155 results about "Omnichannel" patented technology

The present invention discloses a method and system for intelligent switching of communication protocols for an omni-channel contact center, the method comprising the steps of: evaluating the performance of each communication protocol according to user needs and the current system status, selecting the optimal communication protocol and opening the corresponding communication service for the user; continuously monitoring the communication quality under the selected current communication protocol, and triggering the reselection of the communication protocol if it is detected that the communication quality is lower than expected; re-evaluating the performance of each communication protocol under the current system state to select the target communication protocol, and switching the current communication service from the current communication protocol to the target communication protocol. The present invention realizes smooth switching between different communication protocols, can intelligently identify and automatically select the optimal communication method, while maintaining the continuity and quality of the call unaffected. In addition, the present invention also supports dynamic adjustment of the communication method according to network conditions, ensuring that users can obtain the best communication experience regardless of the network environment.

Provided are techniques for an omni-channel Artificial Intelligence (AI) chatbot module collecting data and performing analysis. Survey questions for a participant are received. A first channel of a plurality of channels of communication and a period of time for contact are identified. A conversation is initiated by attempting to contact the participant using the first channel and during the period of time. in response to the participant accepting the contact, each of the survey questions are converted to natural language. There is interaction with the participant using the first channel to receive survey answers to the survey questions in the natural language. The survey answers are analyzed, and an analysis result is output.

The invention relates to the technical field of information, in particular to an omni-channel order management system based on a block chain. Comprising an order management and digital twinning module, an inventory management and cloud network cooperation module, a payment and intelligent contract module, a logistics and edge computing module, a customer service and after-sales management module, an authority management and security module, a data analysis and prediction module and a compliance and audit module. The order management and digital twinning module creates a digital model for an order through a digital twinning technology, and displays the change of an order state in real time; and the inventory management and cloud network cooperation module synchronizes inventory information of each channel in real time and dynamically allocates resources by using a cloud network fusion technology. Through digital twinning, an enterprise can dynamically monitor each link of an order in real time, when a complex supply chain is processed, problems can be predicted in advance, delay or order loss is avoided, and more efficient and more transparent order fulfillment is realized.

The invention relates to the technical field of digital marketing, and discloses an omni-channel marketing funnel intelligent attribution model and an automatic budget distribution system, and the model comprises a data collection module which is used for collecting data through a contact recording device and a user identification device which are disposed at a marketing terminal, and a behavior tracking device and a channel classification device which are disposed at a user side. Acquiring information such as multi-channel marketing contact interaction data, user behavior data and channel types; the path analysis module realizes data path analysis through time sequence synchronization of a time alignment unit, feature matching of a path association unit and dynamic adjustment of a computing power scheduling unit; the attribution calculation module generates the conversion attribution weight of each channel based on the matching data; and the budget mapping module establishes a dynamic mapping relationship between the weight and the budget and updates the dynamic mapping relationship. The system outputs the attribution result through the model application module, and the budget execution module distributes the budget according to the dynamic mapping, so that the channel contribution can be accurately evaluated, the scientific distribution of the marketing budget is realized, and the marketing efficiency and the rate of return on investment are improved.

Examples are disclosed related to using verification channels for end-user verification. One example provides a method comprising, in a first verification channel, receiving a first verification request and an end-user mobile number from an enterprise computing system, sending a first-time sign-in request to an end-user computing device, and receiving a first end-user authentication message in response to the first-time sign-in request, and in response, associating a passkey with the end-user mobile number. The method further comprises, in a second verification channel, receiving a second verification request and the end-user mobile number from the enterprise computing system, sending a sign-in message, receiving a second end-user authentication message in response to the sign-in message, and in response to receiving a verification approved response from the end-user computing device, sending the verification approved response to the end-user computing device and / or the enterprise computing system.

Systems, methods and user interfaces are provided for generating real-time and / or diagnostic omnichannel interaction insights. The method may include obtaining transcripts corresponding to digital service channels. The method may also include generating and inputting channel-specific prompts to machine learning models to obtain insights. The method may also include generating and / or displaying analytical insights. The method may also include obtaining a natural language question, via a conversational interface, directed to a benefits database. The method may also include parsing the question. The method may also include ranking benefits using a recommendation algorithm. The method may also include generating a context by applying a language template. The method may also include inputting the context to a large language model. The method may also include providing a response to an agent to cause the agent to perform one or more actions. The method may also include generating and displaying a dashboard.

Systems, methods, and / or articles of manufacture that utilize omnichannel Artificial Intelligence (AI) restaurant management modeling to accurately compute and update order fulfillment times in an omnichannel ordering environment.

A method for providing a personalized shopping experience using an AI-guided omnichannel shopping application is provided. The method includes presenting a user app interface on a user device associated with a user to receive user data comprising user styling preferences, shopping habits, and images of the user's personal wardrobe inventory. The method also includes providing a virtual closet for the user, wherein the virtual closet comprises processed images of the personal wardrobe inventory of the user. The method further includes providing a personalized product feed source by filtering product data. The method additionally includes providing a personal stylist interface that allows stylists to access the virtual closet of the user. The method includes analyzing using an AI model, the user preferences and shopping habits, sales history, browsing history, and the selected items, wherein the AI model continuously learns and generating personalized product recommendations to the user.

A multi-tiered optimization and machine learning framework is provided in which operational decisions as far as driver capacity allocation are taken at three different levels or stages, namely, long-term, short-term, and real-time. While decisions at each stage have individual importance for the operations at different time horizons, this framework utilizes decisions upstream to inform better results downstream. This synergy helps improve allocations when compared to solutions that assign driver capacity for each stage individually.

Systems and methods for assessing trustworthiness of customer accounts in retail and e-commerce systems using machine learning are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a trust assessment request regarding a customer account; generating at least one trust-related feature or quantitative attribute associated with the customer based on historical transaction data and relevant account information of the customer; computing, using at least one machine learning model, trust score data of the customer based on the at least one trust-related feature; and transmitting, in response to the trust assessment request, the trust score data of the customer to the computing device.

Systems and methods for providing omnichannel cognition in a campaign are disclosed. An example platform can include a strategy hub configured to generate and provide a unified and real-time graphical interactive interface displaying an effectiveness of the campaign, wherein the strategy hub is further configured to allow users to dynamically connect strategies to tactics and track key performance indicators (KPIs) while making real-time adjustments and rebalancing of efforts across multiple channels to optimize campaign engagement; a tactic engine configured to utilize a generative artificial intelligence (GenAI) model for analysis and restacking of the tactics to generate an optimal tactic mix that improves engagement efficiency and outcomes based on predicted impact levels of the tactics; and an impact simulator configured to provide a virtual platform for simulating the campaign through virtual trials, to assess an effectiveness of the campaign prior to roll-out of the campaign.

The invention discloses a full-channel consumer behavior tracking and market investigation integrated platform, which adopts federated learning and differential privacy technologies to construct a privacy-friendly multi-feature identity analysis model, and realizes high-precision matching of cross-channel users. The platform uses a graph attention neural network to represent consumer omni-channel behaviors as a heterogeneous directed graph, and proposes a new structural friction index to identify conversion obstacle nodes in a decision trip. Dominant survey data and recessive behavior data are jointly embedded by using an auto-encoder, a causal forest model is introduced to estimate the causal effect of attitude factors on purchase behaviors, and a comprehensive value function is constructed to fuse behavior preference, attitude tendency, causal effect and journey resistance. And the decision support layer automatically triggers personalized marketing intervention according to the friction index and the value score, and feeds back a dynamic optimization model in combination with an A / B test. According to the invention, balance between privacy protection and accurate identification is realized, consumer decision-making journey can be deeply observed, and causal-driven value prediction is provided.

Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to an automated predictive response computing system independent of electronic communication channel of an electronic message payload, the automated predictive response computing system being configured to, for example, implement a universal data space based on, at least in part, conversational data flows, which may be classified and used to provide a predictive response to assist resolution, such as assisting an agent among other things. In an example, a method may include augmenting at least a subset of one or more portions of communication data, implementing augmented communication portion data to determine a predicted response, and generating data to facilitate the predicted response based on the subset of inbound electronic messages.

The invention discloses an Internet of Things industry intelligent customer service supervision and control system based on artificial intelligence, and belongs to the technical field of customer service supervision. Comprising an omni-channel intelligent access and intention understanding module, an AI intelligent center and complex decision module, an intelligent supervision and ethical regulation and control module, a man-machine cooperation and humanistic care module, a data-driven optimization and edge intelligent module and a security privacy and controllable treatment module, and the omni-channel intelligent access and intention understanding module is used for integrating multiple channels. Unified request distribution is achieved, data input by a user are analyzed through voice recognition, NLU natural language understanding and image recognition technologies, composite intentions are accurately captured, interaction strategies are dynamically adjusted in combination with device state data, user historical behaviors and real-time positions, and pacified talking skills or manual intervention are triggered through voiceprint / text emotion analysis. On the basis of realizing customer service supervision and regulation, all-channel fusion and intention accurate analysis can be realized, and ethical safety integrated design can be realized.

A session shared data system accesses a first communication between a user and a support agent on a first communication channel and stores communication data associated with the first communication in a session shared data object. The session shared data system accesses a subsequent communication between the user and a second agent on a second communication channel, receives a query associated with the subsequent communication and transmits the response to a device of the second agent.

The present application describes systems, methods and devices for creative asset management, some of which can be utilized in closed / batch supply and / or open real-time bidding (RTB) supply opportunities. The present application further describes systems, methods and devices for omni-channel creative asset management that may have bi-directional features. In particular, in some embodiments, the creative asset management systems, methods, and devices described herein can allow advertisers to consolidate their online advertising efforts into a central platform.

The invention discloses a customer service omni-channel-oriented multi-modal arrangement system, and the system comprises an omni-channel access module which integrates ASR, OCR and MLLM technologies and is used for translating multi-modal data input into unified text semantic representation in real time; the logic arrangement module integrates NLP, LLM and IT interface components, supports extension and is used for logic arrangement based on business requirements, and the arranged service has multiple mechanisms and can realize a low-delay and high-availability service chain; the multi-modal generation module integrates TTS, T2I and MLLM technologies and is used for generating corresponding modal data according to channel requirements and supporting streaming and non-streaming output; and the full-process service monitoring module is used for monitoring the state, the time delay and the error rate of each module in real time and guaranteeing the service stability and the user experience. The cross-modal data unified processing is effectively realized, the system development and maintenance cost is reduced, and the customer service efficiency and quality are improved.

The invention provides a sales strategy adjustment system and method based on omni-channel sales data, and the system comprises a sales data obtaining module which is used for obtaining the sales data of a commodity, and the sales data comprises a commodity ID, a sales channel, and a time period; the sales data preprocessing module is used for preprocessing the sales data to generate to-be-clustered data; the clustering analysis module is used for carrying out clustering analysis according to the to-be-clustered data and determining sales strategies of all categories, and the sales strategies comprise the stock amount of commodities, the number of stock turnover days, sales targets and sales prices; and the sales strategy optimization module is used for further optimizing and determining an optimal sales strategy according to the sales strategy determined by the clustering analysis module. According to the invention, the optimal configuration of the inventory, the inventory turnover days, the sales target and the sales price can be realized, and the sales efficiency and the profitability are improved.

The invention provides a bank omni-channel message intelligent management and control method and system, and the method comprises the steps: accessing a standard structured event pushed by a business system, carrying out the compliance and anti-repetition verification, and obtaining a standardized event object; performing three-dimensional dynamic strategy matching on the received standardized event object to obtain a decision result containing a trigger rule ID; selecting a message sending channel based on the decision result containing the trigger rule ID, adopting a policy mode to realize multi-channel routing, and setting in a failover mechanism to obtain a channel execution context; and carrying out data storage on the standardized event object, the decision result containing the trigger rule ID and the channel execution context, and meanwhile, establishing an index to construct a full-link tracking index. According to the method, unified management and control of the messages are realized through standardized access and intelligent routing, accurate touch is ensured by adopting dynamic strategy matching, and unified management and control, dynamic optimization and visual monitoring of the whole message sending process are finally realized by combining failover and full-link tracking.

The invention discloses a data-driven omni-channel retailer inventory replenishment and distribution optimization algorithm, particularly relates to the technical field of retail inventory management, and aims at efficiently solving the problems of multi-SKU inventory management, demand uncertainty, inventory transfer cost and the like by adopting a PPO algorithm in deep reinforcement learning to optimize inventory replenishment and distribution decision. And automatic and intelligent inventory management is realized in actual operation.

The present invention provides an omnichannel notification push method and device, which relates to the technical field of automatic programming. The method includes: obtaining transaction information; determining the initiating channel information according to the transaction information; generating an omnichannel notification push message according to the initiating channel information; and sending the omnichannel notification push message to the front end. Based on the analysis of the transaction information, the present invention obtains the initiating channel information of the transaction information, then generates notification push information for other channels based on the initiating channel information, and further sends the omnichannel notification push message to the front end, enabling customers to receive message reminders of transactions occurring on all channels at a certain channel end, improving the customer experience and reducing the occurrence of customer misoperations.

An example system comprises a processor and storage containing instructions for generating: a micro front-end (MFE) registry with domain-specific language conformant micro frontends; a first channel control plane UI extension to display certain micro frontends; and a second similar extension; a control messaging module to communicate micro frontends between the registry and the first extension while obtaining user contexts; and one or more federated experience engines to select micro frontends for the second extension based on the obtained user contexts.

Systems, methods and user interfaces are provided for generating real-time and / or diagnostic omnichannel interaction insights. The method may include obtaining transcripts corresponding to digital service channels. The method may also include generating and inputting channel-specific prompts to machine learning models to obtain insights. The method may also include generating and / or displaying analytical insights. The method may also include obtaining a natural language question, via a conversational interface, directed to a benefits database. The method may also include parsing the question. The method may also include ranking benefits using a recommendation algorithm. The method may also include generating a context by applying a language template. The method may also include inputting the context to a large language model. The method may also include providing a response to an agent to cause the agent to perform one or more actions. The method may also include generating and displaying a dashboard.

A system and method for omnichannel text-based routing, interaction transfer, and customer-to-enterprise communications. The system is a cloud-based network containing an interaction control server, a routing engine, a media translation server, a mobile application, a business entity portal, mobile and compute devices for business enterprise and customer, and an enterprise database. Taken together or in part, said system optimizes customer interactions by delivering context aware text message, chat or email to customers; and when requested by customer, optimally routes with context, based upon a multitude of variables, to best available resource to handle the customer interaction. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

The present invention proposes a client-side multi-channel aggregated advertising delivery system and method based on Electron, the method comprising: obtaining the advertising business information required for advertising delivery through the advertiser client built by Electron, and sending the advertising business information to the Web server; the Web server receives the advertising business information, adapts the media advertising platform corresponding to the advertising business information and the advertising business data corresponding to the media advertising platform through the omni-channel API adaptation service, converts the advertising business data, and sends the converted advertising business data to the channel server; the channel server receives the converted advertising business data, and delivers the converted advertising business data to the corresponding media advertising platform through the channel API of the media advertising platform. The present invention enables advertisers to deliver advertisements across systems, media platforms and accounts, integrates all head media advertising platforms, and improves delivery efficiency and effectiveness.

The invention provides a public opinion data processing method and device, equipment and a storage medium, and relates to the technical field of data processing. When the method is executed, the omni-channel data is firstly obtained, then the obtained omni-channel data is input into an image recognition model, or a public opinion volume model, or a business environment model or a risk prediction model after cleaning, public opinion text data is obtained, and finally the public opinion text data is stored in a database. And in response to the retrieval instruction, performing retrieval in the database to obtain retrieval result data. Thus, the omni-channel data is processed through the image recognition model, or the public opinion volume model, or the business environment model, or the risk prediction model to obtain the public opinion text data, and accurate public opinion risk control service is provided by using the public opinion text data.

A system, apparatus, method, and non-transitory computer readable medium for providing an omni-channel content mapper framework may include a server caused to receive a content request from at least one user device, the content request including a unique content identifier associated with the requested content and desired content type information corresponding to the requested content, determine a desired content mapper (CM) plugin corresponding to the desired content type information from a plurality of CM plugins, obtain content data corresponding to the unique content identifier from a content database, generate an application-agnostic structured data document using the determined content mapper plugin, the application-agnostic structured data document including the obtained content data, and transmit the application-agnostic structured data document to the at least one user device in response to the content request.

The invention provides a novel customer relationship management method, and belongs to the technical field of artificial intelligence and application. Establishing a data base which is used for gathering and integrating multi-source data and consists of client omni-channel interaction data and enterprise business data; based on feature engineering and RFM, the FCI model defines customer feature portraits including behavior preferences, management cycle stages and marketing response laws based on a data base. And taking the customer feature portrait as an input parameter of the random forest model, training the random forest model in combination with historical data, and outputting a marketing strategy including a recommendation category, a communication channel, an interaction frequency, a discount threshold value and a docking person level. According to the invention, based on the multi-dimensional marketing strategy output by the random forest model, the execution link can be directly connected, and manual secondary adjustment is not needed; and meanwhile, the model can quickly adapt to different customer group characteristics, so that'homogenization 'and'hysteresis' of traditional manual strategy formulation are avoided, and manual dependence and management cost are reduced.

A system and method for omnichannel text-based routing, transfer, and customer-to-enterprise communications. The system is a cloud-based network containing an interaction control server, a routing engine, an optimization engine, a media translation server, a mobile application, a business entity portal, mobile and compute devices for business enterprise and customer, and an enterprise database. Taken together or in part, said system optimizes customer interactions by delivering context aware text message, chat or email to customers; and when requested by customer, optimally routes with context, based upon a multitude of variables, to best available resource to handle the customer interaction. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

A computer-implemented method for treating a medical condition via a digital therapeutic platform, the method including receiving one or more user inputs, generating a script at a script generator, based on the one or more user inputs, determining therapeutic digital content by applying the script as an input to a therapeutic machine learning platform, receiving the therapeutic digital content via at least one of a therapeutic content database or a content generator, identifying a user platform to output the therapeutic digital content, modifying the therapeutic digital content for output via the user platform, providing the therapeutic digital content via the user platform, receiving feedback based on user consumption of the therapeutic digital content via the user platform and adjusting at least one of the script generator or the therapeutic machine learning platform based on the feedback.