CN117151837A - Client risk query method, intelligent terminal and storage medium - Google Patents
Client risk query method, intelligent terminal and storage medium Download PDFInfo
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- G—PHYSICS
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/2453—Query optimisation
- G06F16/24532—Query optimisation of parallel queries
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Abstract
The application provides a client risk query method, an intelligent terminal and a storage medium, wherein the client risk query method comprises the following steps: s101: determining that the input of the client information is completed, and initiating a risk inquiry task of the client information in parallel; s102: and summarizing the risk information through the risk query task. According to the method and the system for risk assessment, after the completion of the input of the customer information is detected, a plurality of risk inquiry tasks are automatically initiated in parallel, the risk information obtained by different risk inquiry tasks is obtained and summarized, the speed of risk inquiry is improved in a parallel processing mode, the time consumption is short, the efficiency is high, the risk assessment can be conveniently and rapidly completed when the business is transacted, the waiting time of a customer is reduced, and the customer experience is improved.
Description
Technical Field
The application relates to the technical field of financial science and technology, in particular to a client risk query method, an intelligent terminal and a storage medium.
Background
The final object of bank risk management is a customer, so accurately identifying the risk status of the customer is an important underlying content of bank risk management. To ensure that effective risk management can be achieved, banks need to query multiple information bases for risk information from different sources through different channel customers' risk information.
At present, risk information is queried by adopting a mode that auditors initiate risk query tasks in sequence to complete one risk query task and then execute the next risk query task until all tasks are completed to obtain a risk query result. The risk inquiry mode is low in speed, low in efficiency and long in time consumption, so that waiting time of a client is greatly prolonged, and client experience is affected.
Disclosure of Invention
In order to overcome the defects of the prior art, the application provides the client risk query method, the intelligent terminal and the storage medium, after the completion of the input of the client information is detected, a plurality of risk query tasks are automatically initiated in parallel, the risk information obtained by different risk query tasks is obtained and summarized, the speed of risk query is improved in a parallel processing mode, the time consumption is short, the efficiency is high, the risk assessment can be conveniently and rapidly completed when the business is transacted, the waiting time of the client is reduced, and the client experience is improved.
In order to solve the problems, the application adopts a technical scheme that: a customer risk query method, the customer risk query method comprising: s101: determining that the input of the client information is completed, and initiating a risk inquiry task of the client information in parallel; s102: and summarizing the risk information through the risk query task.
Further, before the step of determining that the customer information input is completed, the method further comprises: and selecting an information input mode according to the current service scene and the input instruction, and executing the customer information input operation through the information input mode.
Further, the step of determining that the customer information input is completed specifically includes: detecting whether a task of the input node is completed; if yes, determining that the customer information input is completed; if not, determining that the customer information is not input.
Further, the step of initiating the risk query task of the client information in parallel specifically includes: acquiring risk inquiry tasks corresponding to the client information, determining an inquiry mode of each risk inquiry task according to inquiry time of the risk inquiry task, and sending inquiry requests to inquiry objects corresponding to the risk inquiry tasks in parallel through the inquiry mode.
Further, the step of determining the query mode of each risk query task according to the query time of the risk query task specifically includes: judging whether the query time of the risk query task is greater than a preset value; if yes, carrying out risk information inquiry by using a real-time inquiry interface corresponding to the risk inquiry task; if not, acquiring risk information corresponding to the risk query task through an asynchronous query interface.
Further, the step of concurrently initiating the risk query task of the customer information further includes: and integrating the risk inquiry tasks with the same inquiry object according to the inquiry mode, and generating an inquiry request sent to the inquiry object through the integrated risk inquiry task.
Further, the step of summarizing risk information through the risk query task specifically includes: and acquiring a feedback query result, and summarizing and displaying risk information in the query result.
Further, after the step of summarizing the risk information by the risk query task, the method further includes: judging whether to carry out risk approval or not according to the summarized result; if yes, executing risk approval operation and obtaining approval results; if not, determining that no hit risk exists, and allowing the query to pass.
Based on the same inventive concept, the application further provides an intelligent terminal, which comprises a processor and a memory, wherein the processor is in communication connection with the memory, the memory stores a computer program, and the processor executes the client risk query method through the computer program.
Based on the same inventive concept, the present application also proposes a computer-readable storage medium storing program data for executing the client risk query method as described above.
Compared with the prior art, the application has the beneficial effects that: after the completion of the input of the customer information is detected, a plurality of risk inquiry tasks are automatically initiated in parallel, the risk information obtained by different risk inquiry tasks is obtained and summarized, the speed of risk inquiry is improved in a parallel processing mode, the time consumption is short, the efficiency is high, the risk assessment can be conveniently and rapidly completed when the business is transacted, the waiting time of a customer is reduced, and the customer experience is improved.
Drawings
FIG. 1 is a flow chart of a method for customer risk query according to an embodiment of the present application;
FIG. 2 is a flow chart of another embodiment of a client risk query method of the present application;
FIG. 3 is a block diagram of an embodiment of an intelligent terminal of the present application;
fig. 4 is a block diagram of an embodiment of a computer-readable storage medium of the present application.
Detailed Description
Other advantages and effects of the present application will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present application with reference to specific examples. The application may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present application. It is noted that the various embodiments of the present disclosure, which are generally described and illustrated in the figures herein, may be combined with one another without conflict, wherein structural components or functional modules may be arranged and designed in a variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the disclosure, as claimed, but is merely representative of selected embodiments of the disclosure. Based on the embodiments in this disclosure, all other embodiments that a person of ordinary skill in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
Referring to fig. 1 and 2, fig. 1 is a flowchart of an embodiment of a client risk query method according to the present application; FIG. 2 is a flowchart of another embodiment of a client risk query method of the present application. The client risk query method of the present application will be described in detail with reference to fig. 1 and 2.
The equipment for executing the client risk query method can be a computer, a counter, a server and other intelligent terminals capable of acquiring client information and carrying out risk query according to the client information. In the conventional risk query operation of clients, after the intelligent terminal collects client data, risk information of the clients is not automatically checked, but an auditor waits for a command to be issued in sequence, and then risk query operation is performed on each risk information. The manually issued instruction may be a button on the page, taking into account the I/O time generated by the human-machine interaction, the response time of the system interaction, requiring about 5 seconds for each risk check scenario. For people and businesses to inquire about risk inquiry operations which need to be operated by an RPA machine, the time required for the page is longer and reaches more than 20 seconds, the treatment time is extremely low, the clients need to wait for a long time, and the operation efficiency of enterprise resources is not met. The application aims at the pain point, the whole public client risk investigation process is carded, the program firstly records the public client information through OCR or manually according to the transaction scene before auditing personnel check the risk information, the system has automatic flow management, after detecting that the task of the recording node is finished, the system automatically sends out instructions, performs parallel inquiry and gathers the risk information of the client according to the inquiry result.
Specifically, the client risk query method executed by the intelligent terminal includes:
s101: and determining that the input of the client information is completed, and initiating the risk inquiry task of the client information in parallel.
In this embodiment, the step of determining that the customer information input is completed further includes: and selecting an information input mode according to the current service scene and the input instruction, and executing the customer information input operation through the information input mode. The intelligent terminal can also select an information input mode according to the type of the current service scene and display the information input mode to staff or clients.
In this embodiment, the information input modes include OCR input, manual input, internet input, voice input, external storage input, local storage input, and other information input modes. The intelligent terminal can display various information input modes, and select corresponding information input modes according to the input instruction to input customer information.
In a specific embodiment, the business scene is a transaction scene, the client is a public client, and the intelligent terminal inputs the client information of the public client in an OCR (optical character recognition) or manual input mode according to the transaction scene.
The step of determining that the customer information input is completed specifically comprises: detecting whether a task of the input node is completed; if yes, determining that the customer information input is completed; if not, determining that the customer information is not input.
The intelligent terminal detects the state of a service node of the intelligent terminal in real time through a preset automatic flow management function, and judges whether the task of inputting the node is completed or not according to the state. And after the task is determined to be completed, automatically sending out a risk query task related to the client information.
In other embodiments, the intelligent terminal may further determine, when customer information is entered, whether risk query is required in the current service scenario, if yes, risk query is performed, and if no, risk query is not performed.
In this embodiment, the risk query task includes at least one of enterprise networking query, personal networking query, blacklist search, middle-aged intelligent summary query, pedestrian business query, and enterprise bank settlement account record query. And the intelligent terminal can also pre-store risk inquiry tasks corresponding to different types of service scenes or client information, and initiate the risk inquiry tasks according to the service scenes or the client information after determining that the client information is input.
In a specific embodiment, the enterprise bank settlement account record query is an enterprise bank settlement account record query of Guangdong province, the intelligent terminal inputs public customer information through OCR (optical character recognition) input or manual input according to a business scene, detects information and states of all nodes through automatic flow management, automatically sends out an instruction after the completion of the task of inputting the nodes is detected, and executes parallel query of risk query tasks. In this embodiment, the query modes required by different risk query tasks are different, and the query operation is executed or the query request is initiated according to the query mode corresponding to the risk query task.
The step of determining the query mode of each risk query task according to the query time of the risk query task specifically includes: judging whether the query time of the risk query task is greater than a preset value; if yes, carrying out risk information inquiry by using a real-time inquiry interface corresponding to the risk inquiry task; if not, acquiring risk information corresponding to the risk query task through the asynchronous query interface.
In a specific embodiment, the enterprise networking query, the personal networking query and the medium data intelligent query have high query speed, so that the original real-time query interface can be reserved, and the real-time query interface is utilized for carrying out risk query operation. The inquiry of the personnel business and the inquiry of the bank settlement account of the Guangdong province enterprise are carried out by the RPA robot, the original real-time waiting interface is changed into an asynchronous inquiry interface, the inquiry request is sent to the RPA robot according to the account opening approval number or the customer account number, the inquiry result is acquired by the RPA robot after waiting for a certain time, the intelligent terminal does not need to wait all the time, and other business operations can be arranged.
In this embodiment, the step of initiating the risk query task of the client information in parallel further includes: and integrating the risk inquiry tasks with the same inquiry object according to the inquiry mode, and generating an inquiry request sent to the inquiry object through the integrated risk inquiry task.
S102: and summarizing the risk information through the risk query task.
In this embodiment, the step of summarizing risk information through the risk query task specifically includes: and acquiring a feedback query result, and summarizing and displaying risk information in the query result. After all risk inquiry tasks are completed, the intelligent terminal gathers and displays all risk information. In other embodiments, the intelligent terminal may also display the risk information acquired through the risk query task in real time, and perform sorting display according to the acquisition time, the grade, the type and other classifications of the risk information.
Through the parallel risk task inquiry and risk information summarization mode, auditors can acquire all client risk information only by giving an inquiry command to the intelligent terminal once, and waste time is greatly reduced.
The step of summarizing the risk information by the risk query task further comprises: judging whether to carry out risk approval or not according to the summarized result; if yes, executing risk approval operation and obtaining approval results; if not, determining that no hit risk exists, and allowing the query to pass. The risk approval operation comprises automatic approval and manual approval, and whether the risk is hit or not is judged by utilizing the automatic approval. Because the results (risk information) of customer risk management and control are all queried, only if a risk rule is hit, the auditor is prompted to examine and approve, the auditor can process slight risk items, the whole process has no query waiting time in sense, and the auditing efficiency is greatly improved.
In this embodiment, the total risk information of the clients is summarized through a risk information summarizing manner, and after the risk information is acquired, the intelligent terminal automatically performs risk approval to determine whether the risk is hit, and after determining the hit risk, the risk information is sent to an auditor to prompt for manual approval. And obtaining a risk checking result according to the automatic approval and the manual approval.
The beneficial effects are that: according to the client risk query method, after the completion of the input of the client information is detected, a plurality of risk query tasks are automatically initiated in parallel, the risk information obtained by different risk query tasks is obtained and summarized, the risk query speed is improved in a parallel processing mode, the time consumption is short, the efficiency is high, the risk assessment can be conveniently and quickly completed when the business is transacted, the waiting time of the client is reduced, and the client experience is improved.
Based on the same inventive concept, the present application further provides an intelligent terminal, referring to fig. 3, fig. 3 is a block diagram of an embodiment of the intelligent terminal of the present application, and the intelligent terminal of the present application is described with reference to fig. 3.
In this embodiment, the intelligent terminal includes a processor, and a memory, where the processor is communicatively connected to the memory, and the memory stores a computer program, and the processor executes the client risk query method according to the foregoing embodiment through the computer program.
It should be further noted that the ProceSsor may be a central processing unit (Central ProceSsing Unit, CPU), but may also be other general purpose processors, digital Signal Processors (DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being a control center of the computer device, and the various interfaces and lines connecting the various parts of the overall computer device.
The memory module may be used to store computer programs and/or modules, and the processor may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory module, and invoking data stored in the memory module. The memory module may mainly include a memory program area and a memory data area, wherein the memory program area may store an operating system, store program instructions for implementing the methods in the above embodiments, and the like. The storage data area may store data processed by program instructions of the method in the above-described embodiment.
Based on the same inventive concept, the present application also provides a computer readable storage medium, please refer to fig. 4, fig. 4 is a block diagram of an embodiment of the computer readable storage medium of the present application, and the computer readable storage medium of the present application is described with reference to fig. 4.
In this embodiment, a computer-readable storage medium stores program data that is used to execute the client risk query method as described in the above embodiment.
Wherein the computer-readable storage medium may include, but is not limited to, floppy diskettes, optical disks, CD-ROMs (compact disk-read only memory modules), magneto-optical disks, ROMs (read only memory modules), RAMs (random access memory modules), EPROMs (erasable programmable read only memory modules), EEPROMs (electrically erasable programmable read only memory modules), magnetic or optical cards, flash memory, or other type of media/machine-readable medium suitable for storing machine-executable instructions. The computer readable storage medium may be a product that is not accessed to the intelligent terminal or may be a component that is accessed for use by the intelligent terminal.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A customer risk query method, the customer risk query method comprising:
s101: determining that the input of the client information is completed, and initiating a risk inquiry task of the client information in parallel;
s102: and summarizing the risk information through the risk query task.
2. The customer risk query method of claim 1, wherein the step of determining that customer information entry is complete further comprises, prior to:
and selecting an information input mode according to the current service scene and the input instruction, and executing the customer information input operation through the information input mode.
3. The customer risk query method as claimed in claim 1, wherein said step of determining completion of customer information entry comprises:
detecting whether a task of the input node is completed;
if yes, determining that the customer information input is completed;
if not, determining that the customer information is not input.
4. The client risk query method of claim 1, wherein the step of concurrently initiating the risk query task of the client information specifically comprises:
acquiring risk inquiry tasks corresponding to the client information, determining an inquiry mode of each risk inquiry task according to inquiry time of the risk inquiry task, and sending inquiry requests to inquiry objects corresponding to the risk inquiry tasks in parallel through the inquiry mode.
5. The method for querying risk of clients as claimed in claim 4, wherein the step of determining the querying manner of each risk query task according to the querying time of the risk query task specifically comprises:
judging whether the query time of the risk query task is greater than a preset value;
if yes, carrying out risk information inquiry by using a real-time inquiry interface corresponding to the risk inquiry task;
if not, acquiring risk information corresponding to the risk query task through an asynchronous query interface.
6. The customer risk query method of claim 1, wherein the step of concurrently initiating the risk query task of the customer information further comprises:
and integrating the risk inquiry tasks with the same inquiry object according to the inquiry mode, and generating an inquiry request sent to the inquiry object through the integrated risk inquiry task.
7. The client risk query method of claim 1, wherein the step of summarizing risk information by a risk query task specifically comprises:
and acquiring a feedback query result, and summarizing and displaying risk information in the query result.
8. The customer risk query method of claim 1, wherein the step of aggregating risk information by a risk query task further comprises, after:
judging whether to carry out risk approval or not according to the summarized result;
if yes, executing risk approval operation and obtaining approval results;
if not, determining that no hit risk exists, and allowing the query to pass.
9. An intelligent terminal, characterized in that the intelligent terminal comprises a processor and a memory, the processor is in communication connection with the memory, the memory stores a computer program, and the processor executes the client risk query method according to any one of claims 1-8 through the computer program.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores program data for performing the client risk query method of any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310115764.4A CN117151837A (en) | 2023-02-13 | 2023-02-13 | Client risk query method, intelligent terminal and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310115764.4A CN117151837A (en) | 2023-02-13 | 2023-02-13 | Client risk query method, intelligent terminal and storage medium |
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| CN117151837A true CN117151837A (en) | 2023-12-01 |
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| CN202310115764.4A Pending CN117151837A (en) | 2023-02-13 | 2023-02-13 | Client risk query method, intelligent terminal and storage medium |
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