Abstract: The disclosed embodiments can be used to automate the acquisition and management of user consents for one or more campaigns, thus reducing the possibility of unintended violations of consent requirements as compared with existing systems. In accordance with the disclosed embodiments, each user consent may be associated with at least three different values. The consent management system may be configured to filter consent values for various users and send user-consent requests to certain users based on their filtered user-consent values. In some disclosed embodiments, a user may provide consent to allow communications of the user's information to certain “connected parties.” The connected parties, moreover, may need to separately provide user consent(s) as necessary to effectuate communications for a campaign in compliance with one or more laws, rules, or regulations.

Abstract: The present disclosure relates to a system, method, and computer program for adjusting operations of a customer service application based on metrics generated as a result of substantially real-time monitoring of entity states within the customer service application. The system receives entity events from a plurality of services associated with the customer service application. It tracks states of entities in substantially real time within the customer service application based on the events and the state machine logic for the customer service application, including identifying any entities in an anomalous state. For each non-anomalous state transition, one or more state transition measurements are calculated. The system generates metrics for the customer service application based on the state transition measurements for entities in a non-anomalous state and adjusts the operations of the customer service application in substantially real time based on the metrics.

Abstract: Systems and methods including receiving, from a merchant system associated with a merchant, a first set of weight values corresponding to websites configured to receive one or more reviews associated with the merchant, determining, based on the first set of weight values, a first set of target distribution values corresponding to the plurality of websites, providing, to a first user system, a first request to provide a first review of the merchant, the first request comprising a first link corresponding to a first website of the plurality of websites, receiving, via an application programming interface associated with the first website, information associated with the first request, providing information associated with the first request, receiving a first updated weight value corresponding to the first web site and a second updated weight value corresponding to a second website of the plurality of websites, identifying, by a container associated with a second request to provide a second review of the merchan

Abstract: Systems and methods for data corroboration and forecasting in which a sever generates structured customer feedback data from unstructured customer verbatim data and uses unsupervised machine learning modeling techniques to identify similar word clusters within the structured customer feedback data, classifies the identified word clusters into multiple categories of customer issues, and detects one or more trending customer issues within the multiple categories. The server may also retrieve web/mobile application usage analytics data and system logs data and use unsupervised machine learning modeling techniques to corroborate customer web/mobile navigation and service issues associated with the structured customer feedback data.

Abstract: Embodiments described herein are generally directed to use of a chatbot to identify a customer-specified product support issue and provide appropriate troubleshooting guidance. According to an example, free text input describing an issue associated with a product line of a vendor is received from a user via a chatbot. A vector representation of the issue is created by tokenizing and vectorizing the free text input using a word association model corresponding to the product line. It is determined whether the issue matches at least one category within multiple issue categories for the product line by performing similarity scoring between the vector representation and multiple vectors created based on top words per issue category of the multiple issue categories. Responsive to an affirmative determination, an automated, interactive, conversational troubleshooting dialog is initiated with the user via the chatbot and guided based on a decision tree for the at least one category.

Abstract: A system can include, for example, a secure data module(s) configured to store sensitive data regarding the user(s), a synthetic dataset generating module(s) configured to generate the synthetic dataset based on the sensitive data, and a control module configured to receive a request from an application for a dataset related to the user(s), provide the request to the synthetic dataset generating module(s), receive the synthetic dataset from the synthetic dataset generating module(s), and provide the synthetic dataset to the application. The synthetic dataset generating module(s) can be configured to generate the synthetic dataset based on the dataset.

Abstract: Aspects of the disclosure relate to enhanced chain of custody certification. A computing platform may establish, within a period of time of receiving data, a first distributed ledger that includes the data. The computing platform may receive a request to access the data. The computing platform may compute a first hash of the data indicating a state of the data prior to being accessed, and may record the first hash in a second distributed ledger. After granting data access, the computing platform may receive first information indicating actions performed on the data and second information indicating reasons for accessing the data. The computing platform may compute a second hash of the data indicating a state of the data after being accessed, and may record the second hash and the second information in the second distributed ledger. The computing platform may record, in a third distributed ledger, the first information.

Abstract: A system and/or method can be provided for improving applicant diversity by giving institutions selectable and adjustable application windows, thereby providing a number of benefits including an enriched learning environment. A similar system or method may be used to manage the availability of application windows in general to ensure that a diversity of applicant groups have an opportunity to apply.

Abstract: A mobile terminal apparatus includes: an evaluator configured to, based on pre-purchase information relating to activities of a user during a pre-purchase period before purchase of an electronic ticket and post-purchase information relating to activities of a user during a post-purchase period after the purchase of the electronic ticket, evaluate identicalness of the user during the post-purchase period and a person who purchased the electronic ticket; and a setter configured to set a state relating to validity of the electronic ticket based on a result of the evaluation by evaluator.

Abstract: A system for evaluating the effectiveness of an anti-counterfeiting measure employed for an item is provided. The system trains a classifier to indicate whether the anti-counterfeiting measure of an evaluation item is genuine or counterfeit. For evaluation items that have been classified as genuine or counterfeit, the system applies the classifier to determine whether the anti-counterfeiting measure of that evaluation item is genuine or counterfeit. The system then generates an effectiveness metric that indicates whether the anti-counterfeiting measure is effective based on evaluation items that are assessed as being genuine whose anti-counterfeiting measures are classified as being counterfeit.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provision itself to provide automated customer support. The humanoid can be trained for a customer support campaign. The training can include the humanoid observing communications between a human operator and at least one customer regarding at least one customer support case in the customer support campaign. The humanoid can assess at least one confidence level of the humanoid for the customer support campaign to determine whether the humanoid is adequately trained to handle future customer support cases for the customer support campaign. The humanoid can provision itself to handle at least one future customer support case in the customer support campaign in response to determining that it is adequately trained for the customer support campaign.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing assistance for customer service agents are disclosed. In one aspect, a method includes the actions of receiving, by a computing device, customer interaction data that reflects an interaction between a first user and a second user. The actions further include receiving, by the computing device, a customer summary file that reflects characteristics of the first user. The actions further include, based on the customer interaction data and the customer summary file, determining, by the computing device, instructions for the second user to continue interacting with the first user during the interaction between the first user and the second user. The actions further include, based on determining the instructions, providing, for output to the second user, the instructions for the second user to continue interacting with the first user.

Abstract: Systems, computer program products, and methods are described herein for intelligent assessment models for non-fungible electronic resources. The present invention is configured to receive, from a user input device, a request to value a non-fungible token (NFT) of a resource, wherein the NFT is recorded in a distributed ledger; retrieve, using a valuation engine, one or more attributes associated with the NFT from one or more metadata layers of the NFT; initiate a machine learning model on the one or more attributes associated with the NFT; predict, using the machine learning model, a value of the NFT; and transmit control signals configured to cause the user input device to display the value of the NFT.

Abstract: A micro-application framework includes instantiating, on a client computer, a user interface configured with a hosting application operable to execute one or more micro-applications. During runtime of the user interface, a request for a CRM function is received. A request is sent for a micro-application that corresponds to the requested CRM function. The user interface receives from a server hosting the micro-application a data package that includes the micro-application corresponding to the requested CRM function. The executable code in the data package is executed in the hosting application via the execution environment. One or more interactive areas are rendered that are configured to display information pertaining to the requested CRM function.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing assistance for customer service agents are disclosed. In one aspect, a method includes the actions of receiving, by a computing device, customer interaction data that reflects an interaction between a first user and a second user. The actions further include receiving, by the computing device, a customer summary file that reflects characteristics of the first user. The actions further include, based on the customer interaction data and the customer summary file, determining, by the computing device, instructions for the second user to continue interacting with the first user during the interaction between the first user and the second user. The actions further include, based on determining the instructions, providing, for output to the second user, the instructions for the second user to continue interacting with the first user.

Abstract: Artificial intelligence directed controlled-environment facility resident support ticket response and/or action may provide access to a controlled-environment facility media and/or communications terminal or device support application program via one or more controlled-environment facility media and/or communications terminals and/or a plurality of personal controlled-environment facility resident media and/or communications devices, which accept input of a support request, via the support application program, from a controlled-environment facility resident. A controlled-environment facility media and/or communications device services platform receives the request, determines an assigned weight of words in the request and selects one or more passages of predefined response text to compose a response to the request, based on a determined weight of words in the request and tags associated with these words and the passage(s) of predefined text.

Abstract: The present technology pertains to keeping track of a purchase status of a product and delivering pre-purchase product experiences prior to the purchase of the product and a post-purchase product experience after the purchase of the product. The present technology provides for a device to identify a product and to request a purchase experience that is both informative and useful based on the purchase status of the product.

Abstract: Systems and methods are provided for diagnosing an issue associated with an enterprise application on a client device by initiating a communication from the client device to a CSR device to report the issue, generating a matter identifier associated with the reported issue, transmitting a communication containing a deep link to the client device, invoking the deep link to initiate mining of logging data corresponding to the use of the enterprise application and stored locally on the client device, formatting and/or tagging the mined logging data with the matter identifier, transmitting the formatted mined logging data from the client device to the CSR device and/or a proprietary server, analyzing the mined logging data to diagnose a source of the reported issue, and attempting to resolve the reported issue based on the analysis of the mined logging data.

Abstract: A computer-implemented method for accurately identifying related incidents using textual data and contextual data includes receiving incident data associated with a computing system, wherein the incident data further comprises textual data and contextual data associated with the incident data. One or more relevant incidents associated with the received incident data is identified by applying an artificial intelligence model on the textual data associated with the received incident data. The identified one or more relevant incidents associated with the received incident data is provided to a site engineer device and the provided one or more relevant incidents is resolved.

Abstract: Examples provide customized authorization of item self-returns. A customized returns manager component calculates a customized return-trust score and a per-item return value based on analysis of item data and transaction history data. If a per-user return-trust score is within an unacceptable threshold range or an item value is within an unacceptable threshold value range, a second user is assigned to assist a first user with completion of the proposed return of the selected item. If the per-user return-trust score and the item value is within an acceptable threshold range, a return authorization component authorizes unassisted self-return of the selected item. An item disposition component determines in real-time whether to permit the first user to keep the selected item or instruct the first user to return the selected item to a designated item return area prior to completion of the item return based on a set of item disposition criteria.