Abstract: Systems and methods are disclosed for a network inventory service (NIS). An NIS may, for example, profile a private network for personalized advertising by recording a list of devices connected to the private network, recording traffic data for the private network, and generating profile associated with the private network based on the recorded list of devices and the recorded traffic data. The NIS may be notified, e.g., of a device within the private network, an advertising avail, request, from an advertising service, a targeted advertisement based on the user profile, and cause the targeted advertisement to be inserted in the advertising avail. In some embodiments, an NIS may work in conjunction with an inventory profile service (IPS) and/or an ad presentation service (APS). An IPS may deliver rules for analyzing new devices and/or network traffic and an APS may communicate with the NIS along with various advertiser networks to supply personalized ads.

Abstract: A method is described for controlling operations of an automated refill system (AFS) to support automated communications with a plurality of interactive voice response (IVR) systems in fulfillment of a prescription order. Upon receiving a request message to refill a medicinal prescription order from a first IVR system, the AFS is configured to determine whether it is able to communicate with the first IVR system associated with a first pharmacy identified in the request message. Thereafter, the AFS determines whether the first IVR system associated with the first pharmacy provides a medication identified in the request message at a lowest cost. If so, the AFS continues operability with the first IVR system. Otherwise, the AFS selects a second IVR system associated with a second pharmacy to handle the refill order when the second pharmacy can provide the medication at a lowest cost.

Abstract: An advertising campaign may be carried out using moving outdoor advertising. Advertisers typically like to manage and track the success of their advertising campaigns. Aspects of the present application may be seen to assist with such management and tracking by providing impression analytics, location analytics, time analytics and frequency reports. Furthermore, aspects of the present application may be seen to provide an ability to augment a moving outdoor advertising campaign with a mobile device retargeting advertising campaign. Then, such metrics as return on investment, profit and gross profit may be tracked. In some aspects, Wi-Fi signals and Bluetooth signals may be collected from mobile devices that are in the range of a Moving Impression Analytics Tracking Device.

Abstract: A system for energy management in a water treatment comprises at least one processor coupled to at least one non-transitory computer-readable medium storing a high-level energy optimization machine learned model (HLEOMLM) and a low-level energy optimization machine learned model (LLEOMLM), and a clean-in-place (CIP) system. In general, the processor is configured to obtain input data from an input data source, and constraints data from a constraints data source. The processor executes the HLEOMLM and LLEOMLM to process the input and constraints data to provide as output a long-term maintenance schedule that optimizes energy consumption and a current-maintenance schedule that optimizes operating cost for the water treatment plant. The CIP system receives the output from the processor and executes at least one of a CIP maintenance process and MR maintenance process in response to the output.

Abstract: Systems and methods for post transaction seasonal item recommendations are disclosed. In some embodiments, a current seasonal time window associated with a seasonal event and some seasonal product types is determined. Based on historical transaction data of the seasonal product types, a first seasonal index score is computed for each item, and a second seasonal index score is computed for each product type including one or more items. A seasonal rank score is generated for each item based on the first seasonal index score and the second seasonal index score, such that the items in the historical transaction data are ranked based on their respective seasonal rank scores. Based on the ranked items and a transaction order from a user, a list of recommended items is generated and displayed to the user.

Abstract: A system and methods for a universal integration framework for data analytics pipelines are disclosed. According to one embodiment, a computer-implemented method maintains internal consumer data that has a consumer ID associated with a consumer based on events at a partner platform. The platform server determines target characteristics based on instructions provided by a client or the internal consumer data and generates a target consumer group associated with an internal project ID based on the target characteristics, wherein the target consumer group includes the consumer ID and internal consumer data associated with each consumer. The platform server transmits the target consumer group to the partner platform and receives partner event data indicative of updates to consumer data. The platform server generates an updated target consumer group based on the updated consumer data and transmits updates to the partner platform to improve consumer interest.

Abstract: Examples described herein include systems, methods, instructions, and other implementations for data security with integrated promotion systems. In one example, account security system receives a checkout communication that includes data describing a validated checkout system of a merchant system, where the checkout communication does not include a purchase promotion option. A client token is transmitted in response to an authentication that the checkout communication is from the validated checkout system, and an account communication including the client token and secure client information is received from a client device. A plurality of promotion options associated with the secure transaction is transmitted in response to the account communication, and a promotion selection for the secure transaction is received from the client device and not from the merchant system.

Abstract: An automated method and computer program product are provided for performing multi-channel attribution for conversion events associated with a plurality of consumers. Each consumer has an associated consumer identifier. Each conversion event is associated with a brand or product that has corresponding media advertising electronically delivered on a plurality of different media-based delivery channels to the plurality of consumers via a plurality of media devices associated with respective consumers. Media advertising exposure is electronically detected for each conversion event. Attribution for each of the delivery channels is then electronically determined.

Abstract: A system and method for managing healthcare diagnosis and treatment may comprise interfaces configured to communicate with internal and external data sources, a workflow engine configured to execute rules on the data, and a machine learning engine configured to process the data and provide the workflow engine with a probability of a test condition. The system and method for managing healthcare diagnosis and treatment may determine, order, send, and execute an appropriate test for a patient. The system and method for managing healthcare diagnosis and treatment may process, record, and communicate the test results.

Abstract: Aspects and embodiments relate to a method and apparatus configured to perform that method. The method relates to generating an indication of relevance associated with a selected biological phenomenon indicative of condition of an immune system of a patient, that selected biological phenomenon being associated with response of a patient to a chosen therapy. The method comprises steps of: determining one or more measurable input parameters characteristic of the patient and associated with the biological phenomenon; mapping the one or more input parameters to a contribution to a score associated with the selected biological phenomenon; and combining the mapped contributions across the one or more input parameters to calculate the score associated with the selected biological phenomenon.

Abstract: An example operation includes one or more of receiving an opt-in request to display information on a display of a vehicle configured to be viewed from outside of the vehicle, authenticating the request to allow displaying information on the display, determining information associated with the vehicle to be displayed on the display, determining misuse of the information displayed on the display based on a notification from another vehicle, and flagging the misuse.

Abstract: A system and method in accordance with exemplary embodiments may include advertiser auctions based on segmentation informed by purchase data, including a financial institution, one or more advertisers, and a bidding server to facilitate advertiser bidding. Additionally, a system and method in accordance with exemplary embodiments may pool customer and/or transaction information in one or more databases. The system and method in accordance with exemplary embodiments may also utilize a bidding server to permit advertisers to bid on access to information or the ability to present an advertisement and/or offer to a customer.

Abstract: Contextual data may be generated from assets in asset portfolios using metadata enrichment services. A recommendation engine may generate a set of recommended assets for presentation in a content stream based on the contextual data. Brand safety may be implemented using a brand safety policy that uses the contextual data as indicators of potentially offensive content. Advertisements included in the content stream may also be targeted based on the contextual data.

Abstract: Example computer executable instructions for determining a consumer's offer eligibility using a predicate logic tree against sets of input data are provided. In particular, the disclosed examples recite a rewards engine capable of determining a consumer's offer eligibility using a predicate logic tree against sets of input data. The rewards engine applies rules that are relevant to a particular deal offered by a retail establishment to the consumer's records to determine the consumer's offer eligibility. In some examples, the rewards engine sorts or partially sorts some or all of the consumer's records to determine the consumer's offer eligibility.

Abstract: One or more computing devices, systems, and/or methods for generating a user-specific transaction interface are provided. In an example, a datastore of a user may be searched for an indication of a potential transaction. The datastore may include an email mailbox and/or a record of web browsing. In response to identifying the potential transaction, the datastore of the user, a partnership datastore and/or a network may be searched for an opportunity associated with the potential transaction. In response to identifying the opportunity associated with the potential transaction, a user-specific transaction interface may be generated. The user-specific transaction interface may include one or more selectable inputs for engaging in a version of the potential transaction. The user-specific transaction interface may be provided for display on a device of the user.

Abstract: Methods and systems relating to generating and correlating metadata with a content item are disclosed. For example, a computing device may generate one or more timestamp indicators to be associated with a content item. Each timestamp indicator may be correlated to metadata and may be associated with a time point or time interval in a duration of the content item. A requesting device may generate a request for metadata that may comprise an identifier of a timestamp indicator. The request may be generated, for example, based on determining a user of the device is requesting display of an interactive application. Upon receiving a metadata request comprising an identifier of a timestamp indicator, a computing device may transmit metadata correlated to the timestamp indicator to the requesting device or to another user device.

Abstract: A unique session is obtained and an anonymous session is generated that maps to the session. The anonymous session is passed to a selected advertisement service, and the selected advertisement service provides, in response thereto, an interface, which is proxied together with an existing interface of a device (associated with the unique session) during the unique session for a consumer to interact with the proxied interface on the device.

Abstract: An information processing device includes: an acquisition unit that acquires vehicle information relevant to a vehicle; an identification unit that identifies a driver of the vehicle based on the vehicle information acquired by the acquisition unit; a management unit that manages a plurality of pieces of driver information relevant to the driver identified by the identification unit; and an acceptance unit that accepts a selection about a management method for the driver information by the management unit.

Abstract: Systems, methods, and apparatus are disclosed for managing a loyalty program. In some embodiments, a system includes a loyalty program management (LPM) system and a point-of-sale (POS) terminal. The POS terminal is configured to read a membership identifier, identify a plurality of goods, complete a sale of the identified plurality of goods to the member, and transmit, to the loyalty program management system, the read membership identifier and information about the identified plurality of goods. Based on the received information, the LPM system is configured to identify one or more point categories, and update earned loyalty points of the member in each of the identified one or more point categories. The LPM system is further configured to provide the POS terminal with a redemption value to be applied to the sale.

Abstract: A processor may receive a route request from a user. The processor may receive data associated with predicted routes of one or more nearby vehicles. The processor may select a recipient vehicle from the one or more nearby vehicles, where the recipient vehicle is selected based on recipient selection criteria. The processor may determine one or more driving change requests for the recipient vehicle. The processor may send the one or more driving change requests and a proposed token to the recipient vehicle. The processor may provide a token to the recipient vehicle in response to the recipient vehicle implementing the driving change requested.