CN109558459B - Service management method, device, system and storage medium based on artificial intelligence - Google Patents
Service management method, device, system and storage medium based on artificial intelligence Download PDFInfo
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Abstract
The invention belongs to the technical field of artificial intelligence, and relates to a service management method, a device, a system and a storage medium based on artificial intelligence. The service management method based on artificial intelligence comprises the following steps: creating a service product database, a service flow database and a service provider database; acquiring service demand information; matching at least one service product in the service product database according to the service demand information; generating a service order for each matched service product; matching service processes in the service process database according to the service orders; matching at least one service provider in the service provider database according to the service order and in combination with the matched service flow; sending the service order to the service terminals of all matched service providers; and monitoring the implementation time and delivery content of each matched service product. The system can enable a plurality of service providers to jointly complete service requirements according to respective professional specialties.
Description
Technical Field
The invention belongs to the field of Artificial Intelligence (AI) technology, and relates to a service management method, a device, a system and a storage medium based on Artificial Intelligence.
Background
In the operation of medium and small enterprises, due to the limitation of factors such as cost, scale and the like, professional organizations and personnel cannot be systematically configured, the enterprise service outsourcing is an important choice in the operation of most of the medium and small enterprises, but the professional barriers, the information asymmetry and the intelligent service attributes are always obstacles in the service outsourcing of a plurality of medium and small enterprises, but most of the problems of the enterprise operation are the problems that the whole body is dragged and the single professional can be solved.
Most of the current service parties only start from the self specialization, the requirement of an enterprise is solved by one dimension, and the problem of the enterprise is difficult to solve by an enterprise operation dimension system, so that the solved requirement of the enterprise is not the symptom of the problem of the enterprise from the enterprise operation angle, and the problem is trapped in the state of headache and headache of the head and foot, which cannot be solved fundamentally, and even if the requirement specialization is right, one-sided service and over-service are all better. Therefore, the problem of the enterprise cannot be confirmed by the enterprise without professional judgment ability.
The responsibility main body of the work coordinated by the current multi-professional service parties falls on an enterprise without management capacity, and the main body without professional identification capacity, professional management capacity, professional evaluation capacity and professional guidance capacity is inevitably insufficient to manage and coordinate the multi-professional service parties, and the inevitable result that the benefits of the enterprise cannot be guaranteed is also inevitably caused, so that the situation that the enterprise is served by one side or excessive service, the resources are repeatedly input, the efficiency is lost, the core value of the enterprise cannot be surrounded, and the like becomes the current situation of industrial service.
The inventor finds that the management method for multi-professional service of enterprise groups in the prior art is not networked, systematized, intelligent and efficient in the process of researching the invention.
Disclosure of Invention
The embodiment of the invention discloses a service management method, a device, a system and a storage medium based on artificial intelligence, which enables the management method facing multi-professional services of enterprise groups to have networking, systematization, intellectualization and high efficiency.
One or more embodiments of the invention disclose a service management method based on artificial intelligence, which is used for managing service products facing enterprise groups. The service management method based on artificial intelligence comprises the following steps: creating a service product database, a service flow database and a service provider database; acquiring service demand information; matching at least one service product in the service product database according to the service demand information; generating a service order for each matched service product; matching service processes in the service process database according to the service orders; matching at least one service provider in the service provider database according to the service order and in combination with the matched service flow; sending the service order to the service terminals of all matched service providers; and monitoring the implementation time and delivery content of each matched service product.
In one or more embodiments of the invention, the service product database includes a requirement label for each preset service product, and the requirement label defines each preset service product from a professional dimension, an industry dimension, a price dimension, and an area dimension; capturing a requirement keyword and a user address or IP information in service requirement information after the service requirement information is acquired; matching the major, industry and price from the major dimension, the industry dimension and the price dimension according to the requirement keywords; matching a service area from the area dimension in the service product database according to the user address or the IP information; and matching preset service products in the service product database according to the matched professions, industries, prices and service areas.
In one or more embodiments of the invention, the step of matching service flows in the service flow database comprises: assigning values to each sub-process according to the execution sequence of each sub-process, wherein the assignment of each sub-process executed from first to last is from small to large or from large to small; the assignment of two or more sub-processes executed in parallel is equal; two or more sub-processes executed item by item belong to a service process; setting a starting condition of the service process and standard time for completing each sub-process of the service process; executing a sub-process of the service process after the service process is triggered; identifying a customized sub-process in the service process; and setting an operation method, a feedback mode and a payment mode of the customized sub-process.
In one or more embodiments of the invention, the step of matching at least one facilitator in the facilitator database comprises: confirming the required professional category and service area according to the service order; matching to obtain all service providers which accord with the professional categories and the service areas, and calculating the sum of professional qualification values, service capability values and service price values for each matched service provider; sorting all matched service providers from large to small or from small to large according to the sum of the professional qualification value, the service capability value and the service price value of each matched service provider; the higher ranked service providers have a higher priority in obtaining the service order.
One or more embodiments of the invention disclose a service management device based on artificial intelligence, which is used for managing service products facing enterprise groups. The artificial intelligence based service management apparatus includes: the database creating module is used for creating a service product database, a service flow database and a service provider database; the acquisition module is used for acquiring service demand information; the service product matching module is used for matching at least one service product in the service product database according to the service demand information; the service order generating module is used for generating a service order for each matched service product; the service flow matching module is used for matching service flows in the service flow database according to the service orders; the service provider matching module is used for matching at least one service provider in the service provider database according to the service order and by combining the matched service flow; the sending module is used for sending the service order to the matched service terminals of all the service providers; and the monitoring module is used for monitoring the implementation time and the delivery content of each matched service product.
In one or more embodiments of the invention, the service product database includes a requirement label for each preset service product, and the requirement label defines each preset service product from a professional dimension, an industry dimension, a price dimension, and an area dimension; the service product matching module comprises: the capturing submodule is used for capturing a requirement keyword and a user address or IP information in the service requirement information after the service requirement information is obtained; the dimension matching submodule is used for matching the major, industry and price from the major dimension, the industry dimension and the price dimension according to the requirement key words; a service area matching submodule for matching a service area from the area dimension in the service product database according to the user address or the IP information; and the product matching sub-module is used for matching preset service products in the service product database according to the matched speciality, industry, price and service area.
In one or more embodiments of the present invention, the service flow matching module includes: the sub-process sequencing module is used for assigning values to each sub-process according to the execution sequence of each sub-process, and the assignment of each sub-process executed from first to last is changed from small to large or from large to small; the assignment of two or more sub-processes executed in parallel is equal; two or more sub-processes executed item by item belong to a service process; the time setting submodule is used for setting the starting condition of the service process and the standard time for finishing each sub-process of the service process; executing a sub-process of the service process after the service process is triggered; the customizing submodule is used for identifying a customized sub-process in the service process; and setting an operation method, a feedback mode and a payment mode of the customized sub-process.
In one or more embodiments of the invention, the facilitator matching module comprises: the confirming submodule is used for confirming the required professional categories and service areas according to the service orders; the summation submodule is used for matching and obtaining all the service providers which accord with the professional categories and the service areas, and calculating the sum of professional qualification values, service capability values and service price values for each matched service provider; the service provider sorting submodule is used for sorting all matched service providers from large to small or from small to large according to the sum of the professional qualification value, the service capability value and the service price value of each matched service provider; the higher ranked service providers have a higher priority in obtaining the service order.
One or more embodiments of the present invention disclose an artificial intelligence based service management system, including: one or more enterprise terminals, one or more service terminals and one or more service management terminals; one or more enterprise terminals and one or more service terminals are in communication connection; one or more service terminals are in communication connection with one or more service management terminals; the enterprise terminal is used for submitting service requirements, checking service progress and initiating service evaluation; the service terminal is used for receiving service products and service flows; the service management terminal is used for realizing any one of the service management methods based on artificial intelligence.
One or more embodiments of the invention disclose a non-transitory computer-readable storage medium. The computer-readable storage medium stores a document information entry program executable by at least one processor to cause the at least one processor to perform any one of the artificial intelligence based service management methods described above.
One or more embodiments of the invention disclose a computer device. The computer equipment applied to the flying probe testing equipment comprises: at least one processor, at least one memory, at least one input device, and at least one output device. The processor, the memory, the input device and the output device are connected through a bus. The computer equipment is used for realizing any one of the artificial intelligence-based service management methods.
Compared with the prior art, the technical scheme disclosed by the invention mainly has the following beneficial effects:
in the embodiment of the invention, the service demand information can be split and matched into a plurality of service products finally by creating the service product database, the service flow database and the service provider database, then acquiring the service demand information, and then matching at least one service product in the service product database according to the service demand information. And generating a service order for each matched service product, and then matching a service flow in the service flow database according to the service order, so that the service demand information can correspondingly obtain a plurality of service orders. And matching at least one service provider in the service provider database according to the service order and the matched service flow, and then sending the service order to the service terminals of all matched service providers, so that the service demand information can be finally and jointly completed by a plurality of service providers according to respective professional specialties. By monitoring the implementation time and delivery content of each matched service product, the service quality can be fully guaranteed. In the embodiment of the invention, the service management method based on artificial intelligence enables the management method facing the multi-professional service of enterprise groups to have networking, systematization, intellectualization and high efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 is a flowchart illustrating a method for artificial intelligence based service management according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating the substeps of step 3 according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the substeps of step 5 in an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating the substeps of step 3 according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating an artificial intelligence based service management apparatus according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating sub-modules of the service product matching module 30 according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating sub-modules of the service flow matching module 50 according to an embodiment of the present invention;
FIG. 8 is a block diagram of a sub-module of the facilitator match module 60, according to an embodiment of the present disclosure;
FIG. 9 is a diagram of an artificial intelligence based service management system in accordance with an embodiment of the present invention;
fig. 10 is a block diagram of a basic structure of a computer device in an embodiment of the present application.
Description of reference numerals:
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
In the current medium and small-sized enterprise operation, due to the limitation of factors such as cost, scale and the like, professional organizations and personnel cannot be systematically configured, the enterprise service outsourcing is an important choice in the operation of most medium and small-sized enterprises, but the professional barriers, the information asymmetry and the intelligent service attributes are always obstacles in the service outsourcing of a plurality of medium and small-sized enterprises, but most of the problems of enterprise operation are the problems that the whole body is dragged and the single professional can be solved. Most of the current service parties only start from the self specialization, the requirement of an enterprise is solved by one dimension, and the problem of the enterprise is difficult to solve by an enterprise operation dimension system, so that the solved requirement of the enterprise is not the symptom of the problem of the enterprise from the enterprise operation angle, and the problem is trapped in the state of headache and headache of the head and foot, which cannot be solved fundamentally, and even if the requirement specialization is right, one-sided service and over-service are all better. Therefore, the problem of the enterprise cannot be confirmed by the enterprise without professional judgment ability. The responsibility main body of the work coordinated by the current multi-professional service parties falls on an enterprise without management capacity, and the main body without professional identification capacity, professional management capacity, professional evaluation capacity and professional guidance capacity is inevitably insufficient to manage and coordinate the multi-professional service parties, and the inevitable result that the benefits of the enterprise cannot be guaranteed is also inevitably caused, so that the situation that the enterprise is served by one side or excessive service, the resources are repeatedly input, the efficiency is lost, the core value of the enterprise cannot be surrounded, and the like becomes the current situation of industrial service.
An embodiment of the invention discloses a service management method based on artificial intelligence.
Referring to fig. 1, a flow chart of a service management method based on artificial intelligence according to an embodiment of the present invention is shown. Those skilled in the art will appreciate that the order of the steps illustrated in fig. 1 is not absolute.
As illustrated in fig. 1, the artificial intelligence based service management method includes:
step 1: creating a service product database, a service flow database and a service provider database;
step 2: acquiring service demand information;
and step 3: matching at least one service product in the service product database according to the service demand information;
and 4, step 4: generating a service order for each matched service product;
and 5: matching service processes in the service process database according to the service orders;
step 6: matching at least one service provider in the service provider database according to the service order and in combination with the matched service flow;
and 7: sending the service order to the service terminals of all matched service providers;
and 8: and monitoring the implementation time and delivery content of each matched service product.
The steps 1 to 8 are mainly implemented by a service management end, and the service management end comprises one or more cloud servers, one or more databases, a service management end management terminal and the like.
In the embodiment of the invention, the service demand information can be split and matched into a plurality of service products finally by creating the service product database, the service flow database and the service provider database, then acquiring the service demand information, and then matching at least one service product in the service product database according to the service demand information. And generating a service order for each matched service product, and then matching a service flow in the service flow database according to the service order, so that the service demand information can correspondingly obtain a plurality of service orders. And matching at least one service provider in the service provider database according to the service order and the matched service flow, and then sending the service order to the service terminals of all matched service providers, so that the service demand information can be finally and jointly completed by a plurality of service providers according to respective professional specialties. By monitoring the implementation time and delivery content of each matched service product, the service quality can be fully guaranteed. In the embodiment of the invention, the service management method based on artificial intelligence enables the management method facing the multi-professional service of enterprise groups to have networking, systematization, intellectualization and high efficiency.
Referring to fig. 2, a schematic diagram of the sub-step of step 3 in an embodiment of the present invention is shown.
In some embodiments of the invention, the artificial intelligence based service management method further comprises: the service product database comprises a demand label of each preset service product, and the demand label defines each preset service product from a professional dimension, an industry dimension, a price dimension and an area dimension.
The step 3 comprises the following substeps:
step 31: and capturing a requirement keyword and a user address or IP information in the service requirement information after the service requirement information is obtained.
Step 32: matching the specialties, industries and prices from the specialties dimension, the industry dimension and the price dimension according to the demand keywords.
Step 33: and matching a service area from the area dimension in the service product database according to the user address or the IP information.
Step 34: and matching preset service products in the service product database according to the matched professions, industries, prices and service areas.
Referring to fig. 3, a schematic diagram of the sub-steps of step 5 in an embodiment of the present invention is shown.
In some embodiments of the invention, said step 5 comprises the following sub-steps:
step 51: assigning values to each sub-process according to the execution sequence of each sub-process, wherein the assignment of each sub-process executed from first to last is from small to large or from large to small; the assignment of two or more sub-processes executed in parallel is equal; two or more sub-processes executed item by item belong to one service process.
Step 52: setting a starting condition of the service process and standard time for completing each sub-process of the service process; and executing the sub-process of the service process after the service process is triggered.
Step 53: identifying a customized sub-process in the service process; and setting an operation method, a feedback mode and a payment mode of the customized sub-process.
Referring to fig. 4, a schematic diagram of the sub-step of step 3 in an embodiment of the present invention is shown.
In some embodiments of the invention, said step 6 comprises:
step 61: and confirming the required professional category and service area according to the service order.
Step 62: and matching to obtain all service providers which accord with the professional categories and the service areas, and calculating the sum of professional qualification values, service capability values and service price values for each matched service provider.
And step 63: sorting all matched service providers from large to small or from small to large according to the sum of the professional qualification value, the service capability value and the service price value of each matched service provider; the higher ranked service providers have a higher priority in obtaining the service order.
In some embodiments of the invention, a supervisory node is provided for the service flow, where the implementation time and the delivery content are obtained. And supervising each matched service product by judging whether the implementation time is within the standard time and whether the delivery content meets the requirements.
An embodiment of the invention discloses a service management device based on artificial intelligence. Fig. 5 is a schematic diagram of an artificial intelligence based service management apparatus according to an embodiment of the present invention.
As illustrated in fig. 5, the artificial intelligence based service management apparatus includes:
and the database creating module 10 is used for creating a service product database, a service flow database and a service provider database.
The obtaining module 20 is configured to obtain the service requirement information.
And the service product matching module 30 is configured to match at least one service product in the service product database according to the service demand information.
A service order generation module 40, configured to generate a service order for each matched service product;
and the service flow matching module 50 is configured to match a service flow in the service flow database according to the service order.
And the service provider matching module 60 is configured to match at least one service provider in the service provider database according to the service order and in combination with the matched service flow.
And a sending module 70, configured to send the service order to the service terminals of all matched service providers.
And a monitoring module 80 for monitoring the implementation time and delivery content of each matched service product.
In the embodiment of the invention, the service management device based on artificial intelligence enables a plurality of service providers to jointly complete corresponding service requirements according to respective professional specialties, and can fully guarantee the service quality by monitoring the implementation time and delivery content of each matched service product. In the embodiment of the invention, the service management device based on artificial intelligence enables the management method facing the multi-professional service of the enterprise group to have networking, systematization, intellectualization and high efficiency.
Referring to fig. 6, a schematic diagram of sub-modules of the service product matching module 30 according to an embodiment of the present invention is shown.
In some embodiments of the present invention, the service product matching module 30 comprises:
the capturing sub-module 301 is configured to capture a requirement keyword and a user address or IP information in the service requirement information after the service requirement information is obtained.
And the dimension matching submodule 302 is used for matching the major, industry and price from the major dimension, the industry dimension and the price dimension according to the requirement keywords.
And the service area matching submodule 303 is configured to match a service area from the area dimension in the service product database according to the user address or the IP information.
And the product matching sub-module 304 is used for matching preset service products in the service product database according to the matched specialties, industries, prices and service areas.
Referring to fig. 7, a schematic diagram of sub-modules of the service flow matching module 50 according to an embodiment of the present invention is shown.
In some embodiments of the present invention, the service flow matching module 50 comprises:
a sub-process ordering module 501, configured to assign a value to each sub-process according to an execution sequence of each sub-process, where the value of each sub-process executed first and last is changed from small to large or from large to small; the assignment of two or more sub-processes executed in parallel is equal; two or more sub-processes executed item by item belong to one service process.
A time setting sub-module 502, configured to set a starting condition of the service process and a standard time for completing each sub-process of the service process; and executing the sub-process of the service process after the service process is triggered.
A customizing submodule 503, configured to identify a customized sub-process in the service process; and setting an operation method, a feedback mode and a payment mode of the customized sub-process.
Referring to fig. 8, a sub-module of the facilitator matching module 60 according to an embodiment of the present invention is shown.
In some embodiments of the present invention, the facilitator matching module 60 comprises:
and the confirming submodule 601 is used for confirming the required professional categories and service areas according to the service orders.
And the summation sub-module 602 is used for matching to obtain all the service providers which accord with the professional category and the service area, and calculating the sum of professional qualification value, service capability value and service price value for each matched service provider.
The facilitator sequencing sub-module 603 is configured to sequence all matched facilitators from large to small or from small to large according to the sum of the professional qualification value, the service capability value and the service price value of each matched facilitator; the higher ranked service providers have a higher priority in obtaining the service order.
An embodiment of the invention discloses a service management system based on artificial intelligence.
Referring to fig. 9, a schematic diagram of an artificial intelligence based service management system according to an embodiment of the invention is shown.
As illustrated in fig. 9, the artificial intelligence based service management system includes: one or more enterprise terminals 100, one or more service terminals 200, and one or more service managers 300; one or more of the enterprise terminals 100 and one or more of the service terminals 200 are communicatively connected; one or more of the service terminals 200 are communicatively connected to one or more of the service managers 300. The service manager 300 includes a plurality of servers, a plurality of databases, a plurality of gateways, and the like.
The enterprise terminal 100 is used for submitting service requirements, checking service progress and initiating service evaluation;
the service terminal 200 is used for receiving service products and service processes;
the service management terminal 300 is configured to implement any one of the above service management methods based on artificial intelligence.
Some embodiments of the present application disclose a computer device.
Fig. 10 is a block diagram of a basic structure of a computer device according to an embodiment of the present application.
As illustrated in fig. 10, the computer apparatus includes a memory 101, a processor 102, and a network interface 103, which are communicatively connected to each other through a system bus. It is noted that only a computer device having components 101 and 103 is shown in FIG. 10, but it is understood that not all of the illustrated components are required and that more or fewer components may alternatively be implemented. As will be understood by those skilled in the art, the computer device herein is a device capable of automatically performing numerical calculation and/or information processing according to preset or stored instructions, and the hardware includes but is not limited to a microprocessor, an Application specific integrated circuit (Application)
Specific Integrated Circuits (ASICs), Programmable Gate arrays (FPGAs), Digital Signal Processors (DSPs), embedded devices, and the like.
The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.
The memory 101 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the storage 101 may be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. In other embodiments, the memory 101 may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like provided on the computer device. Of course, the memory 101 may also include both internal and external storage devices of the computer device. In this embodiment, the memory 101 is generally used for storing an operating system and various application software installed on the computer device, such as the program codes of the above-mentioned artificial intelligence based service management method. Further, the memory 101 may also be used to temporarily store various types of data that have been output or are to be output.
The processor 102 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 102 is typically used to control the overall operation of the computer device. In this embodiment, the processor 102 is configured to execute the program code stored in the memory 101 or process data, for example, execute the program code of the artificial intelligence based service management method.
The network interface 103 may comprise a wireless network interface or a wired network interface, and the network interface 103 is generally used for establishing communication connection between the computer device and other electronic devices.
The present application provides yet another embodiment that provides a computer-readable storage medium having a document information entry program stored thereon, the document information entry program being executable by at least one processor to cause the at least one processor to perform the steps of any one of the artificial intelligence based service management methods described above.
Finally, it should be noted that the above-mentioned embodiments illustrate only some of the embodiments of the present application, and are therefore not to be considered limiting of its scope, for the invention may admit to other equally effective embodiments. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.
Claims (10)
1. A service management method based on artificial intelligence is used for managing service products facing enterprise groups, and is characterized by comprising the following steps:
creating a service product database, a service flow database and a service provider database, wherein the service product database comprises a demand label of each preset service product, and the demand label defines each preset service product from professional dimension, industry dimension, price dimension and area dimension;
acquiring service demand information;
matching at least one service product in the service product database according to the service demand information;
generating a service order for each matched service product;
matching service processes in the service process database according to the service orders;
matching at least one service provider in the service provider database according to the service order and in combination with the matched service flow;
sending the service order to the service terminals of all matched service providers;
and monitoring the implementation time and delivery content of each matched service product.
2. The artificial intelligence based service management method according to claim 1, further comprising, after obtaining the service demand information:
capturing a requirement keyword and a user address or IP information in the service requirement information; matching the major, industry and price from the major dimension, the industry dimension and the price dimension according to the requirement keywords; matching a service area from the area dimension in the service product database according to the user address or the IP information;
and matching preset service products in the service product database according to the matched professions, industries, prices and service areas.
3. The artificial intelligence based service management method of claim 1, wherein the step of matching service flows in the service flow database comprises:
assigning values to each sub-process according to the execution sequence of each sub-process, wherein the assignment of each sub-process executed from first to last is from small to large or from large to small; the assignment of two or more sub-processes executed in parallel is equal; two or more sub-processes executed item by item belong to a service process;
setting a starting condition of the service process and standard time for completing each sub-process of the service process; executing a sub-process of the service process after the service process is triggered;
identifying a customized sub-process in the service process; and setting an operation method, a feedback mode and a payment mode of the customized sub-process.
4. The artificial intelligence based service management method of claim 1, wherein the step of matching at least one facilitator in the facilitator database comprises:
confirming the required professional category and service area according to the service order;
matching to obtain all service providers which accord with the professional categories and the service areas, and calculating the sum of professional qualification values, service capability values and service price values for each matched service provider;
sorting all matched service providers from large to small or from small to large according to the sum of the professional qualification value, the service capability value and the service price value of each matched service provider; the higher ranked service providers have a higher priority in obtaining the service order.
5. An artificial intelligence based service management apparatus for managing service products for an enterprise population, comprising:
the system comprises a database creating module (10) for creating a service product database, a service flow database and a service provider database, wherein the service product database comprises a demand label of each preset service product, and each preset service product is defined by the demand label from professional dimension, industry dimension, price dimension and area dimension;
an acquisition module (20) for acquiring service demand information;
a service product matching module (30) for matching at least one service product in the service product database according to the service demand information;
a service order generation module (40) for generating a service order for each matched service product;
a service flow matching module (50) for matching service flows in the service flow database according to the service orders;
the service provider matching module (60) is used for matching at least one service provider in the service provider database according to the service order and in combination with the matched service flow;
the sending module (70) is used for sending the service orders to the service terminals of all matched service providers;
and the monitoring module (80) is used for monitoring the implementation time and the delivery content of each matched service product.
6. The artificial intelligence based service management apparatus according to claim 5, wherein the service product matching module (30) comprises:
the capturing sub-module (301) is used for capturing a requirement keyword and a user address or IP information in the service requirement information after the service requirement information is obtained;
a dimension matching sub-module (302) for matching specialties, industries and prices from a specialties dimension, an industry dimension and a price dimension according to the demand keyword;
a service area matching sub-module (303) for matching a service area from the area dimension in the service product database according to the user address or the IP information;
and the product matching sub-module (304) is used for matching preset service products in the service product database according to the matched specialties, industries, prices and service areas.
7. The artificial intelligence based service management apparatus according to claim 5, wherein the service flow matching module (50) comprises:
the sub-process ordering module (501) is used for assigning values to each sub-process according to the execution sequence of each sub-process, and the assignment of each sub-process executed from first to last is changed from small to large or from large to small; the assignment of two or more sub-processes executed in parallel is equal; two or more sub-processes executed item by item belong to a service process;
a time setting submodule (502) for setting a starting condition of the service flow and a standard time for completing each sub-flow of the service flow; executing a sub-process of the service process after the service process is triggered;
a customizing sub-module (503) for identifying a customized sub-process of the service process; and setting an operation method, a feedback mode and a payment mode of the customized sub-process.
8. The artificial intelligence based service management apparatus according to claim 5, wherein the facilitator matching module (60) comprises:
a confirmation submodule (601) for confirming a required professional category and a required service area according to the service order;
a summation submodule (602) for matching to obtain all the service providers according with the professional categories and the service areas, and calculating the sum of professional qualification values, service capability values and service price values for each matched service provider;
the service provider sorting submodule (603) is used for sorting all matched service providers from large to small or from small to large according to the sum of the professional qualification value, the service capability value and the service price value of each matched service provider; the higher ranked service providers have a higher priority in obtaining the service order.
9. An artificial intelligence based service management system for managing service products oriented to enterprise groups, comprising: one or more enterprise terminals (100), one or more service terminals (200) and one or more service management terminals (300); one or more of the enterprise terminals (100) and one or more of the service terminals (200) are communicatively connected; one or more service terminals (200) are in communication connection with one or more service management terminals (300);
the enterprise terminal (100) is used for submitting service requirements, checking service progress and initiating service evaluation;
the service terminal (200) is used for receiving service products and service flows;
the service management terminal (300) is used for implementing the artificial intelligence based service management method of any one of claims 1 to 4.
10. A non-transitory computer-readable storage medium storing a document information entry program executable by at least one processor to cause the at least one processor to perform the artificial intelligence based service management method of any one of claims 1 to 4.
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