CN118886912B - System and method for drivers of online freight platforms to withdraw freight in advance based on risk assessment - Google Patents
System and method for drivers of online freight platforms to withdraw freight in advance based on risk assessmentInfo
- Publication number
- CN118886912B CN118886912B CN202410988950.3A CN202410988950A CN118886912B CN 118886912 B CN118886912 B CN 118886912B CN 202410988950 A CN202410988950 A CN 202410988950A CN 118886912 B CN118886912 B CN 118886912B
- Authority
- CN
- China
- Prior art keywords
- freight
- driver
- platform
- owner
- advance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4016—Transaction verification involving fraud or risk level assessment in transaction processing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/403—Solvency checks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Computer Security & Cryptography (AREA)
- Economics (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention discloses a system and a method for taking freight charges in advance by a network freight platform driver based on risk assessment, which relate to the technical field of taking freight charges by the network freight platform and comprise a data collection module, a data processing module and a data processing module, wherein the data collection module is used for collecting historical transaction data, credit records and freight transportation completion conditions of the driver, collecting the latest bill issuing conditions of a cargo owner and judging whether borrowing is allowed or not; the invention can accurately evaluate the borrowable amount of the driver and whether the owner can open the borrowing function of the driver or not by matching the risk evaluation module, the amount determination module, the fund payment module and other modules, thereby realizing the function of the driver for taking the freight in advance, improving the fund mobility of the driver and simultaneously ensuring the economic safety of a network freight platform.
Description
Technical Field
The invention relates to the technical field of charge collection of a network freight platform, in particular to a system and a method for collecting charge in advance by a network freight platform driver based on risk assessment.
Background
With the rapid development of network freight platforms, transactions between drivers and owners of freight have become increasingly convenient. However, the actual operating shippers pay the driver after the financial accounting, and the time interval may be even as long as one month. Such payment methods have a money transfer pressure for drivers, and particularly when faced with emergency or urgent money demands, it is often difficult for drivers to be supported by timely money. Accordingly, there is a need for a system and method for a network freight platform driver to pay in advance based on risk assessment to address the above-described issues.
Disclosure of Invention
The invention aims to provide a system and a method for taking freight charges in advance by a network freight platform driver based on risk assessment, so as to solve the problems in the prior art presented in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a network freight platform driver pre-pays freight rate system based on risk assessment, comprising:
The data collection module is used for collecting historical transaction data, credit records and goods transportation completion conditions of a driver, collecting the latest bill issuing conditions of a cargo owner and judging whether borrowing is allowed or not;
the risk assessment module is used for assessing the credit level of a driver and the risk of paying the freight in advance based on the collected data and carrying out risk assessment on the condition that a freight owner pays the freight in time;
the limit determining module is used for determining the highest limit of the shipping charge which can be paid in advance by a driver and whether the opposite shippers can open the function of pre-paying the shipping charge in advance according to the risk assessment result;
The application processing module is used for processing the advanced extraction application of the driver, checking the authenticity of application information and approving or rejecting the application within the limit range;
the fund payment module is used for paying the freight of the corresponding amount to the driver in advance after the application is approved;
the repayment module is used for deducting the freight paid in advance from the freight paid by the driver when the freight is transported, a receipt is uploaded, and the driver can initiatively repay the freight if the freight is not paid by the freight owner for a long time;
and the overdue wind control module is used for freezing the fund account of the cargo owner under the condition that the cargo owner does not pay the freight for a long time.
Preferably, the risk assessment module comprises a driver authentication assessment module and a cargo owner authentication assessment module.
Preferably, the driver authentication evaluation module includes the following:
Vehicle authentication, complete information of a driving license and a road transportation license;
Driver authentication, complete information of the driving license and the identity card;
The driver himself receives the money situation authentication;
The collection account cannot be bound by multiple vehicles;
The frequency stability certification of the driver carrying the freight bill;
the driver carries the number of the transportation to meet the requirement;
and calculating the borrowable amount of the driver according to the accumulated quantity of the carrying bill and the corresponding freight charges of the driver on the platform.
Preferably, the owner authentication evaluation module includes the following:
the operation time of the cargo owner on the platform;
the goods owner accumulates the payment sum on the platform;
according to the number of the bills sent by the drivers on the platform by the owners and the corresponding freight charges, calculating an evaluation value of the function of opening the borrowing of the drivers by the owners, and judging whether the function of opening the borrowing of the drivers according to the evaluation value.
Preferably, the calculation formula of the borrowable amount of the driver is:
borrowable amount= (number of accumulated shipping slips x average freight rate x mileage of transportation track x credit score coefficient)/borrowing risk coefficient x number of accumulated transportation mileage x number of accumulated compliance freight.
Preferably, the calculation formula of the evaluation value of the driver borrowing function is that:
the owner opens the assessment value of the driver borrowing function = (historical transaction total x transaction frequency coefficient x owner credit score) + (co-operative with driver history score x co-operative stability coefficient) -potential risk factor
The platform may set a threshold value that the owner may enable the driver borrowing feature if the owner enables the driver borrowing feature evaluation value exceeds the threshold value, which may be determined based on the platform's policy and market environment.
Preferably, the overdue wind control module includes the following:
informing a driver of repayment, and repaying the transport fees which are paid in advance to the platform by the driver;
if the expiration exceeds the specified period, the account of the owner on the platform is frozen until the freight is paid.
A method for a network freight platform driver to pay freight in advance based on risk assessment comprises the following steps:
s1, automatically judging whether a driver and a cargo owner have qualification of taking freight charges in advance through a data collection module, giving a limit, and communicating financial account period time with the cargo owner to judge the overdue condition of freight charges;
S2, a driver initiates an application of taking freight in advance, which comprises cash taking and oil card taking, wherein the cash taking freight requires paying service fees, and the platform carries out auditing, and after the auditing passes, the freight paying is carried out according to the application of the driver;
S3, for the freight charges about to be overdue, the system reminds the freight owner of paying the freight charges and reminds the driver of actively paying, otherwise, the freight owner and the driver are both pulled into a blacklist, the function of taking the freight charges in advance cannot be used, and the fund account of the freight owner platform is frozen;
S4, the freight charge which is paid by the driver in advance is paid by two repayment modes, one repayment mode is that the freight charge is paid for a cargo owner, after the platform deducts the amount paid in advance from the paid freight charge, the rest of payment is paid to the driver, the other repayment mode is that the driver initiatively repayment is carried out, the repayment application is required to be initiated by the driver, the repayment mode is carried out to a designated account of the platform, and the platform can automatically cancel the payment freight charge data.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through the cooperation of the risk assessment module, the credit determination module, the fund payment module and other modules, the borrowable credit of the driver and whether the owner can open the borrowing function of the driver can be accurately assessed, so that the function that the driver can pay freight in advance is realized, the fund mobility of the driver is improved, and meanwhile, the economic safety of the network freight platform is ensured.
2. The invention can track the payment condition of the goods owner and the repayment condition of the driver through the arrangement of the overdue wind control module, realizes the payment reminding function of the goods owner and the driver, and whether to deactivate the borrowing function of the driver of the goods owner and the advance picking function of the driver, thereby further ensuring the safety of the network freight platform.
Drawings
FIG. 1 is a flow chart of the invention for the driver to pay the freight in advance.
FIG. 2 shows the expiration of the freight rate according to the present invention unpaid platform flow chart.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Referring to fig. 1 to 2, the present invention provides the following technical solutions:
a network freight platform driver pre-pays freight rate system based on risk assessment, comprising:
(1) And the data collection module is used for collecting historical transaction data, credit records and goods transportation completion conditions of a driver, collecting the latest bill issuing conditions of a cargo owner and judging whether borrowing is allowed or not.
(2) And the risk assessment module is used for assessing the credit level of the driver and the risk of taking freight in advance based on the collected data and carrying out risk assessment on the condition that the freight owner pays freight in time, and comprises a driver authentication assessment module and a freight owner authentication assessment module.
The driver authentication evaluation module comprises the following contents:
Vehicle authentication, complete information of a driving license and a road transportation license;
Driver authentication, complete information of the driving license and the identity card;
The driver's own collection condition authentication, if the latest 3 accounts are all collected by the driver's own, the name of the payee is consistent with the name of the driver;
The collection account cannot be bound by multiple vehicles;
the frequency stability certification of the driver carrying bill, such as the frequency stability of the driver carrying bill of the last 1 month, the floating up and down is not more than 20%;
The driver's carrying bill meets the requirement, such as more than 5 bill of the last 10 months driver's carrying bill;
and calculating the borrowable amount of the driver according to the accumulated quantity of the carrying bill and the corresponding freight charges of the driver on the platform.
The owner authentication evaluation module comprises the following contents:
the operation duration of the cargo owner on the platform, such as whether the cargo owner stably operates for more than one month on the platform;
the owner accumulates the total payment amount on the platform, such as whether the owner has accumulated more than 10 ten thousand yuan on the platform;
according to the number of the bills sent by the drivers on the platform by the owners and the corresponding freight charges, calculating an evaluation value of the function of opening the borrowing of the drivers by the owners, and judging whether the function of opening the borrowing of the drivers according to the evaluation value.
(3) And the limit determining module is used for determining the highest limit of the premiums of the drivers and whether the opposite owners can open the function of premiums of the opposite owners according to the risk assessment result.
The calculation formula of the borrowable amount of the driver is as follows:
borrowable amount= (number of accumulated shipping slips x average shipping cost x mileage of shipping track x credit score coefficient)/borrowing risk coefficient x number of accumulated shipping mileage x number of accumulated compliance shipping slips
Wherein:
The accumulated number of the carrying bill can be set as the total number of the carrying bill accumulated and carried on the platform by the latest three month drivers;
Average freight rate, the average freight rate of all the freight notes of the driver can be calculated by dividing the total freight rate by the freight note quantity;
The method comprises the following steps of acquiring GPS coordinates and running speed of a vehicle every 5 minutes according to JT808 protocol, and storing coordinate information in a coordinate data server, wherein the GPS terminal equipment supports the protocol according to JT808 protocol, namely technical requirements and test method of a traffic vehicle satellite positioning system terminal:
GPS positioning terminal- > platform coordinate data server- > coordinate track queue- > platform data
And analyzing the acquired coordinate information into a visual map, and calculating the distance between each GPS coordinate point to obtain the transportation track distance corresponding to the waybill.
Credit score coefficient-coefficient determined from the credit score of the driver. The higher the credit score, the greater the coefficient, indicating the better the driver credit, the lower the risk of borrowing.
The borrowing risk coefficient is a fixed coefficient used for adjusting the borrowable amount to reflect the evaluation of the borrowing risk by the platform, and the coefficient can be adjusted according to the policy and the market environment of the platform.
And accumulating the mileage number of the transportation, namely accumulating the mileage number of the bill carried by the driver, and reflecting the accumulated transportation mileage of the driver in the platform.
And accumulating the number of the compliance freight bill, namely reporting the freight bill data to a province platform based on the network freight policy, wherein the province platform can carry out authenticity verification on the freight bill, so that the authenticity of the freight bill carried by a driver is reflected.
The data ensure the authenticity of freight transportation, and when transportation disputes occur, the platform can provide a complete and real manifest evidence chain, can clearly determine responsible parties, avoid the platform from being in legal disputes and also can ensure legal rights and interests of owners and drivers of goods.
The calculation formula of the driver borrowing function evaluation value is that:
the owner opens the assessment value of the driver borrowing function = (historical transaction total x transaction frequency coefficient x owner credit score) + (co-operative with driver history score x co-operative stability coefficient) -potential risk factor
Wherein:
historical transaction amount-the historical transaction amount of the owner on the platform, which may reflect the owner's transaction size and liveness.
The trade frequency coefficient is a coefficient determined according to the trade frequency of the cargo owner, and the higher the trade frequency is, the larger the coefficient is, and the higher the trade activity of the cargo owner is.
Owner credit score-owner credit score on the platform, which may reflect owner reputation and reliability.
And the cooperation history score between the cargo owner and the driver, which can be comprehensively evaluated based on factors such as the cooperation times, the cooperation duration, the cooperation satisfaction degree and the like.
And the cooperation stability coefficient is a coefficient determined according to the stability of the cooperation history of the cargo owner and the driver, and the more stable the cooperation is, the larger the coefficient is, and the more reliable the cooperation relationship between the cargo owner and the driver is represented.
The potential risk factor is a factor for adjusting the evaluation value, is determined according to the evaluation of the potential risk of the cargo owner by the platform, and can be a negative number for reducing the evaluation value so as to reflect the influence of the potential risk on the borrowing function.
The platform may set a threshold value that the owner may enable the driver borrowing feature if the owner enables the driver borrowing feature evaluation value exceeds the threshold value, which may be determined based on the platform's policy and market environment.
(4) And the application processing module is used for processing the pre-fetch application of the driver, checking the authenticity of the application information and approving or rejecting the application within the limit range.
(5) The fund payment module is used for paying the freight of the corresponding amount to the driver in advance after the application is approved;
And the repayment module is used for deducting the freight paid in advance from the freight paid by the driver when the freight is transported, the receipt is uploaded, and the driver can initiatively repay the freight if the freight is not paid by the freight owner for a long time.
(6) And the overdue wind control module is used for freezing the fund account of the cargo owner under the condition that the cargo owner does not pay the freight for a long time.
The overdue wind control module comprises the following contents:
informing a driver of repayment, and repaying the transport fees which are paid in advance to the platform by the driver;
if the expiration exceeds the specified period, the account of the owner on the platform is frozen until the freight is paid.
The invention also provides a method for the network freight platform driver to pay freight in advance based on risk assessment, which comprises the following steps:
s1, automatically judging whether a driver and a cargo owner have qualification of taking freight charges in advance through a data collection module, giving a limit, and communicating financial account period time with the cargo owner to judge the overdue condition of freight charges;
S2, a driver initiates an application of taking freight in advance, which comprises cash taking and oil card taking, wherein the cash taking freight requires paying service fees, and the platform carries out auditing, and after the auditing passes, the freight paying is carried out according to the application of the driver;
S3, for the freight charges about to be overdue, the system reminds the freight owner of paying the freight charges and reminds the driver of actively paying, otherwise, the freight owner and the driver are both pulled into a blacklist, the function of taking the freight charges in advance cannot be used, and the fund account of the freight owner platform is frozen;
S4, the freight charge which is paid by the driver in advance is paid by two repayment modes, one repayment mode is that the freight charge is paid for a cargo owner, after the platform deducts the amount paid in advance from the paid freight charge, the rest of payment is paid to the driver, the other repayment mode is that the driver initiatively repayment is carried out, the repayment application is required to be initiated by the driver, the repayment mode is carried out to a designated account of the platform, and the platform can automatically cancel the payment freight charge data.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a network freight platform driver draws freight system in advance based on risk assessment which characterized in that includes:
The data collection module is used for collecting historical transaction data, credit records and goods transportation completion conditions of a driver, collecting the latest bill issuing conditions of a cargo owner and judging whether borrowing is allowed or not;
the risk assessment module is used for assessing the credit level of a driver and the risk of paying the freight in advance based on the collected data and carrying out risk assessment on the condition that a freight owner pays the freight in time;
the limit determining module is used for determining the highest limit of the shipping charge which can be paid in advance by a driver and whether the opposite shippers can open the function of pre-paying the shipping charge in advance according to the risk assessment result;
The application processing module is used for processing the advanced extraction application of the driver, checking the authenticity of application information and approving or rejecting the application within the limit range;
the fund payment module is used for paying the freight of the corresponding amount to the driver in advance after the application is approved;
the repayment module is used for deducting the freight paid in advance from the freight paid by the driver when the freight is transported, a receipt is uploaded, and the driver can initiatively repay the freight if the freight is not paid by the freight owner for a long time;
and the overdue wind control module is used for freezing the fund account of the cargo owner under the condition that the cargo owner does not pay the freight for a long time.
2. The risk assessment-based network freight platform driver advance payment system of claim 1, wherein the risk assessment module comprises a driver certification assessment module and a owner certification assessment module.
3. The risk assessment-based network freight platform driver advance payment system of claim 2, wherein the driver authentication assessment module comprises:
Vehicle authentication, complete information of a driving license and a road transportation license;
Driver authentication, complete information of the driving license and the identity card;
The driver himself receives the money situation authentication;
The collection account cannot be bound by multiple vehicles;
The frequency stability certification of the driver carrying the freight bill;
the driver carries the number of the transportation to meet the requirement;
and calculating the borrowable amount of the driver according to the accumulated quantity of the carrying bill and the corresponding freight charges of the driver on the platform.
4. The risk assessment based network freight platform driver advance payment system of claim 2, wherein the owner certification assessment module comprises:
the operation time of the cargo owner on the platform;
the goods owner accumulates the payment sum on the platform;
according to the number of the bills sent by the drivers on the platform by the owners and the corresponding freight charges, calculating an evaluation value of the function of opening the borrowing of the drivers by the owners, and judging whether the function of opening the borrowing of the drivers according to the evaluation value.
5. The risk assessment-based network freight platform driver advance payment system as set forth in claim 3, wherein the driver borrowable amount is calculated as:
borrowable amount= (number of accumulated shipping slips x average freight rate x mileage of transportation track x credit score coefficient)/borrowing risk coefficient x number of accumulated transportation mileage x number of accumulated compliance freight.
6. The risk assessment-based network freight platform driver advance payment system as set forth in claim 4, wherein the calculation formula of the owner-on driver borrowing function assessment value is:
the owner opens the assessment value of the driver borrowing function = (historical transaction total x transaction frequency coefficient x owner credit score) + (co-operative with driver history score x co-operative stability coefficient) -potential risk factor
The platform may set a threshold value that the owner may enable the driver borrowing feature if the owner enables the driver borrowing feature evaluation value exceeds the threshold value, which may be determined based on the platform's policy and market environment.
7. The risk assessment based network freight platform driver advance payment system of claim 1, wherein the overdue wind control module comprises the following:
informing a driver of repayment, and repaying the transport fees which are paid in advance to the platform by the driver;
if the expiration exceeds the specified period, the account of the owner on the platform is frozen until the freight is paid.
8. A method for a network freight platform driver to pay ahead of time for a freight system based on risk assessment according to any one of claims 1-7, comprising the steps of:
s1, automatically judging whether a driver and a cargo owner have qualification of taking freight charges in advance through a data collection module, giving a limit, and communicating financial account period time with the cargo owner to judge the overdue condition of freight charges;
S2, a driver initiates an application of taking freight in advance, which comprises cash taking and oil card taking, wherein the cash taking freight requires paying service fees, and the platform carries out auditing, and after the auditing passes, the freight paying is carried out according to the application of the driver;
S3, for the freight charges about to be overdue, the system reminds the freight owner of paying the freight charges and reminds the driver of actively paying, otherwise, the freight owner and the driver are both pulled into a blacklist, the function of taking the freight charges in advance cannot be used, and the fund account of the freight owner platform is frozen;
S4, the freight charge which is paid by the driver in advance is paid by two repayment modes, one repayment mode is that the freight charge is paid for a cargo owner, after the platform deducts the amount paid in advance from the paid freight charge, the rest of payment is paid to the driver, the other repayment mode is that the driver initiatively repayment is carried out, the repayment application is required to be initiated by the driver, the repayment mode is carried out to a designated account of the platform, and the platform can automatically cancel the payment freight charge data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410988950.3A CN118886912B (en) | 2024-07-23 | 2024-07-23 | System and method for drivers of online freight platforms to withdraw freight in advance based on risk assessment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410988950.3A CN118886912B (en) | 2024-07-23 | 2024-07-23 | System and method for drivers of online freight platforms to withdraw freight in advance based on risk assessment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118886912A CN118886912A (en) | 2024-11-01 |
| CN118886912B true CN118886912B (en) | 2025-10-10 |
Family
ID=93225728
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410988950.3A Active CN118886912B (en) | 2024-07-23 | 2024-07-23 | System and method for drivers of online freight platforms to withdraw freight in advance based on risk assessment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118886912B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103606070A (en) * | 2013-10-22 | 2014-02-26 | 惠龙港国际钢铁物流股份有限公司 | Centralized distribution and transportation system for on-site transaction goods based on event-driven |
| CN116523672A (en) * | 2023-04-24 | 2023-08-01 | 河南牛车科技有限责任公司 | A financial and taxation integration system for the bulk cargo transportation industry |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4479985B2 (en) * | 2001-12-28 | 2010-06-09 | キヤノンマーケティングジャパン株式会社 | Recruitment vehicle search server and program |
| CN113610459A (en) * | 2021-07-27 | 2021-11-05 | 江苏中交车旺科技有限公司 | Logistics line tariff settlement method and system based on supply chain fund service platform |
| CN116109305A (en) * | 2022-12-13 | 2023-05-12 | 安徽共生众服供应链技术研究院有限公司 | Network freight aggregation payment method |
| CN116883005B (en) * | 2023-07-26 | 2025-01-07 | 安徽共生众服供应链技术研究院有限公司 | Method for early warning and controlling network freight charge pad payment abnormality |
-
2024
- 2024-07-23 CN CN202410988950.3A patent/CN118886912B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103606070A (en) * | 2013-10-22 | 2014-02-26 | 惠龙港国际钢铁物流股份有限公司 | Centralized distribution and transportation system for on-site transaction goods based on event-driven |
| CN116523672A (en) * | 2023-04-24 | 2023-08-01 | 河南牛车科技有限责任公司 | A financial and taxation integration system for the bulk cargo transportation industry |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118886912A (en) | 2024-11-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8204766B2 (en) | Insurance claim payment card system | |
| US9715703B2 (en) | System, method and computer readable medium for billing based on a duration of service period | |
| US20100191674A1 (en) | Method and System for Assessment, Collection, and Disbursement of Funds Related to Motor Vehicles | |
| CN109064312A (en) | A kind of loan for vehicle risk control method, electronic device and storage medium | |
| US10580088B2 (en) | Vehicle travel monitoring and payment systems and methods | |
| US20100332363A1 (en) | Payment cards and fuel cards | |
| US20140188579A1 (en) | Electronic Toll and Weigh Station Bypass Systems | |
| US20230012594A1 (en) | Automated insurer insured interactions | |
| US20080270226A1 (en) | Electronic toll collection and rental vehicles | |
| JP6689782B2 (en) | System and method for providing, reloading, and converting stored value cards for use in transit applications | |
| CN106846153A (en) | A kind of vehicle insurance compensates method and system | |
| CN111105512B (en) | Truck ETC lane service data processing method, equipment and storage medium | |
| CN109272589A (en) | The vehicle fast passing charging method with multiple benefits based on credit system | |
| CN114445062A (en) | Vehicle charging method and system based on Unionpay platform and storage medium | |
| CN117670514A (en) | User credit auditing method, device, equipment and storage medium | |
| CN118886912B (en) | System and method for drivers of online freight platforms to withdraw freight in advance based on risk assessment | |
| US20160140533A1 (en) | System and Method for Assessing and Collecting Taxes for Motor Vehicle Fuel at the Point of Sale | |
| CN112419049A (en) | Quota determining method and device | |
| KR100750684B1 (en) | Vehicle oil price subsidy management method and system | |
| CN109523370A (en) | A kind of waybill loan transaction processing method, apparatus and system | |
| KR20170040407A (en) | Method for Operating Fuel Payment of Fuel Price Subsidies by using RF Tag | |
| CN105956919A (en) | Business data application evaluation method and device | |
| KR20230160761A (en) | How to acquire mileage | |
| EP2355046A1 (en) | Electronic toll payment system and method | |
| KR20090001763A (en) | Toll road payment service method using bank account |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |