Abstract: A system comprising: at least one hardware processor; and one or more software modules that are configured to, when executed by the at least one hardware processor, access product information for a plurality of products from a plurality of external systems; extract product data from the accessed product information; process text and table information to extract further product data from the accessed product information; standardized the extracted product data; store the standardized product data; store the standardized product data in a database; and present a user interface to user systems that presents standardized information related to the plurality of products that enables searching, filtering and comparing of the standardized information.

Abstract: Systems and methods are provided and include a computer terminal located at a flooring store that receives a measured color of a flooring product. A server receives paint product catalog information from a computer system located at a coating manufacturer facility, determines paint colors that coordinate with the flooring product based on the paint product catalog information, and runs a paint product ordering application that interacts with a web browser of the computer terminal. The computer terminal receives a paint product ordering web page from the server that enables a user to create an order for a paint product based on a selected paint color and transmits the order to the server. The server receives the order and communicates the order to the computer system at the coating manufacturer facility. The computer system receives the order for order fulfillment, including creating, packing, and shipping the paint product to the user.

Abstract: An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.

Abstract: An interface is rendered on a user-operated device. Selections are made with respect to a first set of options by the user operating the interface. A list of potential food dishes for further selection by the user is presented within the interface based on the selections. A food dish selection is received from the user through the interface. A recipe for the selected food dish is generated and presented within the interface based on the food dish selection and a list of ingredients needed for the recipe are generated as a shopping list for the user to obtain at a store. In an embodiment, a navigation route to obtain the ingredients within the store is provided to the user when the user is at the store, allowing the user to traverse the route within the store and obtain each of the ingredients.

Abstract: According to an embodiment, the controller of a commodity pickup apparatus obtains information related to a commodity to be picked up and the number of pieces thereof. Further, the controller detects a fact that a commodity picked up is put in the accommodation portion and commodity information of the commodity put in the accommodation portion, on the basis of an image obtained by imaging the accommodation portion. The display device of the commodity pickup apparatus identifies the commodity to be picked up as a commodity picked up, a commodity to be picked up next, or a commodity not yet picked up and displays the commodity.

Abstract: In one embodiment, a method includes receiving a user input from a first user from a client system associated with the first user, determining one or more products of interest to the first user based on one or more machine-learning models and the user input, accessing social data associated with the one or more products of interest from a data store, wherein the social data comprises social signals or content objects associated with one or more second users, each second user being within a threshold degree of separation of the first user within a social graph, generating one or more social summaries associated with the one or more products of interest based on the accessed social data, and sending instructions for presenting the one or more social summaries of the one or more products of interest to the client system.

Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.

Abstract: Techniques are described herein for presenting attribute variations (differing attribute values) of an item at a network page. A request for the network page associated with an item of an electronic catalog can be received. In response to the request, the network page can be presented. The content and/or format of the network page can be predefined by an interface specification associated with the item and/or item category for the item. The network page may include a first area that includes an expanded view in which one or more variations of the first attribute are depicted and any suitable number of collapsed views in which one or more variations associated with a respective attribute are hidden from view. The areas of the network page may be dynamically expanded and collapsed to enable selection of various attribute values which may then be used to update the network page.

Abstract: A system for providing wireless guidance in a retail space includes a portable computing device configured to wirelessly receive a signal from a first transmitter located at a product in a retail space, parse the first signal for a plurality of textual elements, the plurality of textual elements including a first identifier that is a transmitter identifier and at least a second identifier, retrieve at least a product information datum using the plurality of textual elements, generate a display element using the product information datum, and display the display element to the user.

Abstract: A method for tracking products, involving a subprocess (100) for generating and associating codes with products, and a subprocess (200) for acquiring products is provided, which enable the consumer, by using his/her smartphone, directly to identify forged, adulterated or stolen products or those containing any information supplied by the manufacturer that prohibits the sale thereof, transforming the consumer into an active element in an integrated control system. The consumer becomes a terminal in a network, fully equipped with online communication and information tools, in addition to cameras and other sensors, making the consumer a potential agent for authenticating products and goods in general. Furthermore, a method (300) for validating encounters, capable of authenticating and validating an encounter between two or more mobile devices or between a mobile device and a fixed device is provided, the method (300) authenticating an encounter between two persons by use of their smartphones.

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: A method of assigning products to shoppers can be provided by determining that a plurality of shoppers are collaborating with one another to purchase a plurality of products included on a shared shopping list, receiving shopper characteristics for the plurality of shoppers, receiving respective parameters for the plurality of products included on the shared shopping list, assigning respective sub-lists of the plurality of products for picking by respective ones of the shoppers at a retail shopping location based on the shopper characteristics for the respective ones of the shoppers and the respective parameters for the plurality of products included on the shared shopping list, and providing the respective sub-lists of the plurality of products to the plurality of shoppers. Related systems are also disclosed.

Abstract: This application relates to apparatus and methods for batching orders for delivery. In some examples, a computing device may obtain order data identifying at least a first order and a second order. The computing device may determine whether the first order can be delivered to a first delivery address and the second order can be delivered to a second delivery address within a delivery time window. Based on the determination, the computing device may batch the first order and the second order to generate a batched order. In some examples, the computing device determines if the delivery vehicle can store the items for the first order and the second order to determine whether the orders may be batched. The computing device may generate assignment data identifying an assignment of the batched order to a delivery vehicle, and may transmit the assignment data to another computing device.

Abstract: Systems, computer programs, and methods for coordinating automated components and employee activities to facilitate fulfillment of orders for items and/or services sold by retailers and made available for delivery or pick-up at a retail location are provided. In some embodiments, the methods comprise: receiving an order; selecting a preferred source location for each retail item in the order; preparing a first portion of the order at a fulfillment center; preparing a second portion of the order at a first store; preparing a third portion of the order at a second store; combining the first and second order portions and loading the combined order portions onto a transportation vehicle for transfer to the second store; and assembling the order including the first, second, and third order portions at the second store.

Abstract: A computer-implemented method for providing a user interface to a user includes receiving wearable article data describing wearable articles for physical shipment to users via electronic interactions; generating a user interface for an electronic transactions platform based at least on the received wearable article data; causing display of the user interface depicting one or more of the wearable articles; receiving a selection of a wearable article of the displayed one or more wearable articles via the user interface; determining a condition of the selected wearable article at least based on the received wearable article data in response to the selection; reserving the selected wearable article for a predetermined period of time in response to the selection; updating and causing display of the user interface depicting the selected wearable article and the determined condition; and determining whether the selected wearable article is purchased or borrowed during the predetermined period of time.

Abstract: Disclosed is a method of providing item information by an electronic apparatus, the method including confirming information on a first item on the basis of a first input including selection information of user acquired from a first page, confirming whether a second item having identification information corresponding to the first item is present on the basis of the information on the first item, and providing a second page having a first widget including unit price information of the first item and unit price information of the second item and a second widget including payment amount information, in response to a second input for item purchase, when the second item is present and the unit price information of the second item is lower than the unit price information of the first item.

Abstract: An automobile maintenance application may link automobile owners with service providers and provide service reminders based on manufacturers' recommended scheduled maintenance. The automobile maintenance application may maintain maintenance records for automobiles. The automobile maintenance application may provide a system for service providers to send targeted advertisements to automobile owners in need of a service. The maintenance application may allow automobile owners to compare the prices and services of local service providers and benefit from the value associated with competition between service providers that is realized during a live or proxy auction.

Abstract: A system and method is provided for delivering customized information related to a specific product of interest to consumer. In practice, the consumer uses a suitably enabled portable, mobile and/or wireless device (e.g., such as a mobile camera phone) to scan or otherwise read a marker associated with a product, retail item or other article of interest. From the marker, a unique ID is obtained (i.e., the marker ID). The marker ID is then used to cross-reference a URL or other like address in a database that relates marker IDs to corresponding URLs. The target URL is returned to the consumer's device and an http session is established with a content management server at the target URL. In one suitable embodiment, the content management server obtains a SKU and/or template web page ID that are associated with the marker ID in a database. Suitably, the SKU relates to the specific product with which the marker was associated.

Abstract: Methods and systems for generating 2D images based on a 3D model are disclosed. 3D three-dimensional (3D) model data associated with a product offering in an online store are sent to a first electronic device, the 3D model data being generated from a stored 3D model. Data representing a selected value for a viewing parameter of the stored 3D model are received from the first electronic device. From the received data, a desired 2D view is determined for a stored 3D model. A recommendation is generated, for a second electronic device, to include the desired 2D view in a stored listing associated with the product offering.

Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.