchase request to the electronic commerce platform to create an order for the purchase. The integration platform may create a payment for the purchase with the merchant's payment processor and transmit the payment to the payment processor, update the order with the merchant's electronic commerce platform with the payment information, update the status of the order to shipped, and capture payment information by communicating with the payment provider. The merchant's electronic commerce platform may then update the order with the integration platform, which may notify the third party channel of the update so that update may be communicated to the user.

Abstract: Supporting a product purchase from overseas by receiving a request for a module to support purchasing a product of an EC site from overseas from a user terminal, determining whether the module can be loaded by discerning a country of a location from which the user terminal made access, and sending a module for the EC site generated depending on setting information of the EC site to the user terminal when the determination result is positive. The module causes an input field for purchasing the product from overseas to be displayed on a web browser of the user terminal together with a product page of the product.

Abstract: A method and system for assisting in shopping at a physical store (104) is described. The method includes receiving image data of the inside of a shopping cart (108) and processing the image data to detect one or more events. An event is the addition of an item (114) to the shopping cart (108) or the removal of an item (114) from the shopping cart (108). Responsive to detecting an event, the method processes the image data to identify an item associated with the event, and generates cart information based on the identified item. The cart information includes a record of items currently in the shopping cart (108). The method also communicates the cart information with respect to the identified item to a customer device (118).

Abstract: The present invention is directed to a visual cable builder, and accompanying systems, methods, and computer programs. Specifically, a plurality of selectable characteristics of a cable component are displayed to a user. A user selection is received of various selectable characteristic(s) of a cable component. Respective display element(s) associated with the user selection of the selectable characteristic(s) are retrieved. The display element(s) are displayed to the user as part of a configured communications cable. In some embodiments, a part number may also be displayed, the part number being generated based on the selected characteristic(s) of the configured communications cable. An alias part number may also be inputted by the user, which may then be associated with the configured communications cable.

Abstract: The present disclosure is directed toward systems, methods, and computer readable media for training and utilizing an item-level importance sampling model to evaluate and execute digital content selection policies. For example, systems described herein include training and utilizing an item-level importance sampling model that accurately and efficiently predicts a performance value that indicates a probability that a target user will interact with ranked lists of digital content items provided in accordance with a target digital content selection policy. Specifically, systems described herein can perform an offline evaluation of a target policy in light of historical user interactions corresponding to a training digital content selection policy to determine item-level importance weights that account for differences in digital content item distributions between the training policy and the target policy.

Abstract: Systems and methods change a user interface for the purpose of guiding a user in supplementing a product listing with an image to evidence the product's authenticity. Example embodiments include a machine-implemented method for accessing at least one database to retrieve an authenticity criterion mapped to a product and at least one reference image that depicts adequate detail of a product specimen to fulfill the authenticity criterion. The machine can further cause a user device to display the reference image to the user along with a suggestion that the user submit a candidate image depicting similar detail of the product. In some example embodiments, the method further includes retrieving the candidate image, confirming receipt of the candidate image, and displaying the candidate image, as well as adjusting a rank for a candidate specimen based on various factors.

Abstract: Systems and methods to select a product title are described. The system identifies a set of item listings respectively describing items being offered for sale on a network-based marketplace. Each item listing includes a product identifier that matches and is not associated with a product title on the network-based marketplace. Each item listing also includes an item title. The system extracts feature values from the item listings and processes the feature values. The system evaluates the feature values to adopt a product title from an item title included in the set of item titles. The system generates a product user interface including the product title. Finally, the system communicates the product user interface, over a network, for display on a client machine. The product user interface includes the product title.

Abstract: Disclosed herein is a system that includes an order processing subsystem and a delivery processing subsystem comprising at least one database and one or more processors. The one or more processors of the delivery processing subsystem is configured to receive a request for a user to access the delivery processing subsystem and a scanning device, authenticate the user by verifying the request with user credentials stored in the at least one database, provide the user with access to the delivery processing subsystem and the scanning device, receive scanned data from the scanning device, retrieve package data regarding a package for an inmate based on the scanned data from the scanning device, and generate, based on the package data, a route in the correctional facility for delivery of the package to the inmate in the correctional facility, wherein the route does not include an identity of the inmate.

Abstract: A method for providing a recommendation to an individual about an article of footwear includes receiving data about the individual from a sensor module associated with the individual during a first athletic activity engaged in by the individual, determining a first characteristic about the individual's gait based on the data related to the first athletic activity, providing a recommendation about a first article of footwear to the individual based on the first characteristic, receiving data about the individual from the sensor module associated with the individual during a second athletic activity engaged in by the individual, determining a second characteristic about the individual's gait based on the data related to the second athletic activity, comparing the first characteristic with the second characteristic, and providing a recommendation about a second article of footwear to the individual based on the comparison.