Intelligent control system for online transaction supervision of chemical products

Abstract

The invention discloses an intelligent control system for supervising online transactions of chemical products, and belongs to the technical field of transaction management. The intelligent control system is used to solve the technical problems that the existing solutions cannot implement supervision and analysis of different dimensions on the subsequent outbound status and delivery status of online transactions of chemical products, and cannot implement analysis and control of transaction impact on different merchants, so that the supervision of online transactions of chemical products has limitations and singleness. The intelligent control system collects data of the outbound link of ordered goods placed by online transaction users of chemical products, processes and analyzes the data to obtain the corresponding first analysis result, collects data of the outbound link of ordered goods of online transaction merchants of chemical products, processes and analyzes the data to obtain the corresponding second analysis result, integrates and calculates all outbound status analysis results and delivery status analysis results of different merchants in online transactions, and analyzes the corresponding transaction risks of all merchants, and implements targeted transaction control.

Description

Technical Field

[0001] The present invention relates to the technical field of transaction management, and in particular to an intelligent control system for online transaction supervision of chemical products. Background Art

[0002] Chemical products refer to various chemicals and materials produced from natural resources or other chemical products through chemical reactions, physical changes and mechanical operations; chemical products are widely used in daily life, industrial production, medicine, agriculture, construction and other fields.

[0003] Online transactions of chemical products are an increasingly popular trend. Buying and selling chemical products through the Internet platform can improve transaction efficiency and reduce transaction costs. When conducting online transactions of chemical products, the existing online transaction supervision schemes for chemical products have certain defects in implementation. They cannot implement different dimensions of supervision and analysis on the subsequent outbound and delivery status of online transactions of chemical products to avoid the wrong or missed goods from being delivered to buyers, thereby causing different degrees of losses to buyers and creating a bad shopping experience. In addition, they cannot implement transaction impact analysis and control on different merchants, which makes the supervision of online transactions of chemical products limited and single. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent control system for supervising online transactions of chemical products, which is used to solve the technical problems that the existing solutions cannot implement supervision and analysis of different dimensions on the subsequent outbound status and delivery status of online transactions of chemical products, and cannot implement transaction impact analysis and management on different merchants, resulting in limitations and singleness in the supervision of online transactions of chemical products.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] The intelligent control system for online transaction supervision of chemical products includes:

[0007] The transaction front-end data supervision and processing module is used to monitor and count the data of the outbound shipment of the orders implemented by the merchants during the online transaction of chemical products, and to conduct outbound shipment consistency analysis and digital processing of outbound shipment anomalies on the monitored and counted outbound shipment data, so as to digitally update the order number to reflect the impact of outbound shipment;

[0008] The transaction mid-end data supervision and processing module is used to monitor and count the shipment data of the order goods of the online chemical product transaction merchants after the goods are shipped out of the warehouse, and to perform shipment consistency analysis and digital processing of shipment anomalies on the monitored and counted shipment data to digitally update the order number to reflect the impact of shipment;

[0009] The online transaction anomaly assessment control module is used to integrate the transaction impact data of the chemical product online transaction merchants during the implementation period and calculate the corresponding transaction impact, analyze the transaction impact and conduct dynamic security control on subsequent transactions of different merchants;

[0010] Among them, within the preset basic evaluation cycle, the order numbers corresponding to all online chemical product trading merchants and their associated outbound abnormality and delivery abnormality are counted in turn, and the transaction impact corresponding to different merchants is calculated based on the outbound abnormality and delivery abnormality associated with all order numbers;

[0011] Analyze the impact of transactions to screen risky merchants, and implement dynamic management and control of risky merchants' online transactions.

[0012] Preferably, when a chemical product online trading merchant prepares for the shipment of ordered goods according to an order placed by a user, the ordered goods before shipment are photographed according to preset photographing requirements and sorted and combined to obtain first goods photographing data and uploaded to the merchant's shipment retention unit, all images in the first goods photographing data are sequentially subjected to image recognition and keyword recognition and combined to obtain a shipment identification data set, and the shipment identification data set is uploaded to the transaction supervision platform according to the order number;

[0013] When performing an outbound consistency analysis on the merchant's order goods to be shipped out, the standard order data set of the corresponding order is obtained according to the order number, and the identification data in the outbound identification data set is retrieved and analyzed in turn with all the order data in the standard order data set through the data item recognition model, and the first analysis result is output; wherein the output first analysis result contains a value of 1 or -1.

[0014] Preferably, a normal outbound signal is generated according to the value of 1 in the first analysis result and the outbound identification corresponding to the order is set to 1;

[0015] According to the value of -1 in the first analysis result, an outbound exception signal is generated and the outbound identification corresponding to the order is set to -1. At the same time, the order number corresponding to the order is obtained according to the outbound exception signal and sent to the merchant for outbound item confirmation. After the outbound items are confirmed, the same outbound consistency analysis is implemented until the outbound identification corresponding to the order is updated to 1.

[0016] Preferably, the abnormal data type corresponding to the identification data in the outbound identification data set that is different from the order data in the standard order data set is obtained according to the outbound abnormal signal, and the abnormal data type is digitized to obtain the corresponding abnormal type weight Qy, and the total number of abnormalities Ny corresponding to the abnormal data type in the outbound identification data set is counted, and the impact evaluation formula is used to calculate Get the outbound abnormality Cy corresponding to the order number; where Qw is the goods weight corresponding to the goods in the order;

[0017] Associate the outbound delivery anomaly degree with the corresponding order number to achieve digital update of the outbound delivery impact of the order number.

[0018] Preferably, when the courier receives a reminder of the logistics shipment of the ordered goods, the courier is reminded to take photos of the ordered goods to be shipped according to the preset photo requirements, sort and combine the photos to obtain the second goods photo data, and upload the photos to the logistics shipment retention unit, perform image recognition and keyword recognition on the second goods photo data, and combine them to obtain a shipment identification data set, and perform shipment consistency analysis on the ordered goods that have been shipped by the merchant according to the shipment identification data set;

[0019] The identification data in the shipment identification data set is sequentially retrieved and analyzed with all the order data in the standard order data set through the data item identification model, and a second analysis result is output.

[0020] Preferably, a normal delivery signal is generated according to the value of 1 in the second analysis result and the delivery flag corresponding to the order is set to 1;

[0021] According to the value of -1 in the second analysis result, a shipping exception signal is generated and the shipping identifier corresponding to the order is set to -1. At the same time, the order number corresponding to the order is obtained according to the shipping exception signal and sent to the merchant for confirmation of the shipped items. After the shipped items are confirmed, the same shipping consistency analysis is implemented until the shipping identifier corresponding to the order is updated to 1.

[0022] Preferably, the delivery anomaly degree Fy corresponding to the order number is calculated according to the impact assessment formula; and the delivery anomaly degree is associated with the corresponding order number to achieve digital update of the delivery impact of the order number.

[0023] Preferably, the transaction influence Jy corresponding to different merchants is calculated by the formula Jy=a1×N1+a2×N2; wherein a1 and a2 are both proportional weight coefficients, a1<a2, a1+a2=1, and N1 and N2 are the total number of occurrences of outbound anomaly and delivery anomaly, respectively.

[0024] Preferably, by the formula Calculate the transaction impact Jy corresponding to different merchants; where N1 and N2 are the total number of outbound anomalies and delivery anomalies, respectively.

[0025] Preferably, all merchants are sorted in descending order according to the transaction impact value, and the merchants corresponding to the transaction impact greater than the transaction impact threshold are marked as risky merchants, and targeted warehouse and shipment alarms are implemented for risky merchants. At the same time, the basic assessment cycle is shortened to obtain the supervision cycle, and the supervision cycle is used to conduct targeted supervision on the subsequent transaction impact of risky merchants, and dynamic management and control of risky merchants' online transactions are implemented based on the supervision results.

[0026] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0027] The present invention obtains a corresponding first analysis result by collecting and processing data of the outbound delivery link of the ordered goods placed by the online transaction users of chemical products. According to the first analysis result, the overall outbound delivery situation of the corresponding ordered goods can be obtained, and reliable data support can be provided for the calculation and analysis of the impact of abnormal outbound delivery of subsequent ordered goods, thereby improving the diversity of monitoring, processing and utilization of outbound delivery of chemical products in online transactions.

[0028] The present invention obtains the corresponding second analysis result by collecting and processing data of the logistics delivery link of the ordered goods shipped by the online transaction merchant of chemical products. According to the second analysis result, the overall delivery status of the corresponding ordered goods can be obtained, and data support for delivery supervision can be provided for the calculation and analysis of the impact of abnormal delivery of subsequent ordered goods, thereby improving the diversity of monitoring, processing and utilization of the online transaction delivery of chemical products.

[0029] The present invention integrates and calculates all the outbound status analysis results and delivery status analysis results of different merchants in online transactions to obtain the corresponding transaction impact, obtains the corresponding transaction risks of all merchants according to the transaction impact, and can implement targeted transaction management and control on different merchants, thereby improving the overall effect of online transaction supervision and control of chemical products. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] Figure 1 It is a principle block diagram of the intelligent control system for online transaction supervision of chemical products of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary operation and maintenance personnel in this field without creative work are within the scope of protection of the present invention.

[0033] like Figure 1 As shown, the present invention is an intelligent control system for online transaction supervision of chemical products, including a transaction front-end data supervision processing module, a transaction mid-end data supervision processing module, an online transaction abnormality assessment control module and a transaction supervision platform;

[0034] The transaction front-end data supervision and processing module is used to monitor and count the data of the outbound shipment of the orders implemented by the merchants during the online transaction of chemical products, and to conduct outbound consistency analysis and digital processing of outbound anomalies on the monitored and counted outbound data, so as to digitally update the order number to reflect the impact of outbound shipment; including:

[0035] When a chemical product online transaction merchant prepares for the shipment of ordered goods according to an order placed by a user, the ordered goods before shipment are photographed according to the preset photographing requirements, sorted and combined to obtain first goods photographing data and uploaded to the merchant's shipment retention unit. The merchant's shipment retention unit can be preset on the chemical product online transaction webpage, and image recognition and keyword recognition are performed on all images in the first goods photographing data in turn and combined to obtain a shipment identification data set, and the shipment identification data set is uploaded to the transaction supervision platform according to the order number;

[0036] The preset photography requirements include taking photos of individual items of the ordered goods at multiple angles to obtain individual information of the outbound goods, such as the name and weight of the goods, and taking photos of the entire order at multiple angles to obtain overall information of the outbound goods, such as the overall quantity and weight;

[0037] In addition, image recognition and keyword recognition are both existing conventional technical solutions, and the specific recognition steps are not described here;

[0038] When performing outbound consistency analysis on the merchant's order goods to be shipped, the standard order data set of the corresponding order is obtained according to the order number. The standard order data set is extracted and combined according to the relevant data of the goods in the order, including but not limited to the name, individual weight, overall quantity, and overall weight of the goods. The identification data in the outbound identification data set is sequentially retrieved and analyzed with all the order data in the standard order data set through the data item recognition model, and the first analysis result is output; wherein the expression of the data item recognition model is:

[0039] Wherein, a is all identification data in the outbound identification data set, and b is all order data in the standard order data set; wherein the output first analysis result contains a value of 1 or -1;

[0040] The data item recognition model is established based on the isolation forest algorithm, and the establishment steps are the existing conventional technical solutions, and the specific steps are not repeated here; the data item recognition model is used to analyze whether the matching processing data and the sample data are the same; the processing data in the embodiment of the present invention is the identification data in the outbound identification data set, and the sample data is all the order data in the standard order data set;

[0041] According to the value of 1 in the first analysis result, it is determined that all identification data in the outbound identification data set are the same as all order data in the standard order data set, then a normal outbound signal is generated and the outbound identification corresponding to the order is set to 1;

[0042] According to the value of -1 in the first analysis result, it is determined that there is identification data in the outbound identification data set that is different from the order data in the standard order data set, then an outbound abnormality signal is generated and the outbound identification corresponding to the order is set to -1, and at the same time, the order number corresponding to the order is obtained according to the outbound abnormality signal and sent to the merchant for outbound item confirmation, and the same outbound consistency analysis is performed on the outbound items after confirmation, until the outbound identification corresponding to the order is updated to 1;

[0043] In the embodiment of the present invention, the first analysis result is obtained by collecting data of the outbound link of the ordered goods placed by the chemical product online transaction user, and processing and analyzing the data. According to the first analysis result, the overall outbound situation of the corresponding ordered goods can be obtained, and reliable data support can be provided for the calculation and analysis of the impact of abnormal outbound shipment of subsequent ordered goods, thereby improving the diversity of monitoring, processing and utilization of outbound shipment of chemical products online transactions;

[0044] And, according to the outbound abnormal signal, the abnormal data type corresponding to the identification data in the outbound identification data set that is different from the order data in the standard order data set is obtained, and the abnormal data type is digitized to obtain the corresponding abnormal type weight Qy, wherein, when the digitization is performed, the abnormal data type can be input into a pre-constructed abnormal data type weight table for retrieval and matching to obtain the corresponding abnormal type weight, and the abnormal data type table is pre-set with several different abnormal data types and corresponding abnormal type weights, and the specific value of the abnormal type weight can be set according to the value of the corresponding goods;

[0045] Count the total number of abnormalities Ny corresponding to the abnormal data type that appears in the outbound identification data set, and calculate it using the impact assessment formula Get the outbound anomaly degree Cy corresponding to the order number; where Qw is the goods weight corresponding to the goods in the order. The way to obtain the goods weight can be the same as the way to obtain the anomaly type weight, or it can be customized according to the individual value of the goods;

[0046] Associate the outbound anomaly degree with the corresponding order number to achieve digital update of the outbound impact of the order number;

[0047] In the embodiment of the present invention, the corresponding outbound anomaly degree is obtained by performing data integration calculation on the impact of abnormal outbound shipment of ordered goods. According to the outbound anomaly degree, not only the outbound anomaly situation corresponding to the individual abnormal order can be obtained, but also reliable local outbound anomaly data support can be provided for the subsequent supervision analysis of the periodic transaction impact of the corresponding merchant, thereby improving the diversity and reliability of the supervision of the subsequent outbound shipment of goods in online transactions of chemical products.

[0048] The transaction mid-end data supervision and processing module is used to monitor and count the shipment data of the order goods of the online transaction merchants of chemical products after the goods are shipped out of the warehouse, and to perform shipment consistency analysis and digital processing of shipment anomalies on the monitored and counted shipment data to digitally update the order number to reflect the impact of shipment; including:

[0049] When the courier receives a reminder of the logistics outbound delivery of the ordered goods, the courier is reminded to take photos of the ordered goods to be delivered according to the preset photo requirements, sort and combine them to obtain the second goods photo data and upload them to the logistics delivery retention unit. The logistics delivery retention unit can be preset on the chemical product online transaction webpage. The photo requirements here are the same as the merchant's outbound photo requirements, and the courier needs to take photos of the ordered goods to be delivered in front of the merchant to ensure that the inconsistency of the ordered goods is caused by the merchant. The second goods photo data is image recognized and keyword recognized and combined to obtain a delivery recognition data set, and the delivery consistency analysis is performed on the merchant's outbound ordered goods according to the delivery recognition data set;

[0050] It is worth noting that when merchants send out ordered goods through logistics, there are inconsistencies in the goods shipped out of their own warehouses, and there is also a lack of third-party supervision of the shipped goods in logistics shipments. The existing technical solutions do not involve consistency supervision of online transaction goods of chemical products from different dimensions, resulting in abnormal order goods being shipped, which causes varying degrees of losses to buyers and creates a bad shopping experience;

[0051] Performing retrieval analysis on the identification data in the shipment identification data set and all the order data in the standard order data set in turn through the data item identification model and outputting a second analysis result;

[0052] Wherein, the output second analysis result includes a value of 1 or -1;

[0053] According to the value of 1 in the second analysis result, it is determined that all identification data in the shipment identification data set are the same as all order data in the standard order data set, then a normal shipment signal is generated and the shipment flag corresponding to the order is set to 1;

[0054] According to the value of -1 in the second analysis result, it is determined that there is identification data in the shipment identification data set that is different from the order data in the standard order data set, then a shipment exception signal is generated and the shipment identifier corresponding to the order is set to -1, and at the same time, the order number corresponding to the order is obtained according to the shipment exception signal and sent to the merchant for shipment item confirmation, and the same shipment consistency analysis is performed on the shipment items after confirmation, until the shipment identifier corresponding to the order is updated to 1;

[0055] In the embodiment of the present invention, the corresponding second analysis result is obtained by collecting data of the logistics delivery link of the ordered goods shipped by the online transaction merchant of chemical products, and processing and analyzing the same. According to the second analysis result, the overall delivery status of the corresponding ordered goods can be obtained, and data support for the delivery supervision can be provided for the calculation and analysis of the impact of abnormal delivery of subsequent ordered goods, thereby improving the diversity of monitoring, processing and utilization of the online transaction delivery of chemical products;

[0056] And, the delivery anomaly degree Fy corresponding to the order number is calculated according to the impact assessment formula; and the delivery anomaly degree is associated with the corresponding order number to realize the digital update of the delivery impact of the order number;

[0057] In the embodiment of the present invention, the corresponding delivery anomaly degree is obtained by performing data integration calculation on the impact of abnormal shipment of order goods. According to the delivery anomaly degree, not only the delivery anomaly situation corresponding to the individual abnormal order can be obtained, but also reliable local delivery anomaly data support can be provided for the subsequent supervision analysis of the periodic transaction impact of the corresponding merchant, thereby improving the diversity and reliability of the supervision of subsequent goods shipment in online transactions of chemical products.

[0058] The online transaction anomaly assessment control module is used to integrate the transaction impact data of the chemical product online transaction merchants during the implementation period and calculate the corresponding transaction impact, analyze the transaction impact and conduct dynamic security control on subsequent transactions of different merchants; including:

[0059] Within the preset basic evaluation cycle, the unit corresponding to the basic evaluation cycle is month, which can be four months, the order numbers corresponding to all chemical product online trading merchants and their associated outbound abnormality Cy and delivery abnormality Fy are counted in turn;

[0060] Solution 1) Calculate the transaction influence Jy corresponding to different merchants through the formula Jy=a1×N1+a2×N2; where a1 and a2 are proportional weight coefficients, a1<a2, a1+a2=1, N1 and N2 are the total number of outbound anomaly and delivery anomaly respectively;

[0061] Option 2) Through the formula Calculate the transaction impact Jy corresponding to different merchants; where N1 and N2 are the total number of outbound anomalies and delivery anomalies respectively;

[0062] All merchants are sorted in descending order according to the transaction impact value, and the merchants corresponding to the transaction impact greater than the transaction impact threshold are marked as risky merchants. Targeted warehouse and shipment alarms are implemented for risky merchants. At the same time, the basic assessment cycle is shortened to obtain the supervision cycle. The unit of the supervision cycle is month, which can be two months. The supervision cycle is used to conduct targeted supervision on the subsequent transaction impact of risky merchants, and dynamic control is implemented on the online transactions of risky merchants based on the supervision results;

[0063] Among them, the supervision results include normal merchants or risky merchants. According to the risky merchants in the supervision results, targeted restrictions on account transaction controls, or control such as deduction of points and fines can be implemented.

[0064] In an embodiment of the present invention, all outbound status analysis results and delivery status analysis results of different merchants in online transactions are integrated and calculated to obtain the corresponding transaction impact, and the corresponding transaction risks of all merchants are obtained according to the transaction impact. In addition, targeted transaction management and control can be implemented for different merchants, thereby improving the overall effect of online transaction supervision and control of chemical products.

[0065] In the several embodiments provided by the present invention, it should be understood that the disclosed modules can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0066] The modules described as separate components may or may not be physically separated, and the components on the module line may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0067] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0068] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the basic features of the present invention.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary operation and maintenance personnel in the field should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. The intelligent control system for online transaction supervision of chemical products is characterized by: include: The transaction front-end data supervision and processing module is used to monitor and count the data of the outbound shipment of the orders implemented by the merchants during the online transaction of chemical products, and to conduct outbound shipment consistency analysis and digital processing of outbound shipment anomalies on the monitored and counted outbound shipment data, so as to digitally update the order number to reflect the impact of outbound shipment; The transaction mid-end data supervision and processing module is used to monitor and count the shipment data of the order goods of the online chemical product transaction merchants after the goods are shipped out of the warehouse, and to perform shipment consistency analysis and digital processing of shipment anomalies on the monitored and counted shipment data to digitally update the order number to reflect the impact of shipment; The online transaction anomaly assessment control module is used to integrate the transaction impact data of the chemical product online transaction merchants during the implementation period and calculate the corresponding transaction impact, analyze the transaction impact and conduct dynamic security control on subsequent transactions of different merchants; Among them, within the preset basic evaluation cycle, the order numbers corresponding to all online chemical product trading merchants and their associated outbound abnormality and delivery abnormality are counted in turn, and the transaction impact corresponding to different merchants is calculated based on the outbound abnormality and delivery abnormality associated with all order numbers; Among them, the impact assessment formula is used to calculate Get the outbound anomaly degree Cy corresponding to the order number; where Qw is the goods weight corresponding to the goods in the order; Qy is the anomaly type weight corresponding to the anomaly data type; Ny is the total number of anomalies of the anomaly data type; associate the outbound anomaly degree with the corresponding order number to realize the digital update of the outbound impact of the order number; The delivery anomaly degree Fy corresponding to the order number is calculated according to the impact assessment formula; and the delivery anomaly degree is associated with the corresponding order number to realize the digital update of the delivery impact of the order number; The transaction impact Jy corresponding to different merchants is calculated by the formula Jy=a1×N1+a2×N2; where a1 and a2 are proportional weight coefficients, a1<a2, a1+a2=1, N1 and N2 are the total number of outbound anomalies and delivery anomalies respectively; Or, by the formula Calculate the transaction impact Jy corresponding to different merchants; where N1 and N2 are the total number of outbound anomalies and delivery anomalies respectively; Analyze the impact of transactions to screen risky merchants, and implement dynamic management and control of risky merchants' online transactions.

2. The intelligent control system for online transaction supervision of chemical products according to claim 1 is characterized in that: When a chemical product online trading merchant prepares for the shipment of ordered goods according to an order placed by a user, the ordered goods before shipment are photographed according to the preset photographing requirements, sorted and combined to obtain first goods photographing data and uploaded to the merchant's shipment retention unit, all images in the first goods photographing data are sequentially subjected to image recognition and keyword recognition and combined to obtain a shipment identification data set, and the shipment identification data set is uploaded to the transaction supervision platform according to the order number; When performing an outbound consistency analysis on the merchant's order goods to be shipped out, the standard order data set of the corresponding order is obtained according to the order number, and the identification data in the outbound identification data set is retrieved and analyzed in turn with all the order data in the standard order data set through the data item recognition model, and the first analysis result is output; wherein the output first analysis result contains a value of 1 or -1.

3. The intelligent control system for online transaction supervision of chemical products according to claim 2 is characterized in that: Generate a normal outbound signal according to the value of 1 in the first analysis result and set the outbound flag corresponding to the order to 1; According to the value of -1 in the first analysis result, an outbound exception signal is generated and the outbound identification corresponding to the order is set to -1. At the same time, the order number corresponding to the order is obtained according to the outbound exception signal and sent to the merchant for outbound item confirmation. After the outbound items are confirmed, the same outbound consistency analysis is implemented until the outbound identification corresponding to the order is updated to 1.

4. The intelligent control system for online transaction supervision of chemical products according to claim 3 is characterized in that: According to the outbound abnormal signal, the abnormal data type corresponding to the identification data in the outbound identification data set that is different from the order data in the standard order data set is obtained, and the abnormal data type is digitized to obtain the corresponding abnormal type weight Qy, and the total number of abnormalities Ny corresponding to the abnormal data type that appears in the outbound identification data set is counted.

5. The intelligent control system for online transaction supervision of chemical products according to claim 4 is characterized in that: When the courier receives a reminder of the logistics outbound delivery of the ordered goods, the courier is reminded to take photos of the ordered goods according to the preset photo requirements, sort and combine them to obtain the second goods photo data, and upload them to the logistics delivery retention unit, perform image recognition and keyword recognition on the second goods photo data, and combine them to obtain a delivery identification data set, and perform delivery consistency analysis on the merchant's ordered goods that have been shipped out according to the delivery identification data set; The identification data in the shipment identification data set is sequentially retrieved and analyzed with all the order data in the standard order data set through the data item identification model, and a second analysis result is output.

6. The intelligent control system for online transaction supervision of chemical products according to claim 5 is characterized in that: Generate a normal delivery signal according to the value of 1 in the second analysis result and set the delivery flag corresponding to the order to 1; According to the value of -1 in the second analysis result, a shipping exception signal is generated and the shipping identifier corresponding to the order is set to -1. At the same time, the order number corresponding to the order is obtained according to the shipping exception signal and sent to the merchant for confirmation of the shipped items. After the shipped items are confirmed, the same shipping consistency analysis is implemented until the shipping identifier corresponding to the order is updated to 1.

7. The intelligent control system for online transaction supervision of chemical products according to claim 1 is characterized in that: All merchants are sorted in descending order according to the transaction impact value, and the merchants corresponding to the transaction impact greater than the transaction impact threshold are marked as risky merchants. Targeted warehouse and shipment alarms are implemented for risky merchants. At the same time, the basic assessment cycle is shortened to obtain the supervision cycle. The supervision cycle is used to conduct targeted supervision on the subsequent transaction impact of risky merchants, and dynamic management and control of risky merchants' online transactions are implemented based on the supervision results.

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