CN112419033A - Method for automatically declaring tax through artificial intelligence financial software as a service (SaaS) - Google Patents
Method for automatically declaring tax through artificial intelligence financial software as a service (SaaS) Download PDFInfo
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- CN112419033A CN112419033A CN202011384833.4A CN202011384833A CN112419033A CN 112419033 A CN112419033 A CN 112419033A CN 202011384833 A CN202011384833 A CN 202011384833A CN 112419033 A CN112419033 A CN 112419033A
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Abstract
The invention discloses an artificial intelligent financial SaaS automatic tax return method, which comprises an information input module, an automatic auditing module, a settlement module and an information repository module, wherein the information input module comprises a user tax return statement and an information input code scanning gun, the automatic auditing module automatically audits information input by the information input module, the settlement module settles the tax return result, the automatic auditing module is also provided with a key point automatic screenshot module and a screenshot storage module, and the key point automatic screenshot module screenshots important data in the auditing process and stores the screenshots in the screenshot storage module. This method of automatic tax declare of artificial intelligence financial affairs SaaS through setting up automatic audit module, conveniently audits the content of declaring the tax, through setting up contrast module, conveniently compares present tax declaring information with tax declaring information in the past, and the staff of being convenient for carries out contrastive analysis to the information of declaring the tax of the same race, reduces staff's intensity of labour.
Description
Technical Field
The invention relates to the technical field of financial tax declarations, in particular to an artificial intelligent financial SaaS automatic tax declaring method.
Background
Tax is a standard form for the nation to participate in the distribution, enforcement and free income of social products according to the legal regulations in order to provide public products to the society and meet the social needs. Tax is a very important policy tool.
The traditional tax return mode needs the staff to enter and carry out manual examination and check the tax return information in the process of tax return, and after the tax return is finished, can't directly carry out contrastive analysis to the same kind of tax return information in the past, needs the staff to call out the comparative analysis that carries out of one item after the data in the past, has increased staff's intensity of labour.
The invention provides an artificial intelligence financial SaaS automatic tax declaring method.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an artificial intelligence financial SaaS automatic tax declaring method.
In order to achieve the purpose, the invention adopts the following technical scheme: an artificial intelligence financial SaaS automatic tax declaring method comprises an information input module, an automatic auditing module, a settlement module and an information repository module.
The information input module comprises a user tax declaration statement and an information input code scanning gun.
The automatic auditing module is used for automatically auditing the information input by the information input module, and the automatic auditing module is also provided with a key point automatic screenshot module and a screenshot storage module.
The settlement module is used for settling the tax return result.
The information repository module is used for classifying and storing the settled tax declaring information, and the information repository module is also internally provided with a comparison module.
The method comprises the following steps:
and S1, filling the tax declaration form of the user according to the requirement by the user, and recording the tax declaration form of the user into the information recording module by using the information recording code scanning gun.
And S2, after the tax information to be reported is input, automatically auditing the tax information by the automatic auditing module, and capturing the key point information by the key point automatic capturing module in the automatic auditing process and storing the key point information into the capturing repository.
And S3, the automatic auditing module settles the tax declaring information after the tax declaring information is approved, and the settled result is stored in the information storage module after settlement.
And S4, comparing the result of the current settlement tax declaring information with the original same tax declaring information in the information repository module.
Preferably, the key point automatic screenshot module performs screenshot on important data in an auditing process, and stores the screenshot in the screenshot storage module.
Preferably, the automatic audit module is further provided with a self-service spot check module, and the self-service spot check module performs spot check according to the content of the automatic audit module.
Preferably, the comparison module is used for comparing the current tax return data with the tax return data stored in the information repository and analyzing the details of the same kind of tax return information.
Preferably, the information storage module further comprises a self-service query module, and the self-service query module inputs a keyword for querying related tax return information.
Preferably, when the automatic audit module in S3 fails to audit the tax return information, the process returns to S1, the self-service spot check module performs self-service spot check on the audit result of the automatic audit module in S3, and if the spot check fails, the process directly returns to S1.
Preferably, the information storage module is further provided with a plurality of tax return type storage modules, the tax return type storage modules are respectively stored in each corresponding tax return type storage module according to the type of tax return, each tax return type storage module is further provided with a plurality of tax return amount classified storage modules, and the storage interval of each tax return amount classified storage module is sequentially increased by taking one ten thousand yuan as a reference.
The invention has the following beneficial effects:
1. this method of automatic tax declare of artificial intelligence financial affairs SaaS sweeps a yard rifle through setting up user's declare tax statement list and information entry, makes things convenient for entering of declaring tax information, examines the module through setting up the automation, conveniently examines and verifies the content of declaring tax, through setting up contrast module, conveniently compares present declare tax information with the information of declaring tax in the past, and the staff of being convenient for carries out contrastive analysis to the information of declaring tax of the same race, reduces staff's intensity of labour.
2. According to the method for automatically declaring the tax in the artificial intelligence financial SaaS, by arranging the key point automatic screen capture module and the screen capture storage module, the examination and verification content of the automatic examination and verification module can be conveniently searched in the later stage, by arranging the self-service spot check module, the examination and verification result of the automatic examination and verification module can be conveniently spot checked, and the probability of generating error information is reduced.
3. According to the method for automatically declaring the tax of the artificial intelligence financial SaaS, the tax declarator type storage module is used for classifying and storing tax declaring information according to the type of the tax declaring, and then the tax declaring information is stored in the tax declaring amount classification storage module according to the amount of the tax declaring, so that the phenomenon that excessive tax declaring information exists in each tax declaring type storage module, and the influence on later inquiry and check is caused, and meanwhile, later-stage searching is facilitated.
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FIG. 1 is a schematic view of the tax return process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, the method for automatic tax declaration of artificial intelligence financial software as a service (SaaS) comprises an information input module, an automatic auditing module, a settlement module and an information repository module.
The information input module comprises a user tax declaration statement and an information input code scanning gun, and the input of tax declaration information is facilitated by arranging the user tax declaration statement and the information input code scanning gun.
The automatic auditing module is used for automatically auditing the information input by the information input module, and the automatic auditing module is arranged to conveniently audit the tax declaring content.
The automatic auditing module is also provided with a key point automatic screenshot module and a screenshot storage module, the key point automatic screenshot module performs screenshot on important data in the auditing process, the screenshot is stored in the screenshot storage module, and the automatic screenshot module and the screenshot storage module are arranged, so that the auditing content of the automatic auditing module can be conveniently searched in the later period.
The automatic audit module is also provided with a self-service spot check module, spot check is carried out on the self-service spot check module according to the content of the automatic audit module, spot check is conveniently carried out on the audit result of the automatic audit module by arranging the self-service spot check module, and the probability of generating error information is reduced.
The settlement module settles the tax declaring result.
The information repository module carries out classified storage with the tax declare after the settlement information, still is provided with the contrast module in the information repository module, and the contrast module is used for the tax declare data of existing tax declare data and information repository original source reason storage to contrast, and the details of the same kind of tax declare information of analysis are through setting up the contrast module, conveniently contrast current tax declare information and tax declare information in the past, and the staff of being convenient for carries out contrastive analysis to the same kind of tax declare information, reduces staff's intensity of labour.
The information storage module also comprises a self-service query module, keywords are input into the self-service query module and used for querying related tax declaring information, the keywords are input on the terminal by using the self-service query module, the keywords are searched in the information storage module, and meanwhile, the tax declaring progress can also be queried according to the self-service query module, so that people can conveniently check the tax declaring progress.
The method comprises the following steps:
and S1, filling the tax declaration form of the user according to the requirement by the user, and recording the tax declaration form of the user into the information recording module by using the information recording code scanning gun.
And S2, after the tax information to be reported is input, automatically auditing the tax information by the automatic auditing module, and capturing the key point information by the key point automatic capturing module in the automatic auditing process and storing the key point information into the capturing repository.
And S3, the automatic auditing module settles the tax declaring information after the tax declaring information is approved, and the settled result is stored in the information storage module after settlement.
And S4, comparing the result of the current settlement tax declaring information with the original same tax declaring information in the information repository module.
And when the tax return information is not checked by the automatic checking module in the S3, returning to the S1, performing self-service check on the checking result of the automatic checking module in the S3 by the self-service check module, directly and automatically inputting the information repository module and making a corresponding check record if the check is passed in the self-service check process, manually checking the information on the tax return information table of the user if the check is not passed, directly returning to the original unit for correction if the information filled in the tax return information table of the user is wrong, returning to the S1 again if the information is not wrong, and performing secondary entry under the condition of manual monitoring.
The information storage library module is also provided with a plurality of tax return type storage modules, and the tax return types are respectively stored in each corresponding tax return type storage module according to the tax return types, and each tax return type storage module is also provided with a plurality of tax return amount classified storage modules, the storage interval of each tax return amount classified storage module is sequentially increased by taking one ten-thousand yuan as a reference, through the tax return type storage module, the tax return information can be classified and stored according to the tax return types, and then the tax return amount classified storage modules are respectively stored according to the tax return amounts, so that the situation that excessive tax return information exists in each tax return type storage module is prevented, and the later-stage inquiry and inspection are influenced, and the later-stage search is also facilitated.
In the invention, tax return information is input by an information input module and then enters an automatic auditing module, in the process of automatic auditing, key points are automatically captured by an automatic key point capture module and automatically stored in a capture storage module, so that later-stage searching is facilitated, after the automatic auditing module passes auditing, the key points directly enter a settlement module to settle tax return information, the information of the tax returns is automatically stored in an information repository module after settlement, the same tax return information stored in a previous information repository is called out and compared with the current tax return information, and a worker can compare and analyze the same tax return information conveniently.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. An artificial intelligence financial SaaS automatic tax declaring method is characterized in that: the system comprises an information input module, an automatic auditing module, a settlement module and an information repository module;
the information input module comprises a user tax declaration statement and an information input code scanning gun;
the automatic auditing module is used for automatically auditing the information input by the information input module, and the automatic auditing module is also provided with a key point automatic screenshot module and a screenshot storage module;
the settlement module is used for settling the tax declaring result;
the information repository module is used for storing the settled tax declaring information in a classified manner, and a comparison module is also arranged in the information repository module;
the method comprises the following steps:
s1, filling the tax declaration form of the user according to the requirement by the user, and recording the tax declaration form of the user into the information recording module by using the information recording code scanning gun;
s2, after the tax information to be reported is input, the tax information is automatically checked by the automatic checking module, and in the process of automatic checking, the key point automatic screenshot module captures the key point information and stores the key point information into the screenshot repository;
s3, the automatic auditing module settles the tax return information after the tax return information is approved, and the settled result is stored in the information repository module after settlement;
and S4, comparing the result of the current settlement tax declaring information with the original same tax declaring information in the information repository module.
2. The method for automatic tax return of artificial intelligence financial, SaaS, according to claim 1, wherein: the key point automatic screenshot module carries out screenshot on important data in the process of auditing and stores the screenshot in the screenshot storage module.
3. The method for automatic tax return of artificial intelligence financial, SaaS, according to claim 1, wherein: the automatic auditing module is also provided with a self-service spot check module which performs spot check according to the content of the automatic auditing module.
4. The method for automatic tax return of artificial intelligence financial, SaaS, according to claim 1, wherein: the comparison module is used for comparing the current tax declaring data with the tax declaring data which is originally stored in the information repository and analyzing the details of the same kind of tax declaring information.
5. The method for automatic tax return of artificial intelligence financial, SaaS, according to claim 1, wherein: the information storage library module also comprises a self-service query module, and keywords are input in the self-service query module and are used for querying related tax declaring information.
6. The method for automatic tax return of artificial intelligence financial, SaaS, according to claim 1, wherein: and when the tax return information is not approved by the automatic auditing module in the S3, returning to the S1, carrying out self-service spot check on the auditing result of the automatic auditing module in the S3 by the self-service spot check module, and directly returning to the S1 if the spot check is not passed.
7. The method for automatic tax return of artificial intelligence financial, SaaS, according to claim 1, wherein: the information storage library module is also provided with a plurality of tax return type storage modules, the tax return type storage modules are respectively stored in each corresponding tax return type storage module according to the type of tax return, each tax return type storage module is also provided with a plurality of tax return amount classified storage modules, and the storage interval of each tax return amount classified storage module is sequentially increased by taking one ten-thousand yuan as a reference.
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| CN202011384833.4A CN112419033A (en) | 2020-12-02 | 2020-12-02 | Method for automatically declaring tax through artificial intelligence financial software as a service (SaaS) |
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| CN202011384833.4A CN112419033A (en) | 2020-12-02 | 2020-12-02 | Method for automatically declaring tax through artificial intelligence financial software as a service (SaaS) |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018067246A (en) * | 2016-10-21 | 2018-04-26 | 株式会社さとふる | Final income tax return support processing device for hometown taxpayer, final income tax return support processing program, and final income tax return support processing system |
| CN110704454A (en) * | 2019-10-15 | 2020-01-17 | 重庆远见信息产业集团有限公司 | Report data acquisition system and method |
| CN111192014A (en) * | 2019-12-29 | 2020-05-22 | 南京云帐房网络科技有限公司 | Batch enterprise tax declaration checking method |
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- 2020-12-02 CN CN202011384833.4A patent/CN112419033A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018067246A (en) * | 2016-10-21 | 2018-04-26 | 株式会社さとふる | Final income tax return support processing device for hometown taxpayer, final income tax return support processing program, and final income tax return support processing system |
| CN110704454A (en) * | 2019-10-15 | 2020-01-17 | 重庆远见信息产业集团有限公司 | Report data acquisition system and method |
| CN111192014A (en) * | 2019-12-29 | 2020-05-22 | 南京云帐房网络科技有限公司 | Batch enterprise tax declaration checking method |
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