Order information auditing assistance method and device and electronic equipment

Abstract

The application relates to the technical field of business auditing, and provides an order material auditing auxiliary method and device and electronic equipment. The method of the application integrates order business types and data characteristics and adaptively matches an auditing rule set. When an auditing operation is started, the method intelligently deconstructs materials, accurately extracts and locks core auditing points, dynamically generates structured guiding auditing data with clear structure and clear direction, realizes the change from passive response type, artificial experience driven auditing to active guiding type, rule and data double driven auditing, significantly reduces the dependence of artificial experience and search cost on auditing efficiency, enables auditing personnel to focus on high value decision-making links based on guiding data, optimizes the working experience of auditing personnel, improves the smoothness, standardization degree and system automation level of business auditing, realizes the overall long-term empowerment of business auditing quality from the process level, and further improves the intelligent level and operation efficiency of business auditing.

Description

Technical Field

[0001] This application relates to the field of business review technology, and in particular to an auxiliary method, apparatus and electronic device for order data review. Background Technology

[0002] In related technologies, during the process of a customer conducting business, the company's auditors need to verify the various documents submitted by the customer in order to determine the customer's business qualifications.

[0003] However, a business transaction involves a large amount of data. When reviewing each document, the auditor needs to rely on their memory to verify each item. This not only makes the process inconvenient but also makes it easy to miss some items, requiring repeated verification and resulting in poor overall audit efficiency. Summary of the Invention

[0004] In view of this, this application aims to propose an auxiliary method for order data review in order to improve review efficiency.

[0005] To achieve the above objectives, the technical solution of this application is implemented as follows: A method for assisting in order data verification includes: Determine the order's business type and order data; Based on the order business type, determine the audit rule set corresponding to the order from the preset audit rule set; When an auditor needs to review the materials associated with the order, the key points of the review are determined based on the review rule set and the order data. Based on the audit criteria, generate and output audit guidance data to prompt the auditor.

[0006] Furthermore, the audit rule set includes the various documents required for auditing orders of the order business type, the audit points corresponding to each document, and the triggering conditions corresponding to each audit point. Wherein, when the auditor needs to review the materials associated with the order, determining the review points corresponding to the materials based on the review rule set and the order data includes: According to the set of review rules, the data to be reviewed is selected from the data associated with the order, wherein the data to be reviewed is the data that needs to be reviewed for the current order. Determine the key audit points corresponding to the materials to be audited; Based on the order data, identify whether the order meets the triggering conditions of each of the aforementioned review criteria; Each audit point that meets the triggering condition is determined as the audit point corresponding to the document to be audited.

[0007] Furthermore, the step of generating and outputting review guidance data for prompting the reviewer based on the review points includes: Based on the review points corresponding to each of the documents to be reviewed, review guidance data corresponding to each of the documents to be reviewed is generated respectively; When the auditor is detected reviewing the document to be reviewed, the corresponding review guidance data for the document to be reviewed is output.

[0008] Furthermore, the step of generating review guidance data corresponding to each of the documents to be reviewed based on the review points corresponding to each document to be reviewed includes: Determine the priority of each of the audit points corresponding to the materials to be audited; The review points are sorted in descending order of priority, and review guidance data that conforms to the sorted order is generated based on the sorted review points.

[0009] Furthermore, the audit rule set also includes preset prompts for key audit points; The process further includes, after generating and outputting audit guidance data to prompt the auditor based on the audit points: Based on the set of review rules, determine the key review points and their corresponding preset prompts for each document to be reviewed; Based on each of the key review points and their corresponding preset prompts, generate risk warning information corresponding to each of the key review points; If the auditor is detected reviewing the key audit points, the risk warning information corresponding to the key audit points will be output.

[0010] Furthermore, the audit guidance data is an audit list that includes each audit point and the audit status of each audit point; Following the output of the audit guidance data used to prompt the auditor, the following is also included: When it is detected that the auditor has completed the review of an audit point, the audit status of the audit point in the audit list is updated from incomplete to completed, the updated audit guidance data is obtained, and the updated audit guidance data is output.

[0011] Furthermore, the process of generating the preset review rule set includes: Identify the order business type selected by the business personnel in each preset order business type atomic item; Identify the business personnel's choice of the order business type and the data type selected from the preset data type atomic items to obtain the data rule configuration corresponding to the order business type. The data rule configuration is used to represent the correspondence between the order business type and the data to be reviewed. Identify the audit points selected by the business personnel for each of the aforementioned data types from various preset audit point atomic items, and obtain the audit point rule configuration, wherein the audit point rule configuration represents the correspondence between each of the aforementioned data and the audit points contained therein; The triggering conditions set by the business personnel for each review point are read to obtain the triggering rule configuration, which represents the correspondence between each review point and its corresponding triggering condition; Based on the data rule configuration, the key point rule configuration, and the trigger rule configuration, a preset audit rule set corresponding to the selected order business type is generated.

[0012] Furthermore, the order data verification auxiliary method also includes: The audit results of the auditors reviewing each audit point are monitored. Upon detecting that the auditor has triggered an order review completion instruction, the order, the materials, the review rule set, the order data, the review points corresponding to the materials, the review guidance data, and the review results of each review point are bound and stored.

[0013] Compared with related technologies, this application has at least the following advantages: (1) The order data review assistance method described in this application integrates the order business type and order data when it is necessary to review the data associated with the order. Based on this, it adaptively matches the corresponding review rule set and analyzes the order data to determine the review points corresponding to the order data. Based on this, it generates structured and clearly directed structured guided review data (i.e., review guidance data). This allows the reviewer to directly view the review guidance data during the review process and to know the various review points required for the current data based on the review guidance data. This realizes the transformation from passive response and human experience-driven review to proactive guidance and rule and data-driven review. This significantly reduces the dependence of human experience and retrieval costs on review efficiency, reduces the omission of review points when reviewing data, and improves the review efficiency of the reviewer. In addition, it can also realize the overall long-term empowerment of business review quality from the process level, thereby improving the intelligence level and operational efficiency of business review.

[0014] (2) In this application, when determining the audit points of the documents associated with the current order, the various documents to be audited for the order are first determined according to the audit rule set to eliminate documents that do not need to be audited. Then, the audit points of the various documents to be audited configured in the audit rule set are determined, and it is determined whether to audit the corresponding audit points for the current order based on the triggering conditions of each audit point, so as to determine all the audit points that need to be audited in the various documents to be audited. This can filter out irrelevant documents and inapplicable audit points, avoid showing redundant verification items to the auditor, and simplify the audit task.

[0015] (3) When outputting audit guidance data, this application only outputs the audit guidance data corresponding to the audited materials currently being audited by the auditor, and does not output the audit guidance data of other audited materials, thereby avoiding interference from the audit guidance data of other audited materials and only presenting the audit guidance data of the current audited materials, thereby improving the convenience of the auditor's audit.

[0016] (4) When generating audit guidance data, this application sorts the audit points in the documents to be audited in descending order of priority and generates audit guidance data that conforms to this order. In this way, when the auditor reviews the documents to be audited, they can review the audit points in the order of each audit point, reduce the omission of audit points, and thus improve the convenience of the audit.

[0017] (5) During the review process, this application will also output risk warning information for key review points to remind the auditor to pay attention to high-risk review points, thereby improving the review convenience of the auditor and reducing the possibility of omissions in major risk items during the review.

[0018] (6) After the auditor completes the review of each audit point, the audit status of that audit point in the audit checklist will be updated to "completed". In this way, the auditor can clearly identify the audit points that have been completed and the audit points that are yet to be reviewed based on the audit status of each audit point in the audit checklist. This can help the auditor avoid repeated reviews due to forgetting the progress, especially when reviewing pending materials containing a large number of audit points, thereby improving the convenience of the auditor's review.

[0019] (7) In this application, when business personnel configure the preset audit rule set, they can select the order business type, the various documents required to be audited for the order business type, and the audit points corresponding to each document from the preset order business type atomic items, preset document type atomic items, and preset audit point atomic items. After the business personnel set the trigger conditions for the corresponding audit points, the preset audit rule set corresponding to the order business type is automatically generated. In this way, the atomic items are used without the need for the business personnel to create them manually, which can improve the configuration convenience of the preset audit rule set. Furthermore, when the audit standards change, the updated preset audit rule set can be quickly set and adjusted, which can also improve the flexibility of the audit rule set configuration.

[0020] (8) This application also binds and stores orders, materials, audit rule sets, order data, audit points corresponding to materials, audit guidance data, and audit results of various audit points. In this way, when conducting quality checks, reviews, and accountability retrospectives in the future, the complete audit file corresponding to the order can be retrieved at once based on the order identifier to fully restore the audit rules, order data, audit guidance data, and results of various audit points at that time, thereby facilitating subsequent retrospectives.

[0021] Another objective of this application is to provide an order data verification auxiliary device, comprising: The order confirmation module is used to determine the order business type and order data. The rule set determination module is used to determine the audit rule set corresponding to the order from a preset audit rule set based on the order business type; The key point determination module is used to determine the key points of auditing the materials associated with the order, based on the audit rule set and the order data, when the auditor needs to audit the materials associated with the order. The guidance generation module is used to generate and output review guidance data for prompting the reviewer based on the review points.

[0022] Another object of this application is to provide an electronic device comprising: Memory, used to store computer programs; A processor is used to execute the computer program stored in the memory to implement the above-described order data review assistance method.

[0023] The order data review auxiliary device and electronic device described in this application can automatically generate review guidance data when the reviewer reviews the data associated with the order, so as to facilitate the reviewer's review of each review point in the data, thereby improving the convenience of the reviewer's business review and improving the efficiency of the business review. Attached Figure Description

[0024] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings: Figure 1 This is a flowchart illustrating the order data review assistance method described in the embodiments of this application; Figure 2 This is a flowchart illustrating the process of generating a preset review rule set in the order data review assistance method described in this application embodiment; Figure 3 This is a flowchart illustrating the process of determining key points in the order data review assistance method described in this application embodiment; Figure 4 This is a schematic diagram of the overall process of the order data review assistance method described in the embodiments of this application; Figure 5 This is a schematic diagram illustrating the structure of the order data verification auxiliary device described in the embodiments of this application; Figure 6 This is a schematic diagram illustrating the structure of the electronic device described in the embodiments of this application.

[0025] Explanation of reference numerals in the attached figures: 510. Order Confirmation Module; 520. Rule Set Determination Module; 530. Key Point Determination Module; 540. Guide Generation Module; 610. Processor; 620. Memory. Detailed Implementation

[0026] To make the technical solution and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0027] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0028] Furthermore, it should be noted that in the description of this application, if terms such as "upper," "lower," "inner," or "outer" appear, indicating orientation or positional relationship, these are based on the orientation or positional relationship shown in the accompanying drawings and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this application. In addition, if terms such as "first" or "second" appear, they are also used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0029] Furthermore, in the description of this application, unless otherwise expressly defined, the terms "installation," "connection," "joining," and "connector" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application in light of the specific circumstances.

[0030] In this application, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0031] The present application will now be described in detail through exemplary embodiments. However, it should be understood that, without further description, elements, structures, and features in one embodiment may be advantageously incorporated into other embodiments.

[0032] An embodiment of the first aspect of this application provides an order data review assistance method. When it is necessary to review the data associated with an order, the method can automatically match the review points corresponding to the data of the order, generate and output review guidance data accordingly, so that the reviewer can directly view the review guidance data during the review process and know the key review items corresponding to each data, thereby helping the reviewer to review each data, reducing the omission of review points, and improving the review efficiency of the reviewer.

[0033] In related technologies, various order approval processes generally require compliance review of the documents associated with the order. For example, in the context of vehicle financing, when a customer initiates a vehicle financing application, a business order is generated and transferred to a reviewer for approval.

[0034] During the approval process, auditors need to check all kinds of documents associated with the order one by one, such as identity documents, income documents, asset documents, business contract documents, etc., in order to identify potential business risks.

[0035] Different types of financial cases (such as personal loans, corporate credit, auto finance, and consumer credit) have different material requirements and review standards. Even when reviewing the same documents, the specific review items may differ depending on the type of case. This requires reviewers to examine each key review item in the client's submitted documents, one by one, based on the specific type of case.

[0036] Currently, order data review relies on manual processing. When a large number of orders awaiting review flood the system, reviewers are prone to forgetting key review items, requiring them to think or search for relevant regulations. This results in poor review convenience and low review efficiency. Furthermore, if a reviewer completely misses a key review item, it will affect the quality of the review process and weaken the effectiveness of business risk control.

[0037] To improve the ease of review, the relevant technology displays the corresponding verification content in a designated area when the reviewer clicks on a certain item in the document.

[0038] However, this method still requires reviewers to remember which review items are included in each document, resulting in relatively low convenience of the review process.

[0039] In view of this, in order to overcome the shortcomings of the related technologies, the order data review assistance method in this embodiment combines... Figure 1 In terms of overall design, it includes the following steps S110-S140.

[0040] Step S110: Determine the order business type and order data.

[0041] The order business type is used to identify the business category to which the order belongs, such as "corporate loan", "individual business affiliation", "new car loan", "used car loan" and other business types.

[0042] Order data refers to the business attribute data carried by the order, which is different from the various materials uploaded by the customer. This order data consists of business parameters entered when the order is submitted or automatically generated by the system, such as application amount, loan term, customer identity type, processing channel, customer level, business purpose, and regional information.

[0043] After the review system receives the order submitted by the customer, it can identify the order business type corresponding to the order and extract the order data contained in the order.

[0044] Specifically, in step S110, the method of determining the order business type and order data may include: reading the business type identifier field carried in the order message to determine the order business type; parsing the order message, extracting the structured fields in the message, and obtaining the corresponding order data.

[0045] Step S120: Based on the order business type, determine the corresponding audit rule set for the order from the preset audit rule set.

[0046] The preset audit rule set refers to the set of rules pre-configured for a single order business type, which describes the key audit items that need to be audited for that order business type.

[0047] Specifically, the preset audit rule set is a set of audit rules pre-set by business personnel for each type of order business and is bound to the order business type. Each preset audit rule set defines the audit items (audit items, also known as audit points) of the documents that need to be audited for the corresponding order business type.

[0048] In some embodiments, the preset audit rule set may specifically include the documents required for audit corresponding to the order business type, the audit points corresponding to each document, and the triggering conditions on which each audit point takes effect.

[0049] In step S120, based on the order business type of the currently received order, the audit rule set corresponding to the current order can be selected from each preset audit rule set.

[0050] Step S130: When the auditor needs to review the documents associated with the order, the auditor determines the review points corresponding to the documents based on the audit rule set and the order data.

[0051] The key points of review refer to the items in the documents that need to be verified. For example, for the document "income certificate", the items to be verified (i.e., the key points of review) may include: official seal (verifying whether the official seal is authentic and valid) and income amount (verifying whether the income amount stated is reasonable).

[0052] Different order types have different review standards, and therefore different review points. For example, auto finance requires reviewing the purchase contract information and vehicle ownership documents, while corporate credit does not require verification of vehicle-related documents. The required documents for review also vary between order types. Furthermore, even if the required documents are the same, the review points for reviewing the same documents may differ. For instance, both auto finance and personal business loans require reviewing the customer's income verification. However, for auto finance, the review point for income verification focuses on whether the bank statements cover six months; for personal business loans, the review point focuses on verifying the continuity of operating income and its relevance to the business scale. The review points for the two are different.

[0053] Furthermore, even if two orders belong to the same business type, the specific review criteria will differ depending on the actual order details. For example, if both orders are auto finance transactions, both require proof of income. However, for large orders with substantial amounts (e.g., 250,000 yuan), the "verification of whether bank statements cover 6 months" requirement will be added to the "proof of income" section. Conversely, for smaller orders with smaller amounts (e.g., 80,000 yuan), this requirement will not be applied to the "proof of income" section.

[0054] When the auditor begins reviewing the documents associated with the order, based on the review rule set determined in step S120, the overall rules for reviewing the key points of each document corresponding to the business type of the order can be determined. Combined with the order data of the current order, the review key points more suitable for the current order can be identified from the review rule set. Therefore, in step S130, the review key points for the documents more suitable for the current order are jointly determined based on the review rule set and the order data.

[0055] Step S140: Based on the audit points, generate and output audit guidance data to prompt the auditor.

[0056] The audit guidance data refers to data that visually represents the key audit points, used to intuitively show auditors the verification items that must be completed for the current order. In some embodiments, the audit guidance data may specifically be an audit list containing each audit point and its audit status. For example, a complete audit list can be automatically generated for income verification, directly displaying all pending items such as official seal verification and income amount verification, and simultaneously showing the audit status of each point, without requiring auditors to click on the document content to retrieve the audit requirements for that item.

[0057] After generating the audit guidance data, output it, for example, by displaying it on the auditor's audit page. This allows auditors to directly see the guidance data displayed on the audit page while reviewing various documents, thus identifying the key audit points for each document and providing guidance. This eliminates the need for auditors to search for relevant regulations, switch between and search for external memos, or memorize the content requiring auditing in the documents when they forget certain audit points. Instead, they can clearly identify all audit items in the current document by viewing the guidance data, thereby improving approval efficiency, reducing the likelihood of missing key audit items, and enhancing audit quality and risk control effectiveness.

[0058] In other words, through steps S110-S140, when it is necessary to review the materials associated with an order, the order business type and order data are integrated, and the corresponding review rule set is adaptively matched accordingly. By analyzing the order materials, the review points corresponding to the order materials are determined, and structured and clearly directed guided review data (i.e., review guidance data) is generated. This allows auditors to directly view the review guidance data during the review process and to know the various review items that need to be reviewed for the current materials. This realizes the transformation from passive response-driven, human experience-driven review to proactive guidance-driven, rule- and data-driven review, thereby significantly reducing the dependence of human experience and retrieval costs on review efficiency, reducing the possibility of auditors missing review points when reviewing materials, and improving the review efficiency of auditors. In addition, it can also achieve long-term empowerment of the overall business review quality at the process level, thereby improving the intelligence level and operational efficiency of business review.

[0059] Furthermore, this audit guidance data is generated based on the audit points involved in the document, reflecting all the audit items in the entire document. Auditors do not need to memorize the content that needs to be audited in the document; they can find out the audit items that need to be audited by viewing this audit guidance data.

[0060] Continue by Figure 1 As shown, in some exemplary implementations, the preset audit rule sets in step S120 above, as well as the determined audit rule sets, are rule sets that include the documents required for auditing orders of the corresponding order business type, the audit points corresponding to each document, and the triggering conditions corresponding to each audit point.

[0061] Specifically, since the required documents and the corresponding review points for each document may differ or be the same for different order business types, the required documents and the corresponding review points for each order business type can be set separately. The required documents and the corresponding review points should cover all documents that may need to be reviewed for all orders belonging to that order business type, as well as all review points that may be involved in all orders.

[0062] Furthermore, considering that different orders of the same business type may have different review points when reviewing various documents, in this embodiment, when setting the preset review rule set, corresponding trigger conditions are also set for each review point.

[0063] The trigger condition refers to the judgment rule set based on order data, which is pre-configured by business personnel to determine whether a certain review point is effective in the current order. When the order meets the trigger condition of a review point, it means that the order needs to be reviewed for that review point; if the trigger condition is not met, it means that the order does not need to be reviewed for that review point. For example, the review points pre-configured in the auto finance business rules set include "verifying whether the bank statement covers 6 months", and the trigger condition is configured as loan application amount ≥ 200,000 yuan.

[0064] When the order loan amount is 250,000 yuan, the trigger condition is met and the review point is activated; if the order loan amount is 80,000 yuan, the trigger condition is not met, which means that the current order does not need to review whether the bank statement covers 6 months, and whether the bank statement covers 6 months is not the review point corresponding to this order.

[0065] In some embodiments, refer to Figure 2 The process of generating the preset review rule set corresponding to each order business type may specifically include the following steps S210-S250.

[0066] Step S210: Identify the order business type selected by the business personnel in each preset order business type atomic item.

[0067] Among them, the preset order business type atomic item is a basic business type option that is pre-maintained by the system and cannot be divided. It encompasses all configurable order business categories and serves as the basic unit that business personnel can select when creating new rule sets.

[0068] Specifically, the business configuration terminal predefines atomic items corresponding to various order business types. When business personnel set a preset audit rule set corresponding to a certain order business type in the business configuration terminal, they can directly select the currently configured order business type from the built-in preset order business type atomic items.

[0069] Step S220: Identify the order business type for the business personnel and obtain the data rule configuration corresponding to the order business type from the data types selected from the preset data type atomic items.

[0070] The data rule configuration is used to represent the correspondence between order business types and the data that need to be reviewed. For example, if a business person selects data a1-a5 for order business type a, then the data rule configuration is: the correspondence between order business type a and the data a1-a5 that need to be reviewed.

[0071] An atomic item refers to a pre-maintained basic unit that business personnel can select. This preset data type atomic item refers to an atomic item that includes all data types that may be involved in all order business types, such as receipts, commitments and authorizations, individual business licenses, vehicle certificates of conformity, vehicle / financial leasing mortgage contracts, vehicle delivery confirmation letters, entrusted payment agreements, joint loan confirmation letters, etc.

[0072] Specifically, after a business user selects an order business type, they can choose from the built-in preset data type atomic items the data types that may be involved in that order business type and require review. Based on the data types selected by the business user, the data that needs to be reviewed for that order business type can be determined, thus obtaining the data rule configuration.

[0073] Step S230: Identify the audit points selected by business personnel for each type of data from the preset audit point atomic items, and obtain the audit point rule configuration.

[0074] The key point rule configuration indicates the correspondence between each document and the key points it contains. For example, document a1 contains key points a11-a14, and document a2 contains key points a12-a15.

[0075] The preset audit point atomic item refers to an atomic item that includes all audit points that may be involved in all document types. Specifically, the preset audit point atomic item is designed separately for different document types. Each preset audit point atomic item for each document type should cover all audit points that document type may be involved in various orders. For example, for income verification documents, although some orders do not require the audit item "verify whether the bank statement covers 6 months", considering that some orders do require this audit, the preset audit point atomic item includes the atomic item "verify whether the bank statement covers 6 months".

[0076] Specifically, after business personnel select various document types, they can further select from the preset audit point atomic items corresponding to each document type to identify all audit points that may be required for that document type under that order business type. Based on the audit points selected by the business personnel for each document type, the audit points required for each document can be determined, thus obtaining the audit point rule configuration.

[0077] Step S240: Read the trigger conditions set by business personnel for each audit point to obtain the trigger rule configuration.

[0078] The trigger rule configuration indicates the correspondence between each audit point and its corresponding trigger condition.

[0079] Specifically, after setting the review points corresponding to each document, it is equivalent to determining all the review points that may be involved in all orders. However, the actual review points required for a specific order may vary.

[0080] For example, both Order X and Order Y belong to the new car loan business type. Order X is a personal loan and Order Y is a sole proprietorship loan. Order X does not need to be reviewed for the various review points in the sole proprietorship business license document, while Order Y does. Therefore, the trigger condition for all review points in the sole proprietorship business license document is set to whether the order initiator is a sole proprietorship.

[0081] For example, both orders require proof of income. Regarding the audit point of "verifying whether the bank statement covers 6 months" in the proof of income, this audit point is only required when the loan application amount is ≥ 200,000 yuan. If the loan application amount is less than 200,000 yuan, the audit point is not required. Therefore, the trigger condition for the audit point of "verifying whether the bank statement covers 6 months" in the proof of income is set as: loan application amount ≥ 200,000 yuan.

[0082] Therefore, business personnel can set the corresponding trigger conditions for each selected review point individually in the business configuration terminal. In step S240, the trigger conditions corresponding to each review point are read, and the trigger rule configuration is generated.

[0083] Step S250: Based on the data rule configuration, key point rule configuration and trigger rule configuration, generate the preset audit rule set corresponding to the selected order business type.

[0084] Specifically, the data rule configuration indicates the data that needs to be reviewed for each order business type, the key point rule configuration indicates the review key points corresponding to each data that needs to be reviewed, and the trigger rule configuration indicates the trigger rules corresponding to each review key point.

[0085] Therefore, based on the configuration of the data rules, key point rules, and trigger rules, a preset set of audit rules corresponding to the order business type can be directly generated for auditors to use during actual audits.

[0086] Therefore, through steps S210-S250, when configuring the preset audit rule set, business personnel can select the order business type, the various documents required for audit for that order business type, and the audit points corresponding to each document from the preset order business type atomic items, preset document type atomic items, and preset audit point atomic items. After the business personnel set the trigger conditions for the corresponding audit points, the preset audit rule set corresponding to that order business type is automatically generated. In this way, by utilizing the atomic items without requiring the business personnel to create them manually, the configuration convenience of the preset audit rule set can be improved. Furthermore, when the audit standards change, the updated preset audit rule set can be quickly set and adjusted, which also improves the flexibility of the audit rule set configuration.

[0087] Continue by Figure 1 and combined Figure 3 As shown, in some exemplary implementations, in step S130, when the auditor needs to review the information associated with the order, the key points of the review corresponding to the information are determined according to the audit rule set and the order data. Specifically, this may include the following steps S131-S134.

[0088] Step S131: Based on the audit rule set, filter out the data to be audited from the data associated with the order.

[0089] Among them, the materials pending review are the materials that need to be reviewed for the current order.

[0090] Step S132: Determine the audit points corresponding to the documents to be audited.

[0091] Specifically, the review rules include all the documents required for the order to be reviewed, the review points for each document, and the triggering conditions for each review point.

[0092] The documents associated with an order may contain both information that needs to be reviewed and information that does not. For example, in an auto finance order, the rules only require review of proof of income and the car purchase contract; additional photos uploaded by the customer are not considered reviewable documents and do not require review at this time. Therefore, in step S131, based on the documents associated with the order, it is checked whether each document belongs to the set of review rules. If it does, the document is determined to be subject to review. In this way, the documents required for review for the current order can be selected from the documents associated with the order, i.e., the documents subject to review can be filtered out.

[0093] Then, in step S132, the audit points corresponding to each document to be audited are found according to the audit rule set. Each document to be audited has at least one audit point.

[0094] Step S133: Based on the order data, identify whether the order meets the trigger conditions of each review point.

[0095] Step S134: Determine the audit points that meet the triggering conditions as the audit points corresponding to the documents to be audited.

[0096] Specifically, taking one of the documents to be reviewed as an example, the various review points corresponding to the document to be reviewed configured in the review rule set are used as alternative review points.

[0097] For each candidate audit point, determine the triggering condition for that candidate audit point configured in the audit rule set. Then, analyze each candidate audit point one by one. Specifically, based on the order data of the order, analyze whether the order meets the triggering condition corresponding to the candidate audit point. If the corresponding triggering condition is met, use the candidate audit point as the audit point corresponding to the auditable materials obtained in step S134.

[0098] If the order does not meet the triggering conditions corresponding to the alternative audit point, it means that the current alternative audit point is not a key audit item of the current order. Therefore, the alternative audit point is removed, that is, the alternative audit point is not used as the audit point corresponding to the audit data to be audited determined in step S134.

[0099] After completing the analysis of all the alternative audit points for the document to be audited, the same method can be used to find the alternative audit points and corresponding triggering conditions for the next document to be audited from the configuration of the audit rule set, so as to analyze the next document to be audited until the audit points corresponding to all the documents to be audited are determined.

[0100] Therefore, through steps S131-S134 above, when determining the audit points of the documents associated with the current order, the system first identifies the documents to be audited for the order based on the audit rule set, eliminating documents that do not require auditing. Then, it determines the audit points of each document configured in the audit rule set, and based on the triggering conditions of each audit point, it judges whether to audit the corresponding audit point for the current order, thus identifying all audit points that need to be audited among the documents to be audited. This filters out irrelevant documents and inapplicable audit points, avoids presenting redundant verification items to auditors, and simplifies the audit task.

[0101] Continue by Figures 1 to 2 and combined Figure 3 As shown, in some exemplary implementations, after determining the audit points corresponding to each document to be audited, step S140 can be executed to generate and output audit guidance data. Specifically, refer to Figure 3 In step S140, audit guidance data for prompting the auditor is generated and output according to the audit points, which may include the following steps S141-S142.

[0102] Step S141: Generate audit guidance data for each document to be audited based on the audit points corresponding to each document.

[0103] For example, if N documents to be reviewed are determined in step S131 (N is a positive integer not less than 1), then N review guidance data are generated in step S141, and each data corresponds to one of the documents to be reviewed.

[0104] In some exemplary implementations, step S141 involves generating audit guidance data for each document to be audited based on its respective audit points. Specifically, this may include: determining the priority of each audit point corresponding to the document to be audited; sorting the audit points in descending order of priority; and generating audit guidance data in the correct order based on the sorted audit points.

[0105] The priority here refers to the display priority of the review points when they are presented. The higher the priority, the higher the priority should be when reviewing the materials to be reviewed.

[0106] In this embodiment, we take one document to be reviewed as an example. For each review point in the document, they are sorted in descending order of priority, and review guidance data conforming to this order is generated. Thus, the review points with higher priority in the output review guidance data will be displayed first. For example, if the review guidance data is a list of review points, the review points are arranged in order of priority, with higher priority review points first and lower priority review points last.

[0107] In this way, when reviewing the materials to be reviewed, the auditors can review them in the order of the review points according to the review guidance data, so as not to miss any review points, thereby improving the convenience of the review.

[0108] The priority is pre-configured by business personnel when configuring the preset audit rule set. When determining the priority of audit points, it is determined according to the priority configured in the corresponding audit rule set. Specifically, when business personnel configure the preset audit rule set, after selecting audit points from the preset audit point atomic items and obtaining the point rule configuration, they can also configure the display priority of each audit point separately to obtain the point priority rule configuration representing the set priority of each audit point.

[0109] Thus, in step S141, when determining the priority of each audit point in the document to be audited, the priority of each audit point in the document to be audited can be determined according to the priority rule configuration of the key point in the preset audit rule set. The set priority is the priority of the audit point determined in step S141.

[0110] It is worth noting that when business personnel set the display priority of each review point, in some embodiments, the priority can be set according to the position of the review point in the document to be reviewed. For example, the review points that are located earlier can be set to a higher display priority, so that the reviewers can review them in order. For example, when reviewing long documents such as contracts, the reviewers can be reminded in the order they read them.

[0111] In other embodiments, when business personnel set the display priority of each review point, they can also set it according to the importance of the review point in the materials to be reviewed. For review points with higher importance, their display priority can be set higher. This allows the auditors to pay attention to the more important review points first, so as to focus on reviewing the more important review points. For example, when reviewing materials with less content, such as ID cards, they can be sorted by importance, so that the auditors can pay attention to the more important review points first and focus on reviewing them.

[0112] Step S142: When it is detected that the auditor is reviewing the documents to be reviewed, output the review guidance data corresponding to the documents to be reviewed.

[0113] Specifically, after generating the audit guidance data corresponding to each document to be audited in step S141, the system begins to detect the document to be audited currently being audited by the auditor, and outputs the audit guidance data corresponding to the document to be audited currently being audited in step S142.

[0114] In this process, when reviewing various documents, the auditor can select the document to be reviewed in the document selection area on the review page. For example, if the auditor selects "ID Card Review," the ID card image will be displayed on the review page, allowing the auditor to begin reviewing the ID card. After completing the ID card review, when the auditor needs to switch to reviewing the vehicle purchase contract, the auditor can change the option in the document selection area to switch from "ID Card Review" to "Vehicle Purchase Contract Review." The vehicle purchase contract information will then be displayed on the review page, allowing the auditor to begin reviewing the vehicle purchase contract. Thus, in step S142, the document item selected by the auditor in the document selection area can be detected to determine the document to be reviewed, and corresponding review guidance data can be output accordingly.

[0115] For example, when an auditor is reviewing document C1, only the review guidance data corresponding to document C1 is output. Review guidance data for other documents is not output but stored in memory. After the auditor finishes reviewing document C1, they switch to document C2. At this point, the output of review guidance data for document C1 stops, and the output of review guidance data for document C2 is performed.

[0116] In this way, when outputting audit guidance data, only the audit guidance data corresponding to the document currently being audited by the auditor is output, and the audit guidance data of other documents to be audited is not output. This can avoid interference from the audit guidance data of other documents to be audited, and only the audit guidance data of the document currently being audited is presented, thereby improving the convenience of the auditor's audit.

[0117] Continue by Figures 1 to 3 As shown, in some exemplary implementations, when an auditor reviews the documents to be reviewed, not only can the audit guidance data of the current documents to be reviewed be fed back, but the audit process of the auditor in reviewing the documents to be reviewed can also be monitored and the output audit guidance data can be updated.

[0118] The audit guidance data is an audit list that includes each audit point and the audit status of each audit point.

[0119] The audit checklist is a visual representation for auditors, summarizing the audit points and their statuses for the currently pending audit materials in an itemized format. It visually presents all the verification tasks required for the current materials. For example, taking the audit guidance data for one of the pending audit materials as an example, this data includes audit points a1, a2, ..., an arranged in sequence, along with the audit status of each audit point.

[0120] After outputting the audit guidance data for prompting the auditor in step S140 above, the order data audit assistance method further includes: when it is detected that the auditor has completed the audit of an audit point, updating the audit status of the audit point in the audit list from incomplete to completed, obtaining the updated audit guidance data, and outputting the updated audit guidance data.

[0121] One specific method for detecting whether an auditor has completed the review of the key points can be by monitoring the auditor's actions on the review page. Specifically, the backend review system can establish a communication monitoring mechanism with the frontend review page to continuously capture interactive events generated by the auditor on the page. When a confirmation event is captured for a specific review point, it is determined that the auditor has completed the review of that review point. Exemplary interactive events could include: the auditor clicking the "Review Completed" checkbox corresponding to the review point, selecting the "No Errors" button, or detecting the auditor entering and submitting review comments for that review point.

[0122] The way to update the review status of a review point from incomplete to completed in the review checklist can be by adding the word "completed" after the text of the review point; highlighting the entire text of the review point in the review checklist; or adding special styles such as checkmark icons and background highlighting to distinguish it and intuitively reflect the status change to the reviewer.

[0123] After receiving the updated review guidance data, the review guidance data displayed on the page will be automatically refreshed to the updated review guidance data.

[0124] Specifically, the audit status of each audit point is incomplete by default. After the auditor completes the audit of an audit point, the audit status of that audit point in the audit list is updated to complete. In this way, as the auditor continues to audit, the audit status of each audit point will be updated to complete one by one until the auditor completes the audit of the current audit materials.

[0125] This allows auditors to clearly identify the audit points that have been completed and those awaiting review based on the audit status of each audit point in the audit checklist. This helps auditors avoid duplicate audits due to forgetting progress, especially when auditing pending materials containing a large number of audit points, thereby improving the convenience of the audit process.

[0126] Continue by Figures 1 to 3 As shown, in some of the exemplary implementations, when outputting audit guidance data, prompts can also be provided for important audit points, such as risks, common mistakes, and key points.

[0127] In order to highlight important review points, in this embodiment, the review rule set also includes preset prompt words for key review points.

[0128] In other words, when business personnel configure the preset review rule set, after obtaining the document rule configuration and key point rule configuration, they can also set corresponding preset prompts for the key review points in each document, thus obtaining the prompt rule configuration. When generating the preset review rule set, this prompt rule configuration is generated together, so that the preset review rule set also includes the preset prompts set for each key review point.

[0129] Specifically, in this embodiment, after generating and outputting audit guidance data for the auditor based on the audit points in step S140, the method may further include: determining the key audit points and their corresponding preset prompts for each document to be audited based on the audit rule set; generating risk warning information corresponding to each key audit point based on each key audit point and its corresponding preset prompts; and outputting the risk warning information corresponding to the key audit points when the auditor is detected to be reviewing key audit points.

[0130] Among these, key audit points are those corresponding to high-risk level verification items, or those that auditors are prone to overlook. These audit points are generally directly related to the core risk control indicators of the business. Preset prompts are reminder text materials that business personnel pre-bind to these key audit points. For example, the preset prompt for the audit point of "pre-reserved seal" could be "Check whether the pre-reserved seal is consistent with the system."

[0131] Specifically, taking one of the documents to be reviewed as an example, according to the review rule set, the key review points included in the document to be reviewed can be determined, as well as the preset prompts for each key review point.

[0132] In this way, when the auditor reviews the document to be reviewed, risk warning information can be generated based on the preset prompts for each key review point of the document.

[0133] The risk warning information is the content displayed to the auditor. It can be generated by inserting preset warning words into a preset risk warning template. For example, the risk warning information could be "Risk Warning: [Reserved Seal] is consistent with the system".

[0134] In this embodiment, when the auditor is reviewing the materials to be reviewed, the review system continuously monitors the interactive behavior of the review page and identifies the key review points that the auditor is currently operating in real time. When it detects that the auditor clicks, expands or edits a key review point, it determines that the auditor is reviewing that key review point and then outputs the corresponding risk warning information to the review page, which may be displayed in the form of a floating pop-up window or a side bar.

[0135] This allows auditors to receive risk alerts for high-risk audit points during the audit process, reminding them to pay attention to core risk points. This improves the efficiency of the audit process and reduces the chances of overlooking significant risk items during the audit.

[0136] Continue by Figure 1 As shown, in some exemplary embodiments, the order information review assistance method may further include the following after generating the review guidance data in step S140:

[0137] The auditer reviews the audit results for each audit point. Upon detecting that the auditer has triggered an order audit completion instruction, the order, documents, audit rule set, order data, corresponding audit points for the documents, audit guidance data, and the audit results for each audit point are bound and stored.

[0138] The audit result refers to the auditor's judgment after reviewing a single audit point, such as "audit passed," "flawed," or "risky." The audit system continuously monitors the auditor's actions, collecting and recording the audit result for each audit point in real time.

[0139] The order review completion instruction is a submission action triggered on the front-end review page after the reviewer has completed the verification of all the information for the order, which means that the manual review process for the current order has ended.

[0140] Binding storage refers to establishing a correlation index between data under the same order, and persistently saving all data as a complete audit file.

[0141] Specifically, the audit system continuously collects the audit results entered or selected by the auditors for each audit point and temporarily caches them; it continuously monitors front-end page interaction events to determine whether it has received an order audit completion instruction issued by the auditor; when the order audit completion instruction is identified, it uses the unique identifier of the order as the association primary key to associate the order data determined in step S110, the various materials associated with the order, the audit rule set matched in step S120, all the audit points corresponding to the materials determined in step S130, the audit guidance data generated in step S140, and the audit results corresponding to each audit point obtained by monitoring, forming a complete audit file, which is then stored in the database for persistent storage.

[0142] In this way, when conducting quality checks, reviews, and accountability retrospectives, the complete audit file corresponding to the order can be retrieved at once based on the order identifier, so as to fully restore the audit rules, order data, audit guidance data, and results of various audit points at that time, thus facilitating subsequent retrospectives.

[0143] In addition, in some embodiments, the audit rule set can be bound and stored with the order after the corresponding audit rule set is filtered out upon order entry; the audit guidance data can be bound and stored with the order after the audit points are determined and the audit guidance data is obtained; and the audit result can be bound and stored with the order after the auditor reviews each audit point and obtains the audit result, without having to wait until the order review is completed before storing them all at once.

[0144] It is worth noting that, regarding the order data review assistance method of this embodiment, based on the above exemplary implementations, in specific implementation, as a preferred embodiment, it is still provided by... Figures 1 to 3 and combined Figure 4 As shown, it may include, for example:

[0145] First, business personnel configure the review rule sets for each order business type using the atomic items defined in the rule configuration module on the business configuration side. For example, business personnel can specify the materials to be reviewed based on the preset review material atomic items, bind the corresponding preset review point atomic items to each material, and also customize preset prompts (such as "Please check whether the vehicle registration certificate owner and the loan applicant are consistent"), set the trigger conditions and priorities of each review point, and obtain the preset review rule sets corresponding to each order business type.

[0146] Furthermore, the configuration of each preset audit rule set supports dynamic updates. In the event of rule changes, business personnel can directly modify the bound atomic items to automatically generate the updated preset audit rule set. This eliminates the need for business personnel to manually change the code, enabling rule adjustments and making the configuration process more flexible.

[0147] The configured preset audit rule sets are then persistently stored in the rule repository for auditors to retrieve after subsequent orders are received.

[0148] After a customer initiates an order on the client side, the order enters the review system through the order submission system and is then dispatched to the appropriate reviewer. The review system can retrieve the order's business type and associated documents from the order submission system.

[0149] The review system then uses its built-in rule engine module to schedule the review rule set corresponding to the order business type from the rule repository, and generates review guidance data and risk warning information by combining the order data and various materials associated with the order. This information can be stored permanently in the review data storage module.

[0150] When an auditor reviews an order, they can select the associated documents for individual review on the review operation page. The review system then detects this action, loads the review guidance data and risk warning information corresponding to the selected documents, and outputs this information to the auditor's review operation interface. This structured review guidance data and risk warning information can be located in the smart prompt area of ​​the review operation interface and displayed via highlighting, pop-ups, or sidebars.

[0151] This way, when auditors are reviewing documents, they can view the generated review guidance data and risk warning information in the sidebar / pop-up window after clicking on each document type, facilitating order review. Furthermore, the review guidance data can be updated in real time based on the auditor's review progress, allowing auditors to understand the current review progress of the documents.

[0152] Furthermore, after each audit point is completed, the audit result is also stored in the audit data storage module (and bound to the order) for permanent storage.

[0153] Until the auditor completes the review of all documents and outputs the order review completion instruction.

[0154] During quality inspection / backtracking, the quality inspection and auditing system can retrieve the order and related data from the audit data storage module and feed it back to the business management personnel so that they can conduct quality inspection.

[0155] In the preferred embodiment of the above order data review assistance method, the specific implementation process of each step can still be referred to the description in the above exemplary embodiments, and the beneficial effects brought about by the design of each step in this preferred embodiment can also be referred to the description in the above exemplary embodiments.

[0156] The order data review assistance method in this embodiment adopts the above design. When it is necessary to review the data associated with an order, it can automatically determine the review rule set of the order and automatically determine the review points corresponding to the data of the order based on the review rule set. Based on this, it generates and outputs review guidance data, so that the reviewer can directly view the review guidance data during the review process and know the key review items corresponding to each data. This helps the reviewer to review each data, thereby reducing the omission of review points and improving the review efficiency of the reviewer.

[0157] Furthermore, during the configuration of the preset audit rule set in this embodiment, the order business type, the various documents required for audit for that order business type, and the audit points corresponding to each document can be selected from preset order business type atomic items, preset document type atomic items, and preset audit point atomic items. After the business personnel set the trigger conditions for the corresponding audit points, the preset audit rule set corresponding to that order business type is automatically generated. This utilizes atomic items without requiring manual creation by business personnel, thus improving the convenience of configuring the preset audit rule set. Moreover, when audit standards change, the updated preset audit rule set can be quickly set and adjusted, increasing the flexibility of audit rule set configuration.

[0158] An embodiment of the second aspect of this application provides an order data review assistance device. This device guides reviewers when reviewing data associated with an order, thereby assisting the reviewer's data review work. Specifically, see... Figure 5 The order data review auxiliary device includes an order confirmation module 510, a rule set confirmation module 520, a key point confirmation module 530, and a guide generation module 540.

[0159] The order confirmation module 510 is used to determine the order business type and order data. The rule set determination module 520 is used to determine the corresponding audit rule set for the order from a preset audit rule set based on the order business type. The key point determination module 530 is used to determine the audit key points corresponding to the documents associated with the order, based on the audit rule set and order data, when the auditor needs to audit the documents. The guidance generation module 540 is used to generate and output audit guidance data to prompt the auditor based on the audit key points.

[0160] Specifically, in the implementation of the order data verification auxiliary device of this embodiment, the above-mentioned modules can be existing module products with data transmission, storage or computing functions.

[0161] In practical applications, the specific implementation process of the functions of each module in the order data review auxiliary device of this embodiment can be found in the relevant descriptions in the above method embodiments, and will not be repeated here.

[0162] The order data review auxiliary device in this embodiment can automatically generate review guidance data when the reviewer reviews the data associated with the order, so that the reviewer can review each review point in the data, thereby improving the convenience of the reviewer's business review and improving the efficiency of the business review.

[0163] An embodiment of the third aspect of this application provides an electronic device, referring to... Figure 6 , Figure 6 The illustrated electronic device includes a processor 610 and a memory 620. The processor 610 and the memory 620 are connected, for example, via a bus. Optionally, the electronic device may also include a transceiver. It should be noted that in practical applications, the transceiver is not limited to one unit, and the structure of this electronic device does not constitute a limitation on the embodiments of this application.

[0164] The memory 620 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 610. The processor 610 is used to execute the application code stored in the memory 620 to implement the content shown in the foregoing method embodiments.

[0165] Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers, and can also be servers, etc. Figure 6 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0166] The electronic device in this embodiment, by executing the order data review assistance method in the above method embodiment, can automatically generate review guidance data when the reviewer reviews the data associated with the order, so that the reviewer can review each review point in the data, thereby improving the convenience of the reviewer's business review and improving the efficiency of the business review.

[0167] The above are merely some embodiments of this application and are not intended to limit this application. The technical features or structures in the foregoing different embodiments can be arbitrarily combined to form other specific technical solutions as needed. For those skilled in the art, this application can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of this application should be included within the protection scope of the claims of this application.

Claims

1. A method for assisting in order data review, characterized in that, include: Determine the order's business type and order data; Based on the order business type, determine the audit rule set corresponding to the order from the preset audit rule set; When an auditor needs to review the materials associated with the order, the key points of the review are determined based on the review rule set and the order data. Based on the audit criteria, generate and output audit guidance data to prompt the auditor.

2. The order data verification auxiliary method according to claim 1, characterized in that, The audit rule set is a set of rules that includes the materials required for auditing orders of the order business type, the audit points corresponding to each material, and the triggering conditions corresponding to each audit point. Wherein, when the auditor needs to review the materials associated with the order, determining the review points corresponding to the materials based on the review rule set and the order data includes: According to the set of review rules, the data to be reviewed is selected from the data associated with the order, wherein the data to be reviewed is the data that needs to be reviewed for the current order. Determine the key audit points corresponding to the materials to be audited; Based on the order data, identify whether the order meets the triggering conditions of each of the aforementioned review criteria; Each audit point that meets the triggering condition is determined as the audit point corresponding to the document to be audited.

3. The order data review auxiliary method according to claim 2, characterized in that, The step of generating and outputting review guidance data for prompting the reviewer based on the review points includes: Based on the review points corresponding to each of the documents to be reviewed, review guidance data corresponding to each of the documents to be reviewed is generated respectively; When the auditor is detected reviewing the document to be reviewed, the corresponding review guidance data for the document to be reviewed is output.

4. The order data review auxiliary method according to claim 3, characterized in that, The step of generating review guidance data for each of the submitted documents based on their respective review criteria includes: Determine the priority of each of the audit points corresponding to the materials to be audited; The review points are sorted in descending order of priority, and review guidance data that conforms to the sorted order is generated based on the sorted review points.

5. The order data verification auxiliary method according to claim 2, characterized in that, The set of audit rules also includes preset prompts for key audit points; The process further includes, after generating and outputting audit guidance data to prompt the auditor based on the audit points: Based on the set of review rules, determine the key review points and their corresponding preset prompts for each document to be reviewed; Based on each of the key review points and their corresponding preset prompts, generate risk warning information corresponding to each of the key review points; If the auditor is detected reviewing the key audit points, the risk warning information corresponding to the key audit points will be output.

6. The order data verification auxiliary method according to claim 2, characterized in that, The audit guidance data is an audit list that includes each audit point and the audit status of each audit point; Following the output of the audit guidance data used to prompt the auditor, the following is also included: When it is detected that the auditor has completed the review of an audit point, the audit status of the audit point in the audit list is updated from incomplete to completed, the updated audit guidance data is obtained, and the updated audit guidance data is output.

7. The order data verification auxiliary method according to claim 2, characterized in that, The process of generating the preset audit rule set includes: Identify the order business type selected by the business personnel in each preset order business type atomic item; Identify the business personnel's choice of the order business type and the data type selected from the preset data type atomic items to obtain the data rule configuration corresponding to the order business type. The data rule configuration is used to represent the correspondence between the order business type and the data to be reviewed. Identify the audit points selected by the business personnel for each of the aforementioned data types from each of the preset audit point atomic items, and obtain the audit point rule configuration, wherein the audit point rule configuration represents the correspondence between each of the aforementioned data and the audit points contained therein; The triggering conditions set by the business personnel for each review point are read to obtain the triggering rule configuration, which represents the correspondence between each review point and its corresponding triggering condition; Based on the data rule configuration, the key point rule configuration, and the trigger rule configuration, a preset audit rule set corresponding to the selected order business type is generated.

8. The order data verification auxiliary method according to claim 1, characterized in that, The order information verification assistance method also includes: The audit results of the auditors reviewing each audit point are monitored. Upon detecting that the auditor has triggered an order review completion instruction, the order, the materials, the review rule set, the order data, the review points corresponding to the materials, the review guidance data, and the review results of each review point are bound and stored.

9. An order data verification auxiliary device, characterized in that, include: The order confirmation module (510) is used to determine the order business type and order data of the order; The rule set determination module (520) is used to determine the audit rule set corresponding to the order from a preset audit rule set according to the order business type; The key point determination module (530) is used to determine the key points of the audit based on the audit rule set and the order data when the auditor needs to audit the data associated with the order. The guidance generation module (540) is used to generate and output review guidance data for prompting the reviewer based on the review points.

10. An electronic device, characterized in that, include: Memory (620) is used to store computer programs; The processor (610) is configured to execute the computer program stored in the memory (620) to implement the order data review assistance method according to any one of claims 1-8.

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