Abstract: A call conversion tracking system that automatically tracks call-based communications initiated from web-based invitational content id disclosed. The system generates and presents a web-based invitation that includes a dynamically assigned telephone number that is assigned to an anonymous web visitor with advertising metadata that is usually sent to a web server when a user clicks (or taps) an online ad.

Abstract: Systems and methods for constraint-based optimization, comprising: an AI demand forecasting engine, an optimization engine, a user-defined objective, and a user-defined set of constraints. Using historical sales data, the AI demand forecasting engine generates a plurality of entities, each entity defined by a placement of an item in a promotion platform; and forecasts the objective associated with each entity. The optimization engine generates a plurality of plans, each plan consisting of a unique subset of entities. Plans that violate at least one constraint are eliminated by the optimization engine, leaving a set of candidate solutions. An optimum plan is selected from the set of candidate solutions based on maximization of the objective.

Abstract: Methods and systems for improved and efficient campaign message classification are disclosed. By automating the campaign message classification process, the system can improve efficiency in categorizing and managing campaign messages. The system can predict a message's type or characteristics via an ensemble model that comprises one or more logic-rule model(s) and machine learning language model(s). The ensemble model can process various data and predict a message's type or characteristics based on an aggregated prediction mechanism.

Abstract: There is provided a method and system for generating an output analytic for a promotion. The method includes determining, using an optimization machine learning model trained or instantiated with an optimization training set, at least one determined parameter for the promotion which optimizes at least one of received input parameters, the optimization training set comprising received historical data; forecasting, using a promotion forecasting machine learning model trained or instantiated with an forecasting training set, at least one output analytic of the promotion, the prediction training set comprising the received historical data, the at least one received input parameter and the at least one determined parameter; and outputting the at least one output analytic to the user.

Abstract: Offers and optimization have co-existed since long and industry has several solutions to address this need. However, identifying the right customer to target offers, assigning the right offer only when customer requires it and presenting offers even on long tail product is crucial to a successful offer assignment. Present application provides systems and methods that creating potential segments where in each user fits into any of the segments based on purchase history, navigation/behavior through e-commerce portal, demographics, and look-ahead scores. When a trigger is received in real-time, the system generates optimal real-time product recommendations for the users by eliminating popularity bias, based on his/her most recent product clicks in the e-commerce portal using a recommender system.

Abstract: According to one or more aspects of the present disclosure a wearable oral device is provided. The wearable oral device may include a mouthpiece; a bone conduction component; and a processing device. The processing device may detect one or more user interactions by a first user with the wearable oral device; and perform one or more operations in view of the one or more user interactions. The one or more user interactions may include a user interaction by the first user with the mouthpiece. The one or more operations may include presenting a content item via the bone conduction component of the wearable oral device. The content item may include audio content. In some embodiments, the content item comprises a voice message from a second user.

Abstract: The present disclosure relates to systems and methods for tracking content across multiple content outlets. Content items, characterized by first metadata, and content slots, characterized by second metadata, can be received. Third metadata for digital content slots can be generated. Fourth metadata can be received. A recommended content item package can be provided based on a comparison between a combination of the first metadata, the second metadata, and the third metadata and the fourth metadata. The recommended content item package can include a content file and a metadata file. A performance and a measurement of the recommended content item package can be determined by executing the metadata file to track the content file across one or more of the content slots and the potential digital content slots. The performance and the measurement can be provided.

Abstract: In one aspect, a method includes receiving merchant profile data describing attributes of merchants; generating, using one or more machine-trained models and the merchant profile data, a respective first profile for each merchant of the merchants; generating, using the one or more machine-trained models, a respective second profile for each of the plurality of merchant services using at least one type of description for each of the plurality of merchant services, wherein the respective first profile for each merchant and the respective second profile for each of the plurality of merchant services are numerically comparable; identifying a list of merchant service recommendations for at least one of the merchants using generated first profiles and second profiles; and configuring a merchant computing device of the at least one merchant with at least one merchant service selected by the merchant from the list of merchant service recommendations.

Abstract: Various examples are directed to systems and methods for utilizing purchase incentives in an electronic mobile wallet application. The mobile wallet application may receive a committable coupon data structure comprising terms data describing a purchase incentive and cryptographic verification data. The mobile wallet application may send a request to tokenize the committable coupon data structure to an element management system. The request may include an indication of a payment element associated with the mobile wallet application. The mobile wallet application may receive, from the element management system, a tokenized coupon data structure that comprises at least a portion of the committable coupon data structure and credential data for the payment element.

Abstract: Systems, apparatuses, and methods obtain and process data that may be used to identify or discover one or more “influencers” in business, finance, fashion, sports, current events, and other areas, and also to generate an indication of each influencer's expertise and ability to influence others with their posts or comments. A measure of each influencer's accuracy with regards to the contents of their previous comments or posts may also be generated. Based on determining the sentiment associated with each influencer's current posts or comments, an index or measure of the accuracy weighted sentiment expressed by a set of influencers with regards to an event, stock, trend, or other aspect may be generated and presented to a user to assist them in making a decision.

Abstract: A system, method, apparatus, and computer program product for interactively broadcasting value via a sound, a Wi-Fi, a Bluetooth, an email, a messaging, an RFID, or an NFC to incentivize direct consumer engagement. The system produces verifiable data on customer preferences, habits, and purchasing while using secure digital cryptographic technology to convey an item of value. The system is configured to transact a digital token normally carried on a blockchain leger in an off-ledger condition. The digital token is embedded with a media content. A mobile computing device having a representation of a digital wallet is configured to detect the digital token, decode the digital token and transfer the digital token back to the blockchain ledger. When validated by the blockchain ledger, the digital token is transacted to a digital wallet on the blockchain ledger.

Abstract: Facilitating connections between a customer and an employee of a business is described. Once the customer is within a proximity of a business, the customer can choose to interact with an employee of the business. The customer can select a product or section of the business and post a request or question. In response, an employee with expertise in the subject matter of the request or the question, can chose to respond to the customer. Thus, the customer can get help prior to entering the store. In addition, the customer can request the employee to facilitate the purchase of a product via the system described herein and leave the product in a pick-up area. After the interaction is complete, the customer can reopen the conversation at a later time with the same employee. As such, the system enables better customer engagement, a better buying experience, and a better post-purchase experience.

Abstract: A processing device receives set-top box data, sales data, and advertising data. The processing device associates set-top boxes from the set-top box data with viewers and calculates advertising exposure events for advertisements. The processing device further calculates, for each viewer, an advertising weight as a function of number of exposures of the advertisement as applied to the viewer based on the advertising exposure events. The processing device further calculates, for each viewer, a score representing a degree-of-targetedness between an advertisement campaign and the viewer. The processing device manages the advertisement campaign based on the advertising weight and the degree-of-targetedness.

Abstract: A call to action processor receives an entity datapoint containing data related to an entity, a campaign objective datapoint containing data associated with a campaign objective, at least one definite script element based on the campaign objective, and entity metadata containing data associated with the entity. The call to action further performs generating at least one variable script element based on the entity metadata, presenting to a device the at least one definite script element the at least one variable script element.

Abstract: Systems and methods are disclosed for providing non-intrusive advertising content to users. The method includes receiving user input reflecting user content preferences for receiving desired content related to specific topics in lieu of standard advertising content. The method may further include receiving a web request for electronic and then retrieving desired content based on user content preferences. Thereafter, the method may include choosing non-intrusive advertising content and generating one or more datagrams including the desired content and the non-intrusive advertising content. The requested electronic content along with generated datagrams content may then be provided for displaying.

Abstract: Systems and methods for interfacing with a third-party website. In one embodiment, a computer system is configured to directly interface with a website via a webpage to change certain numerical values through the use of digital codes. The digital codes are applied to a data entry interface on the webpage, and the responses are monitored and transmitted back to a server system.

Abstract: Disclosed are various aspects of computer-implemented systems and methods for enhancing safety in real estate transactions. In one aspect a user is provisioned with a real estate mobile application with a safety engine on a mobile computing device. Next, the user enters parameters or the application automatically populates parameters based off at least a safety timer limit, a time extension amount, an emergency contact, a timer authentication code, or an emergency code. Next, a user selects a property and visits, wherein the application initiates GPS tracking and checks the user in. The user's property visits, check in and check out are logged and streamed to a database for verification. If the user fails to check out or respond to the timer authentication code an emergency service is alerted and or the device emits an emergency audible sound.

Abstract: A television service provider system includes interactive elements embedded within advertisements or other content related to a particular product or service that a user may select to receive an initially non-redeemable coupon for the product. The system then electronically communicates to the seller or advertiser system the indications of such electronic interactivity between the viewers of content and content related to the product being sold or advertised. The advertiser or seller may then electronically activate and thus convert the non-redeemable coupon into a redeemable coupon. A system for processing retail transactions redeems the coupons for the product for a particular user using an identifier of the user associated with the account of the user with the television service provider.

Abstract: A system for engaging customers is disclosed, where the system is configured to receive information related to a plurality of offers provided by a plurality of entities, the information comprising one or more of location rules, time rules, and offer details; receive geolocation information from a user device; identify, from the plurality of offers, at least one offer, wherein the identifying is based at least in part on the geolocation information and the information related to the plurality of offers; obtain one or more first information comprising information related to one of the at least one offer; display the one or more first information, wherein the one or more first information further comprises information provided by at least one entity; select a first offer, wherein the selecting comprises sending a request for viewing, booking, and/or purchasing the first offer; and receiving an acceptance for the first offer.

Abstract: Example methods and systems for ad insertion decision-making comprise: identifying an ad insertion opportunity in which an underlying advertisement is available for replacement by an addressable advertisement; determining a first expected revenue corresponding to presentation of the addressable advertisement and a first expected cost corresponding to presentation of the addressable advertisement, wherein the first expected cost is based on a current pacing of an advertisement campaign of the addressable advertisement; determining a second expected revenue corresponding to presentation of the underlying advertisement and a second expected cost corresponding to presentation of the underlying advertisement, wherein the second expected cost is based on a current pacing of an advertisement campaign of the underlying advertisement; determining an expected value of the ad insertion based on the first and second expected revenues and the first and second expected costs; and causing performance of the ad insertion bas