Information processing method and device, computer equipment and storage medium

Abstract

The invention belongs to the technical field of artificial intelligence, and relates to an information processing method and device, computer equipment and a storage medium, and the method comprises the steps: carrying out the text recognition of input information, and obtaining text information; performing intention recognition on the text information to obtain an intention recognition result; if the intention recognition result is an order issuing intention, receiving a certificate picture of the insurance applicant returned by the target person; performing information extraction on the certificate picture to obtain key information; generating a quotation sheet based on the key information, and sending a quotation confirmation link to the target person; if the confirmation event is received, insuring the insuring parameter information based on the insuring interface to obtain an insuring result; if the insurance buying result is successful insurance buying, generating a payment link of the insurance slip; and the payment link is sent to the insurance applicant, and after payment success information is received, the state of the insurance policy is updated. In addition, the insurance slip can be stored in the block chain. The method can be applied to an order issuing scene in the field of financial science and technology, and the order issuing efficiency and accuracy are improved through the method.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence technology and can be applied to the field of fintech, particularly to information processing methods, devices, computer equipment, and storage media. Background Art

[0002] In the existing vehicle insurance policy issuance process, there are multiple cumbersome and error-prone steps, which are mainly manually operated by 4S store service personnel and salesmen. Specifically, the process starts with the service personnel collecting necessary certificates and materials from the user, including but not limited to ID cards, business licenses, vehicle operation licenses, and new vehicle certificates. These documents are the key basis for verifying vehicle information and the identity of the applicant for insurance.

[0003] However, in the current vehicle insurance policy issuance process, the salesman is responsible for identifying and manually filling in this complex form information. This process not only takes a long time but also, due to human factors, is extremely prone to information entry errors, which may lead to the problem of policy issuance failure. Such errors not only increase the cost of subsequent corrections but also may delay the effective time of the customer's insurance and affect the customer experience.

[0004] Furthermore, the method of visually identifying this certificate information is not only inefficient but also limited by personal experience and eyesight conditions, and its accuracy is difficult to guarantee. This traditional identification method not only fails to meet the requirements of modern insurance industry for efficient and accurate processing of a large amount of data but also increases the uncertainty and risks in business operations.

[0005] In addition, after the form information is filled in, the vehicle insurance policy issuance process also needs to go through the user confirmation and payment links. At this stage, the salesman needs to switch to the dedicated APP of the insurance company, locate the corresponding applicant's insurance policy through the search function, and then manually generate and share the confirmation link with the user. This process not only requires the salesman to have proficient multitasking capabilities but also requires frequent switching between different application programs and function interfaces, greatly increasing the complexity and time cost of the operation.

[0006] In summary, the existing vehicle insurance policy issuance process has problems of low efficiency and low accuracy. Summary of the Invention

[0007] The purpose of the embodiments of this application is to propose an information processing method, device, computer equipment, and storage media to solve the technical problems of low efficiency and low accuracy existing in the existing vehicle insurance policy issuance process.

[0008] In a first aspect, an information processing method is provided, including:

[0009] If input information sent by a target person through a preset interface is received, perform text recognition on the input information to obtain corresponding text information;

[0010] Perform intent recognition on the text information to obtain the corresponding intent recognition result;

[0011] If the intent recognition result is an order placement intent, send a follow-up message to the target person and receive the ID picture corresponding to the applicant returned by the target person;

[0012] Extract information related to insurance application from the ID picture to obtain the corresponding key information;

[0013] Generate a quotation based on the key information and send the quotation confirmation link corresponding to the quotation to the target person;

[0014] If a confirmation event corresponding to the quotation confirmation link is received, obtain the insurance application parameter information corresponding to the applicant, and perform insurance application processing on the insurance application parameter information based on a preset insurance application interface to obtain the corresponding insurance application result;

[0015] If the insurance application result is a successful insurance application, obtain the generated insurance application form and generate a payment link corresponding to the insurance application form;

[0016] Send the payment link to the applicant, and update the status of the insurance application form after receiving the payment success information.

[0017] In a second aspect, an information processing device is provided, including:

[0018] A first recognition module, configured to perform text recognition on the input information if the input information sent by the target person through a preset interface is received, to obtain the corresponding text information;

[0019] A second recognition module, configured to perform intent recognition on the text information to obtain the corresponding intent recognition result;

[0020] A receiving module, configured to send a follow-up message to the target person and receive the ID picture corresponding to the applicant returned by the target person if the intent recognition result is an order placement intent;

[0021] An extraction module, configured to extract information related to insurance application from the ID picture to obtain the corresponding key information;

[0022] A generation module, configured to generate a quotation based on the key information and send the quotation confirmation link corresponding to the quotation to the target person;

[0023] The first processing module is configured to, if a confirmation event corresponding to the quotation confirmation link is received, obtain the insurance application parameter information corresponding to the applicant, and perform insurance application processing on the insurance application parameter information based on a preset insurance application interface to obtain a corresponding insurance application result;

[0024] The second processing module is configured to, if the insurance application result is successful insurance application, obtain the generated insurance application form, and generate a payment link corresponding to the insurance application form;

[0025] The third processing module is configured to send the payment link to the applicant, and update the status of the insurance application form after receiving payment success information.

[0026] In a third aspect, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above information processing method are implemented.

[0027] In a fourth aspect, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above information processing method are implemented.

[0028] In the solution implemented by the above information processing method, device, computer device, and storage medium, if input information sent by a target person through a preset interface is received, first perform text recognition on the input information to obtain corresponding text information; then perform intent recognition on the text information to obtain a corresponding intent recognition result; if the intent recognition result is an order issuing intent, send a follow-up information to the target person, and receive a certificate picture corresponding to the applicant returned by the target person; then extract information related to insurance application from the certificate picture to obtain corresponding key information; subsequently generate a quotation form based on the key information, and send a quotation confirmation link corresponding to the quotation form to the target person; if a confirmation event corresponding to the quotation confirmation link is received, obtain the insurance application parameter information corresponding to the applicant, and perform insurance application processing on the insurance application parameter information based on a preset insurance application interface to obtain a corresponding insurance application result; if the insurance application result is successful insurance application, obtain the generated insurance application form, and generate a payment link corresponding to the insurance application form; finally, send the payment link to the applicant, and update the status of the insurance application form after receiving payment success information. In this way, by adopting the above information processing method, the present application can automatically and intelligently complete the order issuing process, effectively improving the order issuing efficiency and accuracy. Description of the Drawings

[0029] To more clearly illustrate the solutions in this application, the following will give a brief introduction to the accompanying drawings required for the description of the embodiments of this application. Obviously, the accompanying drawings in the following description are some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0030] Figure 1 is an exemplary system architecture diagram to which this application can be applied;

[0031] Figure 2 A flowchart of an embodiment of the information processing method according to this application;

[0032] Figure 3 is a schematic structural diagram of an embodiment of the information processing device according to this application;

[0033] Figure 4 is a schematic structural diagram of an embodiment of the computer device according to this application. Detailed implementation manners

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs; the terms used in the description of the application in this specification are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above accompanying drawings are intended to cover non-exclusive inclusion. The terms "first", "second", etc. in the specification and claims of this application or the above accompanying drawings are used to distinguish different objects and are not used to describe a specific order.

[0035] Referring to "embodiment" herein means that a specific feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of this application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0036] To enable those skilled in the technical field to better understand the solutions of this application, the following will clearly and completely describe the technical solutions in the embodiments of this application in conjunction with the accompanying drawings.

[0037] Such as Figure 1As shown, the system architecture 100 may include a terminal device 101, a network 102, and a server 103. The terminal device 101 may be a laptop computer 1011, a tablet computer 1012, or a mobile phone 1013. The network 102 is a medium for providing a communication link between the terminal device 101 and the server 103. The network 102 may include various connection types, such as wired, wireless communication links, or fiber optic cables, etc.

[0038] Users can use the terminal device 101 to interact with the server 103 through the network 102 to receive or send messages, etc. Various communication client applications may be installed on the terminal device 101, such as a web browser application, a shopping application, a search application, an instant messaging tool, an email client, a social platform software, etc.

[0039] The terminal device 101 may be various electronic devices with a display screen and supporting web browsing. In addition to the laptop computer 1011, the tablet computer 1012, or the mobile phone 1013, the terminal device 101 may also be an e-book reader, an MP3 player (Moving Picture Experts Group Audio Layer III), an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop portable computer, a desktop computer, etc.

[0040] The server 103 may be a server providing various services, such as a background server supporting the pages displayed on the terminal device 101.

[0041] It should be noted that the information processing method provided by the embodiments of the present application is generally executed by the server / terminal device. Correspondingly, the information processing device is generally set in the server / terminal device.

[0042] It should be understood that Figure 1 the numbers of the terminal devices, networks, and servers in

[0043] are merely illustrative. According to the implementation requirements, there may be any number of terminal devices, networks, and servers. Figure 2 Continuing to refer to Figure 2 , a flowchart showing an embodiment of the information processing method according to the present application is shown. According to different requirements, the order of the steps in this flowchart may be changed, and some steps may be omitted. The information processing method provided by the embodiments of the present application can be applied to any scenario that requires product recommendation. Then, this information processing method can be applied to the products in these scenarios. For example, product recommendation in the financial insurance field. The described information processing method includes the following steps:

[0044] Step S201, if input information sent by a target person through a preset interface is received, perform text recognition on the input information to obtain corresponding text information.

[0045] In this embodiment, the electronic device (such as Figure 1 the server / terminal device shown) on which the information processing method runs can obtain input information through a wired connection method or a wireless connection method. It should be noted that the above wireless connection methods can include, but are not limited to, 3G / 4G / 5G connections, WiFi connections, Bluetooth connections, WiMAX connections, Zigbee connections, UWB (ultra wideband) connections, and other currently known or future-developed wireless connection methods. The execution subject of this application is a robot system, or simply referred to as a system. This application can be applied to the application scenario of processing insurance applications for users in vehicle insurance policy issuance. The above target user can refer to the service personnel at a vehicle insurance application outlet, such as the service personnel at a 4S store outlet, or the vehicle user who needs to apply for vehicle insurance, that is, the vehicle owner. The above target person can send input information such as voice and pictures to the corresponding policy writer through the software interface of an instant messaging software. After the instant messaging software background receives this input information, it will be transmitted to the robot system. Among them, for the specific implementation process of performing text recognition on the input information to obtain corresponding text information, this application will further describe the details in subsequent specific embodiments and will not elaborate too much here.

[0046] Step S202, perform intent recognition on the text information to obtain a corresponding intent recognition result.

[0047] In this embodiment, for the specific implementation process of performing intent recognition on the text information to obtain a corresponding intent recognition result, this application will further describe the details in subsequent specific embodiments and will not elaborate too much here.

[0048] Step S203, if the intent recognition result is a policy issuance intent, send a follow-up message to the target person and receive the certificate pictures corresponding to the applicant returned by the target person.

[0049] In this embodiment, when it is detected that the above intent recognition result is a policy issuance intent, the robot system will simulate the role of a policy writer and send a follow-up message to the target person to inquire about the vehicle and driver certificate information required for vehicle insurance application. Among them, the message content of the above follow-up message can include: "Please provide a picture of the applicant's ID number", "Please send a photo of the vehicle identification number", etc. The certificate pictures corresponding to the applicant returned by the above target person can include important information such as the ID number, vehicle identification number, and license plate number.

[0050] Step S204: Extract information related to insurance application from the certificate picture to obtain corresponding key information.

[0051] In this embodiment, after receiving the certificate picture, the OCR service can be called to extract information related to insurance application from the above certificate picture and obtain corresponding key information, such as ID number, vehicle identification number, license plate number, etc. And the key information will be stored in the database of the robot system for subsequent quotation and insurance application processes.

[0052] Step S205: Generate a quotation based on the key information and send a quotation confirmation link corresponding to the quotation to the target person.

[0053] In this embodiment, for the specific implementation process of generating a quotation based on the key information, this application will further describe the details in subsequent specific embodiments and will not elaborate too much here. Among them, after generating the quotation, the quotation can be further encapsulated into a quotation confirmation link, which contains the detailed information of the quotation and a confirmation button, and the quotation confirmation link is sent to the above target person. In addition, after receiving the quotation confirmation link, the target person will forward it to the applicant for confirmation. After viewing the quotation, if the applicant agrees with the quotation, the confirmation button is clicked. The click event (i.e., the confirmation event) will be sent back to the robot system through the instant messaging software. After receiving the confirmation event, the robot system enters the next insurance application process.

[0054] Step S206: If a confirmation event corresponding to the quotation confirmation link is received, obtain the insurance application parameter information corresponding to the applicant, and perform insurance application processing on the insurance application parameter information based on a preset insurance application interface to obtain a corresponding insurance application result.

[0055] In this embodiment, the above insurance application parameter information may include the complete information of the applicant, including identity information, vehicle information, selected package, quotation, etc. Among them, for the specific implementation process of performing insurance application processing on the insurance application parameter information based on a preset insurance application interface to obtain a corresponding insurance application result, this application will further describe the details in subsequent specific embodiments and will not elaborate too much here. In addition, during the policy issuance process, relevant information such as the applicant's historical quotation, invoice, policy, etc. can also be quickly retrieved through text input, thus eliminating the need for the salesman to screen and search in different systems.

[0056] Step S207: If the insurance application result is successful, obtain the generated insurance policy and generate a payment link corresponding to the insurance policy.

[0057] In this embodiment, after successfully completing the insurance application process for the insurance application parameter information, a corresponding insurance application form will be generated, and the system will generate a payment order and encapsulate the payment order into a payment link.

[0058] Step S208: Send the payment link to the applicant, and after receiving the payment success information, update the status of the insurance application form.

[0059] In this embodiment, the above payment link can be sent to the applicant by using instant messaging software. After the applicant clicks on the payment link, they will be redirected to the payment page for payment. After successful payment, the insurance application is completed, and the payment page returns the payment success information to the robot system. After the robot system receives the payment success information, it will update the status of the insurance application form to "Paid" to complete the status update of the insurance application form. Further subsequent processing can be carried out, such as generating an electronic insurance policy, sending a text message notification, etc.

[0060] If this application receives the input information sent by the target person through the preset interface, first perform text recognition on the input information to obtain the corresponding text information; then perform intent recognition on the text information to obtain the corresponding intent recognition result; if the intent recognition result is an insurance policy issuance intent, send a follow-up information to the target person and receive the ID card picture corresponding to the applicant returned by the target person; then extract the information related to insurance application from the ID card picture to obtain the corresponding key information; subsequently generate a quotation form based on the key information and send the quotation confirmation link corresponding to the quotation form to the target person; if a confirmation event corresponding to the quotation confirmation link is received, obtain the insurance application parameter information corresponding to the applicant and perform an insurance application process on the insurance application parameter information based on the preset insurance application interface to obtain the corresponding insurance application result; if the insurance application result is successful insurance application, obtain the generated insurance application form and generate a payment link corresponding to the insurance application form; finally, send the payment link to the applicant, and after receiving the payment success information, update the status of the insurance application form. In this way, by adopting the above information processing method, this application can automatically and intelligently complete the insurance policy issuance process, effectively improving the efficiency and accuracy of insurance policy issuance.

[0061] In some alternative implementation manners, the performing text recognition on the input information to obtain the corresponding text information in step S201 includes the following steps:

[0062] Obtain the information type corresponding to the input information.

[0063] In this embodiment, the above input information may be information including the policyholder and vehicle information. The above information types may include voice information or picture information. For example, it may include photos or scanned copies of documents such as the policyholder's ID card, business license, vehicle license, and new vehicle certificate.

[0064] Obtain a text recognition strategy corresponding to the information type.

[0065] In this embodiment, for voice information, the corresponding text recognition strategy is to call a voice recognition service to convert the voice into text. For picture information, the corresponding text recognition strategy is to call an OCR service to preprocess the picture (such as denoising, binarization, etc.), and then extract the text information therein.

[0066] Perform text recognition on the input information based on the text extraction strategy to obtain a corresponding recognition result.

[0067] In this embodiment, the input information can be text recognized according to the strategy content of the selected text extraction strategy, so as to obtain a corresponding recognition result, that is, text information.

[0068] Use the recognition result as the text information.

[0069] This application obtains the information type corresponding to the input information; then obtains the text recognition strategy corresponding to the information type; then performs text recognition on the input information based on the text extraction strategy to obtain a corresponding recognition result; subsequently, uses the recognition result as the text information. This application obtains the information type corresponding to the input information and obtains the text recognition strategy corresponding to the information type, and then performs text recognition on the input information based on the use of the text extraction strategy, so as to realize efficient and accurate recognition of the corresponding text information, effectively improve the standardization and intelligence of text recognition, and ensure the accuracy of the obtained text information.

[0070] In some alternative implementation manners of this embodiment, step S202 includes the following steps:

[0071] Preprocess the text information to obtain corresponding target text information.

[0072] In this embodiment, the above preprocessing includes text cleaning, word segmentation, and part-of-speech tagging. Among them, text cleaning includes: cleaning the converted text information to remove irrelevant characters, special symbols, stop words, etc., to improve the accuracy of subsequent analysis. Word segmentation includes: using a word segmentation algorithm to cut the text information into meaningful lexical units. Part-of-speech tagging includes: tagging the part of speech for each lexical unit, such as noun, verb, adjective, etc., which helps to understand the function and role of the word in the sentence.

[0073] Extract keywords from the target text information to obtain keywords related to insurance application.

[0074] In this embodiment, keywords related to motor vehicle insurance policy issuance, such as "insurance application", "policy", "vehicle information", etc., can be extracted from the target text information according to a preset keyword library or by using a keyword extraction algorithm. In addition, in addition to keywords, the context of the target text information can be further analyzed to understand the association and semantic relationship between words. Specifically, it can be achieved through techniques such as syntactic analysis and semantic role labeling.

[0075] Invoke a preset intention recognition model.

[0076] In this embodiment, the model construction process of the above-mentioned intention recognition model includes: First, according to business requirements and data characteristics, select a suitable intention recognition model, such as a rule-based method, a machine learning model (such as support vector machine, naive Bayes, etc.) or a deep learning model (such as convolutional neural network, recurrent neural network, Transformer, etc.). Then use the labeled training data to train the model so that it can accurately identify the text information containing the policy issuance intention. Among them, the training data includes positive examples (texts containing the policy issuance intention) and negative examples (texts not containing the policy issuance intention). After that, after the model training is completed, use the test data to evaluate the model to check its recognition accuracy and generalization ability, and finally construct an intention recognition model that meets the evaluation requirements. Among them, the evaluation metrics may include accuracy, recall rate, F1 score, etc.

[0077] Perform intention recognition processing on the keywords based on the intention recognition model to obtain the probability distribution of multiple corresponding intentions.

[0078] In this embodiment, by inputting the above-mentioned keywords into the trained intention recognition model, the intention recognition model will output the probability distribution of multiple intentions.

[0079] Screen out the target intention with the highest probability from all the intentions.

[0080] In this embodiment, according to a preset threshold or sorting rule, select the target intention with the highest probability as the final intention recognition result.

[0081] Take the target intention as the intention recognition result.

[0082] In this embodiment, if the intention recognition model does not output a policy issuance intention, further information interrogation or an error prompt is returned.

[0083] In this application, the corresponding target text information is obtained by preprocessing the text information; then, keywords related to insurance application are extracted from the target text information; afterwards, a preset intention recognition model is called; subsequently, intention recognition processing is performed on the keywords based on the intention recognition model to obtain the probability distribution of multiple corresponding intentions; and the target intention with the highest probability is selected from all the intentions; finally, the target intention is used as the intention recognition result. By preprocessing the text information to obtain the target text information, extracting keywords related to insurance application from the target text information, then performing intention recognition processing on the keywords based on the use of the intention recognition model to obtain the probability distribution of multiple corresponding intentions, and further selecting the target intention with the highest probability from all the intentions and using it as the corresponding intention recognition result, this application can automatically and accurately complete the intention recognition of text information, improve the processing efficiency of the intention recognition of text information, and ensure the accuracy of the obtained intention recognition result.

[0084] In some alternative implementation manners, generating a quotation based on the key information in step S205 includes the following steps:

[0085] Obtain the salesperson performance attribution information, package configuration information, and institution information corresponding to the applicant.

[0086] In this embodiment, the above-mentioned salesperson performance attribution information may include information such as the salesperson ID corresponding to the salesperson who contacts the applicant and the performance sharing ratio. The above-mentioned package configuration information may include premium calculation rules for different packages, preferential activities, etc. The above-mentioned institution information refers to personalized information related to the institution, such as the premium floating range set by the institution, special preferential policies, etc.

[0087] Integrate and process the key information, the salesperson performance attribution information, the package configuration information, and the institution information to obtain the corresponding integrated information.

[0088] In this embodiment, the above key information, salesperson performance attribution information, package configuration information, and institution information can be integrated and preprocessed to ensure the accuracy and integrity of the generated integrated information.

[0089] Call a preset quotation interface.

[0090] In this embodiment, the above-mentioned quotation interface is an interface responsible for quotation processing. The quotation interface can be pre-configured according to actual quotation processing requirements, including which parameters to receive, how to parse these parameters, how to calculate premiums based on the parameters, etc. Among them, premium calculation rules are also preset in the quotation processing of the quotation interface, and the premium calculation rules may be generated based on multiple factors such as vehicle model, vehicle age, driving record, selected package, etc.

[0091] Generate a quotation form for the integrated information based on the said quotation interface to obtain the corresponding said quotation form.

[0092] In this embodiment, after obtaining the integrated information, the integrated information can be further formatted according to the requirements of the quotation interface. Specifically, the integrated information can be converted into JSON, XML or other data formats so that the quotation interface can correctly parse it. In addition, the specific implementation process of generating a quotation form for the integrated information based on the said quotation interface to obtain the corresponding said quotation form will be further described in detail in the subsequent specific embodiments of this application and will not be elaborated here too much.

[0093] This application obtains the business performance attribution information, package configuration information, and institutional information corresponding to the policyholder; then integrates and processes the key information, the business performance attribution information, the package configuration information, and the institutional information to obtain the corresponding integrated information; then calls a preset quotation interface; subsequently, generates a quotation form for the integrated information based on the said quotation interface to obtain the corresponding said quotation form. By obtaining the business performance attribution information, package configuration information, and institutional information corresponding to the policyholder, integrating and processing the key information, business performance attribution information, package configuration information, and institutional information to obtain the corresponding integrated information, and then generating a quotation form for the integrated information based on the use of the quotation interface, this application can automatically, efficiently, and accurately generate the corresponding quotation form, effectively improving the generation efficiency and accuracy of the quotation form.

[0094] In some alternative implementation manners, the generating a quotation form for the integrated information based on the said quotation interface to obtain the corresponding said quotation form includes the following steps:

[0095] Based on the said quotation interface, perform calculation processing on the integrated information using a preset premium calculation rule to obtain the corresponding premium amount.

[0096] In this embodiment, the above integrated information can be passed as a parameter to the quotation interface. After receiving the integrated information, the quotation interface will perform calculation processing on the integrated information according to the internally set premium calculation rule, thereby calculating the corresponding premium amount. Among them, the above premium calculation rule can be generated based on multiple factors such as vehicle model, vehicle age, driving record, and selected package.

[0097] Obtain the preferential information corresponding to the package configuration information.

[0098] In this embodiment, the quotation interface can query the above package configuration information to query the applicable preferential information from the above package configuration information according to factors such as the applicant information and the selected package.

[0099] Perform quotation form assembly processing based on the integrated information, the premium amount, and the preferential information to obtain the corresponding first quotation form.

[0100] In this embodiment, a complete quotation form can be assembled according to the integrated information, the premium calculation result (premium amount), and the preferential information. Specifically, the quotation form usually can include key information such as applicant information, vehicle information, selected package, premium amount, preferential information, quotation validity period, etc.

[0101] Perform data formatting processing on the first quotation form to obtain the corresponding second quotation form.

[0102] In this embodiment, the above data formatting processing refers to converting the assembled first quotation form into the data format returned by the quotation interface, such as JSON format or XML format, for subsequent parsing and processing by the system.

[0103] Use the second quotation form as the quotation form.

[0104] In this application, based on the quotation interface, use a preset premium calculation rule to perform calculation processing on the integrated information to obtain the corresponding premium amount; then obtain the preferential information corresponding to the package configuration information; then perform quotation form assembly processing based on the integrated information, the premium amount, and the preferential information to obtain the corresponding first quotation form; subsequently perform data formatting processing on the first quotation form to obtain the corresponding second quotation form; finally use the second quotation form as the quotation form. This application performs calculation processing on the integrated information based on the quotation interface using a preset premium calculation rule to obtain the corresponding premium amount, and obtains the preferential information corresponding to the package configuration information. Subsequently, perform quotation form assembly processing based on the integrated information, the premium amount, and the preferential information to obtain the corresponding first quotation form, and further perform data formatting processing on the first quotation form, so as to accurately construct the required quotation form and effectively ensure the accuracy of the generated quotation form.

[0105] In some optional implementation manners of this embodiment, the performing insurance processing on the insurance parameter information based on the preset insurance interface in step S206 to obtain the corresponding insurance result includes the following steps:

[0106] Call the insurance service corresponding to the insurance interface.

[0107] In this embodiment, the above-mentioned insurance application service refers to the service responsible for executing the insurance application process, and the above-mentioned insurance application interface refers to the processing interface of the insurance application service.

[0108] Transmit the above-mentioned insurance application parameter information to the above-mentioned insurance application service.

[0109] In this embodiment, the above-mentioned parameter information can be encapsulated into a parameter format that meets the requirements of the insurance application interface of the insurance application service, such as including JSON, XML, or other data formats, and then the encapsulated parameter information is transmitted to the above-mentioned insurance application service to initiate the corresponding insurance application process.

[0110] Generate an initial insurance application form corresponding to the above-mentioned insurance application parameter information based on the above-mentioned insurance application service.

[0111] In this embodiment, after receiving the insurance application parameter information through the insurance application interface, the insurance application service will generate a corresponding initial insurance application form according to the internally set rules and algorithms. Among them, the initial insurance application form includes information such as the basic information of the applicant, vehicle information, selected package, premium amount, insurance terms, etc.

[0112] Verify the above-mentioned initial insurance application form based on a preset verification strategy.

[0113] In this embodiment, the content of the above-mentioned verification strategy includes: conducting an internal review of the generated insurance application form to ensure the accuracy and compliance of the information in the insurance application form. Specifically, the above-mentioned initial insurance application form can be verified according to the content of the above-mentioned verification strategy to obtain the corresponding verification result. The verification result can include that the initial insurance application form passes the verification or the initial insurance application form fails to pass the verification.

[0114] If the above-mentioned initial insurance application form passes the verification, then conduct insurance application processing on the above-mentioned initial insurance application form based on a preset insurance application process processing strategy, and obtain the final status information of the insurance application process of the above-mentioned initial insurance application form.

[0115] In this embodiment, the above-mentioned insurance application process processing strategy refers to a strategy that ensures the accuracy of the applicant's information, correct premium calculation, and successful generation of the insurance application form. After detecting that the initial insurance application form passes the verification, the initial insurance application form will be processed according to the above-mentioned insurance application process processing strategy, and the status of the insurance application process will be monitored through the insurance application interface or polling method. By obtaining the progress information of the insurance application process in real time, such as being processed, reviewed, awaiting payment, etc., and obtaining the final status information of the insurance application process of the initial insurance application form. Among them, the final status information includes successful completion or abnormality.

[0116] If the above-mentioned final status information is successful completion, then generate an insurance application result indicating successful insurance application.

[0117] In this embodiment, if the final status information of the insurance application process of the above-mentioned initial insurance application form is successfully completed, the system will generate a final insurance application form and generate an insurance application result indicating successful insurance application corresponding to the insurance application form.

[0118] This application calls the insurance service corresponding to the insurance interface; transmits the insurance parameter information to the insurance service; then generates an initial insurance application form corresponding to the insurance parameter information based on the insurance service; subsequently, the initial insurance application form is verified based on a preset verification strategy; if the initial insurance application form passes the verification, the initial insurance application form is processed for insurance based on a preset insurance application process handling strategy, and the final status information of the insurance application process of the initial insurance application form is obtained; if the final status information is successfully completed, an insurance application result indicating successful insurance application is generated. This application calls the insurance service corresponding to the insurance interface, transmits the insurance parameter information to the insurance service, then generates an initial insurance application form corresponding to the insurance parameter information based on the use of the insurance service, and after detecting that the initial insurance application form passes the verification based on the use of the verification strategy, will further process the initial insurance application form for insurance based on the use of the insurance application process handling strategy, and obtain the final status information of the insurance application process of the initial insurance application form. Finally, when detecting that the final status information is successfully completed, an insurance application result indicating successful insurance application will be generated, thereby realizing automatically and intelligently obtaining the corresponding insurance application result by processing the insurance parameter information, ensuring the accuracy of the obtained insurance application result.

[0119] In some optional implementation manners of this embodiment, after the step of obtaining the final status information of the insurance application process of the initial insurance application form, the following steps are further included:

[0120] If the final status information is abnormal, a message for transferring to a human operator corresponding to the initial insurance application form is generated.

[0121] In this embodiment, if it is detected that the final status information of the insurance application process of the above-mentioned initial insurance application form is abnormal, a message for transferring to a human operator corresponding to the above-mentioned initial insurance application form will be automatically generated. Among them, the message for transferring to a human operator may include abnormal information, basic information of the applicant, and relevant insurance application form information.

[0122] Determine a preset abnormal handling personnel.

[0123] In this embodiment, the above-mentioned abnormal handling personnel may refer to the business personnel or customer service personnel corresponding to the above-mentioned applicant.

[0124] Obtain the abnormal handling record corresponding to the historical abnormal insurance application form.

[0125] In this embodiment, the above-mentioned historical abnormal insurance application forms may refer to historical insurance application forms that have experienced abnormal insurance application processes during a historical time period, and the above-mentioned abnormal handling records refer to the recorded information on the repair of such historical insurance application forms for abnormal situations.

[0126] Send the transfer-to-human message and the abnormal handling record to the abnormal handling personnel.

[0127] In this embodiment, by sending the above-mentioned transfer-to-human message and abnormal handling record to the above-mentioned abnormal handling personnel, after receiving the transfer-to-human message and abnormal handling record, the abnormal handling personnel can perform repair processing on the above-mentioned initial insurance application form according to the transfer-to-human message and abnormal handling record, such as correcting information, recalculating premiums, etc., to ensure the normal operation of the insurance application process of the insurance application form.

[0128] If this application detects that the final status information is abnormal, it generates a transfer-to-human message corresponding to the initial insurance application form; then determines the preset abnormal handling personnel; then obtains the abnormal handling record corresponding to the historical abnormal insurance application form; subsequently sends the transfer-to-human message and the abnormal handling record to the abnormal handling personnel. When this application detects that the final status information is abnormal, it will automatically and intelligently generate a transfer-to-human message corresponding to the initial insurance application form, obtain the abnormal handling record corresponding to the historical abnormal insurance application form, and then send the transfer-to-human message and the abnormal handling record to the abnormal handling personnel, so that after receiving the transfer-to-human message and the abnormal handling record, the normal handling personnel can perform repair processing on the above-mentioned initial insurance application form according to the transfer-to-human message and the abnormal handling record, which is conducive to ensuring the normal operation of the insurance application process.

[0129] In some alternative implementation manners, the obtained user information has solicited the user's consent and complies with the provisions of relevant laws and relevant policies.

[0130] In addition, the non-company software tools or components appearing in the embodiments of this application are only for illustrative introduction and do not represent actual use.

[0131] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution is prior or posterior. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0132] It should be emphasized that to further ensure the privacy and security of the above-mentioned insurance application form, the above-mentioned insurance application form can also be stored in a node of a blockchain.

[0133] The blockchain referred to in this application is a new application mode of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, and encryption algorithms. A blockchain, essentially a decentralized database, is a string of data blocks generated by using cryptographic methods. Each data block contains information about a batch of network transactions, which is used to verify the validity of the information (anti-counterfeiting) and generate the next block. The blockchain can include the blockchain underlying platform, the platform product service layer, and the application service layer, etc.

[0134] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Among them, Artificial Intelligence (AI) is to use a digital computer or a machine controlled by a digital computer to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use the knowledge to obtain the best results of theory, method, technology, and application system.

[0135] Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, and mechatronics. Artificial intelligence software technologies mainly include several major directions such as computer vision technology, robotics, biometric technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0136] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through computer-readable instructions. The computer-readable instructions can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, the aforementioned storage medium can be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM), etc.

[0137] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings can include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

[0138] Further referenceFigure 3 , as an implementation of the method described above Figure 2 , this application provides an embodiment of an information processing device. This device embodiment corresponds to Figure 2 the method embodiment shown, and this device can be specifically applied to various electronic devices.

[0139] As Figure 3 shown, the information processing device 300 described in this embodiment includes: a first recognition module 301, a second recognition module 302, a receiving module 303, an extraction module 304, a generation module 305, a first processing module 306, a second processing module 307, and a third processing module 308. Among them:

[0140] The first recognition module 301 is configured to, if input information sent by a target person through a preset interface is received, perform text recognition on the input information to obtain corresponding text information;

[0141] The second recognition module 302 is configured to perform intention recognition on the text information to obtain a corresponding intention recognition result;

[0142] The receiving module 303 is configured to, if the intention recognition result is an order placement intention, send a follow-up question message to the target person and receive a certificate picture corresponding to the applicant returned by the target person;

[0143] The extraction module 304 is configured to extract information related to insurance application from the certificate picture to obtain corresponding key information;

[0144] The generation module 305 is configured to generate a quotation based on the key information and send a quotation confirmation link corresponding to the quotation to the target person;

[0145] The first processing module 306 is configured to, if a confirmation event corresponding to the quotation confirmation link is received, obtain insurance application parameter information corresponding to the applicant, and perform an insurance application process on the insurance application parameter information based on a preset insurance application interface to obtain a corresponding insurance application result;

[0146] The second processing module 307 is configured to, if the insurance application result is successful insurance application, obtain the generated insurance application form and generate a payment link corresponding to the insurance application form;

[0147] The third processing module 308 is configured to send the payment link to the applicant, and update the status of the insurance application form after receiving payment success information.

[0148] In this embodiment, the operations respectively performed by the above modules or units correspond one by one to the steps of the information processing method in the foregoing embodiment, and will not be elaborated herein.

[0149] In some alternative implementation manners of this embodiment, the first recognition module 301 includes:

[0150] A first acquisition sub-module, configured to acquire an information type corresponding to the input information;

[0151] A second acquisition sub-module, configured to acquire a text recognition strategy corresponding to the information type;

[0152] A first recognition sub-module, configured to perform text recognition on the input information based on the text extraction strategy to obtain a corresponding recognition result;

[0153] A first determination sub-module, configured to use the recognition result as the text information.

[0154] In this embodiment, the operations respectively performed by the foregoing modules or units correspond one by one to the steps of the information processing method in the foregoing embodiment, and will not be elaborated herein.

[0155] In some alternative implementation manners of this embodiment, the second recognition module 302 includes:

[0156] A preprocessing sub-module, configured to preprocess the text information to obtain corresponding target text information;

[0157] An extraction sub-module, configured to extract keywords from the target text information to obtain keywords related to insurance application;

[0158] A first calling sub-module, configured to call a preset intention recognition model;

[0159] A second recognition sub-module, configured to perform intention recognition processing on the keywords based on the intention recognition model to obtain a probability distribution of corresponding multiple intentions;

[0160] A screening sub-module, configured to screen out a target intention with the highest probability from all the intentions;

[0161] A second determination sub-module, configured to use the target intention as the intention recognition result.

[0162] In this embodiment, the operations respectively performed by the foregoing modules or units correspond one by one to the steps of the information processing method in the foregoing embodiment, and will not be elaborated herein.

[0163] In some alternative implementation manners of this embodiment, the generation module 305 includes:

[0164] A third acquisition sub-module, configured to acquire salesman performance attribution information, package configuration information, and institution information corresponding to the applicant;

[0165] An integration sub-module, configured to perform integration processing on the key information, the salesperson performance attribution information, the package configuration information, and the institutional information to obtain corresponding integrated information;

[0166] A second calling sub-module, configured to call a preset quotation interface;

[0167] A first generating sub-module, configured to perform quotation form generation processing on the integrated information based on the quotation interface to obtain the corresponding quotation form.

[0168] In this embodiment, the operations respectively performed by the above modules or units correspond one by one to the steps of the information processing method in the foregoing embodiment, and will not be elaborated herein.

[0169] In some optional implementation manners of this embodiment, the generating sub-module includes:

[0170] A calculation unit, configured to perform calculation processing on the integrated information based on the quotation interface using a preset premium calculation rule to obtain a corresponding premium amount;

[0171] An obtaining unit, configured to obtain preferential information corresponding to the package configuration information;

[0172] An assembling unit, configured to perform quotation form assembling processing on the integrated information, the premium amount, and the preferential information to obtain a corresponding first quotation form;

[0173] A processing unit, configured to perform data formatting processing on the first quotation form to obtain a corresponding second quotation form;

[0174] A determining unit, configured to use the second quotation form as the quotation form.

[0175] In this embodiment, the operations respectively performed by the above modules or units correspond one by one to the steps of the information processing method in the foregoing embodiment, and will not be elaborated herein.

[0176] In some optional implementation manners of this embodiment, the first processing module 306 includes:

[0177] A third calling sub-module, configured to call an insurance service corresponding to the insurance interface;

[0178] A transmitting sub-module, configured to transmit the insurance parameter information to the insurance service;

[0179] A second generating sub-module, configured to generate an initial insurance policy corresponding to the insurance parameter information based on the insurance service;

[0180] A verification sub-module, configured to verify the initial insurance policy based on a preset verification strategy;

[0181] A processing sub-module, configured to, if the initial insurance application form passes the verification, perform insurance processing on the initial insurance application form based on a preset insurance process processing strategy, and obtain the final status information of the insurance process of the initial insurance application form;

[0182] A third generation sub-module, configured to generate an insurance successful result if the final status information is successfully completed.

[0183] In this embodiment, the operations respectively performed by the above modules or units correspond one by one to the steps of the information processing method in the foregoing embodiment, and will not be elaborated herein.

[0184] In some optional implementation manners of this embodiment, the first processing module 306 further includes:

[0185] A fourth generation sub-module, configured to generate a transfer-to-human message corresponding to the initial insurance application form if the final status information is abnormal;

[0186] A third determination sub-module, configured to determine a preset abnormal handling personnel;

[0187] A fourth acquisition sub-module, configured to acquire an abnormal handling record corresponding to a historical abnormal insurance application form;

[0188] A sending sub-module, configured to send the transfer-to-human message and the abnormal handling record to the abnormal handling personnel.

[0189] In this embodiment, the operations respectively performed by the above modules or units correspond one by one to the steps of the information processing method in the foregoing embodiment, and will not be elaborated herein.

[0190] To solve the above technical problems, an embodiment of the present application further provides a computer device. Specifically, please refer to Figure 4 , Figure 4 which is the basic structural block diagram of the computer device in this embodiment.

[0191] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are communicatively connected to each other via a system bus. It should be noted that only the computer device 4 with components 41-43 is shown in the figure, but it should be understood that it is not required to implement all the shown components, and more or fewer components can be implemented alternatively. Among them, those skilled in the art of the present technology can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0192] The computer device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The computer device can perform human-computer interaction with the user through a keyboard, a mouse, a remote control, a touchpad, or a voice control device, etc.

[0193] The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 41 can be an internal storage unit of the computer device 4, such as the hard disk or memory of the computer device 4. In other embodiments, the memory 41 can also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 4. Of course, the memory 41 can also include both the internal storage unit and the external storage device of the computer device 4. In this embodiment, the memory 41 is generally used to store the operating system and various application software installed on the computer device 4, such as computer-readable instructions of the information processing method. In addition, the memory 41 can also be used to temporarily store various data that have been output or will be output.

[0194] In some embodiments, the processor 42 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run the computer-readable instructions stored in the memory 41 or process data, such as running the computer-readable instructions of the information processing method.

[0195] The network interface 43 may include a wireless network interface or a wired network interface. The network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

[0196] Compared with the prior art, the embodiments of the present application mainly have the following beneficial effects:

[0197] In the embodiments of the present application, if the present application receives the input information sent by the target person through the preset interface, first perform text recognition on the input information to obtain the corresponding text information; then perform intent recognition on the text information to obtain the corresponding intent recognition result; if the intent recognition result is an order placement intent, then send a follow-up information to the target person and receive the certificate picture corresponding to the applicant returned by the target person; then extract the information related to insurance application from the certificate picture to obtain the corresponding key information; subsequently generate a quotation based on the key information, and send the quotation confirmation link corresponding to the quotation to the target person; if a confirmation event corresponding to the quotation confirmation link is received, then obtain the insurance application parameter information corresponding to the applicant, and perform insurance application processing on the insurance application parameter information based on the preset insurance application interface to obtain the corresponding insurance application result; if the insurance application result is a successful insurance application, then obtain the generated insurance application form, and generate a payment link corresponding to the insurance application form; finally, send the payment link to the applicant, and after receiving the payment success information, update the status of the insurance application form. In this way, by adopting the above information processing method, the present application can realize the automation and intelligence of the order placement process, effectively improving the order placement efficiency and accuracy.

[0198] The present application also provides another implementation manner, that is, to provide a computer-readable storage medium storing computer-readable instructions, the computer-readable instructions can be executed by at least one processor, so that the at least one processor executes the steps of the information processing method as described above.

[0199] Compared with the prior art, the embodiments of the present application mainly have the following beneficial effects:

[0200] In the embodiments of the present application, if the present application receives input information sent by a target person through a preset interface, it first performs text recognition on the input information to obtain corresponding text information; then performs intent recognition on the text information to obtain a corresponding intent recognition result; if the intent recognition result is an order placement intent, it sends a follow-up message to the target person and receives a certificate picture corresponding to the applicant returned by the target person; then extracts information related to insurance application from the certificate picture to obtain corresponding key information; subsequently generates a quotation based on the key information, and sends a quotation confirmation link corresponding to the quotation to the target person; if a confirmation event corresponding to the quotation confirmation link is received, it obtains insurance application parameter information corresponding to the applicant, and performs insurance application processing on the insurance application parameter information based on a preset insurance application interface to obtain a corresponding insurance application result; if the insurance application result is a successful insurance application, it obtains the generated insurance application form and generates a payment link corresponding to the insurance application form; finally sends the payment link to the applicant, and updates the status of the insurance application form after receiving payment success information. Thus, by adopting the above information processing method, the present application can automatically and intelligently complete the order placement process, effectively improving the order placement efficiency and accuracy.

[0201] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc), and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0202] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The drawings show preferred embodiments of the present application, but do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosed content of the present application more thorough and comprehensive. Although the present application has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions described in the foregoing specific embodiments, or perform equivalent replacements on some of the technical features. Any equivalent structure directly or indirectly using the content of the specification and drawings of the present application in other related technical fields is equally within the scope of the patent protection of the present application.

Claims

1. An information processing method, characterized in that: The steps include: If input information sent by the target person through a preset interface is received, text recognition is performed on the input information to obtain corresponding text information; Performing intent recognition on the text information to obtain a corresponding intent recognition result; If the intention recognition result is an intention to issue a policy, a follow-up message is sent to the target person, and a certificate image corresponding to the policyholder is received from the target person; Extracting insurance-related information from the certificate image to obtain corresponding key information; Generate a quotation based on the key information, and send a quotation confirmation link corresponding to the quotation to the target person; If a confirmation event corresponding to the quotation confirmation link is received, the insurance parameter information corresponding to the insured is obtained, and the insurance parameter information is processed based on a preset insurance interface to obtain a corresponding insurance result; If the insurance result is successful, the generated insurance application form is obtained, and a payment link corresponding to the insurance application form is generated; The payment link is sent to the insured, and after receiving the payment success information, the status of the insurance application is updated.

2. The information processing method according to claim 1, characterized in that: The step of performing text recognition on the input information to obtain corresponding text information specifically includes: Acquire the information type corresponding to the input information; Obtaining a text recognition strategy corresponding to the information type; Performing text recognition on the input information based on the text extraction strategy to obtain a corresponding recognition result; The recognition result is used as the text information.

3. The information processing method according to claim 1, characterized in that: The step of performing intent recognition on the text information to obtain a corresponding intent recognition result specifically includes: Preprocessing the text information to obtain corresponding target text information; Extracting keywords from the target text information to obtain keywords related to insurance; Call the preset intent recognition model; Performing intent recognition processing on the keyword based on the intent recognition model to obtain probability distribution of corresponding multiple intents; Filter out the target intent with the highest probability from all the intents; The target intention is taken as the intention recognition result.

4. The information processing method according to claim 1, characterized in that: The step of generating a quotation based on the key information specifically includes: Obtaining the salesperson's performance attribution information, package configuration information, and institution information corresponding to the policyholder; Integrate the key information, the salesperson's performance attribution information, the package configuration information, and the organization information to obtain corresponding integrated information; Call the preset quotation interface; The integrated information is processed for generating a quotation based on the quotation interface to obtain the corresponding quotation.

5. The information processing method according to claim 4, characterized in that: The step of generating a quotation sheet for the integrated information based on the quotation interface to obtain the corresponding quotation sheet specifically includes: Based on the quotation interface, the integrated information is calculated using a preset premium calculation rule to obtain a corresponding premium amount; Obtaining preferential information corresponding to the package configuration information; Perform quotation assembly processing based on the integrated information, the premium amount, and the preferential information to obtain a corresponding first quotation; Performing data formatting processing on the first quotation to obtain a corresponding second quotation; The second quotation is used as the quotation.

6. The information processing method according to claim 1, characterized in that: The step of performing insurance processing on the insurance parameter information based on the preset insurance interface to obtain the corresponding insurance result specifically includes: Calling the insurance service corresponding to the insurance interface; Passing the insurance parameter information to the insurance service; Generate an initial insurance application form corresponding to the insurance parameter information based on the insurance service; Verifying the initial insurance application based on a preset verification strategy; If the initial insurance application passes the verification, the initial insurance application is processed based on a preset insurance process processing strategy, and the final status information of the insurance process of the initial insurance application is obtained; If the final status information is successful completion, a successful insurance result is generated.

7. The information processing method according to claim 6, characterized in that: After the step of obtaining the final status information of the insurance application process of the initial insurance application, the method further includes: If the final status information indicates that an abnormality has occurred, a manual transfer message corresponding to the initial insurance application is generated; Determine the preset exception handling personnel; Obtain the exception handling records corresponding to the historical abnormal insurance policies; The transfer-to-manual message and the exception handling record are sent to the exception handling personnel.

8. An information processing device, characterized in that: include: A first recognition module is used to, upon receiving input information sent by a target person through a preset interface, perform text recognition on the input information to obtain corresponding text information; A second recognition module is used to perform intent recognition on the text information to obtain a corresponding intent recognition result; A receiving module, for sending a follow-up message to the target person if the intention recognition result is an intention to issue a policy, and receiving a certificate image corresponding to the policyholder returned by the target person; An extraction module, used to extract information related to insurance from the certificate image to obtain corresponding key information; A generating module, configured to generate a quotation based on the key information, and send a quotation confirmation link corresponding to the quotation to the target person; A first processing module is used for obtaining insurance parameter information corresponding to the insured if a confirmation event corresponding to the quotation confirmation link is received, and performing insurance processing on the insurance parameter information based on a preset insurance interface to obtain a corresponding insurance result; The second processing module is used to obtain the generated insurance application form if the insurance result is successful, and generate a payment link corresponding to the insurance application form; The third processing module is used to send the payment link to the insured and update the status of the insurance application after receiving the payment success information.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores computer-readable instructions, and the processor implements the steps of the information processing method according to any one of claims 1 to 7 when executing the computer-readable instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by a processor, the steps of the information processing method according to any one of claims 1 to 7 are implemented.

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