TWI810005B - Related business content push and management system and method thereof - Google Patents

Abstract

The present disclosure provides a related business content push and management system and method thereof. The related business content push and management system includes a storage device and a processor. The storage device stores a related business content engine, proposal recommendation engine, and related personnel engine. The processor is coupled to the storage device, and configured to execute the related business content engine, the proposal recommendation engine, and the related personnel engine. The related business content engine generates related business content list, according to preset business content data. The related personnel engine generates related personnel list according to the related business content list and personnel data. The proposal recommendation engine generates proposal recommendation data according to preset proposal data, the related business content list. and the related personnel list. Thus, the present disclosure is able to automatically provide proposal recommendation result, recommendation personnel, and related business content to the user according to the business content and personnel data.

Description

Associated transaction push and management system and method thereof

The present disclosure relates to a transaction management system, in particular to a related transaction push and management system and its method.

At present, in the process of processing affairs, users are faced with scattered information about transaction notifications, contact information of related personnel, and processing procedures, and often need to switch pages or devices to query information. Moreover, in the process of performing transaction processing, the user must rely on memory or past records to determine the next transaction step. As a result, users cannot efficiently handle affairs and contact relevant personnel. Moreover, in the case of personnel handover, it is difficult for the former personnel to teach the process of each transaction clearly, so that the new personnel cannot quickly handle various transactions and procedures independently. Therefore, when the traditional transaction management system is faced with the application scenario of a large amount of data, there may be a problem that the business process cannot be carried out efficiently. More importantly, the user's operation records and the user's past transaction processing operations (plans) cannot be effectively continued and handed over to the next processing personnel.

The present invention is directed to a related transaction push and management system and its method, which can automatically provide optimized and/or highly relevant recommendation results, key information or important floating layer information ( Floating screen) function.

According to an embodiment of the present invention, the associated transaction push and management system of the present invention includes a storage device and a processor. The storage device stores the business association engine, personnel association engine, solution recommendation engine, preset transaction data, personnel data and preset scheme data. The processor is coupled to the storage device, and is used for executing the transaction correlation engine, the personnel correlation engine, and the solution recommendation engine. The transaction association engine generates a list of associated transactions according to the preset transaction data. The personnel association engine generates an associated person list according to the associated transaction list and the personnel information. The plan recommendation engine generates recommended plan information according to the preset plan information, related transaction list and related person list.

According to an embodiment of the present invention, the associated transaction push and management method of the present invention includes the following steps: obtaining preset transaction data, personnel information, and preset plan information; generating a list of related transactions according to the preset transaction data; Generate a list of related persons from the data; generate recommended plan data according to the preset plan data, related transaction list and related person list; and output the related person list, related transaction list and recommended plan data.

Based on the above, the related transaction push and management system and its method of the present invention can automatically provide optimized and/or personalized recommendations according to user operation behavior, user history selection plan, user history affairs, and user's unit/department The functions of plan results, key information or important floating layer information enable users to improve processing efficiency when dealing with various affairs. As well as reducing the adaptation time required for users to switch work items and reducing the probability of user operation errors.

FIG. 1 is a schematic diagram of an associated transaction push and management system according to an embodiment of the present invention. Referring to FIG. 1 , the associated transaction push and management system 100 includes a processor 110 and a storage device 120 . The processor 110 is coupled to the storage device 120 . In this embodiment, the processor 110 may include a central processing unit (Central Processing Unit, CPU), a microprocessor (Microprocessor Control Unit, MCU) or a field programmable gate array (Field Programmable Gate Array, FPGA), etc. Circuits or chips with data computing functions, but the present invention is not limited thereto. The storage device 120 can be a memory (Memory), wherein the memory can be, for example, a read-only memory (Read Only Memory, ROM), an erasable programmable read-only memory (Erasable Programmable Read Only Memory, EPROM) Volatile memory such as non-volatile memory, random access memory (Random Access Memory, RAM), and storage devices such as hard disc drive (hard disc drive), semiconductor memory, and are used for storing the mentioned in the present invention Various programs and information and other materials. In this embodiment, the storage device 120 can store a plurality of specific modules, engines, algorithms and/or software, etc., so as to be read and executed by the processor 110 respectively. It should be noted that the modules, engines, and units described in the various embodiments of the present invention may be individually implemented by corresponding one or more algorithms and/or software, and may be implemented according to one or more algorithms and/or software. Or the execution result of the software to realize the relevant functions and operations described in the embodiments.

In this embodiment, the storage device 120 can store the transaction correlation engine 121 , the personnel correlation engine 122 , the solution recommendation engine 123 , preset transaction data, personnel data and preset solution data. The processor 110 can read these engines stored in the storage device 120, and by executing these engines, it can automatically provide optimization and and/or the ability to personalize the results of a recommendation scheme. In this embodiment, the associated transaction push and management system 100 can be, for example, a computer host installed in an enterprise, and provides a user interface/interaction interface for user operations, so as to provide recommendations for user affairs, related persons and solutions Push, and user operation behavior data can be obtained. Alternatively, in an embodiment, the associated transaction push and management system 100 may also be realized by, for example, a cloud server system architecture. The user can connect to the cloud server by executing the user interface (UI) program of the electronic device to view and execute related affairs, personnel and plans. In this regard, the user can operate the content of the user interface displayed on the display screen of the electronic device, so that the user interface/interaction interface or related programs can provide corresponding user operation behavior data to the cloud server. The cloud server can automatically match and calculate transaction content, personnel information and user operation behaviors by executing the above-mentioned multiple modules to provide a list of related parties related to business and user departments (that is, a list of related parties) ) and the function of the list of recommended solutions. In this way, the associated transaction push and management system 100 automatically recommends the associated transaction and/or personnel list, thereby improving the user's efficiency in processing transactions and/or various work orders.

In this embodiment, the personnel information is, for example, the user's corresponding permission, level, relevant identity information and/or absence status of each department in the enterprise organizational structure. The user operation behavior record may refer to the same or similar operation behavior record performed by the user before. The user operation behavior record may include the user operation time record, the user operation frequency, the frequency of the user clicking on each block, and the number of times the user clicks on each block. The user operation time record may refer to the timing when the user performed the same or similar operation behavior before.

Fig. 2 is a flowchart of a method for pushing and managing associated transactions according to an embodiment of the present invention. Referring to FIG. 1 and FIG. 2 , the associated transaction push and management system 100 can execute the following steps S210-S250. In step S210, the processor 110 may obtain preset transaction data, personnel data, and preset plan data. Specifically, the processor 110 obtains the required preset transaction data, personnel data and preset plan data by reading the data in the storage device 120 . Specifically, transaction data includes meeting materials, various work orders, leave process, attendance process, manufacturing work orders, matching of incoming materials, and business processes.

In step S220, the processor 110 may execute the transaction correlation engine 121 according to the preset transaction data to generate a list of related transactions. Specifically, the associated transaction list may be, for example, a transaction list including each transaction and the degree of transaction relevance. In step S230, the processor 110 may execute the personnel association engine 122 according to the associated transaction list and the personnel information to generate an associated person list (ie, an associated person list). Specifically, the person association engine 122 may provide a list of matching associated persons (ie, an associated person list) for the user to select according to the user's organizational unit and position. In one embodiment, the personnel of department A must contact supervisor X when performing the signing affairs, and the personnel of department B need to contact supervisor Y when performing the signing affairs. Therefore, when the current user is an employee of department A, the personnel association engine 122 will automatically include supervisor X in the associated person list (that is, the associated person list), so as to reduce the probability that the user has transaction execution errors. That is to say, the person association engine 122 may provide the user with a list of associated persons (ie, an associated person list) according to the department to which the user belongs.

In step S240, the processor 110 may execute the plan recommendation engine 123 according to the preset plan information, the associated transaction list, and the associated person list to generate recommended plan information. The recommendation scheme information includes multiple recommended schemes, multiple relevant personnel, and the degree of correlation between each recommended scheme and each relevant personnel. In one embodiment, the processor 110 sorts the recommendations according to the degree of relevance of the recommended solutions and the degree of relevance of related personnel, so as to display them to the user sequentially according to the degree of relevance. The recommendation solution may be a suggestion based on transaction content, for example, when the processor 110 detects that there is a missing field in the work order information, it judges the content of the missing field according to the historical records. In another embodiment, the processor 110 may also display reminder information to suggest the user to complete the filling. Therefore, the processor 110 can detect the lack of transactions and work orders, and provide a one-click approval function.

Moreover, in step S250, the processor 110 executes the person association engine 122 and the proposal recommendation engine 123 according to the related person list and the recommended plan data to output the related person list, the related transaction list and the recommended plan data to the user's electronic device. Specifically, the associated transaction push and management system 100 can analyze and integrate scattered work elements, and provide relevant information to users centered on transactions. In this way, the user can process affairs and/or contact related persons in the same system or on the same screen without interruption. Therefore, the user's work efficiency can be improved through the associated transaction push and management system 100 .

Fig. 3 is an execution schematic diagram of the associated transaction push and management system according to an embodiment of the present invention. Referring to FIG. 3 , the transaction correlation engine 121 may include a correlation transaction calculation module 1211 and a transaction output module 1212 . In step S310 and step S320, the user transmits a start command to activate the related transaction push and management system 100 to execute the related transaction system. In this embodiment, the related transaction calculation module 1211 generates a related transaction list 1213 according to the preset transaction 371 and the user execution command, and outputs the related transaction list 1213 to the transaction output module 1212 . In this way, the transaction association engine 121 generates a corresponding associated transaction list 1213 according to the transaction clicked/triggered by the user.

In this embodiment, the associated transaction list 1213 includes a plurality of associated transactions and the transaction association degree of each associated transaction. Specifically, the related transaction calculation module 1211 obtains a plurality of transaction related degrees through algorithms and analysis, and then completes related matching between transactions. In this embodiment, the start instruction and the execution instruction may be, for example, instructions generated by the user by clicking any task or work order (eg, work list, work notification list) button on the electronic device.

In this embodiment, the transaction output module 1212 outputs the associated transaction list 1213 to the personnel association engine 122 and the solution recommendation engine 123 . As shown in FIG. 3 , the person association engine 122 includes a person-event association algorithm module 1221 and an associated person output module 1222 . The person-event association algorithm module 1221 generates the associated person list 1223 (ie, the associated person list) according to the personnel information and the associated transaction list 1213 . Specifically, the person-event association algorithm module 1221 calculates and analyzes the degree of association between personnel and affairs and the degree of indirect association between personnel and affairs according to the preset personnel information and the list of related affairs. Moreover, the person-event association algorithm module 1221 calculates and sorts the persons with the highest degree of association to generate the associated person list 1223 . Next, the transaction output module 1212 outputs the associated transaction list 1213 to the user's electronic device (step S335 ). In this embodiment, the associated person output module 1222 inputs the associated person list 1223 to the solution recommendation engine 123, and the associated person output module 1222 simultaneously outputs the associated person list 1223 to the user's electronic device (step S340).

In this embodiment, the solution recommendation engine 123 includes a solution recommendation algorithm module 1231 . The program recommendation algorithm module 1231 performs a second-degree matching operation on the degree of transaction relevance and the degree of relationship between people and things according to the preset program data (preset program 391), the related transaction list 1213 and the related person list 1223 to form the recommended program data ( Recommendation 1232). Specifically, the solution recommendation algorithm module 1231 matches the matching degree of affairs and affairs, personnel and affairs twice through an analysis algorithm to form recommended plan information (recommended plan 1232). In one embodiment, the processor 110 may find the associated first person and the second person in the associated person list 1223 according to the first transaction, and find the associated first person and the second person in the preset plan information according to the first transaction. scheme and the second scheme. Next, the processor 110 may perform a second-degree matching operation on the transaction and the person according to the first scheme and the second scheme, and then find out the associated person in the associated person list 1223 . The processor 110 integrates and analyzes the obtained data, and arranges them according to the degree of relevance.

In step S350, the solution recommendation algorithm module 1231 outputs the recommended solution 1232 to the user's electronic device. In this way, the related transaction push and management system 100 can automatically provide the related person list 1223 and the recommended solution 1232 corresponding to the transaction according to the user's permission, department and position, so as to improve the user's efficiency in handling the transaction and managing the transaction list. efficiency.

It should be noted that the storage device 120 further stores a track recording engine 124 , and the processor 110 is configured to execute the track recording engine 124 . In this embodiment, the track recording engine 124 is used to input user operation behavior data into the transaction correlation engine 121, so that the transaction correlation engine 121 can use the user operation behavior data and preset transaction data (preset transaction 371) A list of associated transactions is generated 1213 . Specifically, the track recording engine 124 acquires and records the user's use track from the interactive interface 400 operated by the user. The interactive interface 400 can be, for example, a touch display screen of the user's electronic device, which can obtain the user's click records and trigger blocks. User operation behavior data can be, for example, operation step frequency, priority order and matching transaction correlation degree, user operation records, user click records, click frequency of each block, user operation time records, and clicks of each block at least one of the times. Specifically, the transaction correlation engine 121 can analyze the user's operation step frequency, operation and transaction priorities, and matching transaction correlations according to the user's operation records and click records (user operation behavior data).

In an embodiment, the associated transaction push and management system 100 may include multiple receiving terminals (for example, mobile terminals), and the receiving terminals may be electronic devices. The electronic equipment can be, for example, a user's handheld device, mobile phone, smart bracelet, smart watch, tablet computer, and desktop computer. The mobile terminal can transmit the click and trigger data of the user to the storage device 120 . The processor 110 reads the data in the storage device 120 , performs calculations on the user's operation behavior data, and feeds back the calculation results to the mobile terminal, so that the mobile terminal can obtain the adjusted recommendation scheme 1232 and process.

As shown in FIG. 3 , the track record engine 124 includes a track data acquisition module 1241 , a track data processing module 1242 and a track data reporting module 1243 . The trajectory data acquisition module 1241 acquires user operation behavior data from the interactive interface 400 . Moreover, the track data processing 1242 module generates the user's use track according to the user's operation behavior records. The track data reporting module 1243 inputs the user's usage track to the transaction correlation engine 121 . In this way, the related transaction push and management system 100 can use the input track of individual users and/or the entire user as a parameter of the related transaction list 1213 to generate the related transaction list 1213 related to the user's operation behavior data. Specifically, when the user's operation behavior data shows that the user receives the transaction notification, he often checks the absence status of the staff in the same department. Therefore, the transaction correlation engine 121 directly displays the absence status of the department staff on the user's electronic device, In order to save the time and steps that the user has to go to another page or the system to check the absence. In this way, through the associated transaction push and management system 100, the user is provided with a recommended solution 1232 that is more in line with the user's operating habits, thereby improving the user's efficiency in handling related transactions.

Please continue to refer to FIG. 1 to FIG. 3 . In one embodiment, the storage device 120 further includes a track record database 360 . The track record database 360 can be used to receive user operation behavior data from the track data reporting module 1243 and update the track record. Next, the track record database 360 outputs the user operation behavior data corresponding to the user and the transaction to the transaction correlation engine 121 . In one embodiment, the user can, for example, perform relevant enterprise management and/or transaction processing through an input device (such as a mouse, a keyboard, or a touch screen, etc.) and/or an application programming interface (Application Programming Interface, API) of the transaction management system operation behavior, and the processor 110 can obtain user operation behavior data corresponding to the user operation behavior by being coupled to an input device or an event management system.

In one embodiment, the storage device 120 further stores a preset transaction maintenance module, a personnel data maintenance module, and a preset scheme maintenance module. In this embodiment, the processor 110 can execute a preset transaction maintenance module, a personnel data maintenance module, and a preset scheme maintenance module. It should be noted that the storage device 120 may include a preset transaction database 370 , a personnel database 380 and a preset scheme database 390 .

In this embodiment, the processor 110 may execute preset transaction maintenance (step S330 ), so as to determine whether the associated transaction list 1213 has been stored in the preset transaction database 370 of the storage device 120 through the preset transaction maintenance module. When the related transaction list 1213 is not stored in the preset transaction database 370 , the preset transaction maintenance module adds the related transaction list 1213 to the preset transaction database 370 .

In one embodiment, the processor 110 may perform personnel data maintenance (step S331 ), so as to update the personnel data in the personnel database 380 of the storage device 120 according to the personnel transaction data through the personnel data maintenance module. Specifically, the user can input the personnel change data into the personnel database 380, so that the personnel data maintenance module can synchronously update and adjust the personnel database 380 in the storage device 120 according to the personnel change data. In this way, when the associated personnel leaves or is absent, the personnel association engine 122 can synchronously update the job agent of the absent personnel to the associated personnel according to the information in the personnel database 380, so that the user can quickly and correctly contact the corresponding associated personnel.

In one embodiment, the processor 110 may execute preset solution maintenance (step S332), so as to determine whether the recommended solution data (recommended solution 1232) has been stored in the preset solution database of the storage device 120 through the preset solution maintenance module. 390 in. When the recommended solution 1232 does not exist in the preset solution database 390 , the preset solution maintenance module adds the recommended solution 1232 to the preset solution database 390 . In this way, the preset scheme 391 output by the preset scheme database 390 includes the user's historical scheme and the scheme data selected by the user, so that the scheme recommendation engine 123 can automatically provide more suitable information for the user according to the user's operation and selection. historical scheme. In one embodiment, when the user operates the recommendation solution 1232 , the track record engine 124 also records the user's operation track records, and this case should not be limited thereto.

Fig. 4 is a flowchart of an associated transaction push and management system according to another embodiment of the present invention. Referring to FIG. 1 and FIG. 4 , the associated transaction push and management system 100 can execute the following steps S401-S414. In step S401, the processor 110 receives a start command sent by the user through the electronic device, and the processor 110 executes a transaction push and recommendation process related to the user. Specifically, the processor 110 pushes the corresponding transaction and recommendation plan 1232 to the user's electronic device according to the user who sent the start instruction, so that the user's electronic device displays the list of recommended solutions and the list of transactions.

In step S402, the processor 110 receives transaction selection information. Specifically, the processor 110 receives transaction selection information generated according to the recommended transaction option (transaction card) clicked/triggered by the user. In step S403 and step S404, the processor 110 displays relevant transaction topics and key information on the display of the user electronic device according to the above transaction selection information. Moreover, the processor 110 displays the detailed content/detailed page corresponding to the selected instruction according to the selected instruction. In this way, users can browse and view a list of related transactions and key information corresponding to each transaction. The key information can be, for example, the message/text noted by the previous undertaker, the content of precautions for the corresponding affairs, and the absence of department personnel.

In step S405, the processor 110 displays related transactions or corresponding messages, such as transaction attachments, transaction history, pictures, etc., according to the second operation instruction 415 sent by the user electronic device. In step S407, the processor 110 executes a corresponding operation according to the operation instruction sent by the electronic device. Specifically, in response to the download command, the processor 110 transmits the corresponding file/data to the user's electronic device, or responds to the enlargement command.

Or, the processor 110 enlarges and displays the corresponding picture on the display of the electronic device. In response to the view plan command, the processor 110 displays the recommended plan information on the electronic device. In one embodiment, the recommended solution 1232 can be displayed on the display of the electronic device through a floating layer (eg, a floating window, a floating screen), and at the same time display a confirmation button for the user to confirm (step S407 ). In step S408, the processor 110 executes a corresponding recommended operation in response to the execution instruction. And, when the execution is completed, the processor 110 ends the transaction process (step S414).

In another embodiment, in step S409, the processor 110 displays a list of associated persons of the corresponding transaction according to the first operation instruction 416 sent by the user through the electronic device. Specifically, the associated person list 1223 (ie, the associated person list) includes the degree of association of each person, and is sorted according to the degree of association, so that the user can conveniently view the persons related to the transaction. In step S410 , the processor 110 responds to the person selection instruction, and determines that the person corresponding to the person selection instruction belongs to the unrecommended 417 or the recommended 418 person. Specifically, when the corresponding person does not exist in the associated person list 1223 (not recommended 417), the processor 110 adds the relevant person to the associated person list (step S411). In another embodiment, when the corresponding person exists in the associated person list 1223 (recommended 418 ), the processor 110 selects the corresponding related person in the associated person list 1223 . In step S413 , in response to the execution instruction, the processor 110 executes message transmission with relevant persons or initiates a conference process. The related personnel can be a single person, multiple people or at least one team/department. In this way, the user can continue to execute the operation of the corresponding transaction after communicating with the related personnel (step S408).

It should be noted that the first operation instruction 416 and the second operation instruction 415 may be, for example, sliding left and right respectively, clicking the left and right sides of the display screen of the electronic device, turning the electronic device in the first direction and in the second direction. Specifically, the user can click the corresponding block or the corresponding operation method through the electronic device to send the first operation instruction 416, the second operation instruction 415, the instruction of viewing the plan, the instruction of execution, the instruction of downloading, the instruction of zooming in, and the selection of personnel. Instructions or transactions select instructions into processor 110 .

To sum up, the related transaction push and management system 100 and its method of the present invention can collect and analyze user operation behaviors, user history schemes, user history affairs, and the unit/department to which the user belongs. The list 1213 of associated personnel and associated transactions is obtained through matching analysis. In addition, the list 1213 of related persons and related affairs and the preset plan 391 are subjected to a second-degree matching analysis to generate a wide and related recommendation plan 1232 . In this way, the related transaction push and management system 100 of the present invention provides the related transaction list 1213 , the recommended plan 1232 and the related person list 1223 to achieve the purpose of improving the user's transaction processing efficiency and reducing the error rate of personnel.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present disclosure. scope.

100: Related transaction push and management system

110: Processor

120: storage device

121: Transaction Correlation Engine

1211:Associated transaction calculation module

1212: Transaction output module

1213: List of related transactions

122:Personnel Association Engine

1221: Human and Event Association Algorithm Module

1222: Associated person output module

1223: list of associated persons

123:Program recommendation engine

1231: Program recommendation algorithm module

1232: Recommended plan

124:Track recording engine

1241: Track data acquisition module

1242: Trajectory data processing module

1243: Track data reporting module

360: Track record database

370:Preset transaction database

371:Preset transaction

380: Personnel database

390:Preset scheme database

391:Preset scheme

415: The second operation instruction

416: The first operation instruction

417: not recommended

418: Recommended

S210~S250, S310~S350, S401~S405, S407~S414: steps

FIG. 1 is a schematic diagram of an associated transaction push and management system according to an embodiment of the present invention. Fig. 2 is a flowchart of a method for pushing and managing associated transactions according to an embodiment of the present invention. Fig. 3 is an execution schematic diagram of the associated transaction push and management system according to an embodiment of the present invention. Fig. 4 is a flowchart of an associated transaction push and management system according to another embodiment of the present invention.

S210, S220, S230, S240, S250: steps

Claims (20)

A related transaction push and management system, which includes: a storage device, a storage transaction related engine, a personnel related engine, a scheme recommendation engine, preset transaction data, personnel data, preset scheme data, and a personnel data maintenance module; and a processor, Coupled with the storage device, and used to execute the transaction correlation engine, the solution recommendation engine, the personnel correlation engine and the personnel data maintenance module, the transaction correlation engine generates according to the preset transaction data A list of related affairs; the personnel association engine generates a list of related persons according to the list of related affairs and the personnel data; the program recommendation engine generates a list of related people according to the preset plan data, the list of related affairs and the list of related people Recommending plan data, wherein the processor executes the personnel data maintenance module to update the storage device according to personnel change data, wherein the personnel data maintenance module updates the personnel data according to user operation behavior data. The related transaction push and management system according to claim 1, wherein the transaction related engine includes a related transaction calculation module and a transaction output module, and the related transaction calculation module is based on the preset transaction data and the user Executing the instruction generates a list of associated transactions, and outputs it to the transaction output module, wherein the list of associated transactions includes a degree of transaction relevance, Wherein, the transaction output module outputs the associated transaction list to the personnel association engine and the solution recommendation engine. The associated transaction push and management system according to claim 1, wherein the personnel association engine includes a person-event association algorithm module and an associated person output module, and the person-event association algorithm module is based on the The personnel information and the associated transaction list generate an associated person list, wherein the associated person output module inputs the associated person list into the proposal recommendation engine, and the associated person output module outputs the associated person list. The related transaction push and management system as described in claim 1, wherein the solution recommendation engine includes a solution recommendation algorithm module, wherein the solution recommendation algorithm module is based on the preset solution information, the related transaction The list and the associated person list perform a second-degree matching operation on the degree of transaction association and the degree of association between people and things to form the recommended plan data. The associated transaction push and management system as described in claim 1, wherein the storage device further stores a track record engine, and the processor is used to execute the track record engine, wherein the track record engine is used to store the track record engine The user operation behavior data is input to the transaction correlation engine, so that the transaction correlation engine generates the correlation transaction list according to the user operation behavior data and the preset transaction data. The associated transaction push and management system as described in claim 5, wherein the track recording engine includes a track data acquisition module, a track data processing module and and a trajectory data reporting module, wherein the trajectory data acquisition module obtains user operation behavior records from an interactive interface, wherein the trajectory data processing module generates the user operation behavior data according to the user operation behavior records , wherein the track data reporting module inputs the user operation behavior data into the transaction correlation engine. The related transaction push and management system as described in claim 5, wherein when the user clicks and processes the transaction through the operation interface, the track recording engine starts to record the user's operation behavior to obtain the user's operation behavior record , wherein the track recording engine performs comparative analysis according to the user operation behavior records to generate the user operation behavior data, and the user operation behavior data includes operation step frequency, priority order and matching transaction correlation degree. The related transaction push and management system as described in claim 5, wherein the storage device further stores a preset transaction maintenance module, and the processor executes the preset transaction maintenance module to determine the related transaction list Whether it has been stored in the storage device, wherein when the related transaction list is not stored in the storage device, the preset transaction maintenance module adds the related transaction list to the storage device middle. The associated transaction push and management system as described in Claim 1, wherein the storage device further stores a preset plan maintenance module, and the processor executes the preset plan maintenance module to determine the recommended plan data is stored in the storage device, Wherein when the recommended plan data is not stored in the storage device, the preset plan maintenance module adds the recommended plan to the storage device. The related transaction push and management system as described in claim 5, wherein the processor receives the first operation instruction and the second operation instruction transmitted by the user through the electronic device, wherein the processor receives the first operation instruction according to the first operation an instruction to display the list of associated persons on the display of the electronic device, wherein the processor displays the recommended plan information and the list of related affairs on the display of the electronic device according to the second operation instruction on the display. A related transaction push and management method, which includes: obtaining preset transaction data, personnel data and preset plan data; generating a related transaction list according to the preset transaction data through a transaction correlation engine; Generate a list of related persons from the transaction list and the personnel data; generate recommended plan data according to the preset plan data, the related transaction list and the related person list through the plan recommendation engine; and output the related person list, the The associated transaction list and the recommended plan data, wherein the method includes: using the personnel data maintenance module to update the storage device according to the personnel transaction data; wherein the personnel data maintenance module updates the personnel data according to the user operation behavior data. The related transaction push and management method according to claim 11, wherein the step of generating the related transaction list through the transaction related engine according to the preset transaction data includes: using the related transaction calculation module according to the preset Transaction data and user execution instructions generate the associated transaction list, wherein the associated transaction list includes transaction relevance; and output the associated transaction list to the personnel association engine and the program recommendation engine through the transaction output module . The method for pushing and managing related affairs as described in claim 11, wherein, the step of generating the related person list according to the related transaction list and the personnel data through the personnel association engine includes: using a person-event association algorithm The module generates the associated person list according to the personnel information and the associated transaction list; and inputs the associated person list into the proposal recommendation engine through an associated person output module. The method for pushing and managing related affairs as described in claim item 11, wherein the step of generating the recommended plan data through the plan recommendation engine according to the preset plan data, the list of related affairs, and the list of related parties includes: : Through the program recommendation algorithm module, according to the preset program data, the related transaction list, and the related person list, perform a second-degree matching operation on the degree of transaction relevance and the degree of relationship between people and things to form the recommended program material. The related transaction push and management method as described in claim 11, further comprising: inputting the user operation behavior data into the transaction correlation engine through the track recording engine; and using the transaction correlation engine according to the usage The operator operation behavior data and the preset transaction data generate the associated transaction list. The related transaction push and management method as described in claim 15, wherein the step of inputting the user operation behavior data into the transaction related engine through the track recording engine includes: obtaining the module from the interactive interface through the track data acquisition module Obtain user operation behavior records; generate the user operation behavior data according to the user operation behavior records through the track data processing module; and input the user operation behavior data into the Transaction correlation engine. The related transaction push and management method as described in claim item 15, wherein when the user clicks and processes the transaction through the operation interaction interface, the user operation behavior is recorded through the track recording engine to obtain the user operation behavior record; and perform comparative analysis according to the user operation behavior records through the track recording engine to generate the user operation behavior data, the user operation behavior data includes operation step frequency, priority order and matching transaction association degree. The related transaction push and management method as described in claim 15, further comprising: judging whether the related transaction list has been stored in the storage device through a preset transaction maintenance module, wherein when the related transaction The list is not stored in the storage device, and the associated transaction list is added to the storage device through the preset transaction maintenance module. The method for pushing and managing related affairs as described in claim 18, further comprising: judging whether the recommended plan data has been stored in the storage device through a preset plan maintenance module, wherein when the recommended plan The data is not stored in the storage device, and the preset solution maintenance module adds the recommended solution to the storage device. The related transaction push and management method as described in claim item 17, further comprising: receiving the first operation instruction and the second operation instruction sent by the user through the electronic device; and according to the first operation instruction, sending the The list of associated persons is displayed on the display of the electronic device, wherein the processor displays the recommended plan information and the list of related affairs on the display of the electronic device according to the second operation instruction.

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