CN116894720A - Funds scheduling method, device, equipment and medium for credit sponsor - Google Patents
Funds scheduling method, device, equipment and medium for credit sponsor Download PDFInfo
- Publication number
- CN116894720A CN116894720A CN202310742941.1A CN202310742941A CN116894720A CN 116894720 A CN116894720 A CN 116894720A CN 202310742941 A CN202310742941 A CN 202310742941A CN 116894720 A CN116894720 A CN 116894720A
- Authority
- CN
- China
- Prior art keywords
- current
- sponsor
- scheduling
- data
- fund
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000012423 maintenance Methods 0.000 claims abstract description 13
- 238000007599 discharging Methods 0.000 claims description 43
- 238000004590 computer program Methods 0.000 claims description 26
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 3
- 230000002354 daily effect Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 4
- 238000002844 melting Methods 0.000 description 4
- 230000008018 melting Effects 0.000 description 4
- 238000012797 qualification Methods 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Finance (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Technology Law (AREA)
- Data Mining & Analysis (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a fund scheduling method, a device, equipment and a medium for credit sponsors, wherein the scheduling method comprises the following steps: calculating the maximum current date deposit amount, the minimum current date deposit amount and the average current date deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; constructing and generating current tariff schedule basic data according to the current tariff schedule configuration data; if the current sponsor is a non-trusted sponsor, taking the maximum deposit amount of the current date as the real-time maximum deposit amount and taking the minimum deposit amount of the current date as the real-time minimum deposit amount; summarizing the data to generate real-time scheduling result data of the current sponsor; and calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors. By the technical scheme, the problems of complex operation, easy error and high labor cost during manual data maintenance of the existing credit platform can be solved.
Description
Technical Field
The invention relates to the technical field of credit platforms, in particular to a fund scheduling method, a fund scheduling device, equipment and a medium of a credit sponsor.
Background
As a credit platform, the borrowing of the user is routed to the sponsor for paying, and the core capability of the platform is realized. However, due to different cooperation modes of different sponsors and different credit limits given to the company, how to ensure that the user cannot fail due to insufficient credit limits of the sponsor when routing to the sponsor; meanwhile, when some payees who can pay money also have the payable amount, the user is not led to route the payable. These problems add difficulty to the payoff function of the credit platform.
At present, in the prior art, when the problem is solved, a professional is generally established, and the required arrangement amount of the current day is manually calculated according to parameters such as the previous day of the payment condition, the current month of the payment condition, the payment amount given by a sponsor, the current month of the payment condition and the like, and then whether the sponsor has the available position amount is judged according to the current payment amount in the routing process. It can be seen that the personnel maintenance work is cumbersome and has a number of disadvantages.
Disclosure of Invention
In order to solve the technical problems, the invention provides a fund scheduling method, a fund scheduling device, equipment and a medium for a credit sponsor, wherein the scheduling method is used for solving the problems of complex operation, easy error and high labor cost when the existing credit platform manually maintains data.
To achieve the above object, the present invention provides a funds scheduling method for credit sponsors, comprising:
calculating the maximum current date deposit amount, the minimum current date deposit amount and the average current date deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current fund release dimension statistical data, the current fund return dimension statistical data and the current fund basic data are matched with the fund data of the fused load guarantee company corresponding to the current fund, and the corresponding fused load guarantee company is used for carrying out guarantee release on the current fund;
inquiring real-time scheduling configuration data of a credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
Judging whether the current party is a trusted party or not; if the current date maximum deposit amount is not the trusted party, the current date maximum deposit amount is used as the real-time maximum deposit amount of the current party, and the current date minimum deposit amount is used as the real-time minimum deposit amount of the current party;
generating real-time scheduling result data of the current sponsor according to the current sponsor scheduling basic data, the real-time maximum payoff amount and the real-time minimum payoff amount;
and calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
Further, determining whether the current sponsor is a trusted sponsor specifically includes:
if the current party is a non-trusted party, calculating the real-time maximum payment amount of the current party according to the trusted balance, the current day paid amount and the business confirmed error amount queried by the interface of the current party; and calculating the real-time minimum payout of the current party according to the maximum payout of the current date of the current party.
Further, invoking a scheduling policy, and generating all sponsor scheduling result data according to the sponsor real-time scheduling result data of all sponsors, which specifically includes:
Checking whether a sponsor in the scheduling strategy has a missed scheduling sponsor;
when the missed discharging sponsor exists, performing bottom calculation according to the minimum deposit amount, the maximum deposit amount and the maximum deposit amount limit of the missed discharging sponsor, and generating the bottom amount of the missed discharging sponsor as real-time scheduling result data of the missed discharging sponsor.
Further, invoking a scheduling policy, and generating all sponsor scheduling result data according to the sponsor real-time scheduling result data of all sponsors, which specifically includes:
and when the missed discharging sponsor exists, generating missed discharging alarm information.
Further, the scheduling method further includes:
acquiring the current fund side fund dimension statistical data according to the current fund side fund situation data; wherein the current tariff dimension statistics include at least one of: the money amount paid in the month, the money paying success rate of nearly seven days, the yesterday money paying success rate and the money paying proportion of each product.
Further, the scheduling method further includes:
acquiring the current fund return dimension statistical data according to the current fund return condition data; wherein the current tariff dimension statistics include at least one of: the amount returned in this month, the amount to be returned in the credit amount in this month, and the amount to be returned in the fund of the sponsor.
Further, the scheduling method further includes:
acquiring basic data of the current sponsor according to the manual input maintenance data of the sponsor of the current sponsor; wherein the current tariff dimension statistics include at least one of: the balance of the fund is melted and the fund of the next month is melted and held on the balance of the credit, and the fund is melted and held on the balance of the day.
The invention also provides a fund scheduling device of the credit sponsor, which is used for realizing the fund scheduling method of the credit sponsor, and the fund scheduling device comprises the following steps:
a current date fund arrangement calculating unit for:
calculating the maximum current date deposit amount, the minimum current date deposit amount and the average current date deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current fund release dimension statistical data, the current fund return dimension statistical data and the current fund basic data are matched with the fund data of the fused load guarantee company corresponding to the current fund, and the corresponding fused load guarantee company is used for carrying out guarantee release on the current fund;
The current tariff schedule basic data construction unit is used for:
inquiring real-time scheduling configuration data of a credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
a trusted party judgment unit for:
judging whether the current party is a trusted party or not; if the current date maximum deposit amount is not the trusted party, the current date maximum deposit amount is used as the real-time maximum deposit amount of the current party, and the current date minimum deposit amount is used as the real-time minimum deposit amount of the current party;
the current sponsor real-time scheduling result data generating unit is used for:
generating real-time scheduling result data of the current sponsor according to the current sponsor scheduling basic data, the real-time maximum payoff amount and the real-time minimum payoff amount;
all sponsor scheduling result data generating unit for:
and calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
The invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
Calculating the maximum current date deposit amount, the minimum current date deposit amount and the average current date deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current fund release dimension statistical data, the current fund return dimension statistical data and the current fund basic data are matched with the fund data of the fused load guarantee company corresponding to the current fund, and the corresponding fused load guarantee company is used for carrying out guarantee release on the current fund;
inquiring real-time scheduling configuration data of a credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
judging whether the current party is a trusted party or not; if the current date maximum deposit amount is not the trusted party, the current date maximum deposit amount is used as the real-time maximum deposit amount of the current party, and the current date minimum deposit amount is used as the real-time minimum deposit amount of the current party;
generating real-time scheduling result data of the current sponsor according to the current sponsor scheduling basic data, the real-time maximum payoff amount and the real-time minimum payoff amount;
And calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
The present invention further provides a computer readable storage medium storing a computer program which when executed by a processor performs the steps of:
calculating the maximum current date deposit amount, the minimum current date deposit amount and the average current date deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current fund release dimension statistical data, the current fund return dimension statistical data and the current fund basic data are matched with the fund data of the fused load guarantee company corresponding to the current fund, and the corresponding fused load guarantee company is used for carrying out guarantee release on the current fund;
inquiring real-time scheduling configuration data of a credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
judging whether the current party is a trusted party or not; if the current date maximum deposit amount is not the trusted party, the current date maximum deposit amount is used as the real-time maximum deposit amount of the current party, and the current date minimum deposit amount is used as the real-time minimum deposit amount of the current party;
Generating real-time scheduling result data of the current sponsor according to the current sponsor scheduling basic data, the real-time maximum payoff amount and the real-time minimum payoff amount;
and calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
Compared with the prior art, the technical scheme provided by the invention has the following technical effects:
in the invention, in order to avoid manually maintaining fund data in a credit platform by personnel, the real-time scheduling result data of the sponsor of the current sponsor is calculated firstly, and then the real-time scheduling result data of the sponsor of all the sponsors are summarized according to a scheduling strategy, so that the scheduling result data of all the sponsors is generated, and the real-time configuration center is convenient to use in paying;
specifically, firstly, respectively acquiring current fund release dimension statistical data, current fund return dimension statistical data and current fund basic data; calculating the maximum deposit amount of the current date, the minimum deposit amount of the current date and the daily deposit amount of the current date corresponding to the current sponsor based on the maximum deposit amount of the current date and the minimum deposit amount of the current date;
the method comprises the steps that a current party is provided with a corresponding fused load guarantee company, and the fused load guarantee company can conduct guarantee and release for the current party;
When the current party is not a trusted party, the real-time maximum payoff amount of the current party=the current date maximum payoff amount, and the real-time minimum payoff amount of the current party=the current date minimum payoff amount;
then, generating the real-time scheduling result data of the current sponsor according to the real-time maximum payoff amount, the real-time minimum payoff amount and the current sponsor scheduling basic data;
the current tariff schedule base data may include the following information: a current tariff date, a current tariff fund plan name, a current tariff fund plan code;
finally, summarizing the real-time scheduling result data of all the sponsors, thereby generating the scheduling result data of all the sponsors;
therefore, by the fund scheduling method of the credit sponsor, real-time scheduling data can be rapidly acquired, the problem of complex operation during manual calculation of the amount of money is effectively solved, the current day scheduling result of each sponsor is automatically calculated, and data transparency is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for funds scheduling for credit-sponsors in accordance with one embodiment of the invention;
FIG. 2 is a schematic overall flow diagram of a funds scheduling method in accordance with an embodiment of the invention;
FIG. 3 is a block diagram of a funds scheduling apparatus for credit-sponsors in accordance with a second embodiment of the invention;
fig. 4 is an internal structure diagram of a computer device in the second embodiment of the present invention.
Detailed Description
In the prior art, when personnel manually maintain data and ensure the paying-off function of a credit platform, the manual maintenance work is complicated and has a plurality of defects, and the method comprises the following steps of:
1. the labor cost is high: the calculation and maintenance of professional personnel are needed, so that the labor cost is increased;
2. calculation is prone to error: the manual calculation is inevitably omitted and has errors;
3. the flow is not monitorable: the manually calculated data are all calculated in the local Excel, so that the monitoring of an intermediate flow is difficult to realize, and errors in any link can affect the paying-off;
4. the data is hard to be transparent: in the calculation process, the required parameters and the produced data are local, and other business personnel need to check the parameters and the produced data in a troublesome manner.
To this end, the present invention provides a funds scheduling method, a scheduling device, an apparatus and a medium for credit sponsors to solve the above-mentioned problems.
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
as shown in fig. 1, an embodiment of the present invention provides a funds scheduling method for a credit sponsor, including:
s4, calculating the maximum current date deposit amount, the minimum current date deposit amount and the daily uniform deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current sponsor paying dimension statistical data, the current sponsor paying dimension statistical data and the current sponsor basic data are matched with the fund data of the fused guarantee company corresponding to the current sponsor, and the corresponding fused guarantee company is used for carrying out guarantee paying on the current sponsor;
S51, inquiring real-time scheduling configuration data of the credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
s52, judging whether the current party is a trusted party; if the current date maximum deposit amount is not the trusted party, taking the current date maximum deposit amount as the real-time maximum deposit amount of the current party, and taking the current date minimum deposit amount as the real-time minimum deposit amount of the current party;
s53, generating real-time scheduling result data of the current sponsor according to the basic data of the current sponsor scheduling, the real-time maximum payoff amount and the real-time minimum payoff amount;
s6, calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
In a specific embodiment, in order to avoid manually maintaining fund data in a credit platform by personnel, calculating real-time scheduling result data of the sponsors of the current sponsor, and then summarizing the real-time scheduling result data of the sponsors of all the sponsors according to a scheduling policy, so as to generate the scheduling result data of all the sponsors, so that the real-time configuration center is convenient to use in paying;
Specifically, firstly, respectively acquiring current fund release dimension statistical data, current fund return dimension statistical data and current fund basic data; calculating the maximum deposit amount of the current date, the minimum deposit amount of the current date and the daily deposit amount of the current date corresponding to the current sponsor based on the maximum deposit amount of the current date and the minimum deposit amount of the current date;
the method comprises the steps that a current party is provided with a corresponding fused load guarantee company, and the fused load guarantee company can conduct guarantee and release for the current party;
when the current party is not a trusted party, the real-time maximum payoff amount of the current party=the current date maximum payoff amount, and the real-time minimum payoff amount of the current party=the current date minimum payoff amount;
then, generating the real-time scheduling result data of the current sponsor according to the real-time maximum payoff amount, the real-time minimum payoff amount and the current sponsor scheduling basic data;
the current tariff schedule base data may include the following information: a current tariff date, a current tariff fund plan name, a current tariff fund plan code;
finally, summarizing the real-time scheduling result data of all the sponsors, thereby generating the scheduling result data of all the sponsors;
therefore, by the fund scheduling method of the credit sponsor, real-time scheduling data can be rapidly acquired, the problem of complex operation during manual calculation of the amount of money is effectively solved, the current day scheduling result of each sponsor is automatically calculated, and data transparency is realized.
As shown in fig. 2, in a practical embodiment, the credit platform system may run management data through a running number program and a wiener system, and the main flow is as follows:
and (3) a process of paying statistics:
running number programs are uniformly deployed on a dataphin platform (namely an intelligent data engine platform), and various data are stored on the platform. After the running number program obtains the paying-off data, the data of the paying-off dimension can be counted according to the condition of the sponsor.
And (3) a process of refund statistics:
after the running number program obtains the repayment data/repayment data, the repayment dimension data can be counted according to the condition of the sponsor.
The process of calculating the basic data of the sponsor:
some of the configuration data provided by business maintenance personnel, which typically varies according to month. The wiener system then calculates the sponsor base data from these data.
Calculating the maximum deposit amount, the minimum deposit amount and the daily average deposit amount in the real-time arrangement configuration of each sponsor:
average amount of money = amount to be paid of the sponsor/(number of days of the month-number of days before the current date (i.e. number of days elapsed))
Maximum payoff = min (max (a, B), qualification maximum payoff limit)
A represents: (available quota parameter of each party- > estimated maximum available quota of current month)/number of days remaining in current month
B represents: (available amount parameter of each party- > available amount of sponsor assembled) -sponsor earning the day on credit + sponsor earning the day refund (if available on the day refund)
Minimum deposit amount=min (business minimum deposit amount, daily deposit amount)
Wherein the sponsor-imposed available credit represents the asset id available credit.
The process of constructing real-time scheduling/calculating the scheduling data of each sponsor:
after the job running number is used, real-time scheduling configuration data are queried, the tariff scheduling configuration data in the data are traversed, tariff scheduling basic data such as scheduling date, fund plan name, fund plan code and the like are constructed, and whether the tariff is a trusted tariff is judged.
If the trusted party is the trusted party, calculating:
real-time maximum payoff = trusted balance queried through interface + amount paid off on the day-amount of business confirmed error
Real-time minimum payoff = current date maximum payoff
If the current date is not the trusted party, directly acquiring the maximum deposit amount/the minimum deposit amount of the current date in the real-time scheduling configuration to serve as the real-time maximum deposit amount/the real-time minimum deposit amount of the current party.
After the basic data is built, calling a scheduling strategy and obtaining scheduling result data of all the sponsors, and checking whether the sponsors in the strategy have missed scheduling sponsors after the result is obtained; and if the missed discharging party exists, alarming.
And after storing all the tariff scheduling result data corresponding to all the tariffs, pushing the data to a cash release engine in a conclus (namely a real-time configuration center) for use in cash release.
In a preferred embodiment, the determining whether the current party is a trusted party specifically includes:
if the current sponsor is a non-trusted sponsor, calculating the real-time maximum amplified money of the current sponsor according to the trusted balance, the current-day paid money amount and the business confirmed error amount inquired by the interface of the current sponsor; and calculating the real-time minimum payoff amount of the current sponsor according to the maximum payoff amount of the current date of the current sponsor.
In a practical embodiment, when calculating the tariff schedule data, if the tariff is determined to be a trusted tariff, then the following steps are performed:
real-time maximum payoff = trusted balance queried through interface + amount paid off on the day-amount of business confirmed error
Real-time minimum payoff = current date maximum payoff
In a preferred embodiment, invoking the scheduling policy and generating all sponsor scheduling result data according to the sponsor real-time scheduling result data of all sponsors specifically includes:
checking whether a sponsor in the scheduling strategy has a missed scheduling sponsor;
when the missed discharging fund exists, calculating the bottom of the blank according to the minimum deposit amount, the maximum deposit amount and the maximum deposit amount limit of the missed discharging fund, and generating the bottom-blank amount of the missed discharging fund as real-time discharging result data of the missed discharging fund.
In a preferred embodiment, invoking the scheduling policy and generating all sponsor scheduling result data according to the sponsor real-time scheduling result data of all sponsors specifically includes:
and when the missed discharging sponsor exists, generating missed discharging alarm information.
In an actual embodiment, after the basic data is built, scheduling strategies are called and scheduling result data of all sponsors are obtained; after the result is obtained, checking whether the sponsor in the strategy has a missed-discharge sponsor; and if the missed discharging party exists, alarming.
Meanwhile, the drain-source side is subjected to bottom-covering, and the bottom-covering is used as real-time scheduling result data of the drain-source side; the bottom formula is:
bottom amount = min (minimum deposit amount, maximum deposit amount limit)
Therefore, by the fund scheduling method of the credit sponsor, the flow can be monitored, and the rapid alarm can be realized when a problem occurs; by monitoring the whole process, the credit system is more stable.
In a preferred embodiment, the scheduling method further comprises:
s1, acquiring current sponsor paying dimension statistical data according to the paying condition data of the current sponsor; wherein the current sponsor payoff dimension statistics include at least one of: the money amount paid in the month, the money paying success rate of nearly seven days, the yesterday money paying success rate and the money paying proportion of each product.
In an actual embodiment, the payment statistics process specifically includes:
running number programs are uniformly deployed on a dataphin platform (namely an intelligent data engine platform), and various data are stored on the platform. After the running number program obtains the paying-off data, the paying-off dimension data can be counted according to the condition of the sponsor, which comprises the following steps:
the amount of money paid out in this month=sum (the amount of money paid out successfully every day in this month)
Success rate of money release = sum (successful money release per day of the month)/sum (total money release per day of the month)
Near seven day deposit success rate = sum (near seven days deposit success amount per day)/sum (near seven days deposit total amount per day)
Yesterday deposit success rate = sum (yesterday deposit success amount)/sum (yesterday deposit total amount)
Each product pay-out ratio=sum (each product pay-out success amount per day per month)/sum (each product pay-out success amount per day per month)
In a preferred embodiment, the scheduling method further comprises:
s2, acquiring current fund refund dimension statistical data according to the refund condition data of the current fund; wherein the current sponsor refund dimension statistics include at least one of: the amount returned in this month, the amount to be returned in the credit amount in this month, and the amount to be returned in the fund of the sponsor.
In an actual embodiment, the refund statistical process specifically includes:
After the running number program obtains the repayment data/repayment data, the repayment dimension data can be counted according to the condition of the sponsor, which comprises the following steps:
the returned amount of this month=sum (payment amount)
In this month, the credit amount=sum (amount to be paid)
The sponsor's amount to be paid with the amount of money=sum (amount to be paid with the amount of money)
When the amount of money to be returned by the sponsor's melting and taking charge is calculated, the same melting and taking company is accumulated according to the statistics of the sponsor.
In a preferred embodiment, the scheduling method further comprises:
s3, acquiring basic data of the current sponsor according to the manual input maintenance data of the sponsor of the current sponsor; wherein the current sponsor refund dimension statistics include at least one of: the balance of the fund is melted and the fund of the next month is melted and held on the balance of the credit, and the fund is melted and held on the balance of the day.
In an actual embodiment, the basic data flow of the computing sponsor specifically includes:
some of the configuration data provided by business maintenance personnel, which typically varies according to month. The wiener system then calculates the sponsor base data from these data, including:
the tariff balance = tariff until the previous day + the credited balance of the tariff; the fund has no fused charge, and is the lending amount of the fund;
The next month's fund in the credit amount = the current position of the fund in the credit amount + (the position of the fund in the month arrangement-the fund in the month) -the amount to be returned in the month in the fund
The party fused charge on the day of credit = the party fused charge on the day of the credit + the minimum payoff amount-the party fused charge on the day of the credit returns
To sum up, as shown in fig. 2, the fund scheduling method for credit sponsors provided by the embodiment of the present invention includes the following specific procedures:
1. security deposit for sponsors and fused liabilities
Because the business backgrounds of companies are different, when the users are paid, some users are insufficient in qualification, and the users need to be guaranteed by a guarantee company during the payment;
against the background of the business, business personnel can uniformly manage the sponsors who pay the money for the personnel, and corresponding guarantee companies are configured for the sponsors to conduct the guarantee money.
2. Pay-out statistics
Running number programs are uniformly deployed on a dataphin platform (namely an intelligent data engine platform), and various data are stored on the platform. After the running number program obtains the paying-off data, the paying-off dimension data can be counted according to the condition of the sponsor, which comprises the following steps:
the amount of money paid out in this month=sum (the amount of money paid out successfully every day in this month)
Success rate of money release = sum (successful money release per day of the month)/sum (total money release per day of the month)
Near seven day deposit success rate = sum (near seven days deposit success amount per day)/sum (near seven days deposit total amount per day)
Yesterday deposit success rate = sum (yesterday deposit success amount)/sum (yesterday deposit total amount)
Each product pay-out ratio=sum (each product pay-out success amount per day per month)/sum (each product pay-out success amount per day per month)
3. Refund statistics
After the running number program obtains the repayment data/repayment data, the repayment dimension data can be counted according to the condition of the sponsor, which comprises the following steps:
the returned amount of this month=sum (payment amount)
In this month, the credit amount=sum (amount to be paid)
The sponsor's amount to be paid with the amount of money=sum (amount to be paid with the amount of money)
When the amount of money to be returned by the sponsor's melting and taking charge is calculated, the same melting and taking company is accumulated according to the statistics of the sponsor.
4. Calculating basic data of a sponsor
Some of the configuration data provided by business maintenance personnel, which typically varies according to month. The wiener system then calculates the sponsor base data from these data, including:
the tariff balance = tariff until the previous day + the credited balance of the tariff; the fund has no fused charge, and is the lending amount of the fund;
the next month's fund in the credit amount = the current position of the fund in the credit amount + (the position of the fund in the month arrangement-the fund in the month) -the amount to be returned in the month in the fund
The party fused charge on the day of credit = the party fused charge on the day of the credit + the minimum payoff amount-the party fused charge on the day of the credit returns
5. Calculating the maximum and minimum payouts and daily average payouts
Average amount of money = amount to be paid of the sponsor/(number of days of the month-number of days before the current date (i.e. number of days elapsed))
Maximum payoff = min (max (a, B), qualification maximum payoff limit)
A represents: (available quota parameter of each party- > estimated maximum available quota of current month)/number of days remaining in current month
B represents: (available amount parameter of each party- > available amount of sponsor assembled) -sponsor earning the day on credit + sponsor earning the day refund (if available on the day refund)
Minimum deposit amount=min (business minimum deposit amount, daily deposit amount)
Wherein the sponsor-imposed available credit represents the asset id available credit.
6. Real-time scheduling calculation
After the job running number is used, real-time scheduling configuration data are queried, the tariff scheduling configuration data in the data are traversed, tariff scheduling basic data such as scheduling date, fund plan name, fund plan code and the like are constructed, and whether the tariff is a trusted tariff is judged.
If the trusted party is the trusted party, calculating:
real-time maximum payoff = trusted balance queried through interface + amount paid off on the day-amount of business confirmed error
Real-time minimum payoff = current date maximum payoff
If the current date is not the trusted party, directly acquiring the maximum deposit amount/the minimum deposit amount of the current date in the real-time scheduling configuration to serve as the real-time maximum deposit amount/the real-time minimum deposit amount of the current party.
After the basic data is built, calling a scheduling strategy and obtaining scheduling result data of all the sponsors, and checking whether the sponsors in the strategy have missed scheduling sponsors after the result is obtained; and if the missed discharging party exists, alarming.
Meanwhile, the drain-source side is subjected to bottom-covering, and the bottom-covering is used as real-time scheduling result data of the drain-source side; the bottom formula is:
bottom amount = min (minimum deposit amount, maximum deposit amount limit)
And after storing all the tariff scheduling result data corresponding to all the tariffs, pushing the data to a cash release engine in a conclus (namely a real-time configuration center) for use in cash release.
Thus, the funds scheduling method described above has the following advantages:
1) The advantage of the system can be fully utilized, and the error in the process of paying money can be reasonably controlled to be minimum;
2) The labor cost and the error probability of manual calculation can be reduced;
3) The whole flow can be monitored, and the data transparency can be realized.
It should be noted that, although the steps in the flowchart are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in the flowcharts may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order in which the sub-steps or stages are performed is not necessarily sequential, and may be performed in turn or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Embodiment two:
as shown in fig. 3, an embodiment of the present invention further provides a funds scheduling device for a credit sponsor, for implementing the foregoing funds scheduling method for a credit sponsor, where the funds scheduling device includes:
a current date fund arrangement calculating unit for:
calculating the maximum current date deposit amount, the minimum current date deposit amount and the average current date deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current sponsor paying dimension statistical data, the current sponsor paying dimension statistical data and the current sponsor basic data are matched with the fund data of the fused guarantee company corresponding to the current sponsor, and the corresponding fused guarantee company is used for carrying out guarantee paying on the current sponsor;
the current tariff schedule basic data construction unit is used for:
inquiring real-time scheduling configuration data of the credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
a trusted party judgment unit for:
judging whether the current sponsor is a trusted sponsor or not; if the current date maximum deposit amount is not the trusted party, taking the current date maximum deposit amount as the real-time maximum deposit amount of the current party, and taking the current date minimum deposit amount as the real-time minimum deposit amount of the current party;
The current sponsor real-time scheduling result data generating unit is used for:
generating real-time scheduling result data of the current sponsor according to the basic data of the current sponsor scheduling, the real-time maximum payoff amount and the real-time minimum payoff amount;
all sponsor scheduling result data generating unit for:
and calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
In a preferred embodiment, the trusted party judgment unit is further adapted to:
if the current sponsor is a non-trusted sponsor, calculating the real-time maximum amplified money of the current sponsor according to the trusted balance, the current-day paid money amount and the business confirmed error amount inquired by the interface of the current sponsor; and calculating the real-time minimum payoff amount of the current sponsor according to the maximum payoff amount of the current date of the current sponsor.
In a preferred embodiment, the all-tariff scheduling result data generating unit is further adapted to:
checking whether a sponsor in the scheduling strategy has a missed scheduling sponsor;
when the missed discharging fund exists, calculating the bottom of the blank according to the minimum deposit amount, the maximum deposit amount and the maximum deposit amount limit of the missed discharging fund, and generating the bottom-blank amount of the missed discharging fund as real-time discharging result data of the missed discharging fund.
In a preferred embodiment, the all-tariff scheduling result data generating unit is further adapted to:
and when the missed discharging sponsor exists, generating missed discharging alarm information.
In a preferred embodiment, the scheduling device further comprises a current tariff dimension statistics acquisition unit for:
acquiring the current fund paying dimension statistical data according to the paying condition data of the current fund; wherein the current sponsor payoff dimension statistics include at least one of: the money amount paid in the month, the money paying success rate of nearly seven days, the yesterday money paying success rate and the money paying proportion of each product.
In a preferred embodiment, the arrangement further comprises a current tariff dimension statistics acquisition unit for:
acquiring current fund refund dimension statistical data according to the refund condition data of the current fund; wherein the current sponsor refund dimension statistics include at least one of: the amount returned in this month, the amount to be returned in the credit amount in this month, and the amount to be returned in the fund of the sponsor.
In a preferred embodiment, the scheduling device further comprises a current tariff base data acquisition unit for:
acquiring basic data of the current sponsor according to the manual input maintenance data of the sponsor of the current sponsor; wherein the current sponsor refund dimension statistics include at least one of: the balance of the fund is melted and the fund of the next month is melted and held on the balance of the credit, and the fund is melted and held on the balance of the day.
For specific limitations of the above apparatus, reference may be made to the limitations of the method described above, which are not repeated here.
Each of the modules in the above apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware, or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
The computer device may be a terminal, as shown in fig. 4, which includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It is to be understood that the structures shown in the above figures are merely block diagrams of some of the structures associated with the present invention and are not limiting of the computer devices to which the present invention may be applied, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
Embodiment III:
the embodiment of the invention also provides a computer device, which comprises a memory, a processor and a computer program, wherein the computer program is stored on the memory and can run on the processor, and the following steps are realized when the processor executes the computer program:
s4, calculating the maximum current date deposit amount, the minimum current date deposit amount and the daily uniform deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current sponsor paying dimension statistical data, the current sponsor paying dimension statistical data and the current sponsor basic data are matched with the fund data of the fused guarantee company corresponding to the current sponsor, and the corresponding fused guarantee company is used for carrying out guarantee paying on the current sponsor;
S51, inquiring real-time scheduling configuration data of the credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
s52, judging whether the current party is a trusted party; if the current date maximum deposit amount is not the trusted party, taking the current date maximum deposit amount as the real-time maximum deposit amount of the current party, and taking the current date minimum deposit amount as the real-time minimum deposit amount of the current party;
s53, generating real-time scheduling result data of the current sponsor according to the basic data of the current sponsor scheduling, the real-time maximum payoff amount and the real-time minimum payoff amount;
s6, calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
In a preferred embodiment, the processor when executing the computer program further performs the steps of:
judging whether the current sponsor is a trusted sponsor or not, comprising the following steps:
if the current sponsor is a non-trusted sponsor, calculating the real-time maximum amplified money of the current sponsor according to the trusted balance, the current-day paid money amount and the business confirmed error amount inquired by the interface of the current sponsor; and calculating the real-time minimum payoff amount of the current sponsor according to the maximum payoff amount of the current date of the current sponsor.
In a preferred embodiment, the processor when executing the computer program further performs the steps of:
invoking a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors, wherein the scheduling strategy comprises the following steps of:
checking whether a sponsor in the scheduling strategy has a missed scheduling sponsor;
when the missed discharging fund exists, calculating the bottom of the blank according to the minimum deposit amount, the maximum deposit amount and the maximum deposit amount limit of the missed discharging fund, and generating the bottom-blank amount of the missed discharging fund as real-time discharging result data of the missed discharging fund.
In a preferred embodiment, the processor when executing the computer program further performs the steps of:
invoking a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors, wherein the scheduling strategy comprises the following steps of:
and when the missed discharging sponsor exists, generating missed discharging alarm information.
In a preferred embodiment, the processor when executing the computer program further performs the steps of:
s1, acquiring current sponsor paying dimension statistical data according to the paying condition data of the current sponsor; wherein the current sponsor payoff dimension statistics include at least one of: the money amount paid in the month, the money paying success rate of nearly seven days, the yesterday money paying success rate and the money paying proportion of each product.
In a preferred embodiment, the processor when executing the computer program further performs the steps of:
s2, acquiring current fund refund dimension statistical data according to the refund condition data of the current fund; wherein the current sponsor refund dimension statistics include at least one of: the amount returned in this month, the amount to be returned in the credit amount in this month, and the amount to be returned in the fund of the sponsor.
In a preferred embodiment, the processor when executing the computer program further performs the steps of:
s3, acquiring basic data of the current sponsor according to the manual input maintenance data of the sponsor of the current sponsor; wherein the current sponsor refund dimension statistics include at least one of: the balance of the fund is melted and the fund of the next month is melted and held on the balance of the credit, and the fund is melted and held on the balance of the day.
Embodiment four:
the embodiment of the invention further provides a computer readable storage medium storing a computer program which when executed by a processor realizes the following steps:
s4, calculating the maximum current date deposit amount, the minimum current date deposit amount and the daily uniform deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current sponsor paying dimension statistical data, the current sponsor paying dimension statistical data and the current sponsor basic data are matched with the fund data of the fused guarantee company corresponding to the current sponsor, and the corresponding fused guarantee company is used for carrying out guarantee paying on the current sponsor;
S51, inquiring real-time scheduling configuration data of the credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
s52, judging whether the current party is a trusted party; if the current date maximum deposit amount is not the trusted party, taking the current date maximum deposit amount as the real-time maximum deposit amount of the current party, and taking the current date minimum deposit amount as the real-time minimum deposit amount of the current party;
s53, generating real-time scheduling result data of the current sponsor according to the basic data of the current sponsor scheduling, the real-time maximum payoff amount and the real-time minimum payoff amount;
s6, calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
In a preferred embodiment, the computer program when executed by the processor further implements the steps of:
judging whether the current sponsor is a trusted sponsor or not, comprising the following steps:
if the current sponsor is a non-trusted sponsor, calculating the real-time maximum amplified money of the current sponsor according to the trusted balance, the current-day paid money amount and the business confirmed error amount inquired by the interface of the current sponsor; and calculating the real-time minimum payoff amount of the current sponsor according to the maximum payoff amount of the current date of the current sponsor.
In a preferred embodiment, the computer program when executed by the processor further implements the steps of:
invoking a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors, wherein the scheduling strategy comprises the following steps of:
checking whether a sponsor in the scheduling strategy has a missed scheduling sponsor;
when the missed discharging fund exists, calculating the bottom of the blank according to the minimum deposit amount, the maximum deposit amount and the maximum deposit amount limit of the missed discharging fund, and generating the bottom-blank amount of the missed discharging fund as real-time discharging result data of the missed discharging fund.
In a preferred embodiment, the computer program when executed by the processor further implements the steps of:
invoking a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors, wherein the scheduling strategy comprises the following steps of:
and when the missed discharging sponsor exists, generating missed discharging alarm information.
In a preferred embodiment, the computer program when executed by the processor further implements the steps of:
s1, acquiring current sponsor paying dimension statistical data according to the paying condition data of the current sponsor; wherein the current sponsor payoff dimension statistics include at least one of: the money amount paid in the month, the money paying success rate of nearly seven days, the yesterday money paying success rate and the money paying proportion of each product.
In a preferred embodiment, the computer program when executed by the processor further implements the steps of:
s2, acquiring current fund refund dimension statistical data according to the refund condition data of the current fund; wherein the current sponsor refund dimension statistics include at least one of: the amount returned in this month, the amount to be returned in the credit amount in this month, and the amount to be returned in the fund of the sponsor.
In a preferred embodiment, the computer program when executed by the processor further implements the steps of:
s3, acquiring basic data of the current sponsor according to the manual input maintenance data of the sponsor of the current sponsor; wherein the current sponsor refund dimension statistics include at least one of: the balance of the fund is melted and the fund of the next month is melted and held on the balance of the credit, and the fund is melted and held on the balance of the day.
It will be appreciated that implementation of all or part of the flow of the methods of the above embodiments may be accomplished by a computer program that instructs related hardware, and that the computer program may be stored on a non-volatile computer readable storage medium, which when executed may include the flow of the embodiments of the methods as described above.
Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be noted that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A method of fund scheduling for a credit sponsor, comprising:
calculating the maximum current date deposit amount, the minimum current date deposit amount and the average current date deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current fund release dimension statistical data, the current fund return dimension statistical data and the current fund basic data are matched with the fund data of the fused load guarantee company corresponding to the current fund, and the corresponding fused load guarantee company is used for carrying out guarantee release on the current fund;
Inquiring real-time scheduling configuration data of a credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
judging whether the current party is a trusted party or not; if the current date maximum deposit amount is not the trusted party, the current date maximum deposit amount is used as the real-time maximum deposit amount of the current party, and the current date minimum deposit amount is used as the real-time minimum deposit amount of the current party;
generating real-time scheduling result data of the current sponsor according to the current sponsor scheduling basic data, the real-time maximum payoff amount and the real-time minimum payoff amount;
and calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
2. The method of fund scheduling for a credit sponsor of claim 1, wherein determining whether the current sponsor is a trusted sponsor comprises:
if the current party is a non-trusted party, calculating the real-time maximum payment amount of the current party according to the trusted balance, the current day paid amount and the business confirmed error amount queried by the interface of the current party; and calculating the real-time minimum payout of the current party according to the maximum payout of the current date of the current party.
3. The fund scheduling method of a credit sponsor according to claim 1 or 2, characterized in that the scheduling policy is invoked to generate all sponsor scheduling result data from the sponsor real-time scheduling result data of all sponsors, in particular comprising:
checking whether a sponsor in the scheduling strategy has a missed scheduling sponsor;
when the missed discharging sponsor exists, performing bottom calculation according to the minimum deposit amount, the maximum deposit amount and the maximum deposit amount limit of the missed discharging sponsor, and generating the bottom amount of the missed discharging sponsor as real-time scheduling result data of the missed discharging sponsor.
4. A credit sponsor funds scheduling method according to claim 3, wherein invoking the scheduling policy generates all sponsor scheduling result data from the sponsor real-time scheduling result data of all sponsors, in particular comprising:
and when the missed discharging sponsor exists, generating missed discharging alarm information.
5. The credit sponsor's funds scheduling method according to claim 3, characterized in that the scheduling method further comprises:
acquiring the current fund side fund dimension statistical data according to the current fund side fund situation data; wherein the current tariff dimension statistics include at least one of: the money amount paid in the month, the money paying success rate of nearly seven days, the yesterday money paying success rate and the money paying proportion of each product.
6. The credit sponsor's funds scheduling method according to claim 3, characterized in that the scheduling method further comprises:
acquiring the current fund return dimension statistical data according to the current fund return condition data; wherein the current tariff dimension statistics include at least one of: the amount returned in this month, the amount to be returned in the credit amount in this month, and the amount to be returned in the fund of the sponsor.
7. The credit sponsor's funds scheduling method according to claim 3, characterized in that the scheduling method further comprises:
acquiring basic data of the current sponsor according to the manual input maintenance data of the sponsor of the current sponsor; wherein the current tariff dimension statistics include at least one of: the balance of the fund is melted and the fund of the next month is melted and held on the balance of the credit, and the fund is melted and held on the balance of the day.
8. A credit-sponsor funds-scheduling apparatus for implementing the credit-sponsor funds-scheduling method as claimed in any of claims 1 to 7, said scheduling apparatus comprising:
a current date fund arrangement calculating unit for:
calculating the maximum current date deposit amount, the minimum current date deposit amount and the average current date deposit amount corresponding to the current sponsor according to the current sponsor deposit dimension statistical data, the current sponsor refund dimension statistical data and the current sponsor basic data; the current fund release dimension statistical data, the current fund return dimension statistical data and the current fund basic data are matched with the fund data of the fused load guarantee company corresponding to the current fund, and the corresponding fused load guarantee company is used for carrying out guarantee release on the current fund;
The current tariff schedule basic data construction unit is used for:
inquiring real-time scheduling configuration data of a credit platform, traversing the current tariff scheduling configuration data, and constructing and generating current tariff scheduling basic data according to the current tariff scheduling configuration data;
a trusted party judgment unit for:
judging whether the current party is a trusted party or not; if the current date maximum deposit amount is not the trusted party, the current date maximum deposit amount is used as the real-time maximum deposit amount of the current party, and the current date minimum deposit amount is used as the real-time minimum deposit amount of the current party;
the current sponsor real-time scheduling result data generating unit is used for:
generating real-time scheduling result data of the current sponsor according to the current sponsor scheduling basic data, the real-time maximum payoff amount and the real-time minimum payoff amount;
all sponsor scheduling result data generating unit for:
and calling a scheduling strategy, and generating scheduling result data of all the sponsors according to the real-time scheduling result data of all the sponsors for pushing to a real-time configuration center for paying.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the computer program, carries out the steps of the fund scheduling method of a credit sponsor according to any one of claims 1-7.
10. A computer readable storage medium storing a computer program, which when executed by a processor performs the steps of the funds scheduling method of a credit sponsor as claimed in any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310742941.1A CN116894720A (en) | 2023-06-21 | 2023-06-21 | Funds scheduling method, device, equipment and medium for credit sponsor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310742941.1A CN116894720A (en) | 2023-06-21 | 2023-06-21 | Funds scheduling method, device, equipment and medium for credit sponsor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116894720A true CN116894720A (en) | 2023-10-17 |
Family
ID=88311459
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310742941.1A Pending CN116894720A (en) | 2023-06-21 | 2023-06-21 | Funds scheduling method, device, equipment and medium for credit sponsor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116894720A (en) |
-
2023
- 2023-06-21 CN CN202310742941.1A patent/CN116894720A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2018229433B2 (en) | System for the measurement and automated accumulation of diverging cyber risks, and corresponding method thereof | |
| Cincotti et al. | Macroprudential policies in an agent-based artificial economy | |
| US11315188B2 (en) | Adaptive coupling-system based on a flexible risk transfer structure and corresponding method thereof | |
| US8027852B2 (en) | Apparatus, systems and methods for providing investment performance enhanced life insurance products | |
| US20040153396A1 (en) | Telecommunications credit management system and method | |
| CN109285069B (en) | Resource transfer method, device and server | |
| CN109472574A (en) | Method of payment, device, computer equipment and storage medium | |
| CN114090544A (en) | Template generation method, data entry template, data entry method and device | |
| US10460393B2 (en) | Convertibly triggered insurance system with a layered trigger structure and corresponding method thereof | |
| CN102044047A (en) | Full-process business treatment method based on credit checking and granting business system | |
| CN109670812A (en) | Method of payment, device, terminal and storage medium | |
| CN116894720A (en) | Funds scheduling method, device, equipment and medium for credit sponsor | |
| CN111583046A (en) | Financial resource processing method, device, equipment and system | |
| US10657602B2 (en) | Dynamically triggered insurance system based on a floating recoverable basis and corresponding method | |
| US11900448B2 (en) | Liquidity engine | |
| CN112907237B (en) | Consumption management system, method and background server | |
| CN112288559B (en) | Stock right-based financial data accounting method, device, equipment and storage medium | |
| Wang et al. | Evaluating corporate bonds with complicated liability structures and bond provisions | |
| CN114331670B (en) | Method, device, computer equipment and storage medium for determining fund scheduling scheme | |
| CN108985945A (en) | A kind of the annuity settlement method and server of insurance | |
| CN114240610B (en) | Automatic fund collection method, device, computer equipment and storage medium | |
| CN111260467B (en) | Information processing method, system and storage medium | |
| CN102081785A (en) | Credit reporting and providing service system based service processing method after credit providing | |
| CN116862516A (en) | Automatic payment method, device, computer equipment and storage medium | |
| CN117745280A (en) | Multi-channel payment management method, device, equipment and storage medium |
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 |