Intelligent bidding implementation method and device based on AI and RPA

Abstract

The invention relates to the technical field of robot process automation and artificial intelligence, and discloses an AI and RPA-based intelligent bidding realization method and device, and the method comprises the steps: collecting bidding demand information corresponding to a target bidding object displayed in a bidding system after the bidding system is logged in based on a bidding authorization account, determining a bidding information collection object according to the bidding demand information, determining a bidding information collection channel corresponding to the bidding information collection object, executing a bidding information collection operation according to the bidding information collection object and the bidding information collection channel to obtain bidding information, and processing the bidding information according to the bidding demand information to obtain the bidding information. And comprehensive bidding information is obtained, and the comprehensive bidding information is fed back according to preset bidding requirement information. It can be seen that the bidding information can be intelligently and automatically collected, the bidding information collection efficiency, accuracy and safety are improved, then the bidding efficiency and accuracy are improved, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical fields of robotic process automation and artificial intelligence, and particularly to a method and device for intelligent implementation of bidding based on AI and RPA. Background Art

[0002] Today, with the rapid development of the digital economy, the market environment of the bidding industry is also changing rapidly, and enterprises' demand for refined operation of bidding business is becoming increasingly urgent. In the bidding process, a large number of repetitive tasks are involved, such as obtaining project information from various bidding platforms, sorting out data in bidding documents, preparing bidding reports, and submitting bidding documents according to fixed processes. These work processes are fixed and cumbersome, with a huge amount of data, lacking creativity and consuming a large amount of human and time costs of enterprises.

[0003] Traditional manual processing methods not only have low efficiency, but also are prone to problems such as data errors and process mistakes, making it difficult to meet the key needs of enterprises in cost reduction and efficiency improvement in the bidding process. Therefore, it is particularly important to propose a technical solution that can improve the efficiency and accuracy of bid information collection, and thus improve the efficiency and accuracy of bidding. Summary of the Invention

[0004] The present invention provides a method and device for intelligent implementation of bidding based on AI and RPA, which can help improve the efficiency and accuracy of bid information collection, and thus improve the efficiency and accuracy of bidding.

[0005] To solve the above technical problems, in a first aspect of the present invention, a method for intelligent implementation of bidding based on AI and RPA is disclosed, and the method includes: After logging in to the bidding system based on the bidding authorized account, collecting the bidding requirement information corresponding to the target bidding object displayed in the bidding system; Determining the bid information collection object according to the bidding requirement information, and determining the bid information collection channel corresponding to the bid information collection object; Performing a bid information collection operation according to the bid information collection object and the bid information collection channel to obtain bid information; Processing the bid information according to the bidding requirement information to obtain comprehensive bid information, and feeding back the comprehensive bid information according to the preset bid requirement information.

[0006] As an optional implementation manner, in the first aspect of the present invention, the method further includes: Obtaining preset pre-collection object information, where the pre-collection object information includes a pre-collection object and a pre-collection interval duration; Perform pre - collection operation of tender information on the pre - collection object according to the pre - collection interval duration, obtain pre - collected tender information, and save the pre - collected tender information to a preset tender information database according to the pre - collection interval duration. The pre - collected tender information includes social security certificate information and / or qualification certificate information; And, performing the tender information collection operation according to the tender information collection object and the tender information collection channel to obtain tender information, including: Screen the stored tender information in the tender information database that matches the tender information collection object; When the stored tender information does not exist in the tender information database or the stored tender information does not meet the tender information collection completion conditions corresponding to the tender information collection object, perform the tender information collection operation according to the tender information collection channel to obtain tender information.

[0007] As an alternative implementation, in the first aspect of the present invention, the tender information collection object includes at least one tender information collection sub - object; When the stored tender information does not exist in the tender information database or the stored tender information does not meet the tender information collection completion conditions corresponding to the tender information collection object, performing the tender information collection operation according to the tender information collection channel to obtain tender information, including: For each tender information collection sub - object, determine whether there is an information collection history record of the tender information collection channel corresponding to the tender information collection sub - object stored in the tender information database; For each tender information collection sub - object, when the information collection history record is stored in the tender information database, generate a first information collection strategy corresponding to the tender information collection sub - object according to the information collection history record; For each tender information collection sub - object, when the information collection history record is not stored in the tender information database, obtain the information acquisition guidance steps input by the user in the tender information collection channel corresponding to the tender information collection sub - object, and generate a second information collection strategy corresponding to the tender information collection sub - object according to the information acquisition guidance steps, and store the second information collection strategy in the tender information database; Perform the tender information collection operation in the tender information collection channel according to the first information collection strategy or the second information collection strategy to obtain tender information.

[0008] As an alternative implementation, in the first aspect of the present invention, collecting the tender demand information corresponding to the target tender object displayed in the tendering and bidding system, including: Based on a preset tender requirement collection step, collect the tender requirement information displayed in the tendering and bidding system that matches the target tender object, and extract the keyword information from the tender requirement information. The tender requirement information includes image information and / or text information; Judge whether the tender requirement information meets the preset tender requirement integrity condition according to the keyword information. When the tender requirement information meets the tender requirement integrity condition, determine the tender requirement information corresponding to the target tender object according to the keyword information; When the tender requirement information does not meet the tender requirement integrity condition, obtain the supplementary tender requirement information input by the user, and determine the tender requirement information corresponding to the target tender object according to the keyword information and the supplementary tender requirement information.

[0009] As an optional implementation manner, in the first aspect of the present invention, the method further includes: Determine the tender content requirement information according to the tender requirement information. The tender content requirement information includes tender content integrity requirement information and tender content timeliness requirement information; Perform information recognition on the tender information to obtain an information recognition result. The information recognition result includes an image information recognition result and / or a text information recognition result; Analyze the tender information content parameters of the tender information according to the information recognition result, and judge whether the tender information content parameters meet the tender content requirement information. The tender information content parameters include tender information integrity parameters and tender information timeliness parameters; When the tender information content parameters meet the tender content requirement information, trigger the operation of processing the tender information according to the tender requirement information. When the tender information content parameters do not meet the tender content requirement information, determine the parameter difference between the tender information content parameters and the tender content requirement information, and perform a secondary tender information collection operation according to the parameter difference and the tender information collection channel.

[0010] As an optional implementation manner, in the first aspect of the present invention, the tender requirement information includes tender format requirement information; The processing of the tender information according to the tender requirement information to obtain comprehensive tender information includes: Perform a format conversion operation on the tender information according to the tender format requirement information to obtain the first tender information that meets the tender format requirement information; Add a preset identification label to the first tender information to obtain comprehensive tender information. The identification label includes a watermark label.

[0011] As an alternative implementation, in the first aspect of the present invention, the feedback of the comprehensive tender information according to the preset tender requirement information includes: Obtain the preset tender requirement information, where the tender requirement information includes tender time information and the tender information feedback method; According to the tender time information, determine the tender information feedback time node, and feedback the comprehensive tender information before the tender information feedback time node according to the tender information feedback method.

[0012] The second aspect of the present invention discloses a device for intelligent tender implementation based on AI and RPA, and the device includes: An acquisition module, configured to acquire the tender demand information corresponding to the target tender object displayed in the tendering and bidding system after logging in to the tendering and bidding system based on the tender authorization account; A determination module, configured to determine the tender information collection object according to the tender demand information, and determine the tender information collection channel corresponding to the tender information collection object; A collection module, configured to perform a tender information collection operation according to the tender information collection object and the tender information collection channel to obtain tender information; A processing module, configured to process the tender information according to the tender demand information to obtain comprehensive tender information, and feedback the comprehensive tender information according to the preset tender requirement information.

[0013] As an alternative implementation, in the second aspect of the present invention, the device further includes: An acquisition module, configured to acquire the preset pre-collection object information, where the pre-collection object information includes the pre-collection object and the pre-collection interval duration; The collection module is further configured to perform a pre-collection operation of tender information on the pre-collection object according to the pre-collection interval duration to obtain pre-collected tender information, and save the pre-collected tender information to a preset tender information database according to the pre-collection interval duration, where the pre-collected tender information includes social insurance certificate information and / or qualification certificate information; And the manner in which the collection module performs a tender information collection operation according to the tender information collection object and the tender information collection channel to obtain tender information specifically includes: Screen the stored tender information matching the tender information collection object in the tender information database; When the stored tender information does not exist in the tender information database or the stored tender information does not meet the tender information collection completion condition corresponding to the tender information collection object, perform a tender information collection operation according to the tender information collection channel to obtain tender information.

[0014] As an alternative implementation manner, in the second aspect of the present invention, the tender information collection object includes at least one tender information collection sub-object; The manner in which the collection module performs a tender information collection operation according to the tender information collection channel to obtain tender information specifically includes: When the stored tender information does not exist in the tender information database or the stored tender information does not meet the tender information collection completion condition corresponding to the tender information collection object, for each of the tender information collection sub-objects, determine whether there is a stored information collection history record of the tender information collection channel corresponding to the tender information collection sub-object in the tender information database; For each of the tender information collection sub-objects, when the information collection history record is stored in the tender information database, generate a first information collection strategy corresponding to the tender information collection sub-object according to the information collection history record; For each of the tender information collection sub-objects, when the information collection history record is not stored in the tender information database, obtain the information acquisition guiding steps input by the user in the tender information collection channel corresponding to the tender information collection sub-object, generate a second information collection strategy corresponding to the tender information collection sub-object according to the information acquisition guiding steps, and store the second information collection strategy in the tender information database; Perform a tender information collection operation in the tender information collection channel according to the first information collection strategy or the second information collection strategy to obtain tender information.

[0015] As an alternative implementation manner, in the second aspect of the present invention, the manner in which the acquisition module acquires the tender requirement information corresponding to the target tender object displayed in the tendering and bidding system specifically includes: Based on the preset tender requirement acquisition steps, acquire the tender requirement information matching the target tender object displayed in the tendering and bidding system, and extract the keyword information in the tender requirement information, where the tender requirement information includes image information and / or text information; Judge whether the tender requirement information meets the preset tender requirement integrity condition according to the keyword information. When the tender requirement information meets the tender requirement integrity condition, determine the tender requirement information corresponding to the target tender object according to the keyword information; When the tender requirement information does not meet the tender requirement integrity condition, obtain the supplementary tender requirement information input by the user, and determine the tender requirement information corresponding to the target tender object according to the keyword information and the supplementary tender requirement information.

[0016] As an optional implementation manner, in the second aspect of the present invention, the determination module is further configured to determine bid content requirement information according to the tender requirement information, where the bid content requirement information includes bid content integrity requirement information and bid content timeliness requirement information; The device further includes: An identification module, configured to perform information identification on the bid information to obtain an information identification result, where the information identification result includes an image information identification result and / or a text information identification result; An analysis module, configured to analyze bid information content parameters of the bid information according to the information identification result, and determine whether the bid information content parameters meet the bid content requirement information, where the bid information content parameters include bid information integrity parameters and bid information timeliness parameters; when the bid information content parameters meet the bid content requirement information, trigger the processing module to perform the operation of processing the bid information according to the tender requirement information; The determination module is further configured to, when the bid information content parameters do not meet the bid content requirement information, determine a parameter difference between the bid information content parameters and the bid content requirement information, and perform a secondary collection operation on the bid information according to the parameter difference and the bid information collection channel.

[0017] As an optional implementation manner, in the second aspect of the present invention, the tender requirement information includes tender format requirement information; The manner in which the processing module processes the bid information according to the tender requirement information to obtain comprehensive bid information specifically includes: Performing a format conversion operation on the bid information according to the tender format requirement information to obtain first bid information that meets the tender format requirement information; Adding a preset identification label to the first bid information to obtain comprehensive bid information, where the identification label includes a watermark label.

[0018] As an optional implementation manner, in the second aspect of the present invention, the manner in which the processing module feeds back the comprehensive bid information according to preset bid requirement information specifically includes: Obtaining preset bid requirement information, where the bid requirement information includes bid time information and a bid information feedback method; Determining a bid information feedback time node according to the bid time information, and feeding back the comprehensive bid information before the bid information feedback time node according to the bid information feedback method.

[0019] The third aspect of the present invention discloses another bid intelligent implementation device based on AI and RPA, where the device includes: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory and executes the method for intelligent implementation of bidding based on AI and RPA disclosed in the first aspect of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions which, when called, are used to execute the method for intelligent implementation of bidding based on AI and RPA disclosed in the first aspect of the present invention.

[0021] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In the embodiments of the present invention, after logging in to the bidding and tendering system based on the bidding authorization account, the bidding requirement information corresponding to the target tender object displayed in the bidding and tendering system is collected, the object for collecting bidding information is determined according to the bidding requirement information, the corresponding channel for collecting bidding information for the object for collecting bidding information is determined, the operation for collecting bidding information is performed according to the object for collecting bidding information and the channel for collecting bidding information to obtain the bidding information, the bidding information is processed according to the bidding requirement information to obtain the comprehensive bidding information, and the comprehensive bidding information is fed back according to the preset bidding requirement information. It can be seen that implementing the present invention can achieve intelligent and automated collection of bidding information, improve the efficiency, accuracy and security of bidding information collection, thereby improving the bidding efficiency and accuracy and enhancing the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for description in the embodiments. Obviously, the following drawings are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0023] Figure 1 is a flowchart of a method for intelligent implementation of bidding based on AI and RPA disclosed in an embodiment of the present invention; Figure 2 is a structural diagram of an AI+RPA bidding assistant disclosed in an embodiment of the present invention; Figure 3 is a flowchart of another method for intelligent implementation of bidding based on AI and RPA disclosed in an embodiment of the present invention; Figure 4 is a structural diagram of a device for intelligent implementation of bidding based on AI and RPA disclosed in an embodiment of the present invention; Figure 5It is a schematic structural diagram of another device for intelligent implementation of bidding based on AI and RPA disclosed in an embodiment of the present invention; Figure 6 It is a schematic structural diagram of yet another device for intelligent implementation of bidding based on AI and RPA disclosed in an embodiment of the present invention. Detailed implementation manners

[0024] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0025] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or terminal including a series of steps or units is not limited to the listed steps or units, but optionally further includes unlisted steps or units, or optionally further includes other steps or units inherent to these processes, methods, products or terminals.

[0026] Referring to "embodiment" herein means that a specific feature, structure or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0027] The present invention discloses a method and device for intelligent implementation of bidding based on AI and RPA, which can realize intelligent and automatic collection of bidding information, improve the efficiency, accuracy and security of bidding information collection, and further improve the bidding efficiency and accuracy, and improve the user experience. The following will be described in detail respectively.

[0028] Embodiment 1 Please refer to Figure 1 , Figure 1 It is a schematic flowchart of a method for intelligent implementation of bidding based on AI and RPA disclosed in an embodiment of the present invention. Among them, Figure 1The described AI and RPA-based method for realizing tender intelligence can be applied to an AI and RPA-based device for realizing tender intelligence. The AI and RPA-based device for realizing tender intelligence may include an intelligent server or an intelligent platform. The intelligent server includes a local server or a cloud server, which is not limited in the embodiments of the present invention. As Figure 1 shown, the AI and RPA-based method for realizing tender intelligence may include the following operations: 101. After logging in to the bidding and tendering system based on the tender authorization account, collect the tender requirement information corresponding to the target tender object displayed in the bidding and tendering system.

[0029] In the embodiments of the present invention, optionally, after logging in to the bidding and tendering system based on the tender authorization account, the tender requirement information corresponding to the target tender object displayed in the bidding and tendering system can be collected through a preset AI+RPA tender assistant. Among them, RPA (Robotic Process Automation) represents robotic process automation technology. It is a technology that simulates the interaction between humans and computer systems through software robots. Specifically, it can simulate human operations by identifying user interface (UI) elements. They can record the operation steps of users in software applications, such as the operation sequence of mouse clicks and keyboard inputs, and then automatically repeat the same process according to these records to automatically execute repetitive and regular tasks. These software robots can operate application programs like human users, such as logging in to the system, copying and pasting data, filling out forms, sending emails, etc.

[0030] In the embodiments of the present invention, optionally, as Figure 2 shown, Figure 2 is a schematic structural diagram of an AI+RPA tender assistant disclosed in the embodiments of the present invention. As Figure 2As shown in the figure, the AI+RPA tender assistant may include a process recording module, a lead transfer module, a data interface, an application management module, a data and command receiving module, a command execution module, a HOOK module, a BHO module, an Ext module, and an image recognition module. The AI+RPA tender assistant can achieve data scraping and input, scrape data from pages and Windows applications and fill data into pages and Windows applications, etc., to achieve cross-system, cross-application, and interaction among multiple Web systems, interaction among multiple Windows application software, and interaction between Web and Windows application software, to achieve file processing, such as WPS and Microsoft Office file processing, fftp file upload and download, etc., and to achieve scheduled tasks, and execute tasks according to the established execution plan. The AI+RPA tender assistant has a short investment return period, obvious quantifiable benefits, and the highest investment return rate can usually reach more than 100%; the task execution speed is faster than manual processing speed, up to 7 times at most, and it can work continuously 7×24×365; it enables employees to engage in more valuable tasks, and can automate 50% or even higher tasks; there is no human fatigue operation, excluding irresistible factors and eliminating manual intervention, and a 0 error rate can be achieved; it is applicable to most industries, enterprises from small to large, and processes from simple to complex, and RPA can be competent; round-the-clock operation means a significant reduction in operating costs, up to 50% at most.

[0031] In an embodiment of the present invention, optionally, the target tender object may represent the current corresponding tender project, and the tender requirement information may include one or more combinations of tender content requirement information, tender format requirement information, etc., and the present invention does not make any limitations.

[0032] 102. Determine the tender information collection object according to the tender requirement information, and determine the tender information collection channel corresponding to the tender information collection object.

[0033] In an embodiment of the present invention, optionally, the tender information collection object may include one or more of tender materials such as bank statements, social insurance certificates, cases, qualification certificates, invoices, contracts, etc., and the tender information collection channel may include one or more corresponding websites, software, etc. such as banks, social security bureaus, OA systems, etc., and the present invention does not make any limitations.

[0034] 103. Execute the tender information collection operation according to the tender information collection object and the tender information collection channel to obtain the tender information.

[0035] In an embodiment of the present invention, optionally, the AI+RPA tender assistant may automatically collect the relevant tender information corresponding to the channel in the tender information collection channel according to a preset process, and the preset process may specifically include processes such as login, search, screening, and download, and the present invention does not make any limitations.

[0036] 104. Process the bid information according to the tender requirement information to obtain the comprehensive bid information, and feedback the comprehensive bid information according to the preset bid requirement information.

[0037] In an embodiment of the present invention, optionally, the bid information can be processed according to the tender requirement information, such as one or more of information classification, information numbering, text correction, etc., to obtain the comprehensive bid information, and the comprehensive bid information is feedback according to the preset bid requirement information, which is not limited in the present invention.

[0038] It can be seen that implementing Figure 1 The described method for realizing bid intelligence based on AI and RPA can, after logging in to the bidding and tendering system based on the bid authorization account, collect the tender requirement information corresponding to the target tender object displayed in the bidding and tendering system, determine the bid information collection object according to the tender requirement information, determine the bid information collection channel corresponding to the bid information collection object, execute the bid information collection operation according to the bid information collection object and the bid information collection channel to obtain the bid information, process the bid information according to the tender requirement information to obtain the comprehensive bid information, and feedback the comprehensive bid information according to the preset bid requirement information, which can realize intelligent and automated collection of bid information, improve the efficiency, accuracy and security of bid information collection, and further improve the bid efficiency and accuracy, and improve the user experience.

[0039] In an optional embodiment, collecting the tender requirement information corresponding to the target tender object displayed in the bidding and tendering system may include the following operations: Based on the preset tender requirement collection steps, collect the tender requirement information matching the target tender object displayed in the bidding and tendering system, and extract the keyword information in the tender requirement information. The tender requirement information includes image information and / or text information; Judge whether the tender requirement information meets the preset tender requirement integrity condition according to the keyword information. When the tender requirement information meets the tender requirement integrity condition, determine the tender requirement information corresponding to the target tender object according to the keyword information; When the tender requirement information does not meet the tender requirement integrity condition, obtain the supplementary tender requirement information input by the user, and determine the tender requirement information corresponding to the target tender object according to the keyword information and the supplementary tender requirement information.

[0040] In this alternative embodiment, optionally, the pre-set tender requirement collection steps may be obtained by the AI+RPA tender assistant collecting the user's operations and information such as clicks, inputs, and jumps during the user's use of the tendering and bidding system, and analyzing these operations and information. Alternatively, they may be the tender requirement collection steps for the tendering and bidding system pre-entered by the user in the AI+RPA tender assistant. Based on the pre-set tender requirement collection steps, tender requirement information matching the target tender object displayed in the tendering and bidding system can be collected, and keyword information in the tender requirement information can be extracted. The tender requirement information includes image information and / or text information. Specifically, image recognition and text recognition can be performed on the collected tender requirement information to extract the keyword information in the tender requirement information. This embodiment does not make any limitations in this regard.

[0041] In this alternative embodiment, optionally, it is possible to determine whether the tender requirement information meets the pre-set tender requirement completeness condition based on the keyword information. Specifically, the semantic information corresponding to the keyword information can be analyzed to determine whether the semantic information corresponding to the keyword information completely expresses the tender requirement information corresponding to the target tender object. When the semantic information corresponding to the keyword information does not completely express the tender requirement information corresponding to the target tender object, that is, when the tender requirement information does not meet the tender requirement completeness condition, the tender requirement supplementary information input by the user is obtained, and based on the keyword information and the tender requirement supplementary information, the tender requirement information corresponding to the target tender object is determined. The tender requirement supplementary information input by the user may include one or more combinations of supplementary keywords, key sentences, and key pictures, etc. This embodiment does not make any limitations in this regard.

[0042] It can be seen that implementing this alternative embodiment can collect tender requirement information matching the target tender object displayed in the tendering and bidding system based on the pre-set tender requirement collection steps, extract the keyword information in the tender requirement information, determine whether the tender requirement information meets the pre-set tender requirement completeness condition based on the keyword information. When the tender requirement information meets the tender requirement completeness condition, the tender requirement information corresponding to the target tender object is determined based on the keyword information. When the tender requirement information does not meet the tender requirement completeness condition, the tender requirement supplementary information input by the user is obtained, and based on the keyword information and the tender requirement supplementary information, the tender requirement information corresponding to the target tender object is determined, which can improve the accuracy and reliability of determining the tender requirement information, and further improve the collection efficiency, accuracy, and security of collecting tender information.

[0043] In another alternative embodiment, the intelligent tendering implementation method based on AI and RPA may further include the following operations: Based on the tender requirement information, determine the tender content requirement information, where the tender content requirement information includes tender content completeness requirement information and tender content timeliness requirement information; Perform information recognition on the tender information to obtain an information recognition result, which includes an image information recognition result and / or a text information recognition result; Analyze the tender information content parameters of the tender information according to the information recognition result, and determine whether the tender information content parameters meet the tender content requirement information. The tender information content parameters include a tender information integrity parameter and a tender information timeliness parameter; When the tender information content parameters meet the tender content requirement information, trigger an operation to process the tender information according to the tender demand information. When the tender information content parameters do not meet the tender content requirement information, determine the parameter difference between the tender information content parameters and the tender content requirement information, and perform a secondary collection operation on the tender information according to the parameter difference and the tender information collection channel.

[0044] In this optional embodiment, optionally, the tender content requirement information can be determined according to the tender demand information. The tender content requirement information can include a tender content integrity requirement information and a tender content timeliness requirement information. Taking the social security certificate as an example, the tender content integrity requirement information can include the integrity requirement of the social security certificate, such as a 12 - month consecutive social security certificate, and the tender content timeliness requirement information can include the timeliness requirement of the social security certificate, such as the most recent 12 - month social security certificate. This embodiment is not limited.

[0045] In this optional embodiment, optionally, the collected tender information can be subjected to information recognition to obtain an information recognition result, which can include an image information recognition result and / or a text information recognition result. Analyze the tender information content parameters of the tender information according to the information recognition result, and determine whether the tender information content parameters meet the tender content requirement information. The tender information content parameters can include a tender information integrity parameter and a tender information timeliness parameter. When the tender information content parameters meet the tender content requirement information, trigger an operation to process the tender information according to the tender demand information. When the tender information content parameters do not meet the tender content requirement information, determine the parameter difference between the tender information content parameters and the tender content requirement information. The parameter difference can include an integrity difference and / or a timeliness difference. For example, the integrity difference can include content omission, and the timeliness difference can include non - compliance with the time limit. A secondary collection operation on the tender information can be performed according to the parameter difference and the tender information collection channel. This embodiment is not limited.

[0046] It can be seen that implementing this optional embodiment can determine the requirements information for the tender content based on the tender demand information. The requirements information for the tender content includes the requirements information for the integrity of the tender content and the requirements information for the timeliness of the tender content. The tender information is identified to obtain an information identification result. The tender information content parameters of the tender information are analyzed based on the information identification result, and it is determined whether the tender information content parameters meet the requirements information for the tender content. When the tender information content parameters meet the requirements information for the tender content, an operation of processing the tender information according to the tender demand information is triggered. When the tender information content parameters do not meet the requirements information for the tender content, the parameter difference between the tender information content parameters and the requirements information for the tender content is determined, and a secondary collection operation of the tender information is performed based on the parameter difference and the tender information collection channel. It can identify the collected tender information, determine whether the tender information meets the requirements, improve the accuracy and security of the collected tender information, and further improve the tender efficiency and accuracy, as well as the user experience.

[0047] In yet another optional embodiment, the tender demand information includes tender format demand information; Processing the tender information according to the tender demand information to obtain the comprehensive tender information may include the following operations: Performing a format conversion operation on the tender information according to the tender format demand information to obtain the first tender information that meets the tender format demand information; Adding a preset identification label to the first tender information to obtain the comprehensive tender information, and the identification label includes a watermark label.

[0048] In this optional embodiment, optionally, the tender demand information includes tender format demand information. A format conversion operation can be performed on the tender information according to the tender format demand information to obtain the first tender information that meets the tender format demand information. The tender format demand information may include one or more combinations of table format, text font format, naming format, picture compression format, etc. Adding a preset identification label to the first tender information to obtain the comprehensive tender information, and the identification label includes a watermark label. Specifically, a watermark label can be added to the first tender information based on a preset watermark label format, and this embodiment is not limited.

[0049] It can be seen that implementing this optional embodiment can perform a format conversion operation on the tender information according to the tender format demand information to obtain the first tender information that meets the tender format demand information, and add a preset identification label to the first tender information to obtain the comprehensive tender information, and the identification label includes a watermark label. It can process the collected tender information, improve the efficiency of subsequent tender document collation, and improve the user experience.

[0050] In yet another optional embodiment, feeding back the comprehensive tender information according to the preset tender requirements information may include the following operations: Obtain the preset tender requirement information, where the tender requirement information includes tender time information and the tender information feedback method; According to the tender time information, determine the tender information feedback time node, and feedback the comprehensive tender information before the tender information feedback time node according to the tender information feedback method.

[0051] In this alternative embodiment, optionally, the tender requirement information may include tender time information and the tender information feedback method. The tender time information may represent the tender deadline information, and the tender information feedback method may represent the way the AI+RPA tender assistant feedbacks the tender information to the user. The tender information feedback time node can be determined according to the tender time information. The tender information feedback time node may represent the time when the AI+RPA tender assistant feedbacks the tender information to the user. The comprehensive tender information can be feedback before the tender information feedback time node according to the tender information feedback method. The tender information feedback method may include the email method or the folder method. Specifically, the AI+RPA tender assistant can feedback the tender information to the user by email or save the tender information to a specified folder for the user to download by themselves. This embodiment is not limited.

[0052] It can be seen that implementing this alternative embodiment can obtain the preset tender requirement information, where the tender requirement information includes tender time information and the tender information feedback method. According to the tender time information, determine the tender information feedback time node, and feedback the comprehensive tender information before the tender information feedback time node according to the tender information feedback method, which can improve the accuracy, efficiency and security of tender information feedback and enhance the user experience.

[0053] Embodiment Two Please refer to Figure 3 , Figure 3 which is a schematic flowchart of a method for intelligent implementation of tendering based on AI and RPA disclosed in an embodiment of the present invention. Among them, Figure 3 The described method for intelligent implementation of tendering based on AI and RPA can be applied to a device for intelligent implementation of tendering based on AI and RPA. The device for intelligent implementation of tendering based on AI and RPA may include an intelligent server or an intelligent platform. The intelligent server includes a local server or a cloud server. This embodiment of the present invention is not limited. As Figure 3 shown, the method for intelligent implementation of tendering based on AI and RPA may include the following operations: 201. After logging in to the bidding and tendering system based on the tender authorization account, collect the tender demand information corresponding to the target tender object displayed in the bidding and tendering system.

[0054] 202. Determine the objects for collecting tender information according to the tender demand information, and determine the corresponding tender information collection channels for the objects of collecting tender information.

[0055] 203. Obtain the preset information of pre-collection objects, where the information of pre-collection objects includes pre-collection objects and the pre-collection interval duration.

[0056] In an embodiment of the present invention, optionally, the information of pre-collection objects can be preset by the user in the AI+RPA tender assistant. The information of pre-collection objects can include pre-collection objects and the pre-collection interval duration. The pre-collection objects can include data objects updated at fixed times on fixed channels, such as social security certificates updated monthly on the social security website and / or qualification certification materials updated every six months / year, etc. The pre-collection interval duration corresponding to each pre-collection object can be the same or different. For example, the pre-collection interval duration can be one month, and the present invention does not make any limitation.

[0057] 204. According to the pre-collection interval duration, perform a pre-collection operation of tender information on the pre-collection objects to obtain pre-collected tender information, and save the pre-collected tender information to a preset tender information database according to the pre-collection interval duration.

[0058] In an embodiment of the present invention, optionally, the pre-collection operation of tender information can be performed at intervals of the pre-collection interval duration on the tender information collection channels corresponding to the pre-collection objects to obtain pre-collected tender information. Moreover, the pre-collected tender information can be saved to a preset tender information database according to the acquisition time sequence of the pre-collected tender information, that is, the pre-collected tender information can be saved to a preset tender information database according to the pre-collection interval duration. Further, when storing the pre-collected tender information, the type of the pre-collected tender information can be analyzed and classified for storage according to the type of the pre-collected tender information. The type of the pre-collected tender information can include text type, picture type, etc., and the present invention does not make any limitation.

[0059] It should be noted that the order of occurrence of steps 203-204 and steps 201-202 has no sequence relationship, that is, they can occur simultaneously or in a front-back position. It should be noted that when steps 203-204 and steps 201-202 are executed simultaneously, the efficiency of collecting tender information is higher.

[0060] 205. Screen the stored tender information that matches the tender information collection objects in the tender information database.

[0061] In an embodiment of the present invention, optionally, the tender information collection objects can be matched with the data in the tender information database to screen the stored tender information that matches the tender information collection objects in the tender information database.

[0062] 206. When there is no stored tender information in the tender information database or the stored tender information does not meet the tender information collection completion conditions corresponding to the tender information collection object, perform a tender information collection operation according to the tender information collection channels to obtain the tender information.

[0063] In an embodiment of the present invention, optionally, when there is no stored tender information in the tender information database or the stored tender information does not meet the tender information collection completion conditions corresponding to the tender information collection object, perform a tender information collection operation according to the tender information collection channels to obtain the tender information. Specifically, when there is no stored tender information in the tender information database that matches the tender information collection object, perform a tender information collection operation according to the tender information collection channels to obtain the tender information; or, when there is stored tender information in the tender information database that matches the tender information collection object, but the stored tender information does not meet the tender information collection completion conditions corresponding to the tender information collection object, perform a tender information collection operation according to the tender information collection channels to obtain the tender information. The stored tender information not meeting the tender information collection completion conditions corresponding to the tender information collection object may specifically include that the content integrity and / or timeliness of the stored tender information do not meet the tender information collection completion conditions corresponding to the tender information collection object. For example, when the target tender information needs to include the employee social security records for the past six months, and the stored tender information only includes the employee social security records for four months, it is determined that the stored tender information does not meet the tender information collection completion conditions corresponding to the tender information collection object. The present invention does not make any limitations.

[0064] In an embodiment of the present invention, optionally, when there is stored tender information in the tender information database that matches the tender information collection object and the stored tender information meets the tender information collection completion conditions corresponding to the tender information collection object, determine the stored tender information as the tender information. The present invention does not make any limitations.

[0065] 207. Process the tender information according to the tender invitation requirement information to obtain the comprehensive tender information, and feedback the comprehensive tender information according to the preset tender requirement information.

[0066] In an embodiment of the present invention, for other descriptions of step 201, step 202, and step 207, please refer to the detailed descriptions of step 101, step 102, and step 104 in Embodiment 1 of the present invention. The embodiments of the present invention will not be elaborated here.

[0067] It can be seen that implementing Figure 3The described AI- and RPA-based method for realizing bid intelligence can, after logging in to the bidding and tendering system based on the bid authorization account, collect the tendering requirements information corresponding to the target tendering object displayed in the bidding and tendering system, determine the bid information collection object according to the tendering requirements information, and determine the bid information collection channels corresponding to the bid information collection object, obtain the preset pre-collection object information, where the pre-collection object information includes the pre-collection object and the pre-collection interval duration, perform the bid information pre-collection operation on the pre-collection object according to the pre-collection interval duration to obtain the pre-collected bid information, and save the pre-collected bid information to the preset bid information database according to the pre-collection interval duration, which can perform timed collection and storage of the preset information, improve the efficiency of collecting bid information, and reduce the workload of the AI+RPA bid assistant. Screen the stored bid information in the bid information database that matches the bid information collection object. When there is no stored bid information in the bid information database or the stored bid information does not meet the bid information collection completion conditions corresponding to the bid information collection object, perform the bid information collection operation according to the bid information collection channels to obtain the bid information, which can improve the efficiency of bid information collection and reduce the information query and download time. Process the bid information according to the tendering requirements information to obtain the comprehensive bid information, and feedback the comprehensive bid information according to the preset bid requirement information, which can realize intelligent and automated collection of bid information, improve the efficiency, accuracy, and security of bid information collection, and further improve the bid efficiency and accuracy, and improve the user experience.

[0068] In an optional embodiment, the bid information collection object includes at least one bid information collection sub-object; When there is no stored bid information in the bid information database or the stored bid information does not meet the bid information collection completion conditions corresponding to the bid information collection object, performing the bid information collection operation according to the bid information collection channels to obtain the bid information includes: For each bid information collection sub-object, determine whether there is a historical record of information collection for the bid information collection channel corresponding to the bid information collection sub-object stored in the bid information database; For each bid information collection sub-object, when there is a historical record of information collection stored in the bid information database, generate a first information collection strategy corresponding to the bid information collection sub-object according to the historical record of information collection; For each bid information collection sub-object, when there is no historical record of information collection stored in the bid information database, obtain the information acquisition guidance steps input by the user in the bid information collection channel corresponding to the bid information collection sub-object, and generate a second information collection strategy corresponding to the bid information collection sub-object according to the information acquisition guidance steps, and store the second information collection strategy in the bid information database; Perform a tender information collection operation on the tender information collection channel according to the first information collection strategy or the second information collection strategy to obtain tender information.

[0069] In this optional embodiment, optionally, the tender information collection object includes at least one tender information collection sub-object. Specifically, the tender information collection object may include one or more of tender materials such as bank statements, social insurance certificates, cases, qualification certificates, invoices, contracts, etc. This embodiment does not make any limitations.

[0070] In this optional embodiment, optionally, for each tender information collection sub-object, it is possible to determine whether there is an information collection history record of the tender information collection channel corresponding to the tender information collection sub-object stored in the tender information database. The information collection history record may specifically include the specific operation steps and / or processes of the user and / or the AI+RPA tender assistant when collecting and downloading the tender information collection sub-object in the tender information collection channel, as well as one or more combinations of the basic information used in the specific operation steps, such as login account password information, search keyword information, and link jump information, etc. This embodiment does not make any limitations.

[0071] In this optional embodiment, optionally, for each tender information collection sub-object, when there is no information collection history record stored in the tender information database, that is, there is no record of the specific operation steps and / or processes of the user and / or the AI+RPA tender assistant when collecting and downloading the tender information collection sub-object in the tender information collection channel, that is, the tender information collection sub-object is a newly emerged object. At this time, the user can be notified to input information acquisition guidance steps. The information acquisition guidance steps may include the specific operation steps and / or processes of the user when collecting and downloading the tender information collection sub-object in the tender information collection channel corresponding to the tender information collection sub-object, and / or the precautions or step description explanations input by the user for each specific operation step and / or process. After obtaining the information acquisition guidance steps input by the user in the tender information collection channel corresponding to the tender information collection sub-object, generate the second information collection strategy corresponding to the tender information collection sub-object according to the information acquisition guidance steps and store the second information collection strategy in the tender information database. The first information collection strategy and the second information collection strategy may include the specific operation steps and / or processes of collection and download, as well as the precautions corresponding to each specific operation step and / or process. The tender information collection operation can be performed on the tender information collection channel according to the first information collection strategy or the second information collection strategy to obtain tender information. This embodiment does not make any limitations.

[0072] It can be seen that implementing this optional embodiment can determine, for each bid information collection sub-object, whether there is an information collection history record of the bid information collection channel corresponding to the bid information collection sub-object stored in the bid information database. For each bid information collection sub-object, when there is an information collection history record stored in the bid information database, a first information collection strategy corresponding to the bid information collection sub-object is generated according to the information collection history record. For each bid information collection sub-object, when there is no information collection history record stored in the bid information database, the information acquisition guidance steps input by the user in the bid information collection channel corresponding to the bid information collection sub-object are obtained, and a second information collection strategy corresponding to the bid information collection sub-object is generated according to the information acquisition guidance steps, and the second information collection strategy is stored in the bid information database. According to the first information collection strategy or the second information collection strategy, a bid information collection operation is performed in the bid information collection channel to obtain bid information, and the bid information collection operation can be performed based on the stored records, and when there are no records, the bid information collection operation is performed based on the user's guidance steps, improving the efficiency and accuracy of collecting bid information.

[0073] Embodiment III Please refer to Figure 4 , Figure 4 FIG. is a schematic structural diagram of a bid intelligent implementation device based on AI and RPA disclosed in an embodiment of the present invention. Among them, Figure 4 The described bid intelligent implementation device based on AI and RPA may include an intelligent server or an intelligent platform. The intelligent server includes a local server or a cloud server, which is not limited in the embodiments of the present invention. As Figure 4 shown, the bid intelligent implementation device based on AI and RPA may include: An acquisition module 301, configured to acquire, after logging in to the bidding and tendering system based on a bid authorization account, the tendering requirements information corresponding to the target tendering object displayed in the bidding and tendering system; A determination module 302, configured to determine a bid information collection object according to the tendering requirements information, and determine the bid information collection channel corresponding to the bid information collection object; A collection module 303, configured to perform a bid information collection operation according to the bid information collection object and the bid information collection channel to obtain bid information; A processing module 304, configured to process the bid information according to the tendering requirements information to obtain comprehensive bid information, and feedback the comprehensive bid information according to the preset tendering requirement information.

[0074] It can be seen that implementing Figure 4The described AI- and RPA-based bid intelligent implementation device can, after logging in to the bidding and tendering system based on a bid authorization account, collect the tendering requirements information corresponding to the target tendering object displayed in the bidding and tendering system, determine the bid information collection object according to the tendering requirements information, and determine the bid information collection channel corresponding to the bid information collection object. It performs the bid information collection operation according to the bid information collection object and the bid information collection channel to obtain bid information, processes the bid information according to the tendering requirements information to obtain comprehensive bid information, and feeds back the comprehensive bid information according to the preset bid requirement information. It can realize intelligent and automated collection of bid information, improve the efficiency, accuracy, and security of bid information collection, thereby improving the bid efficiency and accuracy and enhancing the user experience.

[0075] In an alternative embodiment, as Figure 5 shown, the AI- and RPA-based bid intelligent implementation device may further include: An acquisition module 305, configured to acquire preset pre-collection object information, where the pre-collection object information includes a pre-collection object and a pre-collection interval duration; A collection module 303 is further configured to perform a pre-collection operation of bid information on the pre-collection object according to the pre-collection interval duration to obtain pre-collected bid information, and save the pre-collected bid information to a preset bid information database according to the pre-collection interval duration. The pre-collected bid information includes social security certificate information and / or qualification certificate information; Moreover, the specific manner in which the collection module 303 performs the bid information collection operation according to the bid information collection object and the bid information collection channel to obtain bid information includes: Screening the stored bid information in the bid information database that matches the bid information collection object; When there is no stored bid information in the bid information database or the stored bid information does not meet the bid information collection completion condition corresponding to the bid information collection object, performing the bid information collection operation according to the bid information collection channel to obtain bid information.

[0076] It can be seen that implementing Figure 5The described AI and RPA-based bid intelligent implementation device can, after logging in to the bidding and tendering system based on the bid authorization account, collect the bidding requirement information corresponding to the target tender object displayed in the bidding and tendering system, determine the bid information collection object according to the bidding requirement information, and determine the bid information collection channel corresponding to the bid information collection object, obtain the preset pre-collection object information, where the pre-collection object information includes the pre-collection object and the pre-collection interval duration, perform the pre-collection operation of bid information on the pre-collection object according to the pre-collection interval duration, obtain the pre-collected bid information, and save the pre-collected bid information to the preset bid information database according to the pre-collection interval duration, which can perform timed collection and storage of the preset information, improve the efficiency of collecting bid information, and reduce the working intensity of the AI+RPA bid assistant. Screen the stored bid information in the bid information database that matches the bid information collection object. When there is no stored bid information in the bid information database or the stored bid information does not meet the bid information collection completion condition corresponding to the bid information collection object, perform the bid information collection operation according to the bid information collection channel to obtain the bid information, which can improve the efficiency of collecting bid information and reduce the information query and download time. Process the bid information according to the bidding requirement information to obtain the comprehensive bid information, and feedback the comprehensive bid information according to the preset bid requirement information, which can realize intelligent and automated collection of bid information, improve the efficiency, accuracy and security of collecting bid information, and thus improve the bid efficiency and accuracy and the user experience.

[0077] In another alternative embodiment, as Figure 5 shown, the bid information collection object includes at least one bid information collection sub-object; The specific manner in which the collection module 303 performs the bid information collection operation according to the bid information collection channel to obtain the bid information includes: When there is no stored bid information in the bid information database or the stored bid information does not meet the bid information collection completion condition corresponding to the bid information collection object, for each bid information collection sub-object, determine whether there is a historical record of information collection for the bid information collection channel corresponding to the bid information collection sub-object stored in the bid information database; For each bid information collection sub-object, when there is a historical record of information collection stored in the bid information database, generate a first information collection strategy corresponding to the bid information collection sub-object according to the historical record of information collection; For each bid information collection sub-object, when there is no historical record of information collection stored in the bid information database, obtain the information acquisition guidance steps input by the user in the bid information collection channel corresponding to the bid information collection sub-object, and generate a second information collection strategy corresponding to the bid information collection sub-object according to the information acquisition guidance steps, and store the second information collection strategy in the bid information database; Perform a tender information collection operation on the tender information collection channel according to the first information collection strategy or the second information collection strategy to obtain tender information.

[0078] It can be seen that the implementation Figure 5 The described tender intelligent implementation device based on AI and RPA can, for each tender information collection sub-object, determine whether there is an information collection history record of the tender information collection channel corresponding to the tender information collection sub-object stored in the tender information database. For each tender information collection sub-object, when there is an information collection history record stored in the tender information database, generate a first information collection strategy corresponding to the tender information collection sub-object according to the information collection history record. For each tender information collection sub-object, when there is no information collection history record stored in the tender information database, obtain the information acquisition guidance steps input by the user in the tender information collection channel corresponding to the tender information collection sub-object, and generate a second information collection strategy corresponding to the tender information collection sub-object according to the information acquisition guidance steps, and store the second information collection strategy in the tender information database. Perform a tender information collection operation on the tender information collection channel according to the first information collection strategy or the second information collection strategy to obtain tender information, and can perform the tender information collection operation based on the stored records, and when there are no records, perform the tender information collection operation based on the user's guidance steps, improving the efficiency and accuracy of collecting tender information.

[0079] In yet another alternative embodiment, as Figure 5 shown, the specific manner in which the acquisition module 303 acquires the tender requirement information corresponding to the target tender object displayed in the tendering and bidding system includes: Based on the preset tender requirement acquisition steps, acquire the tender requirement information matching the target tender object displayed in the tendering and bidding system, and extract the keyword information in the tender requirement information. The tender requirement information includes image information and / or text information; Judge whether the tender requirement information meets the preset tender requirement integrity condition according to the keyword information. When the tender requirement information meets the tender requirement integrity condition, determine the tender requirement information corresponding to the target tender object according to the keyword information; When the tender requirement information does not meet the tender requirement integrity condition, obtain the supplementary tender requirement information input by the user, and determine the tender requirement information corresponding to the target tender object according to the keyword information and the supplementary tender requirement information.

[0080] It can be seen that the implementation Figure 5The described AI- and RPA-based bid intelligent implementation device can collect, based on a preset tendering requirement collection step, tendering requirement information displayed in the tendering and bidding system that matches the target tendering object, and extract keyword information from the tendering requirement information. It determines whether the tendering requirement information meets the preset tendering requirement integrity condition based on the keyword information. When the tendering requirement information meets the tendering requirement integrity condition, it determines the tendering requirement information corresponding to the target tendering object based on the keyword information. When the tendering requirement information does not meet the tendering requirement integrity condition, it obtains supplementary tendering requirement information input by the user, and determines the tendering requirement information corresponding to the target tendering object based on the keyword information and the supplementary tendering requirement information, which can improve the accuracy and reliability of determining the tendering requirement information, and further improve the collection efficiency, accuracy, and security of collecting tendering information.

[0081] In yet another alternative embodiment, as Figure 5 shown, the determination module 302 is further configured to determine, based on the tendering requirement information, tendering content requirement information, where the tendering content requirement information includes tendering content integrity requirement information and tendering content timeliness requirement information; The AI- and RPA-based bid intelligent implementation device may further include: An identification module 306, configured to perform information identification on the tendering information to obtain an information identification result, where the information identification result includes an image information identification result and / or a text information identification result; An analysis module 307, configured to analyze the tendering information content parameters of the tendering information based on the information identification result, and determine whether the tendering information content parameters meet the tendering content requirement information, where the tendering information content parameters include tendering information integrity parameters and tendering information timeliness parameters; when the tendering information content parameters meet the tendering content requirement information, trigger the processing module 304 to perform an operation of processing the tendering information based on the tendering requirement information; The determination module 302 is further configured to, when the tendering information content parameters do not meet the tendering content requirement information, determine the parameter difference between the tendering information content parameters and the tendering content requirement information, and perform a secondary collection operation on the tendering information based on the parameter difference and the tendering information collection channel.

[0082] It can be seen that the implementation Figure 5The described AI- and RPA-based intelligent bidding implementation device can determine the bidding content requirement information based on the tendering requirement information. The bidding content requirement information includes the bidding content integrity requirement information and the bidding content timeliness requirement information. It performs information recognition on the bidding information to obtain an information recognition result, analyzes the bidding information content parameters of the bidding information based on the information recognition result, and determines whether the bidding information content parameters meet the bidding content requirement information. When the bidding information content parameters meet the bidding content requirement information, it triggers the operation of processing the bidding information according to the tendering requirement information. When the bidding information content parameters do not meet the bidding content requirement information, it determines the parameter difference between the bidding information content parameters and the bidding content requirement information, and performs a secondary collection operation on the bidding information according to the parameter difference and the bidding information collection channel. It can identify the collected bidding information, determine whether the bidding information meets the requirements, improve the accuracy and security of collecting bidding information, and thus improve the bidding efficiency and accuracy, as well as the user experience.

[0083] In another alternative embodiment, as Figure 5 shown, the tendering requirement information includes tendering format requirement information; The specific manner in which the processing module 304 processes the bidding information according to the tendering requirement information to obtain the comprehensive bidding information includes: Performing a format conversion operation on the bidding information according to the tendering format requirement information to obtain the first bidding information that meets the tendering format requirement information; Adding a preset identification label to the first bidding information to obtain the comprehensive bidding information, where the identification label includes a watermark label.

[0084] It can be seen that implementing Figure 5 the described AI- and RPA-based intelligent bidding implementation device can perform a format conversion operation on the bidding information according to the tendering format requirement information to obtain the first bidding information that meets the tendering format requirement information, add a preset identification label to the first bidding information to obtain the comprehensive bidding information, where the identification label includes a watermark label, and can process the collected bidding information, improving the efficiency of subsequent bidding document collation and the user experience.

[0085] In another alternative embodiment, as Figure 5 shown, the specific manner in which the processing module 304 feeds back the comprehensive bidding information according to the preset bidding requirement information includes: Obtaining the preset bidding requirement information, where the bidding requirement information includes bidding time information and the bidding information feedback method; According to the bidding time information, determining the bidding information feedback time node, and feeding back the comprehensive bidding information before the bidding information feedback time node according to the bidding information feedback method.

[0086] It can be seen that implementingFigure 5 The described device for realizing intelligent bidding based on AI and RPA can obtain preset bidding requirement information, where the bidding requirement information includes bidding time information and the way of feedback of bidding information. According to the bidding time information, it determines the feedback time node of the bidding information, and feeds back the comprehensive bidding information before the feedback time node of the bidding information according to the way of feedback of the bidding information, which can improve the accuracy, efficiency and security of the feedback of the bidding information and enhance the user experience.

[0087] Embodiment 4 Please refer to Figure 6 , Figure 6 which is a schematic structural diagram of another device for realizing intelligent bidding based on AI and RPA disclosed in the embodiments of the present invention. As Figure 6 shown, the device for realizing intelligent bidding based on AI and RPA may include: a memory 401 storing executable program code; a processor 402 coupled to the memory 401; The processor 402 calls the executable program code stored in the memory 401 and executes the steps in the method for realizing intelligent bidding based on AI and RPA described in Embodiment 1 or Embodiment 2 of the present invention.

[0088] Embodiment 5 The embodiments of the present invention disclose a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the method for realizing intelligent bidding based on AI and RPA described in Embodiment 1 or Embodiment 2 of the present invention.

[0089] Embodiment 6 The embodiments of the present invention disclose a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps in the method for realizing intelligent bidding based on AI and RPA described in Embodiment 1 or Embodiment 2.

[0090] The device embodiments described above are only illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0091] Through the specific descriptions of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solutions, in essence, or the parts that contribute to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, and the storage medium includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disk memories, tape memories, or any other computer-readable medium that can be used to carry or store data.

[0092] Finally, it should be noted that: The intelligent bidding implementation method and device based on AI and RPA disclosed in the embodiments of the present invention only disclose the preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent implementation method for bidding based on AI and RPA, characterized in that, The method includes: After logging in to the bidding and tendering system based on the bid authorization account, collecting the tender demand information corresponding to the target tender object displayed in the bidding and tendering system; Determining the bid information collection object according to the tender demand information, and determining the bid information collection channel corresponding to the bid information collection object; Performing a bid information collection operation according to the bid information collection object and the bid information collection channel to obtain bid information; Processing the bid information according to the tender demand information to obtain comprehensive bid information, and feeding back the comprehensive bid information according to the preset tender requirement information.

2. The method for realizing intelligent bidding based on AI and RPA according to claim 1, wherein, The method further includes: Obtaining preset pre-collection object information, where the pre-collection object information includes a pre-collection object and a pre-collection interval duration; Performing a pre-collection operation of bid information on the pre-collection object according to the pre-collection interval duration to obtain pre-collected bid information, and storing the pre-collected bid information in a preset bid information database according to the pre-collection interval duration, where the pre-collected bid information includes social security certificate information and / or qualification certificate information; And, the performing a bid information collection operation according to the bid information collection object and the bid information collection channel to obtain bid information includes: Screening the stored bid information matching the bid information collection object in the bid information database; When the stored bid information does not exist in the bid information database or the stored bid information does not meet the bid information collection completion condition corresponding to the bid information collection object, performing a bid information collection operation according to the bid information collection channel to obtain bid information.

3. The method for realizing intelligent bidding based on AI and RPA according to claim 2, characterized in that The bid information collection object includes at least one bid information collection sub-object; When the stored bid information does not exist in the bid information database or the stored bid information does not meet the bid information collection completion condition corresponding to the bid information collection object, the performing a bid information collection operation according to the bid information collection channel to obtain bid information includes: For each bid information collection sub-object, determining whether there is an information collection history record of the bid information collection channel corresponding to the bid information collection sub-object stored in the bid information database; For each bid information collection sub-object, when the information collection history record is stored in the bid information database, generating a first information collection strategy corresponding to the bid information collection sub-object according to the information collection history record; For each bid information collection sub-object, when the information collection history record is not stored in the bid information database, obtaining the information acquisition guidance steps input by the user in the bid information collection channel corresponding to the bid information collection sub-object, and generating a second information collection strategy corresponding to the bid information collection sub-object according to the information acquisition guidance steps, and storing the second information collection strategy in the bid information database; Performing a bid information collection operation in the bid information collection channel according to the first information collection strategy or the second information collection strategy to obtain bid information.

4. The method for realizing intelligent bidding based on AI and RPA according to any one of claims 1-3, characterized in that, Collecting the tender demand information corresponding to the target tender object displayed in the tendering and bidding system, including: Based on a preset tender demand collection step, collecting the tender requirement information matching the target tender object displayed in the tendering and bidding system, and extracting the keyword information in the tender requirement information, where the tender requirement information includes image information and / or text information; Judging whether the tender requirement information meets the preset tender requirement integrity condition according to the keyword information, and when the tender requirement information meets the tender requirement integrity condition, determining the tender demand information corresponding to the target tender object according to the keyword information; When the tender requirement information does not meet the tender requirement integrity condition, obtaining the supplementary tender requirement information input by the user, and determining the tender demand information corresponding to the target tender object according to the keyword information and the supplementary tender requirement information.

5. The method for intelligent implementation of bidding based on AI and RPA according to any one of claims 1-3, characterized in that The method further includes: Determining the tender content requirement information according to the tender demand information, where the tender content requirement information includes the tender content integrity requirement information and the tender content timeliness requirement information; Performing information recognition on the tender information to obtain an information recognition result, where the information recognition result includes an image information recognition result and / or a text information recognition result; Analyzing the tender information content parameters of the tender information according to the information recognition result, and judging whether the tender information content parameters meet the tender content requirement information, where the tender information content parameters include the tender information integrity parameter and the tender information timeliness parameter; When the tender information content parameters meet the tender content requirement information, triggering the operation of processing the tender information according to the tender demand information, and when the tender information content parameters do not meet the tender content requirement information, determining the parameter difference between the tender information content parameters and the tender content requirement information, and performing a secondary collection operation on the tender information according to the parameter difference and the tender information collection channel.

6. The AI and RPA-based intelligent bidding implementation method according to any one of claims 1-3, characterized in that The tender demand information includes tender format demand information; Processing the tender information according to the tender demand information to obtain comprehensive tender information, including: Performing a format conversion operation on the tender information according to the tender format demand information to obtain a first tender information that meets the tender format demand information; Adding a preset identification label to the first tender information to obtain comprehensive tender information, where the identification label includes a watermark label.

7. The method for realizing intelligent bidding based on AI and RPA according to claim 6, characterized in that, Feedbacking the comprehensive tender information according to the preset tender requirement information, including: Obtaining the preset tender requirement information, where the tender requirement information includes tender time information and the tender information feedback method; Determining the tender information feedback time node according to the tender time information, and feedbacking the comprehensive tender information before the tender information feedback time node according to the tender information feedback method.

8. An intelligent implementation device for bidding based on AI and RPA, characterized in that, The device includes: A collection module, configured to collect the tender demand information corresponding to the target tender object displayed in the tendering and bidding system after logging in to the tendering and bidding system based on a tender authorization account; A determination module, configured to determine a bid information collection object according to the tender requirement information, and determine a bid information collection channel corresponding to the bid information collection object; A collection module, configured to perform a bid information collection operation according to the bid information collection object and the bid information collection channel to obtain bid information; A processing module, configured to process the bid information according to the tender requirement information to obtain comprehensive bid information, and feedback the comprehensive bid information according to preset bid requirement information.

9. An intelligent implementation device for bidding based on AI and RPA, characterized in that, The device includes: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the method for intelligent implementation of bidding based on AI and RPA according to any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which are used to execute the method for intelligent implementation of bidding based on AI and RPA according to any one of claims 1-7 when the computer instructions are called.

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