CN114926139A - Online business handling method and device combining RPA and AI and electronic equipment - Google Patents

Online business handling method and device combining RPA and AI and electronic equipment Download PDF

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CN114926139A
CN114926139A CN202210293918.4A CN202210293918A CN114926139A CN 114926139 A CN114926139 A CN 114926139A CN 202210293918 A CN202210293918 A CN 202210293918A CN 114926139 A CN114926139 A CN 114926139A
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李飞
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Shanghai Laiyibert Network Technology Co ltd
Laiye Technology Beijing Co Ltd
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    • G06Q50/10—Services
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
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    • G06V30/153—Segmentation of character regions using recognition of characters or words

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Abstract

The application relates to an online service handling method, device and electronic equipment combining RPA and AI, relating to the technical field of RPA and AI, applied to a chat robot, and comprising the following steps: acquiring target service items in the online service; acquiring service data of a plurality of service elements corresponding to a target service item; and issuing a calling instruction to the RPA robot, wherein the calling instruction is used for calling the RPA robot to handle the target service items according to the service data of the multiple service elements based on an OCR (optical character recognition) technology and/or an NLP (non-line-segment) technology. The chat robot acquires the service data of the multiple service elements corresponding to the target service item, and the RPA robot is called to replace manpower to handle the target service item according to the service data of the multiple service elements, so that the labor cost is reduced, the service handling efficiency is improved, and the accuracy of online service handling is improved by calling the RPA robot to handle the target service item based on an OCR technology and/or an NLP technology.

Description

Online business handling method and device combining RPA and AI and electronic equipment
Technical Field
The application relates to the technical field of robot process automation and artificial intelligence, in particular to an online service handling method and device combining RPA and AI and an electronic device.
Background
Robot Process Automation (RPA) is a Process task automatically executed according to rules by simulating human operations on a computer through specific robot software.
Artificial Intelligence (AI) is a technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and expanding human Intelligence.
Currently, many businesses can be transacted in an online manner. For example, when an enterprise needs to transact a business license, the enterprise can apply for and submit data required for transacting the business license through a related website on the line, and then a receiving department can verify the data and issue the business license when the verification is passed. However, in this on-line service handling manner, the handling department still adopts a manual review manner to perform data review, which wastes a lot of labor cost and time cost, and cannot ensure the accuracy of service handling. How to improve the handling efficiency and accuracy of online services and reduce labor cost has become an urgent problem to be solved.
Disclosure of Invention
The application provides an online service handling method and device combining RPA and AI and electronic equipment, and aims to solve the technical problems of low service handling efficiency, poor accuracy and high labor cost in online service handling modes in the related technology.
An embodiment of a first aspect of the present application provides an online service handling method combining an RPA and an AI, which is applied to a chat robot, and the method includes: acquiring target service items in the online service; acquiring service data of a plurality of service elements corresponding to a target service item; and issuing a calling instruction to the RPA robot, wherein the calling instruction is used for calling the RPA robot to handle the target service items according to the service data of a plurality of service elements based on an Optical Character Recognition (OCR) technology and/or a Natural Language Processing (NLP) technology.
The embodiment of the second aspect of the present application provides an online service handling device combining an RPA and an AI, which is applied to a chat robot, and the device includes: the first acquisition module is used for acquiring target service items in the online service; the second acquisition module is used for acquiring the service data of a plurality of service elements corresponding to the target service item; and the sending module is used for issuing a calling instruction to the RPA robot, and the calling instruction is used for calling the RPA robot to handle target service items according to the service data of a plurality of service elements based on an OCR (optical character recognition) technology and/or an NLP (non line segment) technology.
An embodiment of the third aspect of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the method according to the embodiment of the first aspect of the present application, or implements the method according to the embodiment of the second aspect of the present application.
An embodiment of a fourth aspect of the present application proposes a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a method according to an embodiment of the first aspect of the present application described above, or implements a method according to an embodiment of the second aspect of the present application described above.
An embodiment of a fifth aspect of the present application proposes a computer program product comprising a computer program which, when executed by a processor, implements a method according to an embodiment of the first aspect of the present application or implements a method according to an embodiment of the second aspect of the present application.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the chat robot acquires the service data of the multiple service elements corresponding to the target service item, and the RPA robot is called to replace manpower to handle the target service item according to the service data of the multiple service elements, so that the labor cost is reduced, the service handling efficiency is improved, and the accuracy of online service handling is improved by calling the RPA robot to handle the target service item based on an OCR technology and/or an NLP technology.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
In the drawings, like reference characters designate like or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.
FIG. 1 is a schematic flow chart diagram of a method for online transaction processing with RPA and AI according to a first embodiment of the present application;
FIG. 2 is a flow chart illustrating a method for online transaction processing in combination with RPA and AI according to a second embodiment of the application;
fig. 3 is an exemplary diagram illustrating a first prompt message of a plurality of service elements in a guidance flow in a dialog manner according to a second embodiment of the present application;
fig. 4 is an exemplary diagram illustrating first prompt information of a plurality of service elements in a guidance flow in a form manner according to a second embodiment of the present application;
FIG. 5 is a flowchart illustrating a method for online transaction processing in conjunction with RPA and AI according to a third embodiment of the application;
FIG. 6 is a schematic structural diagram of an online transaction device combining RPA and AI according to a fourth embodiment of the present application;
fig. 7 is a block diagram of an electronic device for implementing an online service handling method in conjunction with RPA and AI according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application/disclosure, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application/disclosure, and should not be construed as limiting the present application/disclosure.
These and other aspects of the embodiments of the present application/disclosure will be apparent with reference to the following description and attached drawings. In the description and drawings, particular embodiments of the present application/disclosed embodiments are disclosed in detail as being indicative of some of the ways in which the principles of the present application/disclosed embodiments may be employed, but it is understood that the scope of the embodiments is not limited thereby. Rather, the embodiments of the application/disclosure include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
It should be noted that, in the technical solution of the present disclosure, the acquisition, storage, application, and the like of the personal information of the related user all conform to the regulations of the related laws and regulations, and do not violate the customs of the public order.
In the description of the present application/disclosure, the term "plurality" means two or more.
The application provides a way of combining the RPA robot, the chat robot and the AI to replace manual work to automatically transact online business. After the chat robot acquires the target service items in the online service, the chat robot can acquire service data of a plurality of service elements corresponding to the target service elements and issue a calling instruction to the RPA robot, wherein the calling instruction is used for calling the RPA robot to handle the target service items according to the service data of the plurality of service elements based on an OCR (optical character recognition) technology and/or an NLP (non-line segment) technology. Therefore, the chat robot acquires the service data of the multiple service elements corresponding to the target service item, the RPA robot is called to replace manpower to handle the target service item according to the service data of the multiple service elements, the labor cost is reduced, the service handling efficiency is improved, and the accuracy of online service handling is improved by calling the RPA robot to handle the target service item based on the OCR technology and/or the NLP technology.
For the purpose of clearly explaining the embodiments of the present invention, terms related to the embodiments of the present invention will be explained first.
In the description of the present application, the "RPA robot" refers to a software robot that can automatically perform online business transaction in conjunction with AI technology and RPA technology. The RPA robot has two characteristics of 'connector' and 'non-invasion', and extracts, integrates and communicates data of different systems in a non-invasive mode on the premise of not changing an information system by simulating an operation method of a human.
In the description of the present application, a "chat robot" refers to a software robot with which it can interact in voice or text form. The chat robot can continuously improve the AI algorithm by combining natural language processing and machine learning to help simulate human interaction, recognize voice and text input, understand the meaning of the input and translate the input into various languages, and is suitable for various business processes. Chat robots have used techniques such as speech recognition, text-to-speech conversion, speech biometric recognition, NLP (Natural Language Processing), and ML (Machine Learning). The chat robot makes it easier for users to be supported by an automated system because the complexity of the interaction can be greatly simplified.
In the description of the present application, "online service" refers to a service transacted on the internet. "business item" refers to a specific business in online business, such as "training agency", "business license", etc. "Business element" refers to the key element that needs to be provided to successfully transact a business event. For example, a training institution needs to provide key information such as office location, office area, number of staff, and the like, and the key information is a business element corresponding to a business item of the training institution. The "service data" refers to data such as data and information provided by a user for each service element. For example, for a service element "office place" corresponding to a service item of a "training agency", an "X number of X district X route in X city" provided by a user is service data of the service element "office place".
In the description of the present application, a "guidance flow" refers to a flow that is set up in advance according to multiple service elements corresponding to a service item in order to guide a user to handle the service item, different service items may correspond to different guidance flows, and the guidance flow includes first prompt information of the multiple service elements corresponding to the service item, where the first prompt information is used to prompt the user to input or upload service data corresponding to the service element. For example, for a business item of a "training agency", a guidance flow may be set up in advance according to a plurality of business elements corresponding to the business item, where the guidance flow includes first prompt information "ask for your office location" of the business element of "office location", "first prompt information" your office area "of the business element of" office area ", and" first prompt information "your employee number" of the business element of "employee number".
In addition, corresponding priorities can be set for the first prompt messages of the business elements, so that the chat robot can display the first prompt messages according to the priorities corresponding to the first prompt messages. For example, the priority corresponding to the first prompt message of the "office place" business element is highest, the priority corresponding to the first prompt message of the "office area" business element is second highest, and the priority corresponding to the first prompt message of the "staff number" business element is lower than the two first prompt messages. The chat robot may first display the first prompt message "asking for your office place" of the "office place" business element, display the first prompt message "your office area" of the "office area" business element after acquiring the business data of the "office place" business element input by the user, and display the first prompt message "your number of employees" of the "number of employees" business element after acquiring the business data of the "office area" business element input by the user.
In the description of the present application, "auxiliary information" refers to information used to assist a user in inputting or uploading service data. For example, the auxiliary information may include a sample form, a sample picture, etc. for assisting the user in filling out the form.
In the description of the present application, "OCR (Optical Character Recognition)", specifically refers to a process in which an electronic device checks a Character printed on paper, determines its shape by detecting dark and light patterns, and then translates the shape into a computer text by a Character Recognition method; the method is characterized in that characters in a paper document are converted into an image file with a black-and-white dot matrix in an optical mode aiming at printed characters, and the characters in the image are converted into a text format through recognition software for further editing and processing by word processing software.
In the embodiment of the application, the RPA robot can recognize characters in documents, bills, tables and pictures by combining an OCR technology, wherein the documents can be various types of documents such as contracts, reports and documents, and can also be documents in various formats such as jpeg, jpg, png, pdf, bmp and tiff. Moreover, the RPA robot can process various complex scenes such as rotation, shading, inclination, dense characters, complex background, uneven illumination, shaking blur and the like, and the accuracy rate of print recognition can reach 99%. In addition, for the recognition of handwriting, a training algorithm model can be customized, so that the recognition accuracy rate of the model can meet the ideal requirement.
In addition, the RPA robot can automatically detect whether a seal is stamped on the data such as a contract, a bill, a card and a form data based on an OCR technology, and return information such as the position, the color, the content and the like of the seal. In addition, the RPA robot can accurately identify the seals with various colors such as red, blue and the like, the seals with various shapes such as a circle, an ellipse, a diamond and the like, and the incomplete seals. In addition, in the case where a plurality of stamps are included in one drawing, the RPA robot can also realize accurate recognition of the stamps.
In the description of the present application, "NLP (Natural Language Processing)" refers to the ability of a machine to understand and interpret human writing and speech. The goal of NLP is to make computers/machines as intelligent as humans in understanding language, the task of NLP is to understand human language and convert it to machine language.
In the embodiment of the application, by combining the NLP technology, the RPA robot can understand the content of the text and make a decision, and extract structured data from the unstructured text, for example, extract the name, address, amount, date, etc. of an enterprise in the text. In addition, the user can extract the template by self-definition, the customized information extraction capability is quickly realized, and the mixed mode of the model and the template is supported in a section of text.
In the description of the present application, "business acceptance department" refers to a department that accepts business items of an online business, different business items may correspond to the same business acceptance department or different business acceptance departments, and the same business item may correspond to one or more business acceptance departments. For example, the business acceptance department corresponding to the business items of the 'ID card handling' is the police bureau. The business acceptance departments corresponding to the business items of the restaurant comprise a market supervision bureau, a tax bureau, a public security bureau and the like.
In the description of the present application, the term "business system" refers to an online system for handling business items by a business handling department, such as a monitoring system of a market monitoring office, a tax system of a tax bureau, a public security system of a public security bureau, and the like.
In the description of the present application, the "special system" refers to a system having some special functions, such as an announcement system for credit announcement, an electronic license generation system for generating an electronic license, and the like.
In the description of the present application, the "online service acceptance system" refers to a service system that accepts online services.
An online transaction method, an apparatus, an electronic device, and a storage medium according to the embodiments of the present application/disclosure are described below with reference to the accompanying drawings.
First, an online service transaction method combining an RPA and an AI applied to a chat robot in the embodiment of the present application will be described with reference to the drawings.
Fig. 1 is a flowchart of an online transaction method combining RPA and AI according to a first embodiment of the present application. As shown in fig. 1, the method may include the steps of:
step 101, obtaining a target service item in an online service.
It should be noted that the online service handling method combining the RPA and the AI according to the embodiment of the present application may be executed by an online service handling apparatus combining the RPA and the AI, and the online service handling apparatus combining the RPA and the AI is hereinafter referred to as an online service handling apparatus for short. The online service handling device may be implemented by a chat robot, for example, the online service handling device may be a chat robot, or the online service handling device may be configured in the chat robot, which is not limited in this application.
The chat robot may be configured in an electronic device, and the electronic device may include, but is not limited to, a terminal device, a server, and the like, and the embodiment does not specifically limit the electronic device. In the embodiment of the present application, an online service handling apparatus is described as an example of a chat robot installed in a terminal device.
The chat robot in this embodiment may execute the method in real time in a specific time period or all day, which is not limited in this application. Wherein the specific time period can be set as desired.
Alternatively, the chat robot may be activated upon receiving an activation instruction. For example, the staff member of the online service acceptance system can trigger the starting instruction for the chat robot by means of conversation. The triggering of the start instruction for the chat robot may be implemented in various ways, for example, the start instruction for the chat robot may be triggered in a voice and/or text manner, and for example, the start instruction for the chat robot may also be triggered in a manner of triggering a designated control on a human-computer interaction interface, which is not specifically limited in this embodiment of the present application.
In one possible implementation form, the chat robot may obtain the service items in the online service by interacting with the user. For example, the chat robot may provide a human-computer interaction interface, and the user may input "i want to make a training institution" on the human-computer interaction interface, and accordingly, the chat robot may obtain the target service item as "make a training institution".
In another possible implementation form, the online service acceptance system may provide an input box of the target service item, and the user may input the target service item in the input box, so that the chat robot may obtain the target service item from the online service acceptance system.
It should be noted that, the above manner of acquiring the target service item is only an exemplary illustration, and is not to be construed as a limitation to the technical solution, and in practical applications, a person skilled in the art may set the manner of acquiring the target service item by the chat robot through any other manner, which is not limited in this application.
Step 102, acquiring service data of a plurality of service elements corresponding to the target service item.
In the embodiment of the application, in order to guide a user to handle each business item, for each business item, a guide flow may be set up in advance according to a plurality of business elements corresponding to the business item, and the guide flow includes first prompt information of the plurality of business elements corresponding to the business item, where the first prompt information is used to prompt the user to input or upload business data corresponding to the business element, and further, after a chat robot obtains a target business item in an online business, the first prompt information of the plurality of business elements in the guide flow corresponding to the target business item may be displayed in a preset manner. After the chat robot displays the first prompt information of the multiple service elements in the guide flow corresponding to the target service item in a preset mode, the user can reply to each service element according to the first prompt information of each service element and input or upload service data of the corresponding service element, and then the chat robot can acquire the service data of the multiple service elements corresponding to the target service item according to the detected reply information aiming at each service element.
The preset mode is a preset display mode of the first prompt message. Such as may include a dialog mode, a form mode, etc.
103, issuing a calling instruction to the RPA robot, wherein the calling instruction is used for calling the RPA robot to handle the target service items according to the service data of a plurality of service elements based on an Optical Character Recognition (OCR) technology and/or a Natural Language Processing (NLP) technology.
According to the online service handling method combining the RPA and the AI, the chat robot acquires the target service item in the online service, acquires the service data of a plurality of service elements corresponding to the target service item, and issues the calling instruction to the RPA robot, wherein the calling instruction is used for calling the RPA robot to handle the target service item based on an Optical Character Recognition (OCR) technology and/or a Natural Language Processing (NLP) technology, and the method is used for handling the target service item according to the service data of the plurality of service elements. Therefore, the chat robot acquires the service data of the multiple service elements corresponding to the target service item, the RPA robot is called to replace manpower to handle the target service item according to the service data of the multiple service elements, the labor cost is reduced, the service handling efficiency is improved, and the accuracy of online service handling is improved by calling the RPA robot to handle the target service item based on the OCR technology and/or the NLP technology.
The online service processing method combining RPA and AI provided in the embodiment of the present application is further described below with reference to fig. 2. Fig. 2 is a flowchart of an online transaction method combining RPA and AI according to a second embodiment of the present application, as shown in fig. 2, the method including:
step 201, obtaining a target service item in the online service.
Step 202, according to the guiding flow corresponding to the target business item, displaying first prompt information of multiple business elements in the guiding flow in a preset mode, wherein the first prompt information is used for prompting a user to input or upload business data corresponding to the business elements.
In the embodiment of the application, the chat robot can display the first prompt information of the plurality of business elements in the guide flow in a dialogue mode or a form mode.
For example, for a business item of a "training agency", a guidance flow of the business item may be set up in advance according to a plurality of business elements "office location", "office area", "owner, and" employee number "corresponding to the business item, where the guidance flow includes first prompt information of each business element, and two display modes, i.e., a dialog mode and a form mode, may be generated. When the target business item acquired by the chat robot is the "training agency" item, the first prompt information of the plurality of business elements in the guide flow corresponding to the target business item can be displayed in a dialogue manner as shown in fig. 3. In fig. 3, the left side is the chat robot and the first prompt information displayed by the chat robot, and the right side is the user account and the service data input by the user for each service element. It should be noted that, in order to improve the user experience, in the guidance flow corresponding to the business item, response information such as "good" and "receive, but do you as soon as possible" shown in fig. 3 may also be included. Alternatively, in the case where the target business item acquired by the chat robot is a "training agency" item, the first prompt information of the plurality of business elements in the guide flow corresponding to the target business item may be displayed in the form shown in fig. 4. The user can fill the business data of each business element in the form.
It should be noted that the online service acceptance system may provide a selection button in a preset manner, so that the user can flexibly select, as needed, a manner for displaying the first prompt information of the plurality of service elements in the guidance flow corresponding to the target service item.
Step 203, in response to detecting the reply information for each service element, acquiring the service data of the corresponding service element according to the reply information.
In the embodiment of the application, after the chat robot displays the first prompt information of the plurality of service elements in the guide flow corresponding to the target service item, the user can display the first prompt information of each service element, replying to each service element, inputting or uploading service data of the corresponding service element, and then after the chat robot displays the first prompt information of the plurality of service elements in the guide flow corresponding to the target service item in a preset mode, the user can display the first prompt information of each service element, replying to each service element, inputting or uploading service data of the corresponding service element, and then the chat robot can respond to the detection of reply information aiming at each service element, and acquiring the service data of the plurality of service elements corresponding to the target service item according to the reply information aiming at each service element.
The chat robot prompts a user to input or upload service data corresponding to the service elements according to the first prompt information of the plurality of service elements in the guide flow corresponding to the target service item, so that the user can quickly and accurately understand the data required to be provided for transacting the target service item according to the first prompt information of the service elements and input or upload the service data, and the efficiency and the accuracy of service transaction are improved. In addition, the first prompt information of a plurality of service elements in the guiding flow is displayed in a dialogue mode, and the service data of each service element input or uploaded by the user is obtained, which is equivalent to combining the advantages of on-line transaction of the off-line transaction of the interactive guidance, so that the user can provide the service data required by the transaction of the target service item to the on-line service transaction system through the guiding interaction.
It should be noted that, in a possible implementation form, for the first prompt information of any one of the plurality of service elements displayed by the chat robot, there may be a case where the user does not know how to input or upload the service data of the service element, or does not know where to upload the service data of the service element, and at this time, the user may input "i do not know how to fill in" or "i do not know where to upload" and the like in a voice or text form in the human-computer interaction interface provided by the chat robot for consultation. In this embodiment, in response to detecting the reply information for each service element, the chat robot may further understand the user intention according to the reply information, and when it is determined that the user intention is not a consultation, obtain the service data of the corresponding service element according to the reply information.
The chat robot can understand the user intention from the reply information of the user by means of voice recognition, NLP technology, and the like.
In addition, in the embodiment of the present application, for each service element corresponding to each service item, candidate auxiliary information for assisting a user to input or upload service data, such as a notice, a reference sample (sample table, sample picture, etc.), a guidance instruction, and the like, may be configured in advance. After the chat robot displays the first prompt message of any one of the plurality of service elements, the user replies in a voice or text form to the human-computer interaction interface provided by the chat robot, such as "i do not know how to fill in" or "i do not know where to upload", etc., an auxiliary request for the service element may be triggered. In the embodiment of the present application, the service element is referred to as a first target element, and the first target element may be any one of a plurality of service elements. The chat robot may understand the user intention according to the reply information of the user, and when it is determined that the user intention is a consultation, it may be determined that the user has triggered an auxiliary request for the first target element, and further, in response to obtaining the auxiliary request for the first target element, may obtain target auxiliary information corresponding to the auxiliary request from candidate auxiliary information corresponding to the first target element, and display the target auxiliary information. And displaying the target auxiliary information in the same way as displaying the first prompt information of each service element.
For example, it is assumed that the multiple service elements corresponding to the target service item include a "guidance" service element, and the preset candidate auxiliary information corresponding to the service element includes a sample table and a sample picture of the guidance, and a text description of how to upload the guidance. After the chat robot displays the first prompt message ' please upload the instruction book ' of the service element ' instruction book ' in a conversation mode through the human-computer interaction interface, when the user does not know how to fill in the instruction book, the user can input ' i do not know how to fill in ' on the human-computer interaction interface so as to trigger an auxiliary request aiming at the service element ' of the ' instruction book '. Correspondingly, the chat robot can understand the user intention according to the information input by the user by means of voice recognition, NLP technology and the like, when the user intention is determined as 'how to fill in the instruction for consultation', the fact that the user triggers an auxiliary request for the service element of the 'instruction book' can be determined, then in response to the fact that the auxiliary request for the service element of the 'instruction book' is obtained, the sample table and the sample picture of the instruction book can be obtained from candidate auxiliary information corresponding to the service element of the 'instruction book', and the sample table and the sample picture of the instruction book can be displayed. And then the user can fill in the instruction book according to the sample table and the sample picture of the instruction book, and send the filled-in instruction book to the chat robot through the man-machine interaction interface.
The method and the system have the advantages that candidate auxiliary information of each service element corresponding to each service item is configured in advance, the candidate auxiliary information is combined with the guide flow of each service item, interaction is carried out with a user in a preset mode, the combination of a service item transaction process and service item transaction guidance is achieved, the user can consult before or during the service item transaction process at any time, and instant guidance of the chat robot can be obtained.
Further, in response to the acquisition of the service data of the second target element in the multiple service elements, the chat robot may audit the service data of the second target element based on an OCR technology and/or an NLP technology according to an audit rule corresponding to the target service item to obtain an audit result of the service data of the second target element, and when the audit result of the service data of the second target service element is failed, display second prompt information to prompt the user to re-input or upload the service data of the second target service element. And when the auditing result of the service data of the second target service element is passed, the chat robot can continue to execute the subsequent steps.
The second target element may be any one of the plurality of business elements.
And the auditing rule is a rule for checking whether the preset business data meet requirements or not, and different auditing rules are possible for the business data corresponding to different business items.
For example, it is assumed that a plurality of service elements corresponding to a target service item include an "identity card picture" and a "declaration" service element, and an audit rule corresponding to the target service item includes: the identity card is not overdue and is the identity card of the person and the application book, the signature of an expert and the seal of an enterprise are included, and the seal information is consistent with the main body of the enterprise.
After the chat robot acquires the service data of the 'identity card' service element corresponding to the target service item, namely the identity card picture, the chat robot can identify the identity card picture based on an OCR technology to acquire the valid period, the name and the identity card number in the identity card picture, judge whether the current time is within the valid period, judge whether the identity card picture is the identity card picture of the user according to the name and the identity card number, if so, determine that the audit is passed, and otherwise, the audit is not passed.
After the chat robot acquires the report scanning piece which is the service data of the 'report' service element corresponding to the target service item, the chat robot can identify the content in the report scanning piece based on an OCR (optical character recognition) technology, analyze the identification result based on an NLP (non line segment) technology, further judge whether the report contains the signature of an expert and the seal of an enterprise according to the analysis result, judge whether the seal information is consistent with the main body of the enterprise, if so, determine that the verification is passed, and otherwise, determine that the verification is not passed.
And 204, issuing a calling instruction to the RPA robot, wherein the calling instruction is used for calling the RPA robot to handle target service items according to service data of a plurality of service elements based on an Optical Character Recognition (OCR) technology and/or a Natural Language Processing (NLP) technology.
To sum up, according to the online service transaction method combining the RPA and the AI provided by the embodiment of the present application, the chat robot prompts the user to input or upload the service data corresponding to the service element according to the first prompt information of the plurality of service elements in the guidance flow corresponding to the target service item, so that the user can quickly and accurately understand the data required to be provided for transacting the target service item according to the first prompt information of each service element, and input or upload the service data, thereby improving the efficiency and accuracy of service transaction. In addition, in the process of interaction between the chat robot and the user, the service data of each acquired service element is checked in real time, and when the checking result is failed, the user is prompted to input or upload the service data again in time, so that the condition that the online service transaction period is prolonged due to the fact that the service data uploaded by the user is wrong is avoided, and the service transaction efficiency is further improved.
With reference to fig. 5, an online service transaction method combining RPA and AI applied to an RPA robot in the embodiment of the present application will be described.
Fig. 5 is a flowchart of an online service handling method combining RPA and AI according to a third embodiment of the present application, and as shown in fig. 5, the method may further include:
step 501, obtaining a target service item in an online service.
Step 502, service data of multiple service elements corresponding to the target service item is obtained.
The specific implementation process and principle of steps 501-502 may refer to the description of the foregoing embodiments, and are not described herein again.
Step 503, issuing a call instruction to the RPA robot, where the call instruction is used to call the RPA robot to audit a service data set generated by integrating service data of multiple service elements according to an audit rule corresponding to a target service item, and transacting the target service item according to an audit result corresponding to the obtained service data set.
The auditing rule is a rule for checking whether the preset business data meet the requirement, and different auditing rules may be applied to business data corresponding to different business items.
In the embodiment of the application, after receiving the call instruction issued by the chat robot, the RPA robot may perform overall auditing on the service data set, such as auditing whether conflicts exist among service data of each service element, whether information is consistent, and the like, according to an auditing rule corresponding to a target service item and based on an OCR technology and/or an NLP technology, and obtain an auditing result corresponding to the service data set.
For example, it is assumed that the multiple service elements corresponding to the target service item include an "identity card picture" and a "driver license" service element, and the auditing rule corresponding to the target service item includes: the identity card and the driving license belong to the same person and are not overdue. After acquiring the service data of the service element of the 'identity card', namely the identity card picture, corresponding to the target service item and the service data of the service element of the 'driver license', namely the driver license picture, the RPA robot can identify the identity card picture and the driver license picture based on the OCR technology to acquire the valid period and the name in the identity card picture and the valid period and the name in the driver license, further judge whether the current time is within the valid period of the identity card and the valid period of the driver license, judge whether the name in the identity card picture is consistent with the name in the driver license picture, if so, determine that the verification is passed, otherwise, the verification is not passed.
In the embodiment of the application, for some business items, it may only be required that the online business acceptance system approves the business data of each business element corresponding to the business item, and for the business items, after the RPA robot audits the business data set, the target business item may be handled according to the obtained audit result.
In the embodiment of the present application, for some business items, after the online business acceptance system audits the business data of each business element corresponding to the business item, it is further necessary to audit by one or more other business acceptance departments. When the target business item is one of the business items, the RPA robot may enter the business data set into the business system of each business acceptance department when the audit result is passed, so that each business acceptance department further handles the target business item according to the business data set in the corresponding business system.
Namely, the target business item corresponds to at least one business acceptance department; the call instruction is further to: and when the verification result corresponding to the service data set is passed, the RPA robot is called, and the service data set is recorded into the service system of each service acceptance department, so that each service acceptance department can further handle the target service item according to the service data set in the corresponding service system.
Therefore, the service data set is automatically recorded into the service system of each service acceptance department through the RPA robot, and the labor cost is reduced.
In the embodiment of the application, under the condition that the confidence of the audit result corresponding to the service data set determined by the RPA robot is low, the audit result can be confirmed by combining with manpower, so that the accuracy of the audit result is improved, and the accuracy of service handling is further improved. That is, the call instruction is also used to: and calling the RPA robot to display the auditing result corresponding to the service data set through a human-computer interaction interface, and determining a confirmation instruction for obtaining the auditing result corresponding to the service data set.
In the embodiment of the application, the RPA robot can provide a human-computer interaction interface, and display the audit result through the human-computer interaction interface, when the audit result is determined to be correct manually, the confirmation instruction of the audit result can be triggered by clicking a confirmation button, and the like, so that after the RPA robot determines the confirmation instruction of the audit result, the RPA robot can continue to perform subsequent processing on the target service item according to the audit result. And when the verification result is confirmed to be incorrect manually, the verification result can be modified, and a correct verification result is returned to the RPA robot, so that the RPA robot can continue to perform subsequent processing on the target service item according to the correct verification result.
Step 504, acquiring the transaction state of the target business item; the transaction state is obtained by the RPA robot from the service system of each service acceptance department and is sent to the chat robot.
And 505, displaying the transaction state.
In the embodiment of the application, after the RPA robot records the service data set into the service system of each service acceptance department, each service acceptance department can audit the service data set according to the respective service requirement, transact the service items according to the audit result, and record the transacted state into the corresponding service system. The RPA robot can track the transaction states in the service systems of all the service acceptance departments, obtain the transaction states of the target service items from all the service systems, send the transaction states to the chat robot, and then the chat robot can display the transaction states. Therefore, the transaction state of the target business items is automatically tracked through the RPA robot, and the transaction progress of the business items is timely provided for the user through the chat robot.
In addition, when a certain service acceptance department does not handle the service items according to the service data set for a long time, the RPA robot can also automatically send reminding information to the service acceptance department so as to urge handling of the service items, thereby improving the handling efficiency of the service. Namely, the calling instruction is also used for calling the RPA robot to send reminding information to a service acceptance department.
In the embodiment of the application, for some business items, it may be necessary to enter a transaction result into a specific system after the transaction is completed, for example, for some business items of electronic certificates, after auditing business data required for transacting the electronic certificates is completed, the business data and the result that the auditing is passed need to be entered into an electronic certificate generation system, so as to generate the electronic certificates through the electronic certificate generation system. Correspondingly, the call instruction is further used for: and when the transaction state of the RPA robot is finished, acquiring the transaction result of the target service item, and inputting the transaction result into a specific system. Therefore, the automatic input of the processing result into a specific system through the RPA robot is realized.
In order to implement the above embodiments, the present application further provides an online service handling apparatus combining an RPA and an AI. Fig. 6 is a schematic structural diagram of an online service handling apparatus combining RPA and AI according to a fourth embodiment of the present application.
As shown in fig. 6, the online transaction device 600 combining RPA and AI is applied to a chat robot, and includes: a first acquisition module 601, a first review module 602, and a transaction module 603.
The first obtaining module 601 is configured to obtain a target service item in an online service;
a second obtaining module 602, configured to obtain service data of multiple service elements corresponding to the target service item;
the sending module 603 is configured to issue a call instruction to the RPA robot, where the call instruction is used to call the RPA robot to handle the target service item according to the service data of the multiple service elements based on the OCR technology and/or the NLP technology.
It should be noted that the online transaction device 600 combining RPA and AI according to the embodiment of the present application may perform the online transaction method combining RPA and AI provided in the foregoing embodiment. For example, the online service handling apparatus 600 combining the RPA and the AI may be a chat robot, or the online service handling apparatus may be configured in the chat robot, which is not limited in this application.
The chat robot may be configured in an electronic device, and the electronic device may include, but is not limited to, a terminal device, a server, and the like, and this embodiment does not specifically limit the electronic device. In the embodiment of the present application, an online service handling apparatus is described as an example of a chat robot installed in a terminal device.
In an embodiment of the present application, the second obtaining module 602 is configured to:
displaying first prompt information of a plurality of service elements in the guide flow in a preset mode according to the guide flow corresponding to the target service item, wherein the first prompt information is used for prompting a user to input or upload service data of the corresponding service element;
and responding to the detection of the reply information aiming at each service element, and acquiring the service data of the corresponding service element according to the reply information.
In an embodiment of the present application, the second obtaining module 602 is configured to:
and displaying first prompt information of a plurality of service elements in the guide flow in a dialogue mode or a form mode according to the guide flow corresponding to the target service item.
In one embodiment of the present application, the apparatus 600 further comprises:
the third acquisition module is used for responding to the acquisition of the auxiliary request aiming at the first target element in the multiple service elements and acquiring target auxiliary information corresponding to the auxiliary request from candidate auxiliary information corresponding to the first target element;
the first display module is used for displaying the target auxiliary information.
In one embodiment of the present application, the apparatus 600 further comprises:
the auditing module is used for responding to the acquired service data of a second target element in the plurality of service elements, auditing the service data of the second target element according to the auditing rule corresponding to the target service item based on an OCR (optical character recognition) technology and/or an NLP (non-line-of-sight) technology so as to obtain the auditing result of the service data of the second target element;
and the second display module is used for displaying second prompt information when the auditing result of the service data of the second target element is failed so as to prompt the user to re-input or upload the service data of the second target service element.
In an embodiment of the present application, the call instruction is specifically configured to:
and calling the RPA robot to audit the service data set generated by integrating the service data of the multiple service elements according to the audit rule corresponding to the target service item, and handling the target service item according to the audit result corresponding to the obtained service data set.
In one embodiment of the present application, the target business item corresponds to at least one business acceptance department; the call instruction is further to:
and when the verification result corresponding to the service data set passes, the RPA robot is called, and the service data set is recorded into the service system of each service acceptance department, so that each service acceptance department can further handle the target service items according to the service data set in the corresponding service system.
In one embodiment of the present application, the apparatus 600 further comprises:
the fourth acquisition module is used for acquiring the handling state of the target business item; the processing state is that the RPA robot acquires from the service system of each service receiving department and sends the acquired information to the chat robot;
and the third display module is used for displaying the handling state.
In one embodiment of the present application, the call instruction is further configured to:
and when the transaction state of the RPA robot is finished, acquiring the transaction result of the target service item, and inputting the transaction result into a specific system.
In one embodiment of the present application, the call instruction is further configured to:
and calling the RPA robot to display the auditing result corresponding to the service data set through the human-computer interaction interface, and determining a confirmation instruction for obtaining the auditing result corresponding to the service data set.
It should be noted that the foregoing explanation of the embodiment of the online transaction method combining RPA and AI is also applicable to the online transaction device combining RPA and AI of this embodiment, and details that are not published in the embodiment of the online transaction device combining RPA and AI of this application are not described here again.
To sum up, the online service transaction apparatus combining the RPA and the AI according to the embodiment of the present application obtains a target service item in an online service, obtains service data of a plurality of service elements corresponding to the target service item, and issues a call instruction to the RPA robot, where the call instruction is used to call the RPA robot to perform transaction on the target service item based on an optical character recognition OCR technology and/or a natural language processing NLP technology, and according to the service data of the plurality of service elements. Therefore, the chat robot acquires the service data of the multiple service elements corresponding to the target service item, the RPA robot is called to replace manpower to handle the target service item according to the service data of the multiple service elements, the labor cost is reduced, the service handling efficiency is improved, and the accuracy of online service handling is improved by calling the RPA robot to handle the target service item based on the OCR technology and/or the NLP technology.
In order to implement the foregoing embodiments, an electronic device is further provided in an embodiment of the present application, and includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the online transaction processing method combining the RPA and the AI according to any of the foregoing method embodiments.
In order to implement the foregoing embodiments, the present application further proposes a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the online transaction processing method combining RPA and AI according to any of the foregoing method embodiments.
In order to implement the foregoing embodiments, the present application further provides a computer program product, wherein when being executed by an instruction processor of the computer program product, the method for online transaction processing in combination with RPA and AI according to any of the foregoing method embodiments is implemented.
FIG. 7 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present application. The electronic device 12 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, electronic device 12 is in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. These architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.
Electronic device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 30 and/or cache Memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 7 and commonly referred to as a "hard drive"). Although not shown in FIG. 7, a magnetic disk drive for reading from and writing to a removable nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the embodiments described herein.
Electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with electronic device 12, and/or with any devices (e.g., network card, modem, etc.) that enable electronic device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via the Network adapter 20. As shown in FIG. 7, the network adapter 20 communicates with the other modules of the electronic device 12 via the bus 18. It should be appreciated that although not shown in FIG. 7, other hardware and/or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the memory 28, for example, implementing the methods mentioned in the foregoing embodiments.
In the description of the present specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried out in the method of implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are exemplary and should not be construed as limiting the present application and that changes, modifications, substitutions and alterations in the above embodiments may be made by those of ordinary skill in the art within the scope of the present application.

Claims (15)

1. An online business transaction method combining RPA and AI, which is applied to a chat robot, and comprises the following steps:
acquiring target service items in the online service;
acquiring service data of a plurality of service elements corresponding to the target service item;
and issuing a calling instruction to the RPA robot, wherein the calling instruction is used for calling the RPA robot to handle the target service items according to the service data of a plurality of service elements based on an Optical Character Recognition (OCR) technology and/or a Natural Language Processing (NLP) technology.
2. The method according to claim 1, wherein said obtaining the service data of the plurality of service elements corresponding to the target service transaction comprises:
displaying first prompt information of a plurality of service elements in the guide flow in a preset mode according to the guide flow corresponding to the target service item, wherein the first prompt information is used for prompting a user to input or upload service data of the corresponding service element;
and responding to the detection of reply information aiming at each service element, and acquiring service data of the corresponding service element according to the reply information.
3. The method according to claim 2, wherein the displaying, according to the guidance flow corresponding to the target business item, the first prompt information of a plurality of business elements in the guidance flow in a preset manner includes:
and displaying the first prompt information of the plurality of service elements in the guide flow in a dialogue mode or a form mode according to the guide flow corresponding to the target service item.
4. The method of claim 2, further comprising:
in response to an auxiliary request for a first target element in the plurality of service elements, acquiring target auxiliary information corresponding to the auxiliary request from candidate auxiliary information corresponding to the first target element;
and displaying the target auxiliary information.
5. The method of claim 2, further comprising:
in response to the acquisition of the service data of a second target element in the plurality of service elements, auditing the service data of the second target element according to an auditing rule corresponding to the target service item based on an OCR (optical character recognition) technology and/or an NLP (non-line-of-sight) technology to obtain an auditing result of the service data of the second target element;
and when the auditing result of the service data of the second target element is failed, displaying second prompt information to prompt the user to re-input or upload the service data of the second target service element.
6. The method according to any one of claims 1 to 5, wherein the call instruction is specifically configured to:
and calling the RPA robot to audit a service data set generated by integrating the service data of the multiple service elements according to an audit rule corresponding to the target service item, and handling the target service item according to an audit result corresponding to the obtained service data set.
7. The method of claim 6, wherein the target business transaction corresponds to at least one business acceptance department; the call instruction is further to:
and when the verification result corresponding to the service data set is passed, the RPA robot is called, and the service data set is recorded into the service system of each service acceptance department, so that each service acceptance department further handles the target service item according to the service data set in the corresponding service system.
8. The method of claim 7, further comprising:
acquiring the handling state of the target business item; the processing state is that the RPA robot acquires from the service system of each service acceptance department and sends the acquired information to the chat robot;
and displaying the transaction state.
9. The method of claim 8, wherein the call instruction is further configured to:
and calling the RPA robot to obtain a transaction result of the target business item when the transaction state is finished, and inputting the transaction result into a specific system.
10. The method of claim 6, wherein the call instruction is further configured to:
and calling the RPA robot to display the auditing result corresponding to the service data set through a human-computer interaction interface, and determining a confirmation instruction for obtaining the auditing result corresponding to the service data set.
11. An online transaction device combining RPA and AI, which is applied to a chat robot, the device comprising:
the first acquisition module is used for acquiring target service items in the online service;
a second obtaining module, configured to obtain service data of multiple service elements corresponding to the target service item;
and the sending module is used for issuing a calling instruction to the RPA robot, and the calling instruction is used for calling the RPA robot to handle the target service items according to the service data of a plurality of service elements based on an OCR (optical character recognition) technology and/or an NLP (non line segment) technology.
12. The apparatus of claim 11, wherein the second obtaining module is configured to:
displaying first prompt information of a plurality of service elements in the guide flow in a preset mode according to the guide flow corresponding to the target service item, wherein the first prompt information is used for prompting a user to input or upload service data of the corresponding service element;
and responding to the detection of reply information aiming at each service element, and acquiring service data of the corresponding service element according to the reply information.
13. The apparatus of claim 12, wherein the second obtaining module is configured to:
and displaying the first prompt information of the plurality of service elements in the guide flow in a dialogue mode or a form mode according to the guide flow corresponding to the target service item.
14. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1-10 when executing the computer program.
15. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-10.
CN202210293918.4A 2022-03-23 2022-03-23 Online business handling method and device combining RPA and AI and electronic equipment Pending CN114926139A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109544096A (en) * 2018-10-18 2019-03-29 国网福建省电力有限公司 Low pressure industry based on artificial intelligence expands business handling method and device on line
CN113034095A (en) * 2021-01-29 2021-06-25 北京来也网络科技有限公司 Man-machine interaction method and device combining RPA and AI, storage medium and electronic equipment
CN114185935A (en) * 2021-11-02 2022-03-15 北京来也网络科技有限公司 Social security data processing method and device combining RPA and AI and storage medium
CN114219380A (en) * 2022-02-23 2022-03-22 深圳市华正联实业有限公司 Information verification method, self-service handling system and readable storage medium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109544096A (en) * 2018-10-18 2019-03-29 国网福建省电力有限公司 Low pressure industry based on artificial intelligence expands business handling method and device on line
CN113034095A (en) * 2021-01-29 2021-06-25 北京来也网络科技有限公司 Man-machine interaction method and device combining RPA and AI, storage medium and electronic equipment
CN114185935A (en) * 2021-11-02 2022-03-15 北京来也网络科技有限公司 Social security data processing method and device combining RPA and AI and storage medium
CN114219380A (en) * 2022-02-23 2022-03-22 深圳市华正联实业有限公司 Information verification method, self-service handling system and readable storage medium

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