Abstract: Systems and methods for identifying item substitutions. History information can be collected. 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. A substitution similarity between the item and another item based on the item embeddings can be identified.

Abstract: A third-party negotiation automation tool for generating cost estimates on behalf of a seller is described herein. In response to receiving a request for a product from a buyer, a seller may choose to participate in a negotiation for fulfilling the request. The system may utilize one or more data sources, such as user-provided data, third-party data, and the like, to generate a cost estimate on behalf of the seller for fulfilling the request. The seller may choose to accept, modify, or decline the generated cost estimate before providing the cost estimate to the buyer for acceptance. This process may continue for one or more rounds, dependent upon the request, with the final cost estimates provided to the buyer for selection at the conclusion of the one or more rounds.

Abstract: This application is related to a system and related methods for providing a user with a hair product based on the user's hair type, location, water characteristics associated with a location or water used when applying the hair products, and/or other factors. The system develops various databases, including data indicating global environment conditions at the city, state, and/or regional level, and chemical ingredients that achieve specific hair effects. Upon receiving a request from a user specifying at a desired hair result, the system determines a hair product for the user based on water hardness, and recommends a hair product or sends the user a hair product in accordance with the user's desired hair effects.

Abstract: Systems and methods are disclosed for displaying information related to items in a store. Stock keeping unit (SKU) information for items in the store and combination information indicating which SKUs were sold together can be determined.

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: Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include receiving, from first sensors first sensed data indicating selection of a first product by a customer; determining, from the first sensed data, a first property associated with the first product; issuing a first query to the customer regarding the first property and, in response, receiving first information from the customer; comparing the first information with the first property; determining, based on the comparison, an integrity indicator associated with the customer; receiving, from second sensors second sensed data indicating a selection of a second product by the customer; determining, based on the integrity indicator, at least one action to determine a second property associated with the second product; and initiating the at least one action.

Abstract: Systems and methods for facilitating a purchase are described. A user logs in to a payment service provider site. The user provides authorization to use a one-page checkout service. The user's information is captured during the session, and a cookie is placed on the user's device. When the user goes on a merchant website and checks out using the payment service provider, the payment service provider detects the cookie on the user device. The payment service provider uses the cookie, and in one embodiment, centrally stored information, to populate the one-page checkout page with the last used payment. In various embodiments, the one-page checkout page also displays a shipping address.

Abstract: Systems and methods for item price assignment. A line recommendation engine receives unassigned records from a queue and stores one or more line recommendations for the unassigned item record in a recommendation database. The line recommendation engine can determine a new line should be recommended, and/or which existing lines the unassigned item record could be assigned to. A user interface can display the one or more line recommendations for the unassigned item record to a user and receive an input indicating a selected line identifier for the unassigned item record. A machine learning engine can modify a parameter of the line recommendation engine based on the selected line identifier.

Abstract: The present disclosure provides systems and methods for creating and updating vehicle listings using crowdsourced images. An exemplary embodiment of the disclosed systems and methods includes at least one processor and at least one non-transitory computer-readable medium containing instructions. The instructions, when executed by the at least one processor, cause the system to perform operations. The operations include communicating with a listing system to create a listing for a vehicle and receiving, from an identification application executing on a mobile device distinct from the listing system, an identifier for the vehicle and an image of the vehicle. The operations further include identifying the listing using the received identifier, determining one or more parameters associated with an image quality for the received image, and updating the listing for the vehicle to include the received image based on the determined one or more parameters for the received image.

Abstract: Methods of manufacturing articles of footwear include providing articles to a customer, receiving evaluations of one or more structural characteristics of the articles, and making new customized articles for the customer based on the evaluations of one or more structural characteristics. The method can be conducted as a cycle that is repeated each time the customer buys a new pair of footwear. Systems for manufacturing customized articles of footwear include: a computing system that receives input including a customer-selected evaluation of one or more structural characteristics of an article of footwear, wherein the article of footwear includes a first sole member with a first structural characteristic having a first value; and a second sole member for a second article of footwear, wherein a surface of the second sole member is modified to include a first pattern of apertures and/or incisions based on the customer-selected evaluation of the first structural characteristic.

Abstract: The following relates generally to pharmacy and/or merchandise pickup location selection. In some embodiments, factors are used to determine a pharmacy and/or merchandise pickup location selection for an individual. In this regard, the factors may include: whether the pharmacy and/or merchandise pickup location has a medication in stock; wait time at the pharmacy and/or merchandise pickup location; geographic distance to the individual; travel time from the location of the individual; urgency of filling a prescription; price of a prescription; whether another product or class of products available at the pharmacy and/or merchandise pickup location; and/or whether a locker is available at the pharmacy and/or merchandise pickup location. In some embodiments, Artificial Intelligence (AI) is used to create a model of pharmacy and/or merchandise pickup location selection for the individual.

Abstract: When a person visits a physical retail store, the merchant often does not have enough information about the person to make meaningful product recommendations. Also, a physical retail store typically has products physically distributed throughout the store. It may be desirable to have some sort of relationship between where the customer is and the location of the product being recommended. In some embodiments, when a person visits the store, a computer determines an identity of the person and generates a product recommendation based on user-specific information for that person. In some embodiments, generating the product recommendation includes detecting that a field of view of a camera of the device has changed, and in response determining a plurality of products within or proximate to a current field of view of the camera. At least one of the plurality of products is then identified as the recommended product.

Abstract: Systems, methods, and computer-readable media are disclosed for processing input data to determine an entity such as a product, service, user profile, etc. referenced in or otherwise relevant to a semantic context of the input data. Information related to the entity may be provided as an information package (e.g., a card) that is shareable as part of an electronic message. The card may include a representation of a network resource identifier that identifies a network resource, a network location of the network resource, and an access mechanism for accessing a representation (e.g. a product detail page) of the network resource. The network resource identifier may include one or more tags or tokens that identify an electronic messaging application provider and/or a user such as a sender or recipient of an electronic message that includes the card so as to enable compensating the provider and/or the user for a purchase of a product or service to which the card relates.

Abstract: This disclosure describes systems and techniques for identifying events that occur within an environment using image data captured at the environment. For example, one or more cameras may generate image data representative of a user interacting with an item on the shelf. This image data may be used to generate feature data associated with the user and the item, which may be analyzed by one or more classifiers for identifying an interaction between the user and the item. The systems and techniques may then generate interaction data, which in turn may be analyzed by one or more additional classifiers for identifying an event, such as the user picking a particular item from the shelf within the environment. Event data indicative of the event may then be used to update a virtual cart of the user.

Abstract: A content delivery system for generating personalized content for a user. The system maintains an interest graph that shows the user's current attachment to one or more topics. When a user performs an action, a topic is determined for the action and the user's interest graph is modified based on the action. The system also receives content and analyzes the language of the content to determine a topic of the content. A similarity between the user's interests and the content is determined. The content is also analyzed to determine the popularity of the content. The user's interest level and the popularity of the content are then used to provide the user with a personalized content, such as a content recommendation or enhanced content.

Abstract: The present disclosure provides techniques for curating search results. A first request to look up an identifier for an item is received from a first user, and first tracking information corresponding to movements of the first user in a physical space is retrieved. At least one item associated with the first user while moving in the physical space is identified from the first tracking information. A first identifier of the at least one item is determined, and the first identifier is provide to the first user.

Abstract: The subject disclosure relates systems and methods for making upgrade recommendations, such as recommendations for version upgrades to a purchasable media-content item. A process of implementing the subject technology can include steps for authenticating a user associated, identifying affiliates of the user, wherein the affiliates are associated with the user via a social network or online gaming platform, receiving a user selection of a content item, and identifying an upgrade version of the content item, wherein the upgrade version is associated with a second version identifier and a second price indicator. In some aspects, the process can further include steps for providing a recommendation to the user, wherein the recommendation indicates the upgrade version of the content item and the second price indicator. Systems and machine-readable media are also provided.

Abstract: A routing system of a call center determines a plurality of advisor clusters to be assigned to each of a plurality of lead records stored in a lead model database. The predictive machine learning model inputs lead model data and advisor model data into a clustering analysis. Various modeling data are extracted from source lead data, sales data, and advisor data, in which the advisor data has been flattened for modeling. The predictive machine learning model applies a combination of a clustering analysis, a cluster model, and an aggregate conversion model to lead model data and user model data. The clustering analysis utilizes unsupervised clustering and supervised clustering, and outputs a plurality of advisor clusters and sales conversion scores. The clustering analysis clusters each of the advisors into one of the plurality of advisor clusters based on degree of similarity of a clustering vector.

Abstract: Examples described herein relate to apparatuses and methods of providing real-time notifications on affordability and advisability of purchasing goods or services using augmented reality. The method includes receiving, from AR device associated with a user, visual data representing a view through a viewing area of the AR device. The visual data comprises geolocation data indicating a geolocation of the AR device. The method includes identifying an image of an object included in the visual data. The method includes determining, based on the visual data, a product identifier associated with the object. The method includes determining an attempt by the user to purchase the object. The method includes generating, in response to determining the attempt, recommendation data based on the product identifier and an account associated with the user. The method includes sending the recommendation data to the AR device to cause the AR device to display the recommendation data to the user.

Abstract: Disclosed are systems, methods, and devices for managing a personal user inventory. In one embodiment, the method comprises retrieving a message associated with a user identifier, the message including a body content portion; identifying a parser associated with the message; parsing the body content portion using the parser to identify an item of merchandise present within the body content portion, wherein the item of merchandise is associated with an item identifier and a set of item details; associating the item of merchandise with the user identifier; and generating a display listing merchandise associated with the user identifier, wherein the listing of merchandise includes the item of merchandise.