A fast conversational insurance business process configuration method and system

Abstract

The present invention discloses a fast conversational insurance business process configuration method and system, which can configure and manage traditional insurance business systems through AI models and conversational process applications, that is, through process intent configuration, insurance business process node page configuration and business interface configuration, the AI ​​model capabilities can be quickly called to empower insurance applications with AI, thereby quickly creating a new conversational insurance underwriting and claims business based on a large model to achieve AI-enabled transformation of traditional insurance business; thus, the present invention provides an insurance business configuration method with accurate intent recognition, replicable process configuration, and rapid application launch, which only requires developers to perform simple configuration in the process configuration page to generate a conversational insurance business processing system. Therefore, the present invention improves the development efficiency of insurance business applications, can achieve rapid launch of business applications, and reduces costs and personnel capability requirements.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent configuration of insurance business, and in particular relates to a method and system for configuring insurance business processes in a fast and interactive manner. Background Art

[0002] At present, traditional web applications in the insurance industry require professional front-end and back-end development. They are connected to the back-end underwriting and claims core system through code, and thereby implement the front-end underwriting and claims business processes. Among them, the development time of the aforementioned insurance business applications is long, and they cannot be quickly iterated and launched, making it difficult to adapt to the ever-changing market demands. At the same time, with the vigorous development of AI technology, AI technology has gradually been invested in the empowerment process of traditional applications. However, it also requires professional AI developers to work together with traditional developers to develop or transform applications. This has the problem of high technical requirements for developers, difficulty in docking, difficulty in quickly carrying out AI transformation or new construction, and high development and transformation costs. Therefore, based on the aforementioned shortcomings, how to provide a fast conversational insurance business process configuration method with high efficiency, low cost and low requirements on personnel capabilities has become an urgent problem to be solved. Summary of the Invention

[0003] The purpose of the present invention is to provide a fast conversational insurance business process configuration method and system to solve the problems of long development time, high cost, inability to quickly iterate and launch, and high personnel requirements in the existing technology.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] In a first aspect, a fast conversational insurance business process configuration method is provided, comprising:

[0006] Acquire at least one insurance service prompt word, and perform insurance intent configuration processing based on the at least one insurance service prompt word to determine the insurance service corresponding to the at least one insurance service prompt word;

[0007] According to the insurance business, generating a process configuration page corresponding to the insurance business, wherein the process configuration page includes a process configuration box corresponding to each process node of the insurance business;

[0008] The process node configuration processing and business interface configuration processing are performed on each process configuration box in the process configuration page in turn, so that after the business interface configuration processing, the insurance business processing page corresponding to the insurance business is obtained, and based on the insurance business processing page, the insurance business processing system corresponding to the insurance business is generated, wherein any business interface is used to call the insurance business processing thread, insurance business model or insurance knowledge base, and the insurance business model includes a natural language model, an OCR model, an underwriting and claim document image recognition and classification model, a vehicle recognition model, an image correction model, a speech-to-text conversion model and an intent recognition model.

[0009] Based on the above-disclosed content, the present invention first performs insurance intent configuration processing based on the insurance business prompt word, thereby mapping and associating the insurance business prompt word with the insurance business to determine the insurance business corresponding to the insurance business prompt word; then, based on the insurance business, a process configuration page containing a process configuration box corresponding to each process node in the insurance business is determined; finally, the process configuration page is processed with process node configuration and business interface configuration to realize page configuration and interface configuration of different process nodes of the insurance business, thereby generating a business processing page that conforms to the insurance business process, and enabling each business interface in the page to call the back-end insurance business processing thread, insurance knowledge base or various insurance business models (such as basic dialogue, intent recognition, image recognition, speech-to-text conversion, etc.); in this way, the process configuration of the conversational insurance business can be completed, thereby realizing conversational insurance business processing.

[0010] Through the above design, the present invention can configure and manage traditional insurance business systems through AI models and conversational process applications, that is, through process intent configuration, insurance business process node page configuration and business interface configuration, to quickly call AI model capabilities to AI empower insurance applications, thereby quickly creating new conversational insurance underwriting and claims settlement businesses based on large models to achieve AI-enabled transformation of traditional insurance businesses; thus, the present invention provides an insurance business configuration method with accurate intent recognition, replicable process configuration, and rapid application launch, which only requires developers to perform simple configuration in the process configuration page to generate a conversational insurance business processing system. Therefore, the present invention improves the development efficiency of insurance business applications, can achieve rapid launch of business applications, and reduces costs and personnel capability requirements, making it very suitable for large-scale application and promotion.

[0011] In a possible design, each process configuration box in the process configuration page is sequentially processed with process node configuration and business interface configuration, including:

[0012] Visually displaying the process configuration page to generate an initial insurance business processing page in response to a human-computer interaction operation of the process configuration on each process configuration box in the process configuration page by the development end;

[0013] In response to the development end configuring human-computer interaction operations on the interfaces of the various process configuration boxes in the initial insurance business processing page, a business interface is configured for each process configuration box in the initial insurance business processing page, so that the insurance business processing page is obtained after the business interface is configured.

[0014] In one possible design, the method further includes:

[0015] Obtain user feedback information;

[0016] Based on user feedback information, the process configuration of the insurance business is optimized, so that after the process configuration optimization is performed, an optimized insurance business processing page is obtained.

[0017] In one possible design, based on user feedback information, the process configuration of the insurance business is optimized, including:

[0018] updating the insurance service prompt word corresponding to the insurance service according to the user usage feedback information to obtain an updated insurance service prompt word;

[0019] Optimizing the insurance business model corresponding to the target configuration box in the process configuration page based on the user feedback information to obtain an optimized insurance business model, wherein the target configuration box is a process configuration box corresponding to a specified business interface in the process configuration page, and the specified business interface is used to call the insurance business model;

[0020] Updating the process configuration page corresponding to the insurance business to obtain an updated process configuration page;

[0021] The business interface in the updated process configuration page is updated to obtain an optimized insurance business processing page after the update, wherein, after the business interface is updated, the designated business interface in the updated process configuration page is used to call the optimized insurance business model, and the optimized insurance business processing page uses the updated insurance business prompt words to conduct insurance business dialogue when entering the insurance processing thread.

[0022] In one possible design, performing insurance intent configuration processing based on the at least one insurance service prompt word to obtain the insurance service corresponding to the at least one insurance service prompt word includes:

[0023] The machine learning model is used to perform intent recognition on the at least one insurance business prompt word to identify the insurance business corresponding to the at least one insurance business prompt word.

[0024] In one possible design, generating an insurance business processing system corresponding to the insurance business based on the insurance business processing page includes:

[0025] The insurance business processing page is published to generate the insurance business processing system after the publication process.

[0026] In one possible design, the insurance knowledge base includes: an underwriting knowledge base, a claims knowledge base, a company knowledge base, an intention knowledge base, and an image knowledge base.

[0027] Secondly, a fast conversational insurance business process configuration system is provided, including:

[0028] a process intention configuration unit, configured to obtain at least one insurance business prompt word, and perform insurance intention configuration processing based on the at least one insurance business prompt word to determine the insurance business corresponding to the at least one insurance business prompt word;

[0029] A process node page configuration unit, configured to generate a process configuration page corresponding to the insurance business according to the insurance business, wherein the process configuration page includes a process configuration box corresponding to each process node of the insurance business;

[0030] A process node interface configuration unit is used to perform process node configuration processing and business interface configuration processing on each process configuration box in the process configuration page in sequence, so as to obtain an insurance business processing page corresponding to the insurance business after the business interface configuration processing, and generate an insurance business processing system corresponding to the insurance business based on the insurance business processing page, wherein any business interface is used to call an insurance business processing thread, an insurance business model or an insurance knowledge base, and the insurance business model includes a natural language model, an OCR model, an underwriting and claim document image recognition and classification model, a vehicle recognition model, an image correction model, a speech-to-text conversion model and an intent recognition model.

[0031] In the third aspect, a fast-conversational insurance business process configuration device is provided. Taking the device as an electronic device as an example, it includes a memory, a processor and a transceiver that are communicatively connected in sequence, wherein the memory is used to store computer programs, the transceiver is used to send and receive messages, and the processor is used to read the computer program and execute the fast-conversational insurance business process configuration method as described in the first aspect or any possible design of the first aspect.

[0032] In a fourth aspect, a storage medium is provided, on which instructions are stored. When the instructions are run on a computer, the fast conversational insurance business process configuration method as described in the first aspect or any possible design of the first aspect is executed.

[0033] In a fifth aspect, a computer program product comprising instructions is provided, which, when executed on a computer, causes the computer to execute the fast conversational insurance business process configuration method as described in the first aspect or any possible design of the first aspect.

[0034] Beneficial effects:

[0035] (1) The present invention can configure and manage traditional insurance business systems through AI models and conversational process applications, that is, through process intent configuration, insurance business process node page configuration and business interface configuration, the AI ​​model capabilities can be quickly called to empower insurance applications with AI, thereby quickly creating a new conversational insurance underwriting and claims business based on a large model to achieve AI-enabled transformation of traditional insurance business; thus, the present invention provides an insurance business configuration method with accurate intent recognition, replicable process configuration, and rapid application launch, which only requires developers to perform simple configuration in the process configuration page to generate a conversational insurance business processing system. Therefore, the present invention improves the development efficiency of insurance business applications, can achieve rapid launch of business applications, and reduces costs and personnel capability requirements, making it very suitable for large-scale application and promotion.

[0036] (2) The present invention can optimize the process configuration of insurance business through user feedback information during use, that is, perform model configuration or process optimization configuration adjustment (such as prompt word adjustment, insurance business model optimization, page configuration optimization, etc.) to achieve the purpose of rapid application adjustment and user-unawareness. In this way, the traditional application adjustment steps of modifying code, packaging and publishing online, etc. are avoided, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic flow chart of the steps of a method for configuring a fast interactive insurance business process according to an embodiment of the present invention;

[0038] Figure 2 A schematic diagram of the structure of a fast interactive insurance business process configuration system provided by an embodiment of the present invention;

[0039] Figure 3 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be briefly introduced below in conjunction with the drawings and the description of the embodiments or the prior art. Obviously, the following description of the structure of the drawings is only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0041] It should be understood that although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element can be referred to as a second element, and similarly, a second element can be referred to as a first element without departing from the scope of the exemplary embodiments of the present invention.

[0042] It should be understood that the term "and / or" that may appear in this document is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B may indicate three situations: A exists alone, B exists alone, and A and B exist at the same time. The term " / and" that may appear in this document describes another type of association object relationship, indicating that two relationships may exist. For example, A / and B may indicate two situations: A exists alone, and A and B exist alone. In addition, the character " / " that may appear in this document generally indicates that the previous and subsequent associated objects are in an "or" relationship.

[0043] Example:

[0044] See also Figure 1 As shown, the fast conversational insurance business process configuration method provided by this embodiment is configured and managed through AI models and conversational process applications, that is, through process intent configuration, insurance business process node page configuration and business interface configuration, the AI ​​model capabilities are quickly called to empower insurance applications with AI. In this way, the traditional web business applications in the insurance industry can be quickly transformed and configured into conversational applications based on large models, and new insurance underwriting and claims conversational businesses based on large models can also be quickly created; therefore, this method has the advantages of low development cost, low personnel capability requirements, fast model integration, accurate intent recognition, replicable process configuration, fast application launch, real-time adjustment and immediate presentation, and elderly-friendly applications, making it very suitable for large-scale application and promotion; among them, for example, this method can be but not limited to running on the insurance business configuration end side. Optionally, the insurance business configuration end can be but not limited to a personal computer. It can be understood that the aforementioned execution subject does not constitute a limitation on the embodiments of the present application. Accordingly, the running steps of this method can be but not limited to the following steps S1 to S3.

[0045] S1. Obtain at least one insurance business prompt word, and perform insurance intention configuration processing based on the at least one insurance business prompt word to determine the insurance business corresponding to the at least one insurance business prompt word; in this embodiment, this step is mainly a configuration process of associating and mapping different intentions that the user may express with the corresponding insurance business process, that is, by configuring the insurance business prompt word, the corresponding insurance business is associated to enter the configuration process of different insurance businesses, that is, the needs or goals expressed by the developer are identified through technologies such as semantic understanding, and then the identified user intention is matched with the corresponding business process to start the corresponding business processing process; such as associating the intention of "I want to report a case" with the case reporting process, and associating the intention of "I want to consult the claims process" with the claims process; of course, the above examples are only illustrative, and different insurance business prompt words can be set according to different insurance businesses to complete the mapping of different insurance businesses and corresponding prompt words.

[0046] Optionally, for example, but not limited to, a machine learning model can be used to perform intent recognition on the at least one insurance business prompt word to identify the insurance business corresponding to the at least one insurance business prompt word; that is, first collect the interaction data between the developer and the insurance business system, including user intent and corresponding business processes; then, use a machine learning algorithm, such as an intent recognition model, to train the model to recognize user intent and associate it with the corresponding business process; finally, deploy the trained model to the insurance business system to realize the function of automatically recognizing the developer's intent and jumping to the corresponding business configuration process.

[0047] In this way, through the intention configuration corresponding to the insurance business process, when in use, you can jump to different insurance businesses by identifying the user's intention, so as to process different insurance businesses; among them, after completing the insurance intention configuration, you can enter the configuration of the insurance business process, and the process is shown in the following steps S2 and S3.

[0048] S2. Generate a process configuration page corresponding to the insurance business based on the insurance business, wherein the process configuration page includes process configuration boxes for each process node corresponding to the insurance business. In this embodiment, the insurance business configuration terminal stores process nodes corresponding to different insurance businesses. Therefore, by matching the insurance business identified by intent, the corresponding process node can be obtained. Then, a process configuration page for the insurance business can be generated based on the process node corresponding to the insurance business. For example, if the insurance business is an insurance claim, it is necessary to first report the case and provide information such as the insurance policy number and the name of the insured. Then, prepare and upload claim application materials such as the insurance policy, accident certificate, loss certificate, and identity certificate. Next, the insurance company verifies the claim and finally pays the claim. Therefore, the process nodes corresponding to the insurance claim are: reporting node, policy information upload node, claim application material upload node, etc. Based on this, the corresponding process configuration page includes configuration boxes corresponding to each of the aforementioned process nodes. Of course, the above examples are only illustrative. When the insurance business is different, the corresponding process configuration page will also be different, and this is not limited to the above examples.

[0049] At the same time, for example, you can also pre-set process configuration page templates corresponding to different insurance businesses. In this way, when using it, you only need to match the corresponding process configuration page template according to the insurance business identified by intention. This will facilitate subsequent process node page configuration and interface configuration.

[0050] Optionally, the process node page configuration and interface configuration process is shown in step S3 below.

[0051] S3. Perform process node configuration processing and business interface configuration processing on each process configuration box in the process configuration page in sequence, so as to obtain an insurance business processing page corresponding to the insurance business after the business interface configuration processing, and generate an insurance business processing system corresponding to the insurance business based on the insurance business processing page, wherein any business interface is used to call an insurance business processing thread, an insurance business model or an insurance knowledge base, and the insurance business model includes a natural language model, an OCR model, an underwriting and claim document image recognition and classification model, a vehicle recognition model, an image correction model, a speech-to-text conversion model and an intent recognition model.

[0052] In this embodiment, it is equivalent to configuring the process nodes in the process configuration page, that is, associating and configuring each node in the insurance business process (for example, underwriting, claims, consultation, etc.) with the corresponding page template. Specifically, you can select or create a page template, configure page elements (that is, configure the required elements on the selected page template, such as input boxes, buttons, pictures, etc., and set their properties, such as size, position, color, etc.), associate data and functions (that is, associate page elements with back-end data or functions, such as associating input boxes with user information tables, and associating buttons with specific functions (such as submitting forms)); and realize visual configuration.

[0053] Business interface configuration processing refers to associating and configuring each node in the insurance business process (for example, underwriting, claims, consulting, etc.) with the corresponding back-end service interface. Specifically, it can be: selecting or creating an interface (that is, selecting a back-end service interface for each process node, or creating a new interface), configuring interface parameters (such as input parameters, output parameters, request methods and request formats, etc.), associating data and functions (that is, associating the interface with the front-end page elements, such as sending form data to the specified interface, and displaying the results returned by the interface on the page). In this way, through interface configuration, data can be automatically acquired, processed and displayed, thereby improving business processing efficiency.

[0054] In specific implementation, for example, but not limited to, the process configuration page can be visually displayed to generate an initial insurance business processing page in response to the development end's human-computer interaction operation on the process configuration of each process configuration box in the process configuration page; that is, the developer performs page configuration of each process node, and the insurance business configuration end responds to the developer's human-computer interaction operation to generate the initial insurance business processing page; similarly, the same is true for the business interface configuration, that is, in response to the development end's human-computer interaction operation on the interface configuration of each process configuration box in the initial insurance business processing page, the business interface is configured for each process configuration box in the initial insurance business processing page, so that after the business interface is configured, the insurance business processing page is obtained.

[0055] Furthermore, the insurance knowledge base mentioned in the example may include but is not limited to: underwriting knowledge base, claims knowledge base, company knowledge base, intention knowledge base and image knowledge base; and the aforementioned insurance business model is a trained model suitable for insurance business, which is pre-stored in the insurance business configuration end; in this way; through the intention configuration of the aforementioned step S1, it is possible to realize the user consultation intention to jump to different insurance business processes; through the interface configuration, the background insurance business service interface can be called, thereby calling different business logics, that is, different business processes call different models, such as the claims process can call the classification model to automatically classify the insurance document pictures uploaded by the user, and the user consultation can call the language model combined with the knowledge base for answering; at the same time, through the front-end page template configuration, the visual configuration of the pages of each node of the process can be realized, and what you see is what you get; by calling the knowledge base, different processes can be associated with different types of knowledge bases, and the knowledge base can be continuously expanded and maintained; thus, through the full process configuration, an insurance business process application with AI dialogue capabilities can be quickly assembled and built.

[0056] Based on this, through the above-mentioned process configuration, it is possible to provide functions such as intent recognition, underwriting structured analysis, claims structured analysis, conversational underwriting and issuance of policies, conversational claims reporting, underwriting and claims knowledge base Q&A, insurance document classification, insurance document recognition, and insurance voice-friendly services for the elderly.

[0057] At the same time, after completing the insurance business process configuration, the insurance business processing page can be published to generate the insurance business processing system after the publication process; in this way, in actual use, the user only needs to enter his intention, and then the intention recognition model can be used to jump to the insurance business processing process required by the user. Then, through conversational business operations, the insurance business processing can be completed, that is, different insurance business processes can be triggered by intention to realize different business functions.

[0058] Based on this, this embodiment can realize the rapid AI empowerment of traditional insurance applications through the insurance industry AI model and conversational process application configuration, so that the configured insurance business process can be used to realize conversational underwriting and issuance of policies, conversational claims reporting, insurance document identification, insurance document classification, insurance structured data extraction, voice-to-text conversion, insurance knowledge base Q&A and other functions, thereby simplifying user operations while meeting the requirements of financial insurance for aging, and at the same time having the advantages of real-time adjustment; based on this, it can meet the rapidly changing system demand adjustments.

[0059] Furthermore, in this embodiment, feedback information from users during use is obtained in real time and used to optimize the process configuration, that is, based on the user feedback information, the process configuration of the insurance business is optimized, so that after the process configuration optimization, an optimized insurance business processing page is obtained.

[0060] Optionally, the specific optimization process is: first, based on the user feedback information, the insurance business prompt word corresponding to the insurance business is updated to obtain an updated insurance business prompt word; then, based on the user feedback information, the insurance business model corresponding to the target configuration box in the process configuration page is optimized to obtain an optimized insurance business model (wherein, the target configuration box is the process configuration box corresponding to the specified business interface in the process configuration page, and the specified business interface is used to call the insurance business model); then, the process configuration page corresponding to the insurance business is updated to obtain an updated process configuration page (i.e., elements within the update page, etc.); finally, the business interface in the updated process configuration page is updated to obtain an optimized insurance business processing page after the update, wherein, after the business interface is updated, the specified business interface in the updated process configuration page is used to call the optimized insurance business model, and the optimized insurance business processing page uses the updated insurance business prompt word to conduct insurance business dialogue when entering the insurance processing thread.

[0061] This is equivalent to monitoring problems and customer behavior during use. If an unfriendly user experience or problems are found during use, model configuration or process optimization configuration adjustments can be made at any time through conversational application process configuration to achieve the purpose of rapid application adjustment and user-imperceptible adjustment. Based on this, traditional application adjustments that require code modification, packaging and release, etc. can be avoided, thereby improving the user experience.

[0062] Therefore, through the fast conversational insurance business process configuration method described in detail in the aforementioned steps S1 to S3, the present invention performs configuration management through AI models and conversational process applications, that is, through process intent configuration, insurance business process node page configuration and business interface configuration, to quickly call AI model capabilities to empower insurance applications with AI. In this way, traditional web business applications in the insurance industry can be quickly transformed and configured into conversational applications based on large models, and new insurance underwriting and claims conversational businesses based on large models can also be quickly created; therefore, the present invention has the advantages of low development cost, low requirements on personnel capabilities, fast model integration, accurate intent recognition, replicable process configuration, fast application launch, real-time adjustment and immediate presentation, and elderly-friendly applications, making it very suitable for large-scale application and promotion.

[0063] like Figure 2 As shown, the second aspect of this embodiment provides a hardware system for implementing the fast conversational insurance business process configuration method described in the first aspect of the embodiment, including:

[0064] The process intention configuration unit is used to obtain at least one insurance business prompt word and perform insurance intention configuration processing based on the at least one insurance business prompt word to determine the insurance business corresponding to the at least one insurance business prompt word.

[0065] The process node page configuration unit is used to generate a process configuration page corresponding to the insurance business according to the insurance business, wherein the process configuration page includes a process configuration box corresponding to each process node of the insurance business.

[0066] A process node interface configuration unit is used to perform process node configuration processing and business interface configuration processing on each process configuration box in the process configuration page in sequence, so as to obtain an insurance business processing page corresponding to the insurance business after the business interface configuration processing, and generate an insurance business processing system corresponding to the insurance business based on the insurance business processing page, wherein any business interface is used to call an insurance business processing thread, an insurance business model or an insurance knowledge base, and the insurance business model includes a natural language model, an OCR model, an underwriting and claim document image recognition and classification model, a vehicle recognition model, an image correction model, a speech-to-text conversion model and an intent recognition model.

[0067] The working process, working details and technical effects of the system provided in this embodiment can be found in the first aspect of the embodiment and will not be described in detail here.

[0068] like Figure 3 As shown, the third aspect of this embodiment provides a fast conversational insurance business process configuration device, taking the device as an electronic device as an example, comprising: a memory, a processor and a transceiver that are communicatively connected in sequence, wherein the memory is used to store computer programs, the transceiver is used to send and receive messages, and the processor is used to read the computer program and execute the fast conversational insurance business process configuration method as described in the first aspect of the embodiment.

[0069] For example, the memory may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out memory (FIFO), and / or first-in-last-out memory (FILO). Specifically, the processor may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor may be implemented in at least one hardware form selected from the group consisting of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). Furthermore, the processor may include a main processor and a coprocessor. The main processor is a processor for processing data in an awake state, also known as a CPU (Central Processing Unit); and the coprocessor is a low-power processor for processing data in a standby state.

[0070] In some embodiments, the processor may be integrated with a GPU (Graphics Processing Unit, image processor), which is responsible for rendering and drawing the content required to be displayed on the display screen. For example, the processor may be limited to a microprocessor of the STM32F105 series, a reduced instruction set computer (RISC) microprocessor, an X86 architecture processor, or an integrated embedded neural network processor (NPU); the transceiver may be, but is not limited to, a wireless fidelity (WIFI) wireless transceiver, a Bluetooth wireless transceiver, a general packet radio service technology (GPRS) wireless transceiver, a ZigBee protocol (a low-power local area network protocol based on the IEEE 802.15.4 standard, ZigBee) wireless transceiver, a 3G transceiver, a 4G transceiver, and / or a 5G transceiver. In addition, the device may also include, but is not limited to, a power module, a display screen, and other necessary components.

[0071] The working process, working details and technical effects of the electronic device provided in this embodiment can be found in the first aspect of the embodiment and will not be described in detail here.

[0072] The fourth aspect of this embodiment provides a storage medium that stores instructions for the fast conversational insurance business process configuration method described in the first aspect of the embodiment, that is, the storage medium stores instructions, and when the instructions are run on a computer, the fast conversational insurance business process configuration method described in the first aspect of the embodiment is executed.

[0073] The storage medium refers to a carrier for storing data, which may include but is not limited to a floppy disk, an optical disk, a hard disk, a flash memory, a USB flash drive and / or a memory stick, and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0074] The working process, working details and technical effects of the storage medium provided in this embodiment can be found in the first aspect of the embodiment and will not be described in detail here.

[0075] The fifth aspect of this embodiment provides a computer program product containing instructions, which, when executed on a computer, causes the computer to execute the fast conversational insurance business process configuration method as described in the first aspect of the embodiment, wherein the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0076] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.

Claims

1. A fast conversational insurance business process configuration method, characterized in that: include: Acquiring at least one insurance service prompt word and, based on the at least one insurance service prompt word, performing insurance intent configuration processing to determine the insurance service corresponding to the at least one insurance service prompt word, wherein performing insurance intent configuration processing to obtain the insurance service corresponding to the at least one insurance service prompt word based on the at least one insurance service prompt word includes: utilizing a machine learning model to perform intent recognition on the at least one insurance service prompt word to identify the insurance service corresponding to the at least one insurance service prompt word; According to the insurance business, generating a process configuration page corresponding to the insurance business, wherein the process configuration page includes a process configuration box corresponding to each process node of the insurance business; Performing process node configuration processing and business interface configuration processing on each process configuration box in the process configuration page in sequence, so as to obtain an insurance business processing page corresponding to the insurance business after the business interface configuration processing, and generating an insurance business processing system corresponding to the insurance business based on the insurance business processing page, wherein any business interface is used to call an insurance business processing thread, an insurance business model, or an insurance knowledge base, and the insurance business model includes a natural language model, an OCR model, an underwriting and claim document image recognition and classification model, a vehicle recognition model, an image correction model, a speech-to-text conversion model, and an intent recognition model; The process node configuration process involves associating and configuring each node in the insurance business process with the corresponding page template, including selecting or creating a page template, configuring page elements, and associating data and functions. The business interface configuration process involves associating and configuring each node in the insurance business process with the corresponding backend service interface, including selecting or creating an interface, configuring interface parameters, and associating data and functions. Obtain user feedback information; Based on the user feedback information, the process configuration of the insurance business is optimized to obtain an optimized insurance business processing page after the process configuration optimization. The process configuration of the insurance business is optimized based on the user feedback information, including: updating the insurance service prompt word corresponding to the insurance service according to the user usage feedback information to obtain an updated insurance service prompt word; Optimizing the insurance business model corresponding to the target configuration box in the process configuration page based on the user feedback information to obtain an optimized insurance business model, wherein the target configuration box is a process configuration box corresponding to a specified business interface in the process configuration page, and the specified business interface is used to call the insurance business model; Updating the process configuration page corresponding to the insurance business to obtain an updated process configuration page; The business interface in the updated process configuration page is updated to obtain an optimized insurance business processing page after the update, wherein, after the business interface is updated, the designated business interface in the updated process configuration page is used to call the optimized insurance business model, and the optimized insurance business processing page uses the updated insurance business prompt words to conduct insurance business dialogue when entering the insurance processing thread.

2. The method according to claim 1, characterized in that Perform process node configuration processing and business interface configuration processing on each process configuration box in the process configuration page, including: Visually displaying the process configuration page to generate an initial insurance business processing page in response to a human-computer interaction operation of the process configuration on each process configuration box in the process configuration page by the development end; In response to the development end configuring human-computer interaction operations on the interfaces of the various process configuration boxes in the initial insurance business processing page, a business interface is configured for each process configuration box in the initial insurance business processing page, so that the insurance business processing page is obtained after the business interface is configured.

3. The method according to claim 1, characterized in that Generating an insurance business processing system corresponding to the insurance business based on the insurance business processing page, including: The insurance business processing page is published to generate the insurance business processing system after the publication process.

4. The method according to claim 1, wherein The insurance knowledge base includes: an underwriting knowledge base, a claims knowledge base, a company knowledge base, an intention knowledge base and an image knowledge base.

5. A fast conversational insurance business process configuration system, characterized by: include: A process intent configuration unit is configured to obtain at least one insurance business prompt word and, based on the at least one insurance business prompt word, perform insurance intent configuration processing to determine the insurance business corresponding to the at least one insurance business prompt word, wherein the insurance intent configuration processing based on the at least one insurance business prompt word to obtain the insurance business corresponding to the at least one insurance business prompt word includes: using a machine learning model to perform intent recognition on the at least one insurance business prompt word to identify the insurance business corresponding to the at least one insurance business prompt word; A process node page configuration unit, configured to generate a process configuration page corresponding to the insurance business according to the insurance business, wherein the process configuration page includes a process configuration box corresponding to each process node of the insurance business; A process node interface configuration unit, configured to sequentially perform process node configuration processing and business interface configuration processing on each process configuration box in the process configuration page, so as to obtain an insurance business processing page corresponding to the insurance business after the business interface configuration processing, and generate an insurance business processing system corresponding to the insurance business based on the insurance business processing page, wherein any business interface is used to call an insurance business processing thread, an insurance business model, or an insurance knowledge base, and the insurance business model includes a natural language model, an OCR model, an underwriting and claim document image recognition and classification model, a vehicle recognition model, an image correction model, a speech-to-text conversion model, and an intent recognition model; The process node configuration process involves associating and configuring each node in the insurance business process with the corresponding page template, including selecting or creating a page template, configuring page elements, and associating data and functions. The business interface configuration process involves associating and configuring each node in the insurance business process with the corresponding backend service interface, including selecting or creating an interface, configuring interface parameters, and associating data and functions. The process configuration optimization processing unit is used to obtain user usage feedback information and perform process configuration optimization processing on the insurance business based on the user usage feedback information, so as to obtain an optimized insurance business processing page after the process configuration optimization processing. The process configuration optimization processing on the insurance business based on the user usage feedback information includes: updating the insurance service prompt word corresponding to the insurance service according to the user usage feedback information to obtain an updated insurance service prompt word; Optimizing the insurance business model corresponding to the target configuration box in the process configuration page based on the user feedback information to obtain an optimized insurance business model, wherein the target configuration box is a process configuration box corresponding to a specified business interface in the process configuration page, and the specified business interface is used to call the insurance business model; Updating the process configuration page corresponding to the insurance business to obtain an updated process configuration page; The business interface in the updated process configuration page is updated to obtain an optimized insurance business processing page after the update, wherein, after the business interface is updated, the designated business interface in the updated process configuration page is used to call the optimized insurance business model, and the optimized insurance business processing page uses the updated insurance business prompt words to conduct insurance business dialogue when entering the insurance processing thread.

6. An electronic device, characterized in that: include: A memory, a processor and a transceiver that are communicatively connected in sequence, wherein the memory is used to store computer programs, the transceiver is used to send and receive messages, and the processor is used to read the computer programs, and execute the fast conversational insurance business process configuration method as described in any one of claims 1 to 4.

7. A computer program product comprising instructions, characterized in that When the instructions are executed on a computer, the computer is caused to execute the fast interactive insurance business process configuration method as described in any one of claims 1 to 4.

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