Household service platform matching optimization method

Abstract

The invention discloses a housekeeping service platform matching optimization method, which comprises the following steps: S1, a user logs in a housekeeping platform after completing registration, and uploads personal information and required housekeeping service requirements; s2, subdividing and uploading all housekeeping service companies, and carrying out quality grade division on the housekeeping companies; compared with the prior art, the method has the beneficial effects that by adding division of housekeeping service quality grades and service types, users can conveniently perform screening selection, and the housekeeping service platform can optimize housekeeping companies; by adding a transparent real-time monitoring window and establishing a matching function of log analysis, the overall condition of housekeeping service personnel in the whole housekeeping service process can be known in time, so that a user can conveniently check the condition at any time, a housekeeping service platform can conveniently divide the quality grade of a housekeeping company according to the service process, and the user experience is improved. Therefore, the matching optimization progress of the platform is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of housekeeping services, and in particular to a housekeeping service platform matching optimization method. Background Art

[0002] Domestic service refers to the socialization, professionalization and marketization of some family affairs. It belongs to the category of people's livelihood and is undertaken by social professional institutions, community institutions, non-profit organizations, domestic service companies and professional domestic service personnel. It helps families interact with society, build family norms, improve the quality of family life, and thus promote the development of the entire society.

[0003] With the development of the times, many families no longer do their own housekeeping and cleaning, which has led to the emergence of the housekeeping service industry. However, the existing housekeeping service platforms are too complex and have poor matching and optimization performance. Not only is it difficult to provide users with a better user experience, but a large number of housekeeping companies are not screened well, resulting in a poor user experience. It is difficult for users and housekeeping companies to achieve optimal matching, which makes the order cycle too long, resulting in a declining reputation of the housekeeping service platform and a decrease in the number of users. Summary of the invention

[0004] The purpose of the present invention is to provide a housekeeping service platform matching optimization method to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for optimizing the matching of a housekeeping service platform, comprising the following steps:

[0006] S1: After completing the registration, the user logs in to the housekeeping platform and uploads personal information and required housekeeping service requirements;

[0007] S2: Upload all housekeeping service companies in detail and classify them into quality grades;

[0008] S3: The user uploads the required housekeeping service requirements and category information, and selects the surrounding preferred housekeeping service companies based on the user's requirements;

[0009] S4: Obtain the order volume threshold of the housekeeping service company, and allow users to conduct independent screening and personalized customization;

[0010] S5: Optimize the management of user orders, distinguish between scheduled orders, expedited orders and normal orders, and display the order completion status and payment method;

[0011] S6: Establish real-time and transparent housekeeping service management to display the progress of housekeeping services and conduct platform and customer acceptance after completion;

[0012] S7: Use big data algorithms to scan the platform and build a dynamic optimization model for the information needs of domestic service users;

[0013] S8: Establish platform monitoring log analysis and optimize algorithms for abnormal operation of the service platform;

[0014] S9: Build a review and feedback function on the housekeeping service platform that hides identity information, as well as a feedback window for service personnel.

[0015] Preferably, in step S1, the user uploads personal information to the housekeeping service platform, registers a personal account according to the registration steps of the housekeeping service platform, and then uses the account to log in to the housekeeping service platform, publishes the housekeeping service requirements, housekeeping service location and housekeeping service location on the housekeeping service platform, and if it is a normal order, it is placed normally according to the service sequence, if a pre-order needs to be placed, an exact time is reserved, and if an expedited order is placed, additional fees are required.

[0016] Preferably, in step S2, when a large amount of housekeeping company information is uploaded to the housekeeping service platform, the housekeeping service platform divides the housekeeping companies into different levels of quality according to their information and previous housekeeping service history. Companies with better housekeeping services are marked with stars, while companies with poorer housekeeping services are marked separately or even worse ones are directly blacklisted. Housekeeping service companies with different service types are subdivided to facilitate users' query and selection.

[0017] Preferably, in step S3, after the user completes the requirements and location for the housekeeping service, the surrounding housekeeping companies are sorted according to the level of housekeeping services, distance, working hours, etc. according to the housekeeping service location specified by the user.

[0018] Preferably, in step S4, after the screening of the housekeeping companies is completed, the number of orders received by the housekeeping companies is displayed, and the threshold of the maximum number of orders that the housekeeping companies can receive is displayed, and the user can independently screen the required housekeeping companies on the basis of the above, and the housekeeping service platform is set up with users to independently and personalized screen and customize the required housekeeping companies according to requirements, and in the next step S5, the type of user's order and additional remarks are managed for order screening, and the orders are screened into expedited orders, normal orders and appointment orders according to the order of type and housekeeping service time, and the user orders with additional special requirements are specially distinguished and dispatched, and the progress is displayed throughout the entire cycle from the user placing the order to the completion of the order, and a variety of payment methods such as online payment are displayed after the order is placed.

[0019] Preferably, in step S6, a transparent real-time monitoring window is established on the housekeeping service platform. When the housekeeping service is in progress, the staff will place the camera they carry in the user's home, so that the user can understand the housekeeping service status at any time and save images of the entire process of the housekeeping service, which can be viewed in special circumstances. The completion progress of the housekeeping service can be displayed according to the transparent monitoring window. After the housekeeping service is completed, the housekeeping platform can conduct acceptance through the transparent window, and then the user can conduct on-site acceptance, thereby meeting the acceptance standards of both parties.

[0020] Preferably, in step S7, the current big data algorithm is used to regularly scan the entire housekeeping service platform to prevent loopholes in the housekeeping service platform, and a dynamic optimization model of user needs is constructed in time according to user information, and the trend of the optimization model is used to optimize the housekeeping service platform, and the service optimization work is completed for the defects of the housekeeping service platform according to user needs.

[0021] Preferably, in step S8, a big data algorithm is used to establish an automatic log writing function in the housekeeping service platform, and the images taken by the transparent window are promptly logged. When an analysis abnormality occurs in the housekeeping service platform using the big data algorithm, the backstage personnel are promptly warned and the algorithm of the housekeeping service platform is optimized. Finally, in step S9, after the entire housekeeping service acceptance and dispatching is completed, the user information is logged in and hidden through an independent window of the housekeeping service platform, so as to facilitate users to comment on the pros and cons of this housekeeping service. At the same time, it is set that the housekeeping service personnel will give feedback on the process of this housekeeping service, so as to achieve information feedback from both parties, so as to facilitate the housekeeping service platform to conduct a two-way feedback comparison between users and housekeeping service companies, so as to classify the quality of housekeeping service companies.

[0022] Compared with the prior art, the beneficial effects of the present invention are as follows: by adding the classification of housekeeping service quality levels and service types, it is convenient for users to screen and select, and it is possible for the housekeeping service platform to optimize the housekeeping company; by adding a window with transparent real-time monitoring and establishing a matching function for log analysis, it is possible to timely understand the overall situation of the housekeeping service personnel in the entire housekeeping service process, so that users can view it at any time, and it is more convenient for the housekeeping service platform to classify the quality levels of the housekeeping companies according to the service process, so as to improve the matching optimization progress of the platform; by adding a dynamic optimization model for user needs, it is possible to timely optimize the defects of the platform according to the trend of the optimization model, and improve the optimization matching degree between the housekeeping company and the user after the optimization is completed; by adding a hidden comment feedback window for the identity of users and housekeeping service personnel on the housekeeping service process, it is possible to provide a good reference basis for the housekeeping service platform, so as to facilitate the classification of the quality levels of the housekeeping companies, and then complete the matching optimization of the housekeeping service platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] See also Figure 1 The present invention provides a technical solution: a method for optimizing the matching of a housekeeping service platform, comprising the following steps:

[0026] S1: After completing the registration, the user logs in to the housekeeping platform and uploads personal information and required housekeeping service requirements;

[0027] S2: Upload all housekeeping service companies in detail and classify them into quality grades;

[0028] S3: The user uploads the required housekeeping service requirements and category information, and selects the surrounding preferred housekeeping service companies based on the user's requirements;

[0029] S4: Obtain the order volume threshold of the housekeeping service company, and allow users to conduct independent screening and personalized customization;

[0030] S5: Optimize the management of user orders, distinguish between scheduled orders, expedited orders and normal orders, and display the order completion status and payment method;

[0031] S6: Establish real-time and transparent housekeeping service management to display the progress of housekeeping services and conduct platform and customer acceptance after completion;

[0032] S7: Use big data algorithms to scan the platform and build a dynamic optimization model for the information needs of domestic service users;

[0033] S8: Establish platform monitoring log analysis and optimize algorithms for abnormal operation of the service platform;

[0034] S9: Build a review and feedback function on the housekeeping service platform that hides identity information, as well as a feedback window for service personnel.

[0035] Among them, in the step S2, when a large amount of housekeeping company information is uploaded to the housekeeping service platform, the housekeeping service platform divides the quality into different levels according to the housekeeping company information and previous housekeeping service history. Companies with better housekeeping services are specially marked with stars, and companies with poorer housekeeping services are marked separately or directly blacklisted. Housekeeping service companies of different service types are subdivided to facilitate users to query and select.

[0036] Among them, in step S3, after the user completes the requirements and location of the housekeeping service, the surrounding housekeeping companies are sorted according to the level of housekeeping services, distance, working hours, etc. according to the housekeeping service location specified by the user.

[0037] Among them, in the step S4, after completing the screening of the housekeeping companies, the number of orders received by the housekeeping companies is displayed, and the threshold of the maximum number of orders that the housekeeping companies can receive is displayed. On the above basis, the user can independently screen the required housekeeping companies, and the housekeeping service platform is set up with users to independently and personalized screen and customize the required housekeeping companies according to requirements, and in the next step S5, the type of user's order and additional remarks are managed for order screening, and the orders are screened into expedited orders, normal orders and appointment orders according to the order of type and housekeeping service time. User orders with additional special requirements are specially distinguished and dispatched, and the progress is displayed throughout the entire cycle from the user placing the order to the completion of the order, and multiple payment methods such as online payment are displayed after the order is placed.

[0038] Among them, in step S6, a transparent real-time monitoring window is established on the housekeeping service platform. When the housekeeping service is in progress, the staff will place the camera they carry in the user's home, so that the user can understand the housekeeping service status at any time and save the image of the entire process of the housekeeping service, which can be viewed in special circumstances. The completion progress of the housekeeping service can be displayed according to the transparent monitoring window. After the housekeeping service is completed, the housekeeping platform can conduct acceptance through the transparent window, and then the user can conduct on-site acceptance, thereby completing the acceptance standards of both parties.

[0039] Among them, in the S7 step, the current big data algorithm is used to perform regular scanning of the entire housekeeping service platform to prevent loopholes in the housekeeping service platform, and to timely build a dynamic optimization model of user needs based on user information, and use the trend of the optimization model to optimize the housekeeping service platform, and complete the service optimization work of the housekeeping service platform defects according to user needs.

[0040] Among them, in step S8, the big data algorithm is used to establish an automatic log writing function in the housekeeping service platform, and the images taken by the transparent window are timely logged. When the housekeeping service platform using the big data algorithm has an analysis abnormality, the backstage personnel are promptly warned and the algorithm of the housekeeping service platform is optimized. Finally, in step S9, after the entire housekeeping service acceptance and dispatching is completed, the user information is logged and hidden through an independent window of the housekeeping service platform, so as to facilitate users to comment on the pros and cons of this housekeeping service. At the same time, it is set that the housekeeping service personnel will give feedback on the process of this housekeeping service, so as to achieve information feedback from both parties, so as to facilitate the housekeeping service platform to conduct two-way feedback comparison between users and housekeeping service companies, so as to classify the quality of housekeeping service companies.

[0041] Specifically, when using the present invention, the user first uploads personal information to the housekeeping service platform, and registers a personal account according to the registration steps of the housekeeping service platform, and then uses the account to log in to the housekeeping service platform, and publishes the housekeeping service requirements, housekeeping service location and housekeeping service location on the housekeeping service platform. If it is a normal order, the order is placed normally according to the service sequence. If a pre-order needs to be placed, an exact time is reserved. If an expedited order is placed, additional expenses are required. After a large amount of housekeeping company information is uploaded to the housekeeping service platform, the housekeeping service platform divides the quality into different levels according to the housekeeping company information and the previous housekeeping service history. Companies with better housekeeping services are marked with stars, and companies with poorer housekeeping services are marked with stars. Those with worse quality will be marked separately or directly blacklisted, and housekeeping service companies of different service types will be subdivided to facilitate users' query and selection. After the user completes the requirements and location of the housekeeping service, the surrounding housekeeping companies will be sorted according to the level of housekeeping service, distance, working hours and other screening methods based on the housekeeping service location specified by the user. After the housekeeping company is screened, the number of orders received by the housekeeping company will be displayed, as well as the threshold of the maximum number of orders that the housekeeping company can receive. On the basis of the above, users can independently screen the housekeeping companies they need, and the housekeeping service platform is set up for users to independently and personalized screen and customize the housekeeping companies they need according to the requirements, and in the next step In the step, the order type and additional remarks required by the user are screened and managed. The orders are screened into expedited orders, normal orders and appointment orders according to the order type and housekeeping service time. The user orders with additional special requirements are specially distinguished and dispatched. The progress is displayed throughout the entire cycle from the user placing the order to the completion of the order. After the order is placed, multiple payment methods such as online payment are displayed. A transparent real-time monitoring window is established on the housekeeping service platform. When the housekeeping is in progress, the staff will place the camera they carry in the user's home, so that the user can understand the housekeeping service status at any time and save the image of the entire process of the housekeeping service, which can be viewed in special circumstances, and the housekeeping service can be displayed according to the transparent monitoring window. After the housekeeping service is completed, the housekeeping platform can be inspected through the transparent window, and then the user can conduct on-site inspection to complete the acceptance standards of both parties, and use the current big data algorithm to regularly scan the entire housekeeping service platform to prevent loopholes in the housekeeping service platform, and timely build a dynamic optimization model of user needs based on user information, use the advantages of the optimization model to optimize the housekeeping service platform, and complete the service optimization work of the housekeeping service platform defects according to user needs, and then use the big data algorithm to establish an automatic log writing function on the housekeeping service platform, and keep the images taken by the transparent window in time. When the housekeeping service platform uses the big data algorithm, the analysis is abnormal.Timely early warnings are given to backstage staff and the algorithm of the housekeeping service platform is optimized. Finally, after the entire housekeeping service acceptance and dispatching is completed, the user information is logged in and hidden in an independent window of the housekeeping service platform, so that users can comment on the pros and cons of this housekeeping service. At the same time, housekeeping service staff are set to give feedback on the process of this housekeeping service, so as to achieve information feedback from both parties, so that the housekeeping service platform can compare the feedback from users and housekeeping service companies on both sides, so as to classify the quality of housekeeping service companies.

[0042] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A domestic service platform matching optimization method, characterized in that: The following steps are involved: S1: After completing the registration, the user logs in to the housekeeping platform and uploads personal information and required housekeeping service requirements; S2: Upload all housekeeping service companies in detail and classify them into quality grades; S3: The user uploads the required housekeeping service requirements and category information, and selects the surrounding preferred housekeeping service companies based on the user's requirements; S4: Obtain the order volume threshold of the housekeeping service company, and allow users to conduct independent screening and personalized customization; S5: Optimize the management of user orders, distinguish between scheduled orders, expedited orders and normal orders, and display the order completion status and payment method; S6: Establish real-time and transparent housekeeping service management to display the progress of housekeeping services and conduct platform and customer acceptance after completion; S7: Use big data algorithms to scan the platform and build a dynamic optimization model for the information needs of domestic service users; S8: Establish platform monitoring log analysis and optimize algorithms for abnormal operation of the service platform; S9: Build a review and feedback function on the housekeeping service platform that hides identity information, as well as a feedback window for service personnel.

2. A domestic service platform matching optimization method according to claim 1, characterized in that: In step S1, the user uploads personal information to the housekeeping service platform, registers a personal account according to the registration steps of the housekeeping service platform, and then uses the account to log in to the housekeeping service platform, publishes the housekeeping service requirements, housekeeping service location and housekeeping service location on the housekeeping service platform, and if it is a normal order, it is placed normally according to the service sequence, if a pre-order needs to be placed, an exact time is reserved, and if an expedited order is placed, additional fees are required.

3. A domestic service platform matching optimization method according to claim 3, characterized in that: In step S2, when a large amount of housekeeping company information is uploaded to the housekeeping service platform, the housekeeping service platform divides the quality into different levels according to the housekeeping company information and previous housekeeping service history. Companies with better housekeeping services are marked with stars, and companies with poorer housekeeping services are marked separately or directly blacklisted. Housekeeping service companies with different service types are subdivided to facilitate users to query and select.

4. A domestic service platform matching optimization method according to claim 1, characterized in that: In step S3, after the user completes the requirements and location of the housekeeping service, the surrounding housekeeping companies are sorted according to the level of housekeeping services, distance, working hours, etc. according to the housekeeping service location specified by the user.

5. A domestic service platform matching optimization method according to claim 5, characterized in that: In the step S4, after the housekeeping companies are screened, the number of orders received by the housekeeping companies is displayed, as well as the threshold of the maximum number of orders that the housekeeping companies can receive. Based on the above, users can independently screen the required housekeeping companies, and the housekeeping service platform is set up with users to independently and personalized screen and customize the required housekeeping companies according to requirements. In the next step S5, the types of orders placed by users and additional remarks are managed for order screening. Orders are screened into expedited orders, normal orders and appointment orders according to the order of type and housekeeping service time. User orders with additional special requirements are specially distinguished and dispatched, and the progress is displayed throughout the entire cycle from the user placing the order to the completion of the order, and multiple payment methods such as online payment are displayed after the order is placed.

6. A domestic service platform matching optimization method according to claim 6, characterized in that: In step S6, a transparent real-time monitoring window is established on the housekeeping service platform. When the housekeeping service is in progress, the staff will place the camera they carry in the user's home, so that the user can understand the housekeeping service status at any time and save images of the entire process of the housekeeping service, which can be viewed in special circumstances. The progress of the housekeeping service can be displayed according to the transparent monitoring window. After the housekeeping service is completed, the housekeeping platform can conduct acceptance through the transparent window, and then the user can conduct on-site acceptance, thereby meeting the acceptance standards of both parties.

7. A domestic service platform matching optimization method according to claim 6, characterized in that: In step S7, the current big data algorithm is used to perform regular scans on the entire housekeeping service platform to prevent loopholes in the housekeeping service platform, and a dynamic optimization model of user needs is built in time according to user information. The advantages of the optimization model are used to optimize the housekeeping service platform, and the service optimization work is completed for the defects of the housekeeping service platform according to user needs.

8. A domestic service platform matching optimization method according to claim 8, characterized in that: In step S8, a big data algorithm is used to establish an automatic log writing function in the housekeeping service platform, and the images taken by the transparent window are promptly logged. When an analysis anomaly occurs in the housekeeping service platform using the big data algorithm, the backstage personnel are promptly warned and the algorithm of the housekeeping service platform is optimized. Finally, in step S9, after the entire housekeeping service acceptance and dispatching is completed, the user information is logged in and hidden through an independent window of the housekeeping service platform, so as to facilitate users to comment on the pros and cons of this housekeeping service. At the same time, it is set that the housekeeping service personnel will give feedback on the process of this housekeeping service, so as to achieve information feedback from both parties, so as to facilitate the housekeeping service platform to conduct a two-way feedback comparison between users and housekeeping service companies, so as to classify the quality of housekeeping service companies.

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