475results about "Customer communications" patented technology

Disclosed are systems and methods that ingest substantial volumes of data from a variety of sources associated with a computing system network to create integrated, intuitive, efficient, and coherent adaptive workspace display interfaces. The ingestion includes event data generated by event source software applications running on end user computing devices as well as call and end user attribute data that is used to determine state, presence, and performance data for the end user computing devices that is formatted for display on the adaptive workspace interfaces and used during performance monitoring and collaboration between system end users. The adaptive workspace interfaces provide functions that facilitate real time collaboration between end users that enhances shared experiences between system end users and customers.

The invention discloses an artificial intelligence offline retail system and method, and relates to the technical field of artificial intelligence. According to the invention, through the integrated artificial intelligence offline retail system, the key technical problem of accurate recognition and tracking of customer behavior tracks by a computer vision technology in an entity retail scene is effectively solved; the customer behavior recognition and tracking capability in a complex shopping mall environment is improved, the system adapts to the diversity of customer behavior modes, and the system can obtain the position and moving track information of customers in real time and construct a preliminary portrait in combination with the appearance characteristics of the customers; in addition, the graph neural network and the knowledge graph technology are used for correlation analysis of multi-modal data, a comprehensive and accurate customer portrait is constructed, semantic user behavior understanding is realized, personalized service and accurate marketing capabilities are remarkably improved, and retailers can better understand and meet customer demands.

Systems, apparatus, articles of manufacture, and methods to generate customized customer messages are disclosed. An example method includes selecting a prompt template based on an intended purpose of the customized customer message and a type of communication of the customized customer message, generating a prompt based on the customer data for an identified customer and the prompt template, providing the prompt to a large language model to cause generation of the customized customer message, and causing transmission of the customized customer message.

The invention discloses an AI Agent marketing system and method based on a large model, and the method comprises the steps: carrying out the automatic call-out and conversation through a call-out robot according to an intention customer list, and obtaining the contact information of a customer according to the conversation content; starting a chat robot according to the customer contact information, and guiding the customer to activate a voice service by using the chat robot; constructing a customer portrait according to the historical dialogue content, analyzing a customer intention level, matching a recommendation scheme from a marketing scheme database according to the customer portrait and the customer intention level, and obtaining a recommendation verbal skill by using a chat robot; and pushing the recommended verbal skill and the recommended scheme to a worker for manual follow-up. The invention relates to the technical field of intelligent marketing, and solves the problems of inaccurate customer intention recognition, unreasonable marketing resource allocation, poor customer experience and the like in an existing marketing method.

An AI-driven system (100) for a personalized chatbot for financial advice using LLMS and real-time data integration, comprising the following: a chatbot module based on a large language model (LLM) that is configured to process user requests and generate personalized financial recommendations by using natural language understanding and historical data patterns; a real-time data processing module configured to retrieve and process financial data from stock exchanges, banking systems, government economic reports and financial news sources, continuously updating relevant financial information such as stock prices, interest rates and economic indicators; a risk assessment module configured to analyze a user's financial profile, including their risk tolerance, investment history and financial objectives, to ensure regulatory compliance and the suitability of investment recommendations in accordance with relevant financial regulations; an adaptive module based on machine learning that is configured to refine and optimize financial recommendations based on user interactions, financial trends, historical data and evolving market conditions, learning from past user behavior and adapting to changing market dynamics; a natural language processing module that facilitates interactive interaction with the user through text, speech, and graphical financial reports, thus enabling multimodal interaction to improve user experience and understanding of complex financial information; a proactive warning module configured to inform users about investment opportunities, market risks, and necessary portfolio adjustments based on real-time market data, trend analyses, and predictive models; a security and compliance module that ensures encrypted data transmission, user authentication and compliance with financial data protection regulations, including the secure storage of sensitive financial data and adherence to industry standards such as GDPR and PCI-DSS.

A system for generating a putter fitting recommendation includes a processor; and a memory storing instructions that, when executed by the processor, cause the processor to perform operations including: receiving ball shot data for each of at least one putt, the ball shot data including path angle data and at least one of ball speed data or path length data, generating, based on the ball shot data, at least one simulated ball shot data, the simulated ball shot data including simulated path angle data and at least one of simulated ball speed data or simulated path length data; plotting at least one simulated putt onto a virtual hole respectively based on the at least one simulated ball shot data; determining, for each of the at least one simulated putt, simulated shot-made data; and generating, based on the simulated putt and simulated shot-made data, a putter fitting recommendation.

The invention discloses a shopping method and system based on cooperation of a door lock and an unmanned supermarket, and the method comprises the steps: generating an improved multicast joining message according to shopping list information inputted by an owner on an intelligent door lock, and transmitting the improved multicast joining message to a preset multicast address, thereby completing multicast registration; according to an event triggered by face scanning after an authorized user arrives at the unmanned supermarket, the supermarket door lock generates a verification request message and sends the verification request message through multicast, identity verification is completed, and the supermarket door lock is opened; according to a payment request triggered after the authorized user selects and purchases the commodity, the payment machine generates a payment confirmation message and sends the payment confirmation message through multicast, and an owner confirmation interface is triggered; according to the payment confirmation operation of the owner, the door lock collects the payment two-dimensional code and sends the payment two-dimensional code to the payment machine, after payment is completed, the door lock sends a multicast leaving message, and the shopping process is ended. According to the embodiment of the invention, flexible cooperation of the door lock and the supermarket system can be realized, and the problems of convenient shopping and safety management and control in an offline scene are solved.

An electronic device to automate home maintenance alerts and repair work is disclosed. The device includes a processor programmed to: (i) receive data associated with an appliance and corresponding to a measurement of one or more aspects related to a functioning of the appliance; (ii) determine an issue causing the appliance to improperly function by analyzing the received data; (iii) identify a part for the appliance to address the improper functioning of the appliance; (iv) generate an alert identifying: a description of the appliance that is improperly functioning, the part identified to address the improper functioning of the appliance, and / or a skill level required to fix the issue; (v) in response to an input from a stakeholder, generate recommendations including proposed fixes to address the issue; and / or (vi) in response to an election by the stakeholder of a recommendation from the recommendations, generate additional outputs to address fixing the issue.

The embodiment of the invention discloses a commodity information providing model construction method and device, a model training data obtaining method and device, a commodity information providing method and device and AR glasses. And the commodity information providing model is deployed in AR glasses provided by a physical store, and shopping guide service is provided for the customer user in the store through the AR glasses. The method comprises the steps that multiple sets of training data sequentially collected according to the browsing situation of a sample user in a shop in the whole process that the sample user wears AR glasses are obtained, and each set of training data comprises position information of the sample user, identification information of a checked commodity and information of the interest degree of the sample user in the checked commodity; constructing an initial model for providing a shopping guide service; and carrying out model training on the initial model by taking a plurality of groups of training data sequentially collected in the training sample as model input to obtain a commodity information providing model, so that the commodity information providing model has the capability of providing a browsing route recommendation service for the commodities displayed in the physical store.

To increase the convenience of promotion to a customer who uses a generative AI.SOLUTION: An information processing device includes an acquisition unit, a detection unit, a first generation unit, a second generation unit, and an output control unit. The acquisition unit obtains, from a camera installed in a facility, a camera image captured by the camera. The detection unit detects a feature of a customer in the camera image. The first generation unit generates first text information indicating the feature of the customer based on the detected feature. The second generation unit inputs inquiry text with the first text information added into a generative AI for generating text relating to merchandise which is handled in the facility according to an input of inquiry text; and generates second text information relating to promotion of the merchandise based on text generated by the generative AI. The output control unit outputs the second text information.SELECTED DRAWING: Figure 3

The present disclosure includes a system for generating and distributing data records representing quotes for legal services. The data records are generated at a server in response to a request from a client device. The data records are based on parameters received from a plurality of platforms, the parameters representing estimated costs for providing services. The server determines a subset of data records to transmit to the client device based on the parameters, the request, and a rating.

A method for providing customer service includes electronically receiving an inquiry from a user via a messaging engine; analyzing the inquiry to determine an inquiry parameter selected from the group consisting of a complexity of the inquiry, a number of outstanding inquiries, and an urgency of the inquiry; adjusting a reward amount based on the inquiry parameter, wherein the reward amount increases as the complexity, number of outstanding inquiries, or urgency increases; offering the adjusted reward amount to a pool of agents; and assigning the inquiry to a message queue of an agent from the pool of agents that accepts the offered adjusted reward amount.

Secure and privatized chat communication system (and related methods) for participants relating to a particular potential estate transaction, comprising: a software application for a mobile smartphone enabling registration of brokers / realtors, potential buyers, sellers, owners, and neighbors, regarding the particular real estate sales transaction, wherein blockchain secured wallets are issued, roles such as administrator, broker / realtor, customer, and user, are assigned by administrators, and user credentials, such as neighbor, owner, buyer, and seller, users, wherein the user credentials are issued by selected brokers / realtors registered with the system, for verifying the user's authenticity, to further support and enable secure, peer-to-peer chat communications between users of the system.

The invention relates to the technical field of shopping guidance, in particular to an intelligent shopping guidance system and method for a store. A plurality of human body sensors; a plurality of shopping guide electronic screens; the customer ID determining module is used for determining a customer ID in a video frame image in the panoramic video stream data according to an image area; the to-be-selected commodity determination module is used for forming a to-be-selected container commodity set based on the commodity codes associated with the container codes; the historical commodity determination module is used for forming a historical commodity code set based on commodity codes in historical shopping records; the pushed commodity selection module is used for selecting at least one pushed commodity code from the to-be-selected container commodity set according to the historical commodity code set; and the pushing module is used for matching the commodity pushing information according to the at least one pushing commodity code and playing the commodity pushing information after the shopping guide electronic screen receives the commodity pushing information. According to the invention, the shopping behavior of the customer is analyzed, personalized commodity recommendation is realized, and the user experience is improved.

The invention relates to the technical field of customer management, in particular to an intelligent customer relationship management system based on multi-modal data fusion, and the system comprises a multi-modal data acquisition module which is used for extracting a semantic contradiction index, a service request frequency change rate and a historical performance quality score of a text work order of a voice conversation from a customer interaction log; the state vector generation module is used for generating customer relationship state vectors based on health degree scores; the customer relationship network topology construction module is used for constructing a causal association edge of'customer-service defect-relationship attenuation 'based on the customer relationship state vector, outputting a customer relationship network topology structure with an interpretable path, and forming a relationship maintenance knowledge graph; and a self-adaptive relation repair strategy generation module. According to the invention, through identification of the high-weight relation attenuation path, key nodes and paths of customer relation degradation can be positioned.

A system for generating a putter fitting recommendation includes a processor; and a memory storing instructions that, when executed by the processor, cause the processor to perform operations including: receiving ball shot data for each of at least one putt, the ball shot data including path angle data and at least one of ball speed data or path length data, generating, based on the ball shot data, at least one simulated ball shot data, the simulated ball shot data including simulated path angle data and at least one of simulated ball speed data or simulated path length data; plotting at least one simulated putt onto a virtual hole respectively based on the at least one simulated ball shot data; determining, for each of the at least one simulated putt, simulated shot-made data; and generating, based on the simulated putt and simulated shot-made data, a putter fitting recommendation.

A platform for creating, managing, and deploying digital twins of human experts through automated behavioral capture and analysis. The platform employs a data collection system that monitors and processes digital interactions, communications, and work patterns to create AI-powered digital representations of subject matter experts. These digital twins maintain the knowledge, decision-making patterns, and communication style of the original subject while preserving privacy and confidentiality boundaries. The platform includes systems for managing multiple instances of digital twins across different organizations, with capabilities for instance-level learning and knowledge integration. A comprehensive licensing and rights management system enables controlled distribution of expert digital twins while ensuring appropriate privacy and security controls are in place. The platform maintains continuous compliance monitoring and privacy enforcement across all twin instances, allowing for scalable deployment of expert knowledge while maintaining security and confidentiality requirements.

Provided are a method and apparatus for providing a counseling service. A method of operating a counseling center server interworking with an instant messaging service includes acquiring, based a search request for a message transmitted to a channel registered in the service, a search result of a chatbot server linked to the channel, providing an interface for inputting a value of at least one parameter included in the search result to a terminal of a counselor linked to the channel, acquiring an entity corresponding to the parameter based on the message, determining a value of the parameter based on at least one of the acquired entity and data input through the interface, and requesting, based on the determined value of the parameter, an instant messaging server configured to provide the service to transmit a response message corresponding to the search result.

A method of generating a report using company data may include: collecting subscription company data related to a company subscribing to a platform; storing the collected subscription company data in association with a subscription company account; receiving consultation information through a consultation channel associated with the platform; specifying a consultee from the consultation information, and collecting consultee data related to the specified consultee; generating a report related to the specified agent, using a language model with at least some of the subscription company data and the consultee data as input; and providing the generated report to a subscriber account of the subscription company.

The present disclosure relates to systems and methods for providing a network-based service infrastructure configuration for a plurality of network-based services. A configuration service may identify one or more network-based services based on identifying the customer's profile and grouping the customer with other customers having a similar profile. After grouping the customer input, the configuration service may automatically provide network infrastructure configuration templates. The configuration service may identify and verify attributes required by each identified service and its associated property values. The configuration service may configure the infrastructure configuration by selecting a template from the plurality of templates stored in a datastore.

A system for use in a facility area including reservable spaces and common spaces and comprising a database storing space information, space map data and space scheduling information and including a user interface display screen mounted in a common space, a user location sensor and a processor linked to the databases and programmed to receive sensor signals and determine when a user is located within the sensing zone, the processor further programmed to generate and present a graphical facility area map representation of the facility area on the display screen and, upon detecting a user within the sensing zone, automatically identifying a destination space within the zone that the user likely intends to travel to and presenting an indication of the space on the graphical map indicating the location of the destination space within the facility.

A computer-implemented method includes receiving, via processing circuitry and from a customer interface device (CID), a customer communication and first authentication data, searching, via the processing circuitry, a database for a customer account corresponding to the customer communication, receiving, at the processing circuitry and from the database, first registered data corresponding to the customer account, and determining, via the processing circuitry, a first security challenge having a first security level category of a plurality of security level categories. The computer-implemented method also includes determining, via the processing circuitry and based on a first comparison between the first authentication data and the first registered data, a first outcome of the first security challenge, and determining, via the processing circuitry, for a second security challenge, and based on the first outcome of the first security challenge, a second security level category of the plurality of security level categories, the second security level category differing from the first security level category.

Techniques for cycle management including: determining, based on historical unstructured CRM data, a document model to determine document attributes of a set of documents; determining, based on historical structured CRM data, a stage prediction model to determine attributes of a current sales cycle based on a current sales cycle stage and current document attributes; determining, based on current sales cycle structured data, a current stage of the current sales cycle; determining, based on application of current sales cycle unstructured data to the document model, a current set of attributes for the current sales cycle; and determining, based on application of the current stage of the current sales cycle and the current set of attributes for the current sales cycle to the stage prediction model, a predicted outcome for the current sales cycle.

A smart cart presents candidate content objects to a user according to presentation constraints determined based on a predicted route of the smart cart. The smart cart obtains, from an item database, a plurality of candidate content objects to be presented to a user of a smart cart. The smart cart obtains a location of the smart cart in an environment. The smart cart applies a machine-learning route prediction model to the location of the smart cart to determine a future route of the smart cart. The smart cart determines, for each candidate content object, one or more presentation constraints based on the future route of the smart cart, wherein the presentation constraints constrain presentation of the candidate content object to the user to maximize a likelihood of the user engaging with the content object. The smart cart presents, via an electronic display, one or more of the candidate content objects according to the presentation constraints.

The invention relates to the technical field of online car-hailing data recommendation, and discloses an online car-hailing tenant marketing activity recommendation method and system, and the method comprises the steps: obtaining the current position of a driver and the information of a city according to a marketing activity thermodynamic diagram query request, and querying a marketing activity list in which the driver can participate on the current day and a dynamic activity filtering rule corresponding to the city; thermodynamic diagram information is obtained according to the current position information; and inputting the marketing activity list and the dynamic activity filtering rule into a preset rule engine to obtain a to-be-displayed marketing activity, performing layer fusion on the to-be-displayed marketing activity and the thermodynamic diagram information to obtain target fusion data, and returning the target fusion data to a driver end for display. According to the invention, through dynamic configuration of the rule engine and the activity filtering rule, a series of rule interception can be carried out on the activity, visual promotion of the online car-hailing marketing activity and accuracy of personalized recommendation are ensured, so that the participation rate of a driver for the marketing activity is increased, and the benefit of an online car-hailing tenant platform is improved.

To enhance convenience of promotions utilizing generative AI for customers using mobile terminals.SOLUTION: An information processing apparatus according to an embodiment comprises a first acquisition unit, a second acquisition unit, a first generation unit, a second generation unit, and an output control unit. The first acquisition unit acquires customer information related to a customer who enters a facility. The second acquisition unit acquires position information representing a position of the customer in the facility. The first generation unit generates first text information including the customer information and the position information. The second generation unit, by inputting the first text information into generative AI which generates a text related to a product handled in the facility in response to the input of the first text information, generates, based on a generative text generated by the generative AI, second text information for a promotion of the product described in the generative text. The output control unit outputs the second text information to a terminal device used by the customer.SELECTED DRAWING: Figure 3

The invention provides an intelligent shopping guide method and system based on multiple agents, and relates to the technical field of smart home, and the method comprises the steps: a routing agent determines a user intention based on a commodity consultation text input by a user, and selects a corresponding target agent based on a commodity type indicated by the user intention to carry out multi-round dialogue with the user; and the target agent screens out at least one candidate commodity meeting user requirements from the commodity library based on multiple rounds of dialogues with the user, and feeds back the commodity information of the at least one candidate commodity to the routing agent, and the routing agent displays the commodity information of the at least one candidate commodity to the user. According to the multi-agent-based intelligent shopping guide method and system provided by the invention, the routing agent is introduced to accurately analyze the intention of the user, and the intention of the user is allocated to the corresponding commodity shopping guide agent, so that the cooperative work of the multiple agents is realized.

Interaction events collected across disparate customer communication channels of an enterprise are processed to generate an encoded unique content item identifier for each content item referenced in an interaction event such that the content item is resolvable to a location in a content repository. A training data set is built using the interaction events thus processed and a multi-channel content recommendation model is trained using the training data set. The multi-channel content recommendation model thus trained stores data points representing intersections of customers and content items that the enterprise has been tracking, with each data point having an effectiveness score for an associated content item. The multi-channel content recommendation model thus trained can be queried by content designers of the disparate customer communication channels through a recommender application for content recommendations based on the effectiveness of the content, agnostic to the disparate customer communication channels.

The invention discloses an enterprise marketing digitization service method, which relates to the technical field of marketing digitization, and comprises the following steps: constructing a customized marketing digitization consultation model according to an enterprise business structure and individual requirements, analyzing the current situation of an enterprise, and outputting a targeted consultation scheme; based on a global digital thought, a marketing center and data center collaborative operation system is established, and a marketing center integrates various global marketing activities, contents and automatic mechanisms for management; and outputting an adaptive scheme according to different business scenes by utilizing a multi-scene comprehensive marketing solution output model and combining a marketing playing method and a product application superposition technology. By constructing a customized marketing digital consultation model, deeply analyzing an enterprise business structure and personalized requirements and outputting a highly targeted consultation scheme, an enterprise is helped to clarify a marketing direction and reasonably configure marketing resources, blind investment is avoided, and the utilization efficiency of the marketing resources is improved.

A virtual reality system and method to permit a user to perform various activities in one or more metaverses while waiting in a virtual commerce space can include (1) one or more virtual reality (VR) servers configured to create multiple virtual spaces in one or more metaverses; (2) an avatar library in communication with each of the one or more VR servers; (3) a virtual commerce server in communication with the one or more VR servers and configured to communicate with a plurality of user operating devices, wherein the one or more servers are configured to receive an assistance request, generate an avatar bot as a placeholder in a virtual queue for a user, and transport an avatar of the user to a separate virtual space while the avatar bot represents the user in a virtual queue.