CN114881667A - Financial analysis management platform and management method thereof - Google Patents
Financial analysis management platform and management method thereof Download PDFInfo
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- CN114881667A CN114881667A CN202210411286.7A CN202210411286A CN114881667A CN 114881667 A CN114881667 A CN 114881667A CN 202210411286 A CN202210411286 A CN 202210411286A CN 114881667 A CN114881667 A CN 114881667A
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- 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
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
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- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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- 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
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Abstract
The invention provides a financial analysis management platform and a management method thereof, and relates to the technical field of financial transactions. The financial analysis management platform and the management method thereof comprise a merchant information management module, a user information management module, an order tracking management module, a transaction abnormity management module, an artificial intelligence studying and judging module, an artificial transfer processing module, a buyer complaint management module and a blacklist management module; the order tracking management module comprises an order time monitoring unit, a trading party information monitoring unit, an order logistics monitoring unit and an order quantity monitoring unit; the transaction exception management module comprises an order quantity exception monitoring unit. The invention can track the abnormal transaction of the online shopping transaction platform in real time, collect and analyze information data, and process the account numbers of the abnormal merchants and buyers in time, thereby effectively restraining the illegal and illegal behaviors such as online billing, analyzing and supervising the buyers and sellers, and greatly improving the management efficiency.
Description
Technical Field
The invention relates to the technical field of financial transactions, in particular to a financial analysis management platform and a management method thereof.
Background
In recent years, with the rapid development of online shopping and online transactions, various financial analysis management platforms are also remarkably developed like spring shoots after rain, and with the gradual falling of supervision policies and the organic combination of industry discipline, the internet financial industry enters a standard development stage. The deep integration of internet finance and science and technology has advanced into the new era of intelligent finance, and the technology means such as big data, artificial intelligence, cloud computing and the like are applied, so that the financial industry is comprehensively improved in the aspects of business flow, business development, customer service and the like, and the intellectualization of financial products, wind control, customer acquisition and service is realized.
With the rapid development of online shopping industry, online fund transaction amount is also rising year by year, more and more merchants start to stay in each large online shopping platform, and as financial analysis management mechanisms of a plurality of online shopping platforms are not sound and have certain management loopholes, a plurality of bad merchants often employ a plurality of scattered households to refresh bills in order to improve own sales volume and webpage ranking, the customers do not violate related platform systems and laws and regulations, but also influence the judgment of real buyers on commodities, so that the shopping experience of the buyers is influenced, and a large amount of funds are cheated even in serious cases, if the funds are discovered and stopped in time, and the overall reputation of the whole online shopping platform is influenced.
Therefore, a new financial analysis management platform and a new management method thereof are developed.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a financial analysis management platform and a management method thereof, which solve the problems that as the financial analysis management mechanism of a plurality of online shopping platforms is not perfect, certain management loopholes exist, a plurality of bad merchants often employ a plurality of scattered households to swipe orders in order to improve the sales volume and the webpage ranking of the bad merchants, the orders are swiped in order to violate relevant platform systems and laws and regulations, meanwhile, the judgment of real buyers on commodities is influenced, the shopping experience of the buyers is influenced if the orders are lighter, and a large amount of funds are cheated even if the orders are serious, if the orders are discovered and stopped in time, the overall reputation of the whole online shopping platform is influenced.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a financial analysis management platform comprises a merchant information management module, a user information management module, an order tracking management module, a transaction exception management module, an artificial intelligence studying and judging module, an artificial transfer processing module, a buyer complaint management module and a blacklist management module;
the merchant information management module and the user information management module are respectively used for collecting and counting personal public information of merchants and buyer users, and can provide basic information data for the artificial intelligence studying and judging module, the artificial transfer processing module and the buyer complaint management module;
further, the order tracking management module comprises an order time monitoring unit, a trading party information monitoring unit, an order logistics monitoring unit and an order quantity monitoring unit;
furthermore, the transaction abnormity management module comprises an order quantity abnormity monitoring unit, a short-term repeated transaction monitoring unit, a regular centralized transaction monitoring unit and an abnormity automatic marking unit;
furthermore, the artificial intelligence studying and judging module comprises a buyer information analysis unit, an account name monitoring unit, a daily transaction span analysis unit, a daily transaction amount analysis unit and a comprehensive studying and judging analysis unit.
Preferably, the financial analysis management platform and the online shopping transaction platform share information synchronously through a cloud data wireless network.
Preferably, the order tracking management module is responsible for tracking and managing abnormal orders, and further comprises trade goods, merchant information, buyer information, goods receiving and dispatching addresses, order numbers and real logistics states.
Preferably, the order logistics monitoring unit further comprises a delivery logistics monitoring unit, a logistics state monitoring unit, a receiving area centralized monitoring unit and a commodity package verification unit, the order logistics monitoring unit is an important basis for abnormal order study and judgment, and when a delivered product is inconsistent with a sold product or a waste paper, foam or empty bag is used for replacing a commodity to be delivered, the order can be directly judged to be an abnormal order.
Preferably, when the order tracking management module monitors an abnormal order, the abnormal order information is transmitted to the transaction abnormal management module, the transaction abnormal management module carries out deep tracking management on the order, and an artificial intelligent studying and judging module carries out artificial intelligent studying and judging on the abnormal order.
A management method of a financial analysis management platform comprises the following specific contents:
s1, data sharing: the transaction information of the online shopping transaction platform is synchronously shared with the financial analysis management platform through a cloud data wireless network, and the financial analysis management platform carries out real-time monitoring analysis management on each single online shopping transaction platform;
s2, tracking and monitoring a transaction order: in regional time, when the transaction amount of a merchant is rapidly increased or is far larger than the normal transaction daily volume, the order tracking management module automatically tracks and monitors the merchant and all the account numbers of the order taking buyers on the current day, and reports order abnormal information to the transaction abnormal management module;
s3, statistic monitoring of transaction abnormal data: after receiving the abnormal transaction information reported by the order tracking management module, the transaction abnormal management module automatically collects and counts the transaction amount, short-term repeated transaction and periodic repeated transaction information of the merchant in a centralized manner, and automatically marks the abnormality of the merchant and the abnormal buyer account;
s4, artificial intelligence study and judgment: data monitored by the transaction abnormity management module is transmitted to the artificial intelligence studying and judging module after statistics, the artificial intelligence studying and judging module comprehensively analyzes and judges concentrated buyer information, serial account numbers, daily transaction span and daily transaction amount, when a plurality of buyer account numbers meet abnormal characteristics, the platform system automatically judges that the serial buyers are abnormal account numbers, the system automatically prompts transaction abnormity to the serial account numbers and carries out short-term sealing treatment on the account numbers, and when the plurality of buyer account numbers have no obvious abnormal characteristics, the artificial intelligence studying and judging module reports the abnormal information to the artificial switching treatment module;
s5, manual study and judgment: the artificial intelligence studying and judging module artificially studies and judges abnormal transaction information which cannot be automatically studied and judged, the artificial intelligence studying and judging module artificially communicates with each buyer account in a special line telephone communication mode, a short message reminding mode and a platform on-line communication mode, comprehensively studies and judges whether the buyer account is an abnormal account or not, and judges that the transaction is normal if the buyer normally responds; if the buyer does not respond or can not contact continuously, the account is judged to be an abnormal account, and short-term sealing processing is carried out on the account in the same way;
s6, customer complaints: if the seal number misjudgment occurs, a normal buyer can complain through the buyer complain management module and provide normal evidence of account transaction, real identity materials of the buyer and a normal contact way, and the complain materials decapsulate the account on the basis of reality and sufficiency; if the buyer cannot provide sufficient complaint proof material, the account is sealed for a long time;
s7, blacklist management: and for the abnormal merchant, the platform system automatically seals the merchant and the product, and lists the merchant and the product in a system blacklist, the platform carries out punishment according to related management regulations, and the platform carries out alarm processing under the condition that the merchant violates national regulations.
Preferably, the periodic monitoring of the abnormal transaction amount, the short-term repeated transaction and the periodic repeated transaction of the merchant in the step S3 is respectively 1 to 5 working days.
Preferably, the abnormal features in S4 include the existence of obvious serial numbers (such as T0001, T0002, T0003 … T0099, etc.) for multiple buyer account numbers, a large span between transaction commodities and daily transaction commodity types, and a daily transaction amount larger than a normal transaction amount.
(III) advantageous effects
The invention provides a financial analysis management platform and a management method thereof. The method has the following beneficial effects:
1. according to the financial analysis management platform and the management method thereof, the order tracking management module, the transaction exception management module, the artificial intelligent study and judgment module, the artificial transfer processing module, the buyer complaint management module and the blacklist management module are designed in the platform system, so that the abnormal transactions of the online shopping transaction platform can be tracked in real time, information data can be collected and analyzed, abnormal merchant accounts and buyer account numbers can be processed in time, violation and illegal behaviors such as online bill swiping and the like can be effectively restrained, the buyer and the seller can be analyzed and supervised, and the management efficiency is greatly improved.
2. According to the financial analysis management platform and the management method thereof, through real-time monitoring and management of the transaction orders, vicious competitive behaviors such as order swiping can be effectively restrained, meanwhile, the judgment of real buyers on commodities can not be influenced, the shopping experience of the buyers is improved, the condition that a large amount of funds are taken by cheating can not occur, and the overall credit of the whole online shopping platform is maintained.
Drawings
FIG. 1 is a schematic diagram of a system architecture of a financial analysis management platform according to the present invention;
FIG. 2 is a schematic diagram of an order tracking management module according to the present invention;
FIG. 3 is a schematic structural diagram of an order logistics monitoring unit according to the present invention;
FIG. 4 is a block diagram of a transaction exception management module according to the present invention;
FIG. 5 is a schematic diagram of an artificial intelligence evaluation module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1-5, an embodiment of the present invention provides a financial analysis management platform, which includes a merchant information management module, a user information management module, an order tracking management module, a transaction exception management module, an artificial intelligence studying and judging module, an artificial transfer processing module, a customer complaint management module, and a blacklist management module; the financial analysis management platform and the online shopping transaction platform synchronously share information through a cloud data wireless network;
the merchant information management module and the user information management module are respectively used for collecting and counting personal public information of merchants and buyer users, and can provide basic information data for the artificial intelligence studying and judging module, the artificial transfer processing module and the buyer complaint management module;
the order tracking management module comprises an order time monitoring unit, a trading party information monitoring unit, an order logistics monitoring unit and an order quantity monitoring unit; the order tracking management module is responsible for tracking and managing abnormal orders and further comprises transaction commodities, merchant information, buyer information, goods receiving and dispatching addresses, order numbers and real logistics states;
furthermore, the order logistics monitoring unit further comprises a delivery logistics monitoring unit, a logistics state monitoring unit, a receiving area centralized monitoring unit and a commodity package verification unit, wherein the order logistics monitoring unit is used for analyzing the order abnormity, and when the delivered product is inconsistent with the sold product or the delivered product is replaced by waste paper, foam or empty bag, the order can be directly judged to be an abnormal order;
the transaction abnormity management module comprises an order quantity abnormity monitoring unit, a short-term repeated transaction monitoring unit, a regular centralized transaction monitoring unit and an abnormity automatic marking unit;
the artificial intelligence studying and judging module comprises a buyer information analysis unit, an account name monitoring unit, a daily transaction span analysis unit, a daily transaction amount analysis unit and a comprehensive studying and judging analysis unit;
further, when the order tracking management module monitors abnormal orders, the abnormal order information is transmitted to the transaction abnormal management module, the transaction abnormal management module conducts deep tracking management on the orders, and the artificial intelligent studying and judging module conducts artificial intelligent studying and judging on the abnormal orders.
A management method of a financial analysis management platform comprises the following specific contents:
s1, data sharing: the transaction information of the online shopping transaction platform is synchronously shared with the financial analysis management platform through a cloud data wireless network, and the financial analysis management platform carries out real-time monitoring analysis management on each single online shopping transaction platform;
s2, tracking and monitoring a transaction order: in regional time, when the transaction amount of a merchant is rapidly increased or is far larger than the normal transaction daily volume, the order tracking management module automatically tracks and monitors the merchant and all the account numbers of the order taking buyers on the current day, and reports order abnormal information to the transaction abnormal management module;
s3, statistic monitoring of transaction abnormal data: after receiving the abnormal transaction information reported by the order tracking management module, the transaction abnormal management module automatically performs centralized collection and statistics on the transaction amount, the short-term repeated transaction and the periodic repeated transaction information of the merchant (the periodic monitoring on the abnormal transaction amount, the short-term repeated transaction and the periodic repeated transaction of the merchant is 1-5 working days respectively), and performs abnormal automatic marking on the merchant and the abnormal buyer account;
s4, artificial intelligence study and judgment: data monitored by the transaction abnormity management module is transmitted to the artificial intelligence studying and judging module after statistics, the artificial intelligence studying and judging module comprehensively analyzes and judges concentrated buyer information, serial account numbers, daily transaction span and daily transaction amount, when a plurality of buyer account numbers meet abnormity characteristics (the abnormity characteristics comprise that a plurality of buyer account numbers have obvious serial numbers (such as T0001, T0002, T0003 … T0099 and the like), the types of transaction commodities and daily transaction commodities have large span and the daily transaction amount is larger than normal transaction singular), the platform system automatically judges the serial buyer as the abnormal account number, the system automatically prompts transaction abnormity to the serial account number, and carries out short-term number sealing treatment on the account number, and when the plurality of buyer account numbers have no obvious abnormity characteristics, the artificial intelligence studying and judging module reports the abnormal information to the artificial switching processing module;
s5, manual study and judgment: the artificial intelligence studying and judging module artificially studies and judges abnormal transaction information which cannot be automatically studied and judged, the artificial intelligence studying and judging module artificially communicates with each buyer account in a special line telephone communication mode, a short message reminding mode and a platform on-line communication mode, comprehensively studies and judges whether the buyer account is an abnormal account or not, and judges that the transaction is normal if the buyer normally responds; if the buyer does not continuously respond or can not contact, judging the account number as an abnormal account number, and carrying out short-term number sealing treatment on the account number in the same way;
s6, customer complaints: if the seal number misjudgment occurs, a normal buyer can complain through the buyer complain management module and provide normal evidence of account transaction, real identity materials of the buyer and a normal contact way, and the complain materials decapsulate the account on the basis of reality and sufficiency; if the buyer cannot provide sufficient complaint proof material, the account is sealed for a long time;
s7, blacklist management: and for the abnormal merchant, the platform system automatically seals the merchant and the product, and lists the merchant and the product in a system blacklist, the platform carries out punishment according to related management regulations, and the platform carries out alarm processing under the condition that the merchant violates national regulations.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments 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. A financial analysis management platform, comprising: the system comprises a merchant information management module, a user information management module, an order tracking management module, a transaction exception management module, an artificial intelligence studying and judging module, an artificial transfer processing module, a buyer complaint management module and a blacklist management module;
further, the order tracking management module comprises an order time monitoring unit, a trading party information monitoring unit, an order logistics monitoring unit and an order quantity monitoring unit;
furthermore, the transaction abnormity management module comprises an order quantity abnormity monitoring unit, a short-term repeated transaction monitoring unit, a regular centralized transaction monitoring unit and an abnormity automatic marking unit;
furthermore, the artificial intelligence studying and judging module comprises a buyer information analysis unit, an account name monitoring unit, a daily transaction span analysis unit, a daily transaction amount analysis unit and a comprehensive studying and judging analysis unit.
2. The financial analytics management platform of claim 1, wherein: and the financial analysis management platform and the online shopping transaction platform synchronously share information through a cloud data wireless network.
3. The financial analytics management platform of claim 1, wherein: the order tracking management module is responsible for tracking and managing abnormal orders and further comprises transaction commodities, merchant information, buyer information, goods receiving and dispatching addresses, order numbers and real logistics states.
4. The financial analytics management platform of claim 1, wherein: the order logistics monitoring unit further comprises a delivery logistics monitoring unit, a logistics state monitoring unit, a receiving place centralized monitoring unit and a commodity package verification unit.
5. The financial analytics management platform of claim 1, wherein: when the order tracking management module monitors abnormal orders, the abnormal order information is transmitted to the transaction abnormal management module, the transaction abnormal management module conducts deep tracking management on the orders, and the artificial intelligent studying and judging module conducts artificial intelligent studying and judging on the abnormal orders.
6. The method as claimed in claim 1, wherein the method comprises the following steps:
s1, data sharing: the transaction information of the online shopping transaction platform is synchronously shared with the financial analysis management platform through a cloud data wireless network, and the financial analysis management platform carries out real-time monitoring analysis management on each single online shopping transaction platform;
s2, tracking and monitoring a transaction order: in regional time, when the transaction amount of a merchant is rapidly increased or is far larger than the normal transaction daily volume, the order tracking management module automatically tracks and monitors the merchant and all the account numbers of the order taking buyers on the current day, and reports order abnormal information to the transaction abnormal management module;
s3, statistic monitoring of transaction abnormal data: after receiving the abnormal transaction information reported by the order tracking management module, the transaction abnormal management module automatically collects and counts the transaction amount, short-term repeated transaction and periodic repeated transaction information of the merchant in a centralized manner, and automatically marks the abnormality of the merchant and the abnormal buyer account;
s4, artificial intelligence study and judgment: data monitored by the transaction abnormity management module is transmitted to the artificial intelligence studying and judging module after statistics, the artificial intelligence studying and judging module comprehensively analyzes and judges concentrated buyer information, serial account numbers, daily transaction span and daily transaction amount, when a plurality of buyer account numbers meet abnormal characteristics, the platform system automatically judges that the serial buyers are abnormal account numbers, the system automatically prompts transaction abnormity to the serial account numbers and carries out short-term sealing treatment on the account numbers, and when the plurality of buyer account numbers have no obvious abnormal characteristics, the artificial intelligence studying and judging module reports the abnormal information to the artificial switching treatment module;
s5, manual study and judgment: the artificial intelligence studying and judging module is used for studying and judging abnormal transaction information which cannot be automatically studied and judged manually, the artificial intelligence studying and judging module is used for communicating with each buyer account manually in a private line telephone communication mode, a short message reminding mode and a platform online communication mode, comprehensively studying and judging whether the buyer account is an abnormal account, and judging that the transaction is normal if the buyer responds normally; if the buyer does not respond or can not contact continuously, the account is judged to be an abnormal account, and short-term sealing processing is carried out on the account in the same way;
s6, buyer complaints: if the seal number misjudgment occurs, a normal buyer can complain through the buyer complain management module and provide normal evidence of account transaction, real identity materials of the buyer and a normal contact way, and the complain materials decapsulate the account on the basis of reality and sufficiency; if the buyer cannot provide sufficient complaint proof material, the account is sealed for a long time;
s7, blacklist management: and for the abnormal merchant, the platform system automatically seals the merchant and the product, and lists the merchant and the product in a system blacklist, the platform carries out punishment according to related management regulations, and the platform carries out alarm processing under the condition that the merchant violates national regulations.
7. The method of claim 6, wherein the method comprises: in the step S3, the periodic monitoring of the abnormal transaction amount, the short-term repeated transaction and the periodic repeated transaction of the merchant is 1-5 working days respectively.
8. The method of claim 6, wherein the method comprises: the abnormal features in the step S4 include the existence of obvious serial numbers for multiple buyer account numbers, large span between the types of the transaction commodities and the daily transaction commodities, and the daily transaction amount larger than the normal transaction amount.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115525667A (en) * | 2022-10-12 | 2022-12-27 | 赫中企云(北京)信息服务有限公司 | Rule hot updating method during program operation |
| CN117172796A (en) * | 2023-08-07 | 2023-12-05 | 北京智慧大王科技有限公司 | Big data electronic commerce management system |
-
2022
- 2022-04-19 CN CN202210411286.7A patent/CN114881667A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115525667A (en) * | 2022-10-12 | 2022-12-27 | 赫中企云(北京)信息服务有限公司 | Rule hot updating method during program operation |
| CN117172796A (en) * | 2023-08-07 | 2023-12-05 | 北京智慧大王科技有限公司 | Big data electronic commerce management system |
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