53 results about "Customer engagement" patented technology

Systems and methods for generating a message that is to be sent electronically to a user include the use of an artificial intelligence or large language model (AI / LLM) service to provide recommendations about how a message could be changed to improve customer engagement with the message. The systems and methods can present an individual generating the message with options for making changes to a draft of the message, and the individual can then select the changes that are to be made to create a final version of the message. In some instances, the systems and methods include analyzing the change recommendations provided by a AI / LLM service to ensure they will actually improve customer engagement and not clash with or impair the original purpose of the message.

A method and system for optimizing a goal using artificial intelligence (AI) models. The system employs large language models (LLMs) for data normalization and message generation, alongside machine learning (ML) models for continuous training and optimization. It integrates structured and unstructured data into embeddings to evaluate performance metrics and iteratively refine outputs aligned with predefined criteria. The approach dynamically adapts to changes, enabling real-time decision-making and improved efficiency in applications such as customer engagement, sales, and marketing.

The invention discloses an electric power AI digital virtual business system, which relates to the technical field of electric power business systems and comprises a data layer, an application service layer and a safety guarantee layer. The data layer comprises a data acquisition module and a data processing module, the data acquisition module is used for collecting customer data, power business data and external data in real time and providing basic data for subsequent data processing and analysis, and the data processing module is used for sorting, storing and preliminarily analyzing the collected original data. According to the invention, the virtual business hall is constructed by means of VR / AR technology, real-time guidance of a virtual guider is cooperated, and natural dialogue interaction is realized in combination with the intelligent interaction module, so that the business handling process is more intuitive, the sense of participation of customers is improved, the customers do not need to go to an entity business hall and handle businesses and consult questions anytime and anywhere through various terminals, and the business handling efficiency is improved. For example, a one-key electricity handling module can be used to complete a complex electricity handling process at home, so that time and energy are greatly saved, and service accessibility is improved.

Transactional Neural Reasoning AI (TNRAI) is a novel class of artificial intelligence designed to simulate human-like reasoning during live, multimodal user sessions. TNRAI departs from traditional static inference models by integrating a five-pillar architecture: (1) delta-path modeling for real-time outcome deviation detection, (2) skew-based adversarial recognition, (3) vector memory recall for behavioral context, (4) ambient reasoning overlays to incorporate situational data, and (5) a multi-logic arbitration engine that fuses rule-based, statistical, situational, and historical reasoning. The system evolves continuously via a CI / CD feedback loop, adjusting its logic and thresholds based on live outcomes. TNRAI supports overlays such as time or location constraints to influence reasoning and can activate conditional triggers based on logic patterns or confidence thresholds. This architecture enables adaptive, deliberative decision-making in real time, extending the utility of AI across domains such as automation, compliance enforcement, customer engagement, and transaction-based system control.

This system provides a technical solution for managing product sales, inventory, and deliveries through QR codes and predictive analytics. It incorporates algorithms that generate and assign unique QR codes to products based on real-time sales data from farmers. These QR codes provide direct links to product information, facilitating efficient inventory management and customer engagement. The system also leverages predictive analytics to forecast product demand by analyzing historical sales data, adjust inventory levels, and optimize delivery driver assignments based on proximity to farms. The hardware supporting the system includes servers, processors, network components, and scanning devices to ensure reliable operation and data synchronization. By automating QR code generation, integrating sales data, and dynamically assigning drivers, the system improves operational efficiency, minimizes errors, and enhances the customer experience.

A method and system for optimizing a goal using artificial intelligence (AI) models. The system employs large language models (LLMs) for data normalization and message generation, alongside machine learning (ML) models for continuous training and optimization. It integrates structured and unstructured data into embeddings to evaluate performance metrics and iteratively refine outputs aligned with predefined criteria. The approach dynamically adapts to changes, enabling real-time decision-making and improved efficiency in applications such as customer engagement, sales, and marketing.

This disclosure includes systems and method to manage customer incentivization and participation in virtual power plant (“VPP”) opportunities. A customer may enroll energy assets into VPP and may receive requests to participate in VPP opportunities as a grid has an impending demand for power greater than the supply of the grid. By participating, a user may earn rewards. By committing energy assets and not participating, or by not responding to requests for enrolled energy assets to participate in VPP, a user may receive a penalty. Participation in VPP may be requested on a grouped basis where some groups may have greater rewards and greater penalties but require more reliable participation from a user. Users may be automatically reassigned between groups based on a reliability metric.

Aspects of the disclosure relate to computing platforms that utilize machine learning to perform output generation based on intent identification. The computing platform may train intent orchestration models (e.g., intent identification, output generation, or communication channel) using historical data. The computing platform may data corresponding to an individual. Based on the data, the computing platform may select intent identification models, and may use them to identify an intent. Based on the intent of the individual, the computing platform may select engagement output generation models, and may use them to generate a customer engagement output. The computing platform may use a communication channel model to identify a communication channel. The computing platform may send commands directing display of the customer engagement output, which may cause a user device to display the customer engagement output using the communication channel.

To provide a system.SOLUTION: A system includes means for generating text using artificial intelligence, means for supporting creation of content and messages to communicate a brand's story and values, and means for increasing engagement with customers.SELECTED DRAWING: Figure 1

Artificial intelligence (AI) supported interactive platforms for generating captive insurance policy proposals based on standard market insurance policy data are described. An example system includes one or more processors configured to execute machine-readable instructions to ingest standard market insurance policy documents, extract structured policy data from the standard market insurance policy documents, generate a captive insurance policy proposal based on the structured policy data, implement client engagement features configured to facilitate generation and delivery of an email that includes the captive insurance policy proposal as an attachment thereto, and implement a graphical user interface including a dashboard having one or more dashboard layers, the dashboard including first, second, and third areas respectively configured to enable a user of the system to invoke the ingestion of the standard market insurance policy documents, invoke the generation of the captive insurance policy proposal, and invoke the implementation of the client engagement features.

In an illustrative embodiment, systems and methods for an augmented reality (AR) system enable merchant-to-customer engagement through context-aware digital content placement. In an embodiment, one element of the system allows merchants to upload, customize, and place AR media objects, and another element allows customers to discover and interact with said content in real-world environments. In an embodiment, another element of the system dynamically ranks and serves AR content based on user behavior, demographics, time, and location. In alternative embodiments, an artificial intelligence engine dynamically generates personalized AR media objects based on real-time user preferences, history, and environmental context. In some embodiments, features include interactive merchant storefronts, digital promotions, real-time analytics, user rewards, breadcrumb-based AR trails, and dynamically personalized AR experiences to encourage repeated engagement.

This application is directed to methods of driving customer engagement on ecommerce platforms by using games as an incentive after a purchase. The inventive subject matter involves assigning tokens to a user who completes a purchase, granting the user access to a set of games, receiving a game selection, granting user entry to the game, and enabling the user to redeem the tokens to play the game. Embodiments also involve defining a prize pool structure and a prize distribution structure for each game and adjusting them based on the number of entrants. Some embodiments further involves using customer tracking and analytics tools, artificial intelligence, and social features to enhance the customer experience and loyalty.

The invention discloses an activity strategy construction method and device and a financial service system, and relates to the field of financial science and technology, and the construction method comprises the steps: configuring business parameters and product parameters; acquiring target data of a client terminal associated with a client under the condition that client authorization is acquired, and acquiring consumption data of the client; adjusting the service parameters and the product parameters according to the target data to obtain adjusted service parameters and adjusted product parameters; and constructing an activity strategy according to the consumption data, the adjusted service parameters and the adjusted product parameters. The technical problem that the customer participation degree is low due to the fact that an accurate activity strategy cannot be constructed in the prior art is solved.

Systems and methods are provided for building message records and managing communications relating to transactions (e.g., real estate or other transactions) and / or other information from engagement platforms and other applications. System architecture and integration, customizable message creation, dynamic message retrieval, client type and information, and market trends and client specialty values are used to provide efficient communication management, personalized client engagement, real-time updates and responsiveness, comprehensive information delivery, and adaptability to client specifics to facilitate transactions and which can be used by human and / or artificial intelligence agents to enhance the particular application.

The invention provides an insurance customer demand matching and efficiency management and control method based on multi-source data fusion. The method comprises the following steps: S1, collecting and inputting customer basic information and user-defined tags; s2, receiving customer basic information and a self-defined label, and performing customer demand analysis; s3, performing matching degree evaluation on a customer evaluation result and a company platform product; s4, the salesperson determines whether to invitation according to the evaluation result, and the management personnel performs platform quality control according to the evaluation result; s5, acquiring a customer participation platform record and a transaction product record; and S6, performing model optimization according to the customer participation platform record and the transaction record to further improve the accuracy of the prediction information. According to the invention, accurate screening of platform customers is realized, a scientific sales basis is provided, and the problems of large flow and low transaction efficiency of an insurance sales platform are solved.

The present invention discloses an ultra slim LCD category header with an integrated controller and a dual-sided display and each side is having two distinct sections. One section exhibits dynamic category descriptions section and the other section streams video advertisements. revolutionizes advertising and product categorization in retail. It boasts an ultra-slim LCD header, integrating a high-performance electronic controller for efficient multimedia management. Dual-sided displays, featuring high-definition resolution and orientation sensors, elegantly present dynamic category descriptions and simultaneous video advertisements. The system's connectivity options, including Ethernet, Wi-Fi, and Bluetooth, enable seamless content updates and remote management. A secure and power-efficient controller ensures smooth operations, while the cloud-based system, comprising a web-based Content Management System (CMS) and a dedicated server, facilitates content uploads, scheduling, and real-time synchronization. This cutting-edge solution enhances customer engagement, offering a versatile and visually appealing platform for effective advertising and product promotion in retail environments.

Methods and a system for personalizing self-checkout terminals based on customer loyalty information includes receiving customer preferences during registration, generating themed personas with specific color schemes, graphics, and animations relevant to the customer's registered interests, and dynamically applying personalized interface themes when customers are identified at self-checkout terminals. The system maintains cached personas tagged with attributes like interests, religious preferences, and dietary restrictions, enabling sub-second personalization by matching customer preferences to pre-generated themes. The system avoids showing inappropriate content by filtering themes based on offensive content, collects user feedback on displayed themes through a rating mechanism, and employs time-delay factors to prevent theme repetition. New personas and corresponding themes are periodically generated to maintain customer engagement while keeping processing costs manageable.

A device may receive text data associated with a conversation of a user, and may process the text data, with large language models (LLMs), to generate conversation tags. The device may generate user attribute tags based on user data, and may classify the conversation tags and the user attribute tags to generate classified tags. The device may convert the text data and the classified tags to a searchable document, and may process the searchable document and historical tag data, with a statistical model, to identify multiple users that match the user. The device may determine degrees of match between the multiple users and the user, and may identify one of the multiple users based on the degrees of match. The device may utilize the historical tag data associated with the one of the multiple users to generate a response for the user, and may provide the response to the user.

The invention discloses a bank task platform process management system and a method thereof, which realize automatic distribution, execution, monitoring and feedback of tasks through a digital platform, improve task processing efficiency and accuracy, reduce manual intervention cost, enhance customer participation degree and satisfaction degree and improve customer experience. Comprising a task creation module, a task distribution module, a task execution module, a task monitoring module, a task feedback module, a data analysis module and a user management module, all the modules work cooperatively, and digital management of a bank task process is achieved. According to the invention, automatic distribution, execution, monitoring and feedback of tasks are realized through a digital platform, the task processing efficiency and accuracy are improved, and the manual intervention cost is reduced.

The invention relates to the technical field of computers, and discloses a forwarding scheme generation method and device based on a dialogue system, equipment and a medium, according to the scheme, dialogue data of a current user and the dialogue system is analyzed, key information is extracted, a forwarding intention of the current user is recognized, a forwarding content text is extracted, and a scheme generation request is generated. And the forwarding scheme generation interface is called to analyze the forwarding key information, so that the pre-stored scheme template matched with the forwarding key information is quickly queried, and the scheme generation efficiency is improved. And when the matching fails, the scheme generation algorithm can dynamically generate a personalized scheme according to the key information, thereby realizing the generation of a forwarding scheme which better conforms to the user demand and scene, enhancing the information attraction and accuracy, improving the generation flexibility and content accuracy of a target forwarding scheme, and improving the customer experience and communication efficiency. In the fields of finance and medical treatment, personalized recommendation and popularization can improve the participation degree of customers, and further improve the business conversion rate.

The invention discloses a digital banquet marketing management method based on a multi-dimensional decision algorithm, and relates to the field of digital banquet marketing management. According to the method, multi-dimensional extraction and coding of banquet features are realized through a self-adaptive excitation generation optimization algorithm based on event feature vectors, and the excitation effect is predicted in combination with historical implementation records, so that an optimal excitation scheme template is generated. And furthermore, comprehensive scoring is performed on real-time banquet records through a multi-modal verification algorithm and a confidence fusion algorithm, so that accurate evaluation and automatic reward distribution of the incentive effect are realized, the incentive scheme is more intelligent, personalized and efficient, and the management level and customer participation degree of banquet marketing activities are remarkably improved.

A financial institution computing system includes an account database with a plurality of transaction parameters with respect to a financial account of a customer, a receptiveness metrics circuit structured to extract the plurality of transaction parameters from the account database, the transaction parameters including at least one financial transaction record, and indicative of a mode of the customer, and determine one or more receptiveness metrics attributed to the customer based on the mode of the customer, the one or more receptiveness metrics indicating likelihoods of the customer converting an interaction from the financial institution, wherein the interaction includes an avatar that is an aged version of the customer, and an interaction generation circuit structured to transmit the interaction to the customer at an optimal time based on the one or more receptiveness metrics.

The embodiment of the invention discloses a predictive outbound method and device, equipment and a storage medium, and the method comprises the steps: obtaining historical telephone traffic data at preset intervals, inputting the historical telephone traffic data into a target long-short-term memory network, and obtaining a corresponding target outbound number of the next outbound period; based on the target call-out number, executing call-out operation on clients in the list to be called out, and determining a corresponding call-out result; and under the condition that the outbound call result is that answering is agreed, performing voice dialogue operation with the answering customer based on the target large language model. According to the technical scheme provided by the embodiment of the invention, the problems of low prediction precision and high call loss rate in the existing predictive call-out technology are solved, the call-out initiation quantity can be accurately predicted by combining the time sequence prediction capability of the long-short-term memory network, and the accuracy and efficiency of predictive call-out are improved; and flexible and natural voice interaction with clients is performed based on the intelligent interaction capability of the large model, so that the participation degree and satisfaction degree of the clients are improved, and the call loss rate is reduced.

A system for processing transactions can include a point of sale (“POS”) device, a payment server, a device monitoring server, a customer engagement server, a checkout assistance server, and a Harmonized Identity Management (“HIDM”) server. The POS device can transmit data associated with a transaction to gain approval of the transaction from the payment server. The device monitoring server can monitor and optimize the performance of the POS device. The customer engagement server can advance a promotion, track a loyalty plan, and distribute coupons and vouchers based on the data associated with the transaction. The checkout assistance server can reduce shrinkage associated with unexpected items in a bagging area near the POS device. The HIDM server can receive requests for authorization tokens from the other servers and provide the tokens.

The present invention discloses an autonomous mobile robotic system and method for store operations and customer engagement. The system comprises an autonomous mobile robotic unit (102) for store area navigation, a robotic manipulator (104) for user-assigned tasks, and a central controller (106) within the autonomous mobile robotic unit (102) for task coordination. The autonomous 10 mobile robotic unit (102) comprises a navigation unit measuring distances and a motion unit executing navigation commands. The robotic manipulator (104) has a gripping unit and an interchangeable gripper's features. The central controller (106) comprises one or more sub-controllers for task execution. The system (100) optimizes store operations, streamlining tasks and reducing human intervention, 15 thus enhancing overall operational efficiency.

Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.

Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.

The invention provides a data processing method and system. The method comprises the steps of obtaining historical arrearage data of a target customer according to customer information; inquiring and acquiring public service data and family associated business data associated with the payment scene and participated by the target customer in a public service platform according to the customer information; analyzing and determining a target collection scene and a risk conduction level corresponding to the target customer according to the historical arrearage data, the public service data and the family associated business data, wherein the risk conduction level is used for representing the influence degree of the arrearage behavior of the target customer on the target customer and business associated personnel; determining target collection information according to the target collection scene and the risk conduction level; and sending the target collection information to the client terminal. According to the invention, the intelligence and collaboration of data processing can be improved, so that the payment reminding efficiency and the rate of return can be improved.

The invention provides a method for delivering customer engagement through a metahuman concierge platform. The method includes an interface for interaction, a database layer for application data and a controller for the metahuman concierge platform. The controller includes a microservice layer with a voice module, a conversation module, an avatar module and a business logic module. The system displays a conversational agent for voice, video, or text interaction. The interface can be a mobile app, a kiosk, a web app, or a holograph. The microservice layer can include a rest API. The conversation module controls textual responses through generative large language models, and the voice module provides text to voice generation. The avatar module provides meta human features, and the business logic module incorporates functional logic for the processes.

This system provides a technical solution for managing product sales, inventory, and deliveries through QR codes and predictive analytics. It incorporates algorithms that generate and assign unique QR codes to products based on real-time sales data from farmers. These QR codes provide direct links to product information, facilitating efficient inventory management and customer engagement. The system also leverages predictive analytics to forecast product demand by analyzing historical sales data, adjust inventory levels, and optimize delivery driver assignments based on proximity to farms. The hardware supporting the system includes servers, processors, network components, and scanning devices to ensure reliable operation and data synchronization. By automating QR code generation, integrating sales data, and dynamically assigning drivers, the system improves operational efficiency, minimizes errors, and enhances the customer experience.