Vehicle authentication detection client management system

Abstract

The invention discloses a vehicle authentication detection management system. The system relates to the technical field of vehicle detection management, and comprises a customer price packet construction module which configures a detection item combination and a price rule according to requirements and establishes settlement identifier mapping; the contract standard mapping module is used for forcibly checking the compatibility between the customer detection requirements and the internal standard library; the customer panoramic analysis module is used for aggregating customer data to generate a visual report; the dynamic settlement rule module executes a differential settlement strategy; the customer credit evaluation module dynamically calculates a credit value based on the performance behavior data and adjusts an account period; the financial data synchronization module realizes data consistency verification of an external financial system; the customer self-service module provides report progress tracking and block chain electronic invoice storage; a data version control subsystem manages a contract history version. The problems of pricing stiffness, standard conflict, credit evaluation lag and data tracing difficulty in traditional customer management are solved, and the customer management efficiency and compliance of a detection mechanism are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of management systems, and in particular to a vehicle certification and inspection customer management system. Background Art

[0002] With the rapid development of the automotive industry, vehicle certification and testing services have become more complex, frequently updated, and have seen a surge in data volume. The existing vehicle certification and testing management systems have the following significant drawbacks: 1. Inefficient pricing: The testing project portfolio relies on manual configuration, and cannot intelligently recommend packages based on customer historical behavior (such as high-frequency testing projects). Discount rules are rigid, resulting in a long quotation cycle.

[0003] 2. High risk of standard compliance: When customized testing requirements conflict with industry standards, the lack of an automated verification mechanism can easily lead to disputes over invalid reports.

[0004] 3. Credit assessment lag: Traditional static credit models cannot respond to changes in performance behavior in real time, resulting in a high bad debt rate.

[0005] 4. Difficulty in data tracing: The contract revision process lacks versioning, resulting in inefficient dispute resolution. Weak cross-system collaboration: Data from the testing system and financial system are asynchronous, leading to a high error rate in manual reconciliation.

[0006] Therefore, a vehicle certification and inspection customer management system is proposed to solve the above problems. Summary of the Invention

[0007] In view of this, an object of the present invention is to provide a vehicle certification and inspection customer management system to at least solve the above problems.

[0008] The technical solution adopted in the present invention is as follows: A vehicle certification and inspection customer management system, comprising: The customer price package building module is configured to configure the testing project combination and its price rules according to customer needs, and establish settlement identifier mapping rules; The contract standard mapping module is configured to enforce the compatibility of the test content required by the customer with the system's internal standard library during the contract creation phase; The customer panorama analysis module is configured to aggregate basic customer data, contract execution process data, and financial settlement status data, and generate interactive visual analysis reports; Dynamic settlement rule module, configured to execute settlement strategies based on preset rules; A customer credit assessment module configured to dynamically calculate a credit assessment value based on customer performance behavior data; Financial data synchronization module, configured to perform data interaction and consistency verification with external financial systems; Customer self-service module, configured to provide customers with self-service query and service functions; The data version control subsystem module is configured to manage historical versions of customer contracts and price packages.

[0009] Furthermore, the customer price package building module includes: A project recommendation unit configured to analyze the customer's historical test project data and generate a recommended list of high-frequency test projects; The discount calculation unit is configured to automatically calculate an applicable price discount coefficient based on preset rules and customer historical cooperation data.

[0010] Furthermore, the dynamic settlement rule module includes: A customer grading unit is configured to classify customers into different grades according to preset rules based on their historical contract data; The simulated quotation unit is configured to generate simulated quotation comparison information based on different settlement strategies during the contract drafting stage.

[0011] Furthermore, the contract standard mapping module includes a conflict handling mechanism, which is configured as follows: a discrepancy detection unit configured to identify discrepancies between customer standard requirements and an internal standard library and to lock the contract process when the discrepancy exceeds a preset threshold; The manual intervention interface is configured to push the difference details to the designated responsible person's terminal for arbitration processing.

[0012] Furthermore, the customer credit assessment module is configured as follows: Real-time collection of customer contract fulfillment rate, on-time payment collection rate, and overdue payment data; Calculate customer credit assessment value based on the preset assessment model; The customer's settlement period is dynamically adjusted based on the credit assessment value.

[0013] Furthermore, the financial data synchronization module is configured as follows: a data conversion unit configured to convert settlement detail data into a financial voucher in a standard format; The data verification unit is configured to compare the consistency of relevant data in this system with that in the external financial system.

[0014] Furthermore, the customer panorama analysis module includes: a geographic information analysis unit configured to generate a customer geographic distribution heat map and overlay customer output value data on the heat map; The regional competitiveness analysis unit is configured to generate a regional competitiveness assessment radar chart.

[0015] Furthermore, the customer self-service module is configured to provide: Inspection report progress tracking service, supporting real-time status query by vehicle identification number (VIN); The electronic invoice notarization service uses distributed ledger technology to store electronic invoice information.

[0016] Furthermore, the data version control subsystem module is configured as follows: Implement version management for customer contracts and price packages, and record changes in each revision; Record the operation log of version revision, including the operator, operation time and operation terminal identification information.

[0017] Furthermore, it also includes a data security compliance architecture module, which is configured as follows: Implement high-strength encryption for stored customer sensitive data; Implement field-level data access controls to dynamically control the visibility of critical information based on user roles.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. Improved efficiency of intelligent pricing: The customer price package construction module generates a recommendation list through a historical project frequency analyzer, and the discount calculation unit automatically matches tiered discounts based on output value contribution, shortening the quotation cycle.

[0019] 2. Real-time prevention and control of standard conflicts: The difference detection unit of the contract standard mapping module automatically locks the contract when the threshold is exceeded. The manual arbitration interface pushes the difference to the technical person in charge, reducing the contract dispute rate.

[0020] 3. Credit-driven dynamic risk control: The customer credit assessment module collects the fulfillment rate, on-time payment rate and number of overdue payments in real time, outputs the credit value through a preset model and links it to the account period, shortening the collection cycle.

[0021] 4. Zero-error synchronization of financial data: The financial data synchronization module converts vouchers in a standard format, and the two-way verification module automatically compares data between systems daily, thereby reducing the need for manual reconciliation. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a schematic diagram of the overall structure of the system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The principles and features of the present invention are described below with reference to the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0025] Reference Figure 1 The present invention provides a vehicle certification and inspection customer management system, comprising: The customer price package building module is configured to configure the testing project combination and its price rules according to customer needs, and establish settlement identifier mapping rules; The contract standard mapping module is configured to enforce the compatibility of the test content required by the customer with the system's internal standard library during the contract creation phase; The customer panorama analysis module is configured to aggregate basic customer data, contract execution process data, and financial settlement status data, and generate interactive visual analysis reports; Dynamic settlement rule module, configured to execute settlement strategies based on preset rules; A customer credit assessment module configured to dynamically calculate a credit assessment value based on customer performance behavior data; Financial data synchronization module, configured to perform data interaction and consistency verification with external financial systems; Customer self-service module, configured to provide customers with self-service query and service functions; The data version control subsystem module is configured to manage historical versions of customer contracts and price packages.

[0026] For example, the customer price package construction module can customize the inspection service package according to customer needs and establish price calculation rules. When the customer selects a combination of inspection items (such as "exhaust gas inspection + collision test"), the customer price package construction module automatically associates preset price rules (such as "bulk inspection discount" and "long-term cooperation discount"). In establishing settlement identification mapping rules, the inspection items selected by the customer can be automatically associated with the settlement items in the financial system (such as "inspection service fee" and "equipment usage fee"), thereby avoiding the arbitrariness of traditional manual quotations and ensuring that the price rules are transparent and traceable.

[0027] The contract standard mapping module can automatically verify the compatibility of customer testing requirements with industry / enterprise standards during the contract creation phase. The contract standard mapping module can call the internal standard library (such as the national standard GB 18352 and the European standard ECE R83) to force a comparison of the testing items and technical parameters in the customer contract with the standard requirements. If incompatibility is detected (such as the customer requires "nitrogen oxide emissions ≤0.1g / km", but the national standard requires ≤0.2g / km), the contract process will be automatically locked and a prompt will be triggered, thereby reducing the risk of contract disputes caused by standard mismatches (such as avoiding invalid reports due to testing methods not meeting regulatory requirements).

[0028] The customer panoramic analysis module can integrate multi-dimensional customer data to generate visual analysis reports. By aggregating basic customer data (such as company size and industry), contract execution data (such as inspection task completion rate and number of overdue periods), and financial data (such as collection period and amount of debt), the customer panoramic analysis module can also generate interactive visual reports (such as customer credit trend charts and regional output value distribution heat maps) to support management in dynamically filtering data through drag-and-drop operations, thereby providing data support for customer grading and pricing strategy adjustments.

[0029] The dynamic settlement rules module can dynamically adjust settlement strategies based on customer behavior. It can automatically match settlement methods (such as account period, prepayment, and installment payment) based on preset rules (such as "customer credit rating ≥ 80 points, account period extended to 60 days" and "new customers prepay 30% for first cooperation"). The dynamic settlement rules module also supports real-time switching of settlement strategies (such as automatically shortening the account period when customer credit deteriorates), thereby reducing bad debt risks.

[0030] The customer credit assessment module can quantify customer credit based on performance behavior. The customer credit assessment module can collect customer performance data in real time (such as contract on-time delivery rate, collection on-time rate, and historical overdue times). The customer credit assessment module calculates the credit assessment value (such as 0-100 points) through a preset model (such as weighted scoring method) and associates it with the settlement period (such as ≥90 points can enjoy a 60-day settlement period), thereby reducing the subjectivity of manual credit assessment and improving the assessment accuracy.

[0031] The financial data synchronization module can achieve data consistency between the testing system and the financial system. The financial data synchronization module converts data such as testing contracts and settlement details into a standard financial voucher format (such as an XML file recognizable by the SAP system), and performs two-way verification of data consistency (such as automatic comparison of the "recovered amount" in the testing system with the "account record" in the financial system), thereby avoiding financial errors caused by data inconsistency (such as duplicate invoicing and missed revenue).

[0032] The customer self-service module can provide customers with online self-service inquiries and service portals. The customer self-service module supports customers to query the progress of inspection reports through the VIN code (vehicle identification number) (such as "the collision test report of vehicle A has been generated and is awaiting issuance"), and provides electronic invoice notarization services, which can use blockchain technology to ensure that the invoice information cannot be tampered with.

[0033] The data version control subsystem module can manage historical versions of customer contracts and price packages. The data version control subsystem module can record the changes of each contract revision (such as "Revision on June 1, 2024: Delete exhaust gas detection items") and save operation logs (such as reviser, revision time, terminal device information). It supports tracing the change trajectory by time dimension, thereby avoiding contract disputes caused by version confusion (for example, when a customer claims the terms of an old version of the contract, the historical version can be quickly retrieved as evidence).

[0034] The customer price package building module includes: A project recommendation unit configured to analyze the customer's historical test project data and generate a recommended list of high-frequency test projects; The discount calculation unit is configured to automatically calculate an applicable price discount coefficient based on preset rules and customer historical cooperation data.

[0035] For example, the project recommendation unit can automatically generate high-frequency testing project combination recommendations based on the customer's historical behavior data to improve the efficiency of package configuration. In data mining, it can analyze the customer's historical testing records (for example, the frequency of "exhaust gas testing + collision testing" commissioned by a certain car company customer in the past three years reached 85%). In the recommendation logic, through the collaborative filtering algorithm: identify the common needs of the customer's industry (such as new energy vehicle manufacturers), and recommend industry standard testing combinations (such as battery safety testing + electromagnetic compatibility testing). In the dynamic update mechanism, the recommendation list can be automatically adjusted according to seasonal needs (such as increased demand for low-temperature testing in winter) or regulatory updates (such as the addition of exhaust emission testing items).

[0036] The discount calculation unit can automatically match applicable discount rules based on customer attributes and historical cooperation data to achieve differentiated pricing. Multi-dimensional discount rules can be preset through the rule engine (such as "5% discount for cooperation period ≥ 3 years" and "tiered discount for quarterly inspection volume > 100 times"). In dynamic calculation, customer classification is carried out: customers are divided into "strategic customers", "ordinary customers" and "temporary customers" based on historical cooperation data (such as contract amount and payment punctuality rate). In real-time price adjustment, the system can automatically match customer levels and discount rules during the contract drafting stage to generate real-time quotes (for example, strategic customers automatically display "discounted price: ¥85,000").

[0037] Specific application scenario examples: In the case of first-time cooperation with a new customer, a new energy vehicle company commissioned testing for the first time. The project recommendation unit recommended the "battery safety testing + charging interface compatibility testing" combination based on its industry attributes. The discount calculation unit quoted according to the "temporary customer" standard (no discount) because the customer had no historical cooperation data.

[0038] Regarding the renewal of a long-standing customer, a traditional automaker has been collaborating for four years, with a consistent quarterly inspection volume of over 120 times. Based on historical data, the project recommendation unit recommends the "exhaust gas inspection + OBD diagnostic" combination. The discount calculation unit automatically matches the "3+ years of partnership + >100 quarterly inspections" rule and displays the discounted price (original price ¥120,000 → discounted price ¥108,000).

[0039] The dynamic settlement rule module includes: A customer grading unit is configured to classify customers into different grades according to preset rules based on their historical contract data; The simulated quotation unit is configured to generate simulated quotation comparison information based on different settlement strategies during the contract drafting stage.

[0040] For example, the customer grading unit can dynamically divide customer levels according to preset rules based on the customer's historical cooperation data, providing a basis for differentiated settlement strategies. In terms of data collection, by extracting the customer's historical contract data (such as contract amount, frequency of inspection items, on-time collection rate, number of overdue payments), in terms of grading rules, by using a multi-dimensional scoring model: setting weight parameters (such as contract amount accounts for 40%, on-time collection rate accounts for 30%, cooperation years accounts for 20%, and number of overdue payments accounts for 10%), and calculating the customer's comprehensive score (such as 0-100 points). In terms of grading standards, customers can be divided into "strategic customers (≥90 points)", "core customers (75-89 points)", "ordinary customers (60-74 points)", and "temporary customers (<60 points)" according to the scoring results. In terms of dynamic update mechanism, customer levels are adjusted in real time as new contract data is generated (for example, if a customer's on-time collection rate improves this quarter, the level is upgraded from "ordinary" to "core").

[0041] During the contract drafting phase, the simulated quotation unit can generate multiple simulated quotation comparisons based on customer tiers and preset settlement strategies to assist in decision-making. In terms of strategy configuration, multiple settlement strategies can be preset (such as "30% down payment + 30-day billing period," "0% down payment + 60-day billing period (exclusive for strategic customers)," and "Installment payment (3 installments)"). In terms of quotation calculation logic, the cost-plus method is used to calculate the base quotation based on the cost of the testing project (such as equipment usage fees and labor costs) and the target profit margin (such as 15%). In terms of tiered discounts, strategic customers automatically receive a 5% discount, core customers receive a 3% discount, and ordinary customers receive no discounts. For comparison, the total price, payment milestones, and discount ranges under different strategies can be presented in tables or charts (for example, "Strategy A: Total price ¥100,000, 30% down payment, 30-day billing period; Strategy B: Total price ¥98,000, 50% down payment, 45-day billing period").

[0042] Specific application scenario examples: Regarding a strategic customer renewal, a car company (strategic customer, rated 92 points) commissioned a new inspection task. The customer grading unit automatically identified the customer's level, and the simulated quotation unit generated two strategies: Strategy A (30% down payment + 60-day payment period): Total price ¥120,000 (5% discount); Strategy B (0% down payment + 90-day payment period): Total price ¥126,000 (no discount).

[0043] The customer selects Strategy A, and the system automatically generates the contract terms and pushes them to both parties for confirmation.

[0044] For a first-time customer, a newly established parts supplier (a standard customer with a score of 65) commissioned an inspection. The simulated quotation unit provided a basic strategy (50% down payment + 30-day payment period, total price ¥80,000) and a reminder that upgrading to a core customer (two years of cooperation or ≥50 quarterly inspections) would result in a 3% discount.

[0045] The contract standard mapping module includes a conflict handling mechanism, which is configured as follows: a discrepancy detection unit configured to identify discrepancies between customer standard requirements and an internal standard library and to lock the contract process when the discrepancy exceeds a preset threshold; The manual intervention interface is configured to push the difference details to the designated responsible person's terminal for arbitration processing.

[0046] For example, during the contract creation phase, the difference detection unit can identify the differences between the test standard requirements proposed by the customer and the internal standard library of the system, and determine whether intervention is needed. In terms of standard comparison logic, through field-level matching: the test item parameters in the customer contract (such as "exhaust emission CO limit ≤ 0.3g / km") are compared with the internal standard library (such as the national standard GB18352.6-2023 requirement ≤ 0.5g / km") one by one. In terms of threshold setting, the difference tolerance can be preset (such as "parameter deviation exceeds 20%" or "key indicators (such as safety indicators) are completely mismatched"). For minor discrepancies, such as a customer's requirement for "test report submission within 5 working days" and the internal standard for "7 working days" (a deviation of 28.6%), which does not exceed the threshold, the system marks it as "negotiable." For major discrepancies, such as a customer's requirement for "omitting the side impact part of the collision test" and the internal standard forcing this part (a complete mismatch), the system determines that "the contract process needs to be locked." In terms of process control, when a major discrepancy is detected, the contract process is automatically locked (such as prohibiting submission for approval and prohibiting the generation of test tasks) until the conflict is resolved.

[0047] When the system determines that there are major differences, the manual intervention interface can push the details of the differences to the designated responsible person's terminal, supporting remote arbitration processing. In terms of the push mechanism, it can be bound by the responsible person: according to the contract type (such as "new energy vehicle testing") or the customer industry (such as "car company"), the preset responsible person (such as the head of the technical standards department, the legal affairs specialist) is automatically associated. In terms of multi-channel contact, the difference details can be pushed synchronously through system messages, emails, and SMS (such as "Contract No.: HT-20240601-001, Difference Item: Exhaust Emission CO Limit The customer requires a value of ≤0.3g / km, and the internal standard is ≤0.5g / km"). In the arbitration process, the responsible person can operate: the responsible person can view the details of the difference through the terminal (such as PC or mobile APP) and choose from three processing methods: "Accept customer standards", "Enforce internal standards" or "Negotiate and revise". In terms of process unlocking, when the arbitration is completed, the system automatically unlocks the contract process and records the processing results (such as "On June 1, 2024, Zhang San (Technical Standards Department) chose to accept the customer standard, and the difference item has been marked as 'Special Agreement'").

[0048] Specific application scenario examples: Regarding a customer's request for testing exceeding the standard, a certain automotive company contracted a requirement for "exhaust CO emissions limit ≤ 0.2g / km," while the internal standard was ≤ 0.5g / km. The discrepancy detection unit identified this as a significant discrepancy, locked the contract process, and forwarded it to the head of the Technical Standards Department. After review, the head determined that the customer's request met the latest national standard (which had been updated to ≤ 0.2g / km). The head selected "Accept Customer Standard," unlocking the contract process and continuing execution.

[0049] In response to a customer's request to omit a key testing step, a parts supplier specified in the contract that the salt spray test step be omitted, even though this step was mandatory in the internal standard (used to assess the corrosion resistance of the parts). The discrepancy detection unit identified this as a significant discrepancy and forwarded it to the legal specialist. After review, the legal specialist determined that the request violated industry regulations and selected "Enforce internal standards." The contract process was unlocked, but with the notation "Salt spray testing is mandatory, customer confirmation required."

[0050] The customer credit assessment module is configured as follows: Real-time collection of customer contract fulfillment rate, on-time payment collection rate, and overdue payment data; Calculate customer credit assessment value based on the preset assessment model; The customer's settlement period is dynamically adjusted based on the credit assessment value.

[0051] For example, the customer credit assessment module can continuously track customer performance during real-time data collection and standardized processing, providing a real-time and reliable data basis for credit assessment. In terms of data source integration, the contract fulfillment rate is used to count the proportion of on-time delivery in the customer's historical contracts (such as "9 out of 10 contracts in 2023 were delivered on time, with a fulfillment rate of 90%), and the collection punctuality rate is used to record the matching of customer payment records with the contractually agreed payment period (such as "1 million yuan should be collected, and 980,000 yuan was actually received within the payment period, with an punctuality rate of 98%"), and the number of overdue payments is used to count the frequency of customers' failure to pay beyond the payment period (such as "2 overdue payments in 2023, with the longest single overdue period of 15 days"). In terms of data cleaning rules, abnormal data can be eliminated (such as overdue payments that are not the customer's responsibility due to delayed inspection tasks) and standardized data formats can be given (such as unifying "90% fulfillment rate" into numerical data of 0.9).

[0052] In the design of the quantitative assessment model, the customer credit assessment module can convert customer behavior data into quantifiable credit assessment values ​​to provide a scientific basis for decision-making. In terms of model structure, a weighted scoring method can be adopted, and the weights of each indicator can be preset (such as 40% for fulfillment rate, 30% for on-time payment rate, and 30% for number of overdue payments). In terms of scoring logic, the fulfillment rate is directly mapped to 0-40 points (such as 90% fulfillment rate → 36 points), and the on-time payment rate is linearly mapped to 0-30 points (such as 98% on-time payment rate → 29.4 points), and points are reversely deducted based on the number of overdue payments (such as 5 points for one overdue payment and 10 points for two overdue payments). In terms of grading, customers can be divided into "high credit (≥85 points)", "medium credit (70-84 points)" and "low credit (<70 points)" according to the total score.

[0053] When the customer credit assessment module uses the dynamic account period adjustment mechanism, it can adjust the customer settlement account period in real time according to the credit assessment value to achieve a balance between risk and benefit. In the adjustment rule library, the mapping relationship between the account period and the credit level can be preset (such as "high-credit customers enjoy a 60-day account period, medium-credit customers enjoy a 45-day account period, and low-credit customers enjoy a 30-day account period"). In terms of trigger logic, by positively adjusting the customer's credit score from 75 points to 85 points, the account period is automatically extended from 45 days to 60 days. By negatively adjusting the number of overdue payments from 1 to 3 times, the credit score is reduced to 65 points, and the account period is automatically shortened from 45 days to 30 days. In terms of process linkage, when the account period is adjusted, the system updates the contract terms and pushes a notification to the customer (such as "Your account period has been adjusted to 60 days, please be informed").

[0054] Specific application scenario examples: For example, a customer from a car company had a 95% contract fulfillment rate, a 98% on-time payment rate, no overdue payments, and a credit score of 92 (high credit) over the past year. The system automatically extended their payment terms from 45 days to 60 days and sent a notification upon contract renewal.

[0055] In response to a customer's deteriorating credit situation, a parts supplier experienced two overdue payments due to delayed inspections, causing their credit score to drop to 68 (low credit). The system automatically shortened their payment period from 45 days to 30 days, with a reminder stating that "improvement in performance is required to restore payment terms."

[0056] The financial data synchronization module is configured as follows: a data conversion unit configured to convert settlement detail data into a financial voucher in a standard format; The data verification unit is configured to compare the consistency of relevant data in this system with that in the external financial system.

[0057] Exemplarily, the data conversion unit can convert the settlement details data of the testing system into a standard format recognizable by the financial system to ensure the accuracy of financial accounting. In terms of field mapping rules, the mapping relationship between the testing system fields and the financial system accounts can be preset (such as mapping the "service fee" of the testing contract to the "main business income" of the financial system, and mapping the "equipment usage fee" to the "other business costs"). In terms of format standardization, the settlement details (such as contract amount, discount amount, taxes) can be converted into a common format of financial vouchers (such as XML or JSON), including required fields (such as voucher date, summary, debit and credit accounts, amount). In terms of exception handling, fields that cannot be mapped (such as the "test project number" unique to the testing system) can be automatically marked as "extended fields" and the administrator can be prompted to supplement the mapping rules.

[0058] The data verification unit compares relevant data from the inspection system and external financial systems to ensure data consistency and avoid financial errors. The verification scope covers key fields (such as contract number, settlement amount, invoice date, and collection status). Verification logic includes real-time verification: a comparison is performed immediately after data conversion (for example, checking whether the system's "receipt of 1 million yuan" matches the financial system's "receipt record of 1 million yuan"). Scheduled verification: data from both systems is automatically pulled at dawn each day for a full comparison (for example, checking whether the system's "uninvoiced amount of 500,000 yuan" matches the financial system's "accounts receivable of 500,000 yuan"). Discrepancy resolution can be automated through automatic alerts: When discrepancies are detected (e.g., an amount deviation ≥ 1%), system messages or emails are sent to the financial manager. Manual corrections can also be made, allowing financial personnel to view discrepancy details through the interface (for example, "Contract HT-20240601-001: the inspection system shows an amount of ¥120,000, while the financial system shows ¥118,000") and manually adjust the data.

[0059] Specific application scenario examples: Regarding the synchronization of financial data after the completion of a testing contract, upon completion of a testing contract, the system automatically generates a settlement statement (amount ¥150,000). The data conversion unit converts this statement into a financial voucher format (a debit of ¥150,000 for the "Main Business Income" account) and pushes it to the financial system. The data verification unit compares the voucher to the financial system, confirming that the data is consistent.

[0060] To address discrepancies discovered during daily reconciliation, the system automatically compares the "uninvoiced amounts" in the testing system and the finance system every morning. On one day, the testing system displayed "uninvoiced ¥80,000," while the finance system displayed "uninvoiced ¥78,000," a discrepancy of ¥2,000. The system sent an alert to the finance manager, who verified that the testing system had missed a settlement record of ¥2,000. After correction, the data became consistent.

[0061] The customer panorama analysis module includes: a geographic information analysis unit configured to generate a customer geographic distribution heat map and overlay customer output value data on the heat map; The regional competitiveness analysis unit is configured to generate a regional competitiveness assessment radar chart.

[0062] For example, the geographic information analysis unit uses geographic space as a dimension to intuitively display the correlation between customer distribution characteristics and output value, and assist in regional market decision-making. In terms of data aggregation logic, data such as the number of customers, frequency of inspection tasks, and contract amount can be aggregated by administrative region (such as province, city) or custom region (such as "Northeast Region" and "South China Region"). In terms of associated output value data, customer distribution and output value (such as annual inspection revenue and average output value per customer) can be spatially superimposed and analyzed. In terms of visualization design, heat maps can be generated: using a color gradient algorithm (such as blue for low density / low output value, and red for high density / high output value), customer distribution density and output value intensity are dynamically rendered on the map. In terms of interactive enhancement, it can support hovering the mouse to display regional details (such as "Jiangsu Province: 50 customers, annual output value of ¥8 million"), and clicking on a region can drill down to the data of lower-level administrative units (such as drilling from "Jiangsu Province" to "Nanjing City").

[0063] The regional competitiveness analysis unit can quantify regional competitiveness through multi-dimensional indicators to provide data support for market expansion strategies. In the construction of the indicator system, it can be done by pre-setting competitiveness evaluation dimensions (such as market share, customer satisfaction, testing capabilities, price competitiveness, and service response speed), and refining quantifiable indicators in each dimension (such as "market share" is calculated by "regional testing task volume / industry total"). In data standardization processing, indicators of different dimensions can be normalized (such as converting "customer satisfaction (1-5 points)" and "testing capabilities (number of equipment)" into a unified score of 0-100 points). In the radar chart generation algorithm, the coordinates of polygon vertices can be calculated based on the standardized indicator scores to generate a regional competitiveness radar chart (such as a pentagon represents five dimensions, and the vertex position reflects the score).

[0064] Specific application scenario examples: Regarding the regional market expansion decision, the management discovered through the geographic information analysis unit that "the customer density in North China is low but the surrounding industries are concentrated (such as the automobile industrial park)." Combined with the radar chart of the regional competitiveness analysis unit (which showed that "the market share score in North China is 40 points and the testing capability score is 85 points"), it decided to add a testing center in North China and increase market promotion efforts.

[0065] Comparing regional competitiveness, the radar charts for the Northeast and South China regions show that the Northeast leads in market share (90 points) and testing capabilities (88 points), but lags behind South China in price competitiveness (65 points) (75 points). Management has adjusted pricing strategies in the East China region (e.g., introducing bulk testing discounts) to enhance price competitiveness.

[0066] The customer self-service module is configured to provide: Inspection report progress tracking service, supporting real-time status query by vehicle identification number (VIN); The electronic invoice notarization service uses distributed ledger technology to store electronic invoice information.

[0067] For example, the inspection report progress tracking service can provide customers with real-time and transparent inspection report status inquiries, reducing the need for manual consultation. In terms of query entrance design, an independent entrance can be set up on the customer self-service platform, supporting one-click query through the vehicle identification code VIN, and providing multi-dimensional status display (such as "inspection", "report generated", "pending issuance", "delivered"). In terms of data synchronization mechanism, it can connect to the inspection system in real time and automatically update the inspection progress (such as "crash test completed → exhaust gas inspection in progress → report generating"). In terms of abnormal status marking, if the inspection is delayed (such as equipment failure causing progress to stagnate), a prompt message will be automatically pushed to the customer terminal (such as "inspection is expected to be delayed for 2 hours, reason: equipment calibration").

[0068] The electronic invoice notarization service can ensure the non-tamperability and traceability of electronic invoice information through distributed ledger technology (such as blockchain). In the notarization process, the invoice information can be put on the chain: when the invoice is issued, the key fields of the invoice (such as invoice number, amount, invoice date, and inspection items) are hashed and stored in the blockchain network. In the multi-party consensus mechanism, the three nodes of the inspection agency, customer, and financial system can be jointly verified to reach a consensus. In the generation of notarization vouchers, a unique blockchain notarization identifier can be generated for each invoice, and the on-chain data can be quickly retrieved through the identifier.

[0069] Specific application scenario examples: In response to customers' inquiries about the inspection progress, a car company customer enters the VIN code through the self-service platform to view the vehicle inspection status in real time (such as "crash test completed, exhaust gas inspection in progress, expected report issuance time: 15:30"), and can understand the progress without contacting customer service.

[0070] Regarding the case of resolving disputes through invoice evidence, a customer claimed that he had not received the electronic invoice. The testing agency retrieved the on-chain records through the blockchain evidence identification, which showed that the invoice was issued at 14:00 on June 1, 2024 and pushed to the customer's email. The customer withdrew the complaint after confirmation.

[0071] The data version control subsystem module is configured as follows: Implement version management for customer contracts and price packages, and record changes in each revision; Record the operation log of version revision, including the operator, operation time and operation terminal identification information.

[0072] For example, the versioning recording mechanism in the data version control subsystem module can implement versioning management for customer contracts and price packages to ensure that historical data is traceable and restorable. In version identification generation: a unique version number is generated for each revision, such as "V1.0.20240601-001", which contains the main version number, revision date and sequential number. In terms of associated revision types, such as "Customer requires change in inspection items" and "System automatically updates price rules", in terms of change content records, field-level comparison can be used: record the differences in fields before and after revision, such as "Exhaust gas inspection items: before revision, it was 'National V Standard', after revision, it was 'National VIb Standard'".

[0073] The operation log tracking mechanism can record the operation log of version revisions to achieve responsibility tracing and abnormal behavior monitoring. The log content includes basic information: operator, such as "Zhang San-Technical Standards Department", operation time, operation terminal identification, such as IP address, device MAC address, and operation details, including the revised contract number, such as "HT-20240601-001", change fields, such as "Test project combination" and "Discount coefficient", and values ​​before and after the change, such as "Discount coefficient adjusted from 8% to 10%". For log storage and query, the log can be strongly associated with version data, such as each version number corresponds to an operation log.

[0074] Specific application scenario examples: In a dispute over contract terms, a client claimed that "the contract did not stipulate the cost of testing equipment calibration," yet the testing agency had already charged this fee during the actual testing. Retrieving historical versions through the version control module revealed that the client had deleted the "equipment calibration fee is the client's responsibility" clause during the contract revision phase (V1.0.20240520-002) without notifying the testing agency. The operation log showed that the clause was deleted by the client's representative, "Li Si," clarifying responsibility and preventing escalation of the dispute.

[0075] This embodiment also includes a data security compliance architecture module configured as follows: Implement high-strength encryption for stored customer sensitive data; Implement field-level data access controls to dynamically control the visibility of critical information based on user roles.

[0076] For example, the high-intensity encryption mechanism of the data security compliance architecture module can implement end-to-end encryption for stored customer sensitive data to prevent data leakage and illegal access. In terms of encryption algorithm selection, the AES-256 symmetric encryption algorithm can be used, and the RSA asymmetric encryption algorithm can also be used.

[0077] The field-level access control mechanism of the data security and compliance architecture module can dynamically control data visibility based on user roles to implement the principle of least privilege. In role permission mapping, a role permission table can be preset. For example, "finance personnel" can only see contract amounts and collection status; "inspection personnel" can only see inspection items and report progress. In key field marking, highly sensitive fields such as customer ID numbers and original inspection reports can be labeled "confidential". Dynamic permissions can be verified in real time: after the user logs in, the system dynamically loads accessible fields based on their role (for example, when an auditor logs in, the "contract discount coefficient" field is automatically blocked). In temporary permission extension, it can support administrator temporary authorization (such as "temporarily allowing sales staff to view a customer's contract amount, valid for 24 hours"). All data access behaviors can be recorded in access logs and audits (such as "Zhang San - Finance Department, 2024-06-01 14:30:25, accessed the amount field of contract HT-20240601-001").

[0078] Specific application scenario examples: To protect sensitive data from leakage, a testing agency's database was attacked by hackers. However, because fields such as customer ID numbers and bank account numbers were stored using AES-256 encryption, hackers could only obtain garbled data and were unable to restore the real information, thus ensuring customer data security.

[0079] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A vehicle certification and inspection customer management system, characterized in that: include: The customer price package building module is configured to configure the testing project combination and its price rules according to customer needs, and establish settlement identifier mapping rules; The contract standard mapping module is configured to enforce the compatibility of the test content required by the customer with the system's internal standard library during the contract creation phase; The customer panorama analysis module is configured to aggregate basic customer data, contract execution process data, and financial settlement status data, and generate interactive visual analysis reports; Dynamic settlement rule module, configured to execute settlement strategies based on preset rules; A customer credit assessment module configured to dynamically calculate a credit assessment value based on customer performance behavior data; Financial data synchronization module, configured to perform data interaction and consistency verification with external financial systems; Customer self-service module, configured to provide customers with self-service query and service functions; The data version control subsystem module is configured to manage historical versions of customer contracts and price packages.

2. A vehicle certification and inspection customer management system according to claim 1, characterized in that: The customer price package building module includes: A project recommendation unit configured to analyze the customer's historical test project data and generate a recommended list of high-frequency test projects; The discount calculation unit is configured to automatically calculate an applicable price discount coefficient based on preset rules and customer historical cooperation data.

3. A vehicle certification and inspection customer management system according to claim 1, characterized in that: The dynamic settlement rule module includes: A customer grading unit is configured to classify customers into different grades according to preset rules based on their historical contract data; The simulated quotation unit is configured to generate simulated quotation comparison information based on different settlement strategies during the contract drafting stage.

4. A vehicle certification and inspection customer management system according to claim 1, characterized in that: The contract standard mapping module includes a conflict handling mechanism, which is configured as follows: a discrepancy detection unit configured to identify discrepancies between customer standard requirements and an internal standard library and to lock the contract process when the discrepancy exceeds a preset threshold; The manual intervention interface is configured to push the difference details to the designated responsible person's terminal for arbitration processing.

5. A vehicle certification and inspection customer management system according to claim 1, characterized in that: The customer credit assessment module is configured as follows: Real-time collection of customer contract fulfillment rate, on-time payment collection rate, and overdue payment data; Calculate customer credit assessment value based on the preset assessment model; The customer's settlement period is dynamically adjusted based on the credit assessment value.

6. A vehicle certification and inspection customer management system according to claim 1, characterized in that: The financial data synchronization module is configured as follows: a data conversion unit configured to convert settlement detail data into a financial voucher in a standard format; The data verification unit is configured to compare the consistency of relevant data in this system with that in the external financial system.

7. A vehicle certification and inspection customer management system according to claim 1, characterized in that: The customer panorama analysis module includes: a geographic information analysis unit configured to generate a customer geographic distribution heat map and overlay customer output value data on the heat map; The regional competitiveness analysis unit is configured to generate a regional competitiveness assessment radar chart.

8. The vehicle certification and inspection customer management system according to claim 1, characterized in that: The customer self-service module is configured to provide: Inspection report progress tracking service, supporting real-time status query by vehicle identification number (VIN); The electronic invoice notarization service uses distributed ledger technology to store electronic invoice information.

9. The vehicle certification and inspection customer management system according to claim 1, characterized in that: The data version control subsystem module is configured as follows: Implement version management for customer contracts and price packages, and record changes in each revision; Record the operation log of version revision, including the operator, operation time and operation terminal identification information.

10. A vehicle certification and inspection customer management system according to claim 1, characterized in that: It also includes a data security compliance architecture module, configured as: Implement high-strength encryption for stored customer sensitive data; Implement field-level data access controls to dynamically control the visibility of critical information based on user roles.

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