A method, device, equipment and readable storage medium for constructing a product catalog

Abstract

The present invention relates to the technical field of product catalog construction, and in particular, to a method, apparatus, device, and readable storage medium for constructing a product catalog, the method comprising: obtaining a basic attribute module in basic data and classifying and dividing it; combining and superimposing the business categories, public tags, and business tags to which the classified basic attribute module belongs to obtain a management product catalog tag; inputting the stock historical data into the classified basic attribute module to obtain the classified stock historical data, and sequentially marking the classified stock historical data with business tags and public tags to obtain a stock historical data table covering tag information; mapping the stock historical data table covering tag information to the management product catalog tag to obtain a new product catalog. The present invention implements a method for uniformly constructing a product catalog for multi-dimensional attributes, and the product catalog generation rules can be modified without changing the code.

Description

Technical Field

[0001] The present invention relates to the technical field of product catalog construction, and in particular to a method, device, equipment and readable storage medium for constructing a product catalog. Background Art

[0002] While commercial banks can create different product catalogs to meet different application purposes, the lack of a single catalog to simultaneously address these diverse needs has led to information fragmentation within commercial banks due to the varying scope of these catalogs. This hinders managers from integrating diverse information and compiling a comprehensive overview, making it difficult to adapt to the digital transformation needs of fintech. Furthermore, most product catalog generation methods rely on single mapping tables or are embedded in programs, hindering the flexible configuration and rapid implementation of complex, multi-dimensional catalogs. Summary of the Invention

[0003] The purpose of the present invention is to provide a method, device, equipment and readable storage medium for constructing a product catalog to improve the above-mentioned problem. To achieve the above-mentioned purpose, the technical solution adopted by the present invention is as follows:

[0004] On the one hand, the present application provides a method for constructing a product catalog, which includes: obtaining a basic attribute module in basic data, and classifying and dividing the basic attribute module to obtain the classified basic attribute module; obtaining business tags and public tags, and superimposing the business categories, public tags and business tag combinations to which the classified basic attribute module belongs to obtain a management product catalog tag; obtaining business tag input rules, public tag input rules and existing historical data of basic data, inputting the existing historical data into the classified basic attribute module to obtain the classified existing historical data, and marking the classified existing historical data with business tags and public tags in turn according to the business tag input rules and public tag input rules to obtain an existing historical data table covering tag information; mapping the existing historical data table covering tag information and the management product catalog tag to obtain a new product catalog.

[0005] Optionally, obtaining basic attribute modules from basic data and classifying and dividing the basic attribute modules to obtain the classified and divided basic attribute modules includes:

[0006] Obtain the basic attribute modules in the basic data and the business types and business category labels corresponding to the basic attribute modules in the label database;

[0007] The basic attribute modules are classified according to the business types and business category labels corresponding to the basic attribute modules to obtain the classified basic attribute modules.

[0008] Optionally, the business tag input rule, the public tag input rule, and the stock historical data of the basic data are obtained, the stock historical data are input into the classified basic attribute module to obtain the classified stock historical data, and the classified stock historical data are sequentially labeled with business tags and public tags according to the business tag input rule and the public tag input rule to obtain a stock historical data table covering the tag information, including:

[0009] Obtain business tag input rules, public tag input rules, and existing historical data of basic data;

[0010] Inputting the inventory history data into the classified basic attribute module to obtain the classified inventory history data;

[0011] Inputting the service tag input rules and the public tag input rules into a first model, wherein the first model aggregates the service tag input rules to generate a set of service tag input rules, and the first model aggregates the public tag input rules to generate a set of public tag input rules;

[0012] The product inventory history data is input into the first model, and the first model sequentially tags the product inventory history data with business tags and public tags according to the set of business tag input rules and the set of public tag input rules to obtain an inventory history data table covering tag information.

[0013] Optionally, mapping the inventory history data table covering the tag information with the management product catalog tag to obtain a new product catalog includes:

[0014] Mapping the tags in the inventory history data table covering the tag information with the tags in the management product book tag;

[0015] If the same label is detected, the inventory history data table data containing the label information of the label is called, and the inventory history data table data containing the label information is input into the basic attribute module containing the label to obtain a new product catalog.

[0016] Optionally, obtaining a new product catalog further includes:

[0017] Obtaining major module information, wherein the major module is within the basic data, and the major module information includes loan module information, deposit module information, investment business module information, and other module information;

[0018] Obtaining a stock historical data table covering tag information of the loan module, and calculating the loan amount completion degree based on data in the stock historical data table covering tag information of the loan module;

[0019] A first threshold is obtained, and if the loan amount completion rate is less than the first threshold, the loan module is displayed in red.

[0020] Optionally, obtaining a new product catalog further includes:

[0021] Obtaining stock historical data, and determining whether the stock historical data includes data that does not belong to any basic attribute module;

[0022] If there is data that does not belong to any basic attribute module, a new basic attribute module will be established and classified, and then the data in the historical database will be called into the new basic attribute module, and marked with business tags, public tags and management book tags in turn.

[0023] In a second aspect, an embodiment of the present application provides a device for constructing a product catalog, the device comprising:

[0024] A first acquiring unit is configured to acquire basic attribute modules from basic data and classify and divide the basic attribute modules to obtain the classified and divided basic attribute modules;

[0025] The second acquisition unit is used to combine and superimpose the business categories, public tags and business tags of the basic attribute modules after classification to obtain the management product catalog tag;

[0026] A first processing unit is configured to obtain business tag input rules, public tag input rules, and stock historical data of basic data, input the stock historical data into the classified basic attribute module to obtain the classified stock historical data, and sequentially label the classified stock historical data with business tags and public tags according to the business tag input rules and the public tag input rules to obtain a stock historical data table containing tag information;

[0027] The second processing unit is used to map the inventory history data table covering the tag information with the management product catalog tag to obtain a new product catalog.

[0028] Optionally, the device includes:

[0029] The first acquisition subunit is used to obtain the basic attribute module in the basic data and the business type and business category label corresponding to the basic attribute module in the label database;

[0030] The first processing sub-unit is used to classify the basic attribute modules according to the business types and business category labels corresponding to the basic attribute modules to obtain the classified basic attribute modules.

[0031] Optionally, the device includes:

[0032] The second acquisition subunit is used to obtain business tag input rules, public tag input rules and existing historical data of basic data;

[0033] A second processing sub-unit is configured to input the inventory history data into the classified basic attribute module to obtain the classified inventory history data;

[0034] a third processing subunit, configured to input the service tag input rules and the public tag input rules into a first model, wherein the first model aggregates the service tag input rules to generate a set of service tag input rules, and the first model aggregates the public tag input rules to generate a set of public tag input rules;

[0035] The fourth processing sub-unit is used to input the product inventory history data into the first model. The first model sequentially tags the product inventory history data with business tags and public tags through the set of business tag input rules and the set of public tag input rules to obtain an inventory history data table covering tag information.

[0036] Optionally, the device includes:

[0037] A fifth processing sub-unit is configured to map the tags in the inventory history data table covering the tag information with the tags in the management product book tag;

[0038] The first judgment subunit is used to call the inventory history data table data containing the label information if the same label is detected, input the inventory history data table data containing the label information into the basic attribute module containing the label, and obtain a new product catalog.

[0039] Optionally, the device further includes:

[0040] a third acquiring unit, configured to acquire major module information, wherein the major module information is within the basic data and includes loan module information, deposit module information, investment business module information, and other module information;

[0041] a fourth obtaining unit, configured to obtain a stock historical data table covering tag information of the loan module, and calculate the loan amount completion degree based on data in the stock historical data table covering tag information of the loan module;

[0042] The first judgment unit is used to obtain a first threshold value, and if the loan amount completion rate is less than the first threshold value, the loan module is displayed in red.

[0043] Optionally, the device further includes:

[0044] A fifth acquiring unit is configured to acquire stock historical data and determine whether the stock historical data includes data that does not belong to any basic attribute module;

[0045] The second judgment unit is used to establish a new basic attribute module and classify the new basic attribute module if there is data that does not belong to any basic attribute module, and then call the data in the historical database into the new basic attribute module, and mark it with business tags, public tags and management book tags in turn.

[0046] In a third aspect, embodiments of the present application provide a device for constructing a product catalog, the device comprising a memory and a processor. The memory is configured to store a computer program; the processor is configured to implement the steps of the method for constructing a product catalog when executing the computer program.

[0047] In a fourth aspect, an embodiment of the present application provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned method for constructing a product catalog are implemented.

[0048] The beneficial effects of the present invention are:

[0049] 1. The present invention constructs the product catalog using multiple dimensions, realizing a method for uniformly constructing the product catalog based on multi-dimensional attributes. Based on big data technology and using rule sets, the product catalog is made flexible and configurable, and the product catalog generation rules can be modified without changing the code.

[0050] 2. The present invention is a unified management product directory that can take into account different modules such as capital, liquidity, and interest rate risk management. The product directory is flexible and convenient to maintain, and changes to the product directory can be made without modifying the code.

[0051] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the embodiments of the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0053] Figure 1 This is a flow chart of a method for constructing a product catalogue according to an embodiment of the present invention;

[0054] Figure 2 1 is a schematic diagram of the structure of a device for building a product catalog according to an embodiment of the present invention;

[0055] Figure 3 It is a schematic diagram of the structure of a device for building a product catalog described in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0057] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are used only to distinguish the description and should not be understood as indicating or implying relative importance.

[0058] Example 1

[0059] like Figure 1 As shown, this embodiment provides a method for constructing a product catalog, which includes step S1, step S2, step S3 and step S4.

[0060] Step S1: obtaining basic attribute modules from basic data, and classifying and dividing the basic attribute modules to obtain classified and divided basic attribute modules;

[0061] Step S2: Obtain business tags and public tags, and combine and superimpose the business categories, public tags, and business tags of the classified basic attribute modules to obtain management product catalog tags;

[0062] Step S3: Obtaining business tag input rules, public tag input rules, and stock historical data of basic data, inputting the stock historical data into the classified basic attribute module to obtain the classified stock historical data, and sequentially labeling the classified stock historical data with business tags and public tags according to the business tag input rules and the public tag input rules to obtain a stock historical data table containing tag information;

[0063] Step S4: Map the inventory history data table covering the tag information to the management product catalog tag to obtain a new product catalog.

[0064] In a specific embodiment of the present disclosure, the basic data in step S1 are multiple product catalogs constructed by companies to meet different purposes. The product catalogs contain multi-dimensional information such as balances, terms, prices, etc. of various products.

[0065] In a specific embodiment of the present disclosure, the business category, public label and business label in step S2 are superimposed and combined to obtain a management product catalog label.

[0066] In a specific embodiment of the present disclosure, the service tags and public tags in step S2 include a term tag, a service type tag, a service category tag, a service line tag, and an original term tag.

[0067] In a specific embodiment of the present disclosure, step S1 includes step S11 and step S12.

[0068] Step S11: Obtain the basic attribute module in the basic data and the business type and business category label corresponding to the basic attribute module in the label database;

[0069] It can be understood that this step is to extract the basic attribute module in the original product catalog and the common tags in the tag database;

[0070] Step S12: classify the basic attribute modules according to the business types and business category labels corresponding to the basic attribute modules to obtain classified basic attribute modules.

[0071] It can be understood that this step is to hierarchize the basic attribute modules, where there are multiple basic attribute modules, and each basic attribute module is classified and divided into multiple subjects and lines.

[0072] In a specific embodiment of the present disclosure, step S3 includes step S31, step S32, step S33 and step S34.

[0073] Step S31: Obtain business tag input rules, public tag input rules, and existing historical data of basic data;

[0074] It can be understood that this step is to obtain the input rules of business tags and public tags. The input rules determine what data is input into what rules, and then obtain the original historical data.

[0075] Step S32: inputting the inventory history data into the classified basic attribute module to obtain the classified inventory history data;

[0076] It can be understood that this step is to input the inventory historical data into the basic attribute module after classification and division, and to combine the data and the module.

[0077] Step S33: Input the service tag input rules and the public tag input rules into the first model; the first model aggregates the service tag input rules to generate a set of service tag input rules; and the first model aggregates the public tag input rules to generate a set of public tag input rules;

[0078] It can be understood that this step is to input the input rules into the hive+hadoop tool to uniformly generate a rule set, wherein the hive+hadoop tool is a component tool of big data.

[0079] Step S34: input the product inventory history data into the first model. The first model sequentially tags the product inventory history data with business tags and public tags according to the set of business tag input rules and the set of public tag input rules to obtain an inventory history data table covering tag information.

[0080] It can be understood that this step is to add business tags and public tags to the product inventory history data to obtain an inventory history data table covering tag information.

[0081] In a specific embodiment of the present disclosure, step S4 includes step S41 and step S42.

[0082] Step S31: Map the tags in the inventory history data table covering the tag information with the tags in the management product book tag;

[0083] Step S32: If the same label is detected, the inventory history data table data containing the label information is called, and the inventory history data table data containing the label information is input into the basic attribute module containing the label to obtain a new product catalog.

[0084] It can be understood that this step is to find the same tag and then insert the data of the tag when the same tag is found, so as to insert the data in the inventory historical data table covering the tag information into the basic attribute module of the same tag to obtain a new product catalog.

[0085] In a specific embodiment of the present disclosure, after step S4, step S5, step S6 and step S7 may be further included.

[0086] Step S5: Obtaining major module information, wherein the major module is in the basic data and includes loan module information, deposit module information, investment business module information, and other module information;

[0087] Step S6: Obtain the inventory history data table covering the tag information of the loan module, and calculate the loan amount completion degree based on the data in the inventory history data table covering the tag information of the loan module;

[0088] Step S7: Obtain a first threshold value. If the loan amount completion rate is less than the first threshold value, the loan module is displayed in red.

[0089] It is understandable that this step determines whether the staff has completed the task within the scheduled date by calculating the data in the inventory history data table covering the tag information, and reminds the management staff if the task has not been completed.

[0090] In a specific embodiment of the present disclosure, step S8 and step S9 may be further included after step S4.

[0091] Step S8: Obtain inventory history data, and determine whether the inventory history data contains data that does not belong to any basic attribute module;

[0092] Step S9: If there is data that does not belong to any basic attribute module, a new basic attribute module is established and classified, and then the data in the historical database is called into the new basic attribute module, and business tags, public tags and management book tags are marked in turn.

[0093] It can be understood that this step determines whether the product is worth investing in by calculating and processing the data in the inventory history data table covering the tag information, judging whether the number of people purchasing the product is normal and how much profit there is, and then reminding managers to delete or replace product lines that are not worth investing in.

[0094] Example 2

[0095] like Figure 2 As shown, this embodiment provides an apparatus for constructing a product catalog, which includes a first acquisition unit 701 , a second acquisition unit 702 , a first processing unit 703 , and a second processing unit 704 .

[0096] The first acquisition unit 701 is used to acquire basic attribute modules from basic data, and classify and divide the basic attribute modules to obtain the classified and divided basic attribute modules;

[0097] The second acquisition unit 702 is used to combine and superimpose the business categories, public tags and business tags of the basic attribute modules after classification to obtain the management product catalog tag;

[0098] The first processing unit 703 is configured to obtain business tag input rules, public tag input rules, and stock historical data of basic data, input the stock historical data into the classified basic attribute module to obtain the classified stock historical data, and sequentially label the classified stock historical data with business tags and public tags according to the business tag input rules and the public tag input rules to obtain a stock historical data table containing tag information;

[0099] The second processing unit 704 is configured to map the inventory history data table covering the tag information with the management product catalog tag to obtain a new product catalog.

[0100] In a specific implementation of the present disclosure, the apparatus includes a first acquiring subunit 7011 and a first processing subunit 7012 .

[0101] The first acquisition subunit 7011 is used to acquire the basic attribute module in the basic data and the business type and business category label corresponding to the basic attribute module in the label database;

[0102] The first processing sub-unit 7012 is used to classify the basic attribute modules according to the business types and business category labels corresponding to the basic attribute modules to obtain classified basic attribute modules.

[0103] In a specific embodiment of the present disclosure, the apparatus includes a second acquiring subunit 7031 , a second processing subunit 7032 , a third processing subunit 7033 and a fourth processing subunit 7034 .

[0104] The second acquisition subunit 7031 is used to acquire business tag input rules, public tag input rules and existing historical data of basic data;

[0105] The second processing sub-unit 7032 is configured to input the inventory history data into the classified basic attribute module to obtain the classified inventory history data;

[0106] The third processing sub-unit 7033 is configured to input the service tag input rules and the public tag input rules into the first model, wherein the first model aggregates the service tag input rules to generate a set of service tag input rules, and the first model aggregates the public tag input rules to generate a set of public tag input rules;

[0107] The fourth processing sub-unit 7034 is used to input the product inventory history data into the first model. The first model sequentially tags the product inventory history data with business tags and public tags according to the set of business tag input rules and the set of public tag input rules to obtain an inventory history data table covering tag information.

[0108] In a specific embodiment of the present disclosure, the device includes a fifth processing subunit 7041 and a first judgment subunit 7042 .

[0109] The fifth processing sub-unit 7041 is configured to map the tags in the inventory history data table covering the tag information with the tags in the management product book tag;

[0110] The first judgment subunit 7042 is used to call the inventory history data table data containing the label information if the same label is detected, input the inventory history data table data covering the label information into the basic attribute module containing the label, and obtain a new product catalog.

[0111] In a specific implementation of the present disclosure, the apparatus further includes a third acquiring unit 705 , a fourth acquiring unit 706 and a first determining unit 707 .

[0112] The third acquisition unit 705 is used to acquire major module information, wherein the major module is in the basic data and includes loan module information, deposit module information, investment business module information and other module information;

[0113] The fourth obtaining unit 706 is configured to obtain a stock historical data table covering tag information of the loan module, and calculate the loan amount completion degree based on data in the stock historical data table covering tag information of the loan module;

[0114] The first judgment unit 707 is configured to obtain a first threshold value, and display the loan module in red if the loan amount completion rate is less than the first threshold value.

[0115] In a specific implementation of the present disclosure, the apparatus further includes a fifth obtaining unit 708 and a second determining unit 709 .

[0116] The fifth acquiring unit 708 is configured to acquire inventory history data and determine whether the inventory history data includes data that does not belong to any basic attribute module;

[0117] The second judgment unit 709 is used to establish a new basic attribute module and classify the new basic attribute module if there is data that does not belong to any basic attribute module, and then call the data in the historical database into the new basic attribute module, and mark it with business tags, public tags and management book tags in sequence.

[0118] It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated on here.

[0119] Example 3

[0120] Corresponding to the above method embodiment, the embodiment of the present disclosure further provides a device for constructing a product catalog. The device for constructing a product catalog described below and the method for constructing a product catalog described above can refer to each other.

[0121] Figure 3 FIG. 8 is a block diagram of a device 800 for constructing a product catalog according to an exemplary embodiment. Figure 3 As shown, the device 800 for constructing a product catalog may include: a processor 801 and a memory 802. The device 800 for constructing a product catalog may also include one or more of a multimedia component 803, an input / output (I / O) interface 804, and a communication component 805.

[0122] The processor 801 is used to control the overall operation of the device 800 for constructing a product catalog to complete all or part of the steps in the method for constructing a product catalog. The memory 402 is used to store various types of data to support the operation of the device 800 for constructing a product catalog. Such data may include, for example, instructions for any application or method operating on the device 800, as well as application-related data, such as contact information, sent and received messages, images, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 802 or sent through the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules. The above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the device 800 for constructing the product catalog and other devices. Wireless communication, such as Wi-Fi, Bluetooth, near field communication (NFC), 2G, 3G or 4G, or a combination of one or more thereof, so the corresponding communication component 805 may include: a Wi-Fi module, a Bluetooth module, an NFC module.

[0123] In an exemplary embodiment, the device 800 for constructing a product catalog can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the above-mentioned method of constructing a product catalog.

[0124] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, the program instructions implement the steps of the aforementioned method for constructing a product catalog. For example, the computer-readable storage medium may be the aforementioned memory 802 including the program instructions. The program instructions may be executed by the processor 801 of the device 800 for constructing a product catalog to implement the aforementioned method for constructing a product catalog.

[0125] Example 4

[0126] Corresponding to the above method embodiment, the embodiment of the present disclosure further provides a readable storage medium. The readable storage medium described below and the method for constructing a product catalog described above can refer to each other.

[0127] A readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for constructing a product catalog in the above-mentioned method embodiment.

[0128] The readable storage medium may specifically be any readable storage medium that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0129] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

[0130] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for constructing a product catalog, characterized in that: include: Obtaining basic attribute modules from basic data, and classifying and dividing the basic attribute modules to obtain classified and divided basic attribute modules; Obtain business tags and public tags, and combine and superimpose the business categories, public tags, and business tags of the basic attribute modules after classification to obtain the management product catalog tags; Obtaining business tag input rules, public tag input rules, and stock historical data of basic data, inputting the stock historical data into the classified basic attribute module to obtain the classified stock historical data, and sequentially labeling the classified stock historical data with business tags and public tags according to the business tag input rules and the public tag input rules to obtain a stock historical data table containing tag information; Mapping the inventory history data table covering the tag information to the management product catalog tag to obtain a new product catalog; The business tag input rule, the public tag input rule, and the stock historical data of the basic data are obtained, the stock historical data are input into the classified basic attribute module to obtain the classified stock historical data, and the classified stock historical data are sequentially labeled with business tags and public tags according to the business tag input rule and the public tag input rule to obtain a stock historical data table covering the tag information, including: Obtain business tag input rules, public tag input rules, and existing historical data of basic data; Inputting the inventory history data into the classified basic attribute module to obtain the classified inventory history data; Inputting the service tag input rules and the public tag input rules into a first model, wherein the first model aggregates the service tag input rules to generate a set of service tag input rules, and the first model aggregates the public tag input rules to generate a set of public tag input rules; The product inventory history data is input into the first model, and the first model sequentially tags the product inventory history data with business tags and public tags according to the set of business tag input rules and the set of public tag input rules to obtain an inventory history data table covering tag information.

2. The method for constructing a product catalog according to claim 1, characterized in that: Obtaining basic attribute modules from basic data and classifying and dividing the basic attribute modules to obtain the classified and divided basic attribute modules, including: Obtain the basic attribute modules in the basic data and the business types and business category labels corresponding to the basic attribute modules in the label database; The basic attribute modules are classified according to the business types and business category labels corresponding to the basic attribute modules to obtain the classified basic attribute modules.

3. The method for constructing a product catalog according to claim 1, characterized in that: The inventory history data table covering the tag information and the management product book tag mapping are summarized to obtain a new product book, including: Mapping the tags in the inventory history data table covering the tag information with the tags in the management product book tag; If the same label is detected, the inventory history data table data containing the label information of the label is called, and the inventory history data table data containing the label information is input into the basic attribute module containing the label to obtain a new product catalog.

4. The method for constructing a product catalog according to claim 1, wherein: The new product catalogue also includes: Obtaining major module information, wherein the major module is within the basic data, and the major module information includes loan module information, deposit module information, investment business module information, and other module information; Obtain the inventory history data table covering the tag information of the loan module, and calculate the loan amount completion degree based on the data in the inventory history data table covering the tag information of the loan module; A first threshold is obtained, and if the loan amount completion rate is less than the first threshold, the loan module is displayed in red.

5. The method for constructing a product catalog according to claim 1, wherein: The new product catalogue also includes: Obtaining stock historical data, and determining whether the stock historical data includes data that does not belong to any basic attribute module; If there is data that does not belong to any basic attribute module, a new basic attribute module will be established and classified, and then the data in the historical database will be called into the new basic attribute module, and marked with business tags, public tags and management book tags in turn.

6. A device for constructing a product catalog, characterized in that: include: A first acquiring unit is configured to acquire basic attribute modules from basic data and classify and divide the basic attribute modules to obtain the classified and divided basic attribute modules; The second acquisition unit is used to combine and superimpose the business categories, public tags and business tags of the basic attribute modules after classification to obtain the management product catalog tag; A first processing unit is configured to obtain business tag input rules, public tag input rules, and stock historical data of basic data, input the stock historical data into the classified basic attribute module to obtain the classified stock historical data, and sequentially label the classified stock historical data with business tags and public tags according to the business tag input rules and the public tag input rules to obtain a stock historical data table containing tag information; The second processing unit is configured to map the inventory history data table covering the tag information with the management product catalog tag to obtain a new product catalog; The device further comprises: The second acquisition subunit is used to obtain business tag input rules, public tag input rules and existing historical data of basic data; A second processing sub-unit is configured to input the inventory history data into the classified basic attribute module to obtain the classified inventory history data; a third processing subunit, configured to input the service tag input rules and the public tag input rules into a first model, wherein the first model aggregates the service tag input rules to generate a set of service tag input rules, and the first model aggregates the public tag input rules to generate a set of public tag input rules; The fourth processing sub-unit is used to input the product inventory history data into the first model. The first model sequentially tags the product inventory history data with business tags and public tags through the set of business tag input rules and the set of public tag input rules to obtain an inventory history data table covering tag information.

7. The device for constructing a product catalog according to claim 6, characterized in that: The device comprises: The first acquisition subunit is used to obtain the basic attribute module in the basic data and the business type and business category label corresponding to the basic attribute module in the label database; The first processing sub-unit is used to classify the basic attribute modules according to the business types and business category labels corresponding to the basic attribute modules to obtain the classified basic attribute modules.

8. The device for constructing a product catalog according to claim 6, characterized in that: The device comprises: A fifth processing sub-unit is configured to map the tags in the inventory history data table covering the tag information with the tags in the management product book tag; The first judgment subunit is used to call the inventory history data table data containing the label information if the same label is detected, input the inventory history data table data containing the label information into the basic attribute module containing the label, and obtain a new product catalog.

9. The device for constructing a product catalog according to claim 6, characterized in that: The device further comprises: a third acquiring unit, configured to acquire major module information, wherein the major module information is within the basic data and includes loan module information, deposit module information, investment business module information, and other module information; a fourth obtaining unit, configured to obtain a stock historical data table covering tag information of the loan module, and calculate a loan amount completion degree based on data in the stock historical data table covering tag information of the loan module; The first judgment unit is used to obtain a first threshold value, and if the loan amount completion rate is less than the first threshold value, the loan module is displayed in red.

10. The device for constructing a product catalogue according to claim 6, characterized in that: The device further comprises: A fifth acquiring unit is configured to acquire stock historical data and determine whether the stock historical data includes data that does not belong to any basic attribute module; The second judgment unit is used to establish a new basic attribute module and classify the new basic attribute module if there is data that does not belong to any basic attribute module, and then call the data in the historical database into the new basic attribute module, and mark it with business tags, public tags and management book tags in turn.

11. A device for building a product catalog, characterized in that: include: memory for storing computer programs; A processor, configured to implement the steps of the method for constructing a product catalog as claimed in any one of claims 1 to 5 when executing the computer program.

12. A readable storage medium, characterized in that: The readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for constructing a product catalog as claimed in any one of claims 1 to 5.

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