Abstract: A user may create a wish/gift list and send the list to recipients, who have the option of accepting the list. Content being viewed or recorded by recipients who have accepted the list is scanned to determine whether the content is relevant to one or more items on the list. If so, an alert is displayed on a recipient device, which can be the same device as the displayed content. The recipient may select the alert to purchase the item(s) or obtain additional information about the item(s) for a subsequent purchase.

Abstract: A virtual salesperson system and method for tablet computers such as Apple's iPad can be used by the customer (as opposed to most applications which are for the dealer, or on a central kiosk) to provide the customer a tour of a showroom and each vehicle, highlighting key features and other content at the discretion of the OEM, such as videos tours conducted by their spokesperson. In at least one embodiment, the customer can also search inventory, potentially at this dealer and other ‘friendly’ dealerships with whom this dealer has a trading relationship. Other sales tools such as build and price, payment estimation, etc are available as well.

Abstract: A device may receive customer data associated with customers of items, and may identify customer characteristics based on the customer data. The device may process the customer characteristics, with a first model, to group the customers into groups of customers, and may process item data and data identifying the groups of customers, with a second model, to determine associations between the item data and the groups of customers. The device may receive, from a user device associated with a particular customer, particular customer data, and may identify particular customer characteristics based on the particular customer data. The device may assign the particular customer to a particular group, of the groups of customers, based on the particular customer characteristics, and may generate an item recommendation, for the particular customer, based on the item data associated with the particular group. The device may provide the item recommendation to the user device.

Abstract: Systems and methods for processing customer requests to access purchasable items using financial assessments are described. A customer using a mobile device can identify a good of interest and transmit a request to access and test it. A financial institution computing system with a database of customer financial information can generate a financial assessment of the customer and the customer's identified good, which can then be used to determine whether the customer's request should be granted.

Abstract: Techniques are provided for estimating a delivery time for a product in a supply chain. One method comprises obtaining an order for at least one product; calculating a similarity-based feature and/or a proximity-based feature for the order; and applying the calculated similarity-based feature and/or the calculated proximity-based feature for the order to a machine learning engine that generates an estimated delivery time for the order, wherein the machine learning engine is trained using characteristics from historical orders. The similarity-based feature for the order can be calculated using a delivery time value of historical orders in a given order cluster where the order was assigned based on a predefined distance metric between the order and features of each order cluster. The proximity-based feature for the order can be calculated using a delivery time value of the historical orders that satisfy one or more predefined recency criteria.

Abstract: Some aspects of the present disclosure are directed to computerized methods for extracting attributes from product titles. The method may include: retrieving first product identifier comprising at least one tag; determining, based on the at least one tag, a number of quantity related tags; flagging the product identifier as having a quantity based on an analysis of the quantity related tags; comparing the at least one tag and quantity of the first product identifier with at least one tag and quantity associated with a second product identifier; generating, based on the comparison, at least one similarity value between the first product identifier and the second product identifier; and transmitting instructions to at least one user device, wherein the instructions cause the at least one user device to display the at least one similarity value.

Abstract: Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.

Abstract: Provided is an information provision system which determines preference of a user based on a dialogue with the user utilizing an Internet shopping site and determines a recommended commodity based on the determined preference. An information provision server in an information provision system receives utterance (input) by a user utilizing an Internet shopping site via a user terminal and provides a response thereto onto the user terminal, thereby performing control so as to have a conversation with the user. Further, based on the input by the user and user attributes, the information provision server determines a user type of the user and when a recommended commodity is presented to the user, determines the recommended commodity from among commodities purchased by other user whose user type is the same as the user type of the user.

Abstract: In an exemplary embodiment, software made in accordance with the present invention generates a request for quote (RFQ) based on user-provided information, presents a user interface allowing a user to customize the RFQ, generates an e-mail including the RFQ, and sends the e-mail to one or more suppliers. Various corresponding and related systems, methods, and software are described.

Abstract: Systems, methods and apparatuses are disclosed for implementation and management of a dynamic compute and application marketplace. The dynamic computer marketplace system can coordinate access to one or more other computing resources, including on-premises computing resources, external (or off-premises) computing resources or a combination thereof. In various embodiments, the dynamic computer marketplace system advantageously can be used to facilitate inter-provider migration, transparent pricing, and/or competitive pricing, among other things.

Abstract: The present invention is directed to a system, method, and apparatus for managing a packaging article secured via a locking unit alterable between a locked state and an unlocked state. An indication that a user desires to handle the article may be received and an authorization of the user to handle the article may be performed. An actuator may cause the locking unit to alter from the locked state to the unlocked state, for example, based on the user being authorized to handle the article. Based on the user desiring to purchase the article, inventory information of the article may be updated by decreasing the number of articles in inventory by the article purchased. An account of the user may be charged a cost of the article. An indication may be provided to the user that the article has been purchased.

Abstract: The present disclosure allows shopper users to receive offers for items and services without having do use any traditional search engine. According to an embodiment of the present disclosure, the shopper will see different offers for the exact items and those that closely resemble the items the shopper needs as well as services.

Abstract: The disclosed embodiments relate to a computer implemented recommender system/method which enables the computer to provide more “emotionally” relevant/connected, and therefore more likely to be successful, recommendations while minimizing dependency on historical data as well susceptibility to bias, e.g. monetary and/or sponsor based. The disclosed embodiments segment a target set of known users into groups based on similar characteristics and then associate each group with one or more unique sets of affinities derived from the social media interactions of a general population having similar affinities. Similarly, a unique set of affinity characteristics is derived, and stored in a data structure, for each of a set of recommendations. The unique sets of affinities associated with the groups are compared with the set of affinity characteristics associated with each recommendations to derive a subset thereof relevant to the users of the particular group.

Abstract: A system and method of detecting a pick-up of an item are provided. The method includes receiving at least one data packet from at least one IoT tag, extracting a frequency word from the at least one received data packet, wherein the frequency word is a measure of the at least one IoT, analyzing the frequency word to determine a pick-up event to be associated with a pick-up of the item attached to the at least one IoT tag, and upon detecting the pick-up event, sending a notification including an identification of the at least one IoT tag, wherein the notification incudes collateral product information associated with the picked-up item attached to the at least one IoT tag, and displaying the collateral product information of the picked-up item on a display on a physical location of the picked-up item.

Abstract: The embodiments herein provide an internet-based virtual travel system and method that allows people (viewers or virtual travelers) to explore any destination or location in real-time without having to be physically present at those destinations or locations by means of other people (serving as guides or virtual travel guides) who are physically present at the destinations or locations and use one or more mobile devices and/or wearable devices and/or accessories to stream real-time video.

Abstract: Methods, devices, and system for generating an updated webpage. A computing device may retrieve a product webpage, generate a structural model of the retrieved product webpage, and determine whether the generated structural model matches a stored structural model of another webpage retrieved from the web address. The computing device may extract product information from the generated structural model based on a previously stored mapping of nodes in the stored structural model to the product fields, or generate a mapping and extract the product information from the generated structural model based on the generated mapping, based on whether the generated structural model matches the stored structural model of another webpage retrieved from the web address. The computing device may generate an updated webpage based on the extracted product information.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for message timing optimization. A message timing optimization system determines optimized times to transmit messages to users based on historical transaction data. For example, the message timing optimization system may determine an optimal time to transmit a recommendation message to a user to perform a subsequent, such as repurchasing an item, refreshing a password, and the like. The message timing optimization system uses historical transaction data describing previous transactions performed by the user and/or other users to determine probability values indicating the likelihood that a user will perform a subsequent action at various time periods after the user performed an initial transaction.

Abstract: An end-user device operable in a retail store records a voice conversation held in the retail store. The recording is transmitted to a server for comparing it to recordings of other conversations from a plurality of other retail stores. The server makes a recommendation based on the comparing. Embodiments of the invention are also directed to an analytics system that collects real-time metrics data for various virtual or physical retail stores associated with a plurality of contact centers. The system performs real-time analytics of the collected metrics data for identifying a product or service. The processor modifies, based on the real-time analytics, a prior service or product to be offered by a particular retail store, with the identified service or product. The processor pushes the modified service or product for display on the end-user device use in the particular retail store.

Abstract: Methods and systems for selecting fare paths. A machine learning model is trained on historical fare path data. An output of the machine learning model provides a fare path selection prediction for each fare path. In response to a request from a client device, flight paths fulfilling the request are determined, fare paths are determined by combining the set of flight paths with pricing units, the machine learning model is applied on the fare paths to determine a subset of fare paths for which the selection prediction is higher than a threshold, details of the subset of fare paths are queried, valid fare paths are determined, and details of a subset of the valid fare paths are returned to the client device. The details of the subset of the valid fare paths may be displayed on the client device for final selection of a fare path.

Abstract: According to certain aspects of the disclosure, a computer-implemented method may be used for providing a vehicle recommendation based on user gestures. The method may include displaying at least one image of a vehicle to a user and receiving at least one gesture from the user performed on the at least one image of the vehicle. Additionally, the method may include assigning a value to the at least one gesture from the user and determining a feature of the vehicle based on the at least one gesture from the user. Additionally, the method may include receiving gesture information related to the at least one gesture and determining a vehicle preference of the user based on the value, the feature of the vehicle, and the gesture information. Additionally, the method may include identifying at least one available vehicle based on the vehicle preference of the user and displaying the at least one available vehicle to the user.