AI chat-based appointment method and system for franchiser, and computer program

Abstract

The invention discloses an alliance agent reservation method based on AI chat. The method comprises the following steps: an alliance agent inputs a service demand in an AI chat window; based on a large language model technology, carrying out intelligent analysis on the business demands, and screening out business orders which can be reserved by franchise merchants; displaying the service order which can be reserved by the alliance agent in an AI chat window; the franchiser selects a service order needing to be reserved; executing a reservation operation according to the business order reserved by the alliance agent; and displaying the related information of the business order reserved by the franchise on a user interface. According to the technical scheme provided by the invention, by introducing an advanced AI chat technology, natural and efficient interaction between the franchise and the AI application is realized, so that the appointment process is greatly simplified, and the user experience and the service efficiency are improved; according to the invention, the user carries out operations such as order inquiry, appointment entrusting and inquiry issuing in an AI chat mode, tedious clicking and form filling are not needed, communication with the AI application is directly carried out in a natural language, and the operation convenience and the user experience are greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a franchisee reservation method, system and computer program based on AI chat. Background Art

[0002] With the rapid development of information technology, especially the widespread application of artificial intelligence (AI) technology, the business service field is undergoing unprecedented changes. In the franchise and franchise system, the communication and collaboration efficiency between franchisees and the headquarters is directly related to the smooth operation of the business and customer satisfaction. At present, the traditional franchise reservation service widely used in the market mainly relies on WEB page operation. Although this model has realized the digitization of the reservation process to a certain extent, it still has the following inconveniences and limitations:

[0003] (1) Complicated operation: The traditional web page reservation method requires franchisees to jump between multiple pages and fill in a large amount of form information, such as contact information, service requirements, appointment time, etc. The steps are numerous and prone to errors, which greatly reduces operational efficiency and user experience.

[0004] (2) Lack of timeliness: Web reservation systems often lack an instant feedback mechanism. After submitting a reservation request, franchisees have to wait a long time before receiving confirmation information or further communication arrangements, which to some extent affects the response speed and flexibility of the service.

[0005] (3) Lack of interactivity: Traditional WEB reservations are mainly based on one-way form filling, lacking real-time interaction with users and unable to provide personalized suggestions or answer questions immediately based on users’ specific needs. This results in a relatively rigid user experience and is difficult to meet the growing personalized service needs of franchisees.

[0006] (4) Low level of intelligence: Although some systems have attempted to integrate automated functions, overall, existing technical solutions still have much room for improvement in terms of intelligent processing of appointment requests, automatic matching of service resources, and optimization of appointment processes, making it difficult to fully tap the potential of AI technology. Summary of the invention

[0007] In view of the above-mentioned deficiencies in the current technology, the present invention provides a franchisee reservation method based on AI chat, which enables franchisees to perform quick and convenient reservation services by applying AI chat and natural language processing technology.

[0008] To achieve the above object, the embodiments of the present invention adopt the following technical solutions:

[0009] A franchisee reservation method based on AI chat, comprising the following steps:

[0010] Franchisees enter their business needs in the AI ​​chat window;

[0011] Intelligently analyze business needs based on large language model technology to filter out business orders that franchisees can book;

[0012] Display the business orders that franchisees can book in the AI ​​chat window;

[0013] The franchisee selects the business order that needs to be booked;

[0014] Execute reservation operations according to the business orders reserved by franchisees;

[0015] The relevant information of the business orders booked by the franchisees will be displayed on the user interface.

[0016] According to one aspect of the present invention, the business demand includes: entrusting platform transportation.

[0017] According to one aspect of the present invention, the intelligent analysis of business requirements based on the large language model technology to screen out business orders that can be booked by franchisees includes:

[0018] Use natural language processing technology to accurately capture and deeply understand user intentions;

[0019] Use a large language model to match content and obtain matching results;

[0020] Based on the matching results and combined with the pre-entered address information, business orders that are closely related to business needs are intelligently screened out.

[0021] According to one aspect of the present invention, the franchisee selects a business order that needs to be booked, including:

[0022] Franchisees operate through the AI ​​chat window and select the business orders that need to be booked;

[0023] Get the business order number of the franchisee's reservation.

[0024] According to one aspect of the present invention, executing the reservation operation according to the business order reserved by the franchisee includes:

[0025] According to the business order number of the franchisee's reservation, call the reservation interface of the fourth-party logistics system backend to execute the reservation operation.

[0026] According to one aspect of the present invention, the franchisee reservation method based on AI chat also includes:

[0027] Franchisees can check their orders in the AI ​​chat window.

[0028] According to one aspect of the present invention, the franchisee can query the order in the AI ​​chat window including:

[0029] The franchisee enters the query conditions in the AI ​​chat window;

[0030] Parse query conditions based on large language model technology and filter out corresponding orders;

[0031] Display order-related information in the AI ​​chat window.

[0032] According to one aspect of the present invention, the franchisee reservation method based on AI chat also includes:

[0033] Can handle multiple franchisee reservation requests at the same time.

[0034] A franchisee reservation system based on AI chat, based on the franchisee reservation method based on AI chat as described above, comprises:

[0035] User interface, including an AI chat window, for franchisees to input business requirements, display business orders that franchisees can book, franchisees to select business orders that need to be booked, and display information related to business orders booked by franchisees;

[0036] The parsing module is used to intelligently parse business needs based on large language model technology and filter out business orders that franchisees can book;

[0037] The reservation module is used to execute reservation operations based on the business orders reserved by franchisees.

[0038] A computer program, which, when executed, implements the steps of the franchisee reservation method based on AI chat as described above.

[0039] Advantages of the present invention:

[0040] The present invention provides a franchisee reservation method based on AI chat, which realizes natural and efficient interaction between franchisees and AI applications by introducing advanced AI chat technology, thereby greatly simplifying the reservation process and improving user experience and service efficiency. Users can perform operations such as checking orders, entrusting reservations, and issuing inquiries through AI chat, without the need for tedious clicks and form filling, and can directly communicate with AI applications in natural language, which greatly improves the convenience of operation and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1This is a flow chart of a franchisee reservation method based on AI chat according to the present invention;

[0043] Figure 2 This is a flow chart of the user entrusting the platform for transportation according to the present invention;

[0044] Figure 3 The present invention is a flowchart of the user query process. DETAILED DESCRIPTION

[0045] 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.

[0046] Embodiment 1

[0047] like Figure 1 As shown, a franchisee reservation method based on AI chat includes the following steps:

[0048] S1: Franchisees enter their business requirements in the AI ​​chat window.

[0049] The business needs include: entrusting platform transportation.

[0050] In actual applications, the business needs that users can book include entrusted platform transportation, headquarters procurement, headquarters technical guidance, headquarters business training and other services.

[0051] In actual application, users can input detailed transportation requirements into the AI ​​application chat window.

[0052] S2: Intelligently analyze business needs based on large language model technology and filter out business orders that franchisees can book.

[0053] Step S2 includes:

[0054] S21: Use natural language processing technology to accurately capture and deeply understand user intent.

[0055] S22: Use the large language model to perform content matching to obtain matching results.

[0056] AI applications instantly leverage the power of natural language processing technology to accurately capture and deeply understand user intent, and then use advanced large language models to match content to ensure accuracy.

[0057] S23: Based on the matching results and combined with the pre-entered address information, business orders that are closely related to business needs are intelligently screened out.

[0058] Based on accurate matching results, the system identifies the address information that the user has entered in advance and intelligently selects the transportation options that are closely related to the user's specific needs and displays them to the user intuitively.

[0059] By entrusting appointments and other operations through AI chat, users do not need to go through the tedious clicks and form filling process. They can directly communicate with the AI ​​application in natural language, which greatly improves the convenience of operation and user experience.

[0060] AI applications can quickly understand user intentions and call the back-end service interface to process requests in real time. User requests can be responded to in a short time, greatly shortening user waiting time and improving work efficiency.

[0061] Based on large language models and map matching technology, AI applications can accurately understand user needs and intelligently recommend transportation options or reservable order documents that best meet user needs, enhancing the personalization and accuracy of services.

[0062] S3: Display the business orders that franchisees can book in the AI ​​chat window.

[0063] The backend interface is called efficiently to quickly retrieve and integrate the current order document information that can be booked. These key data are then seamlessly connected to the chat window of the AI ​​application for users to browse.

[0064] S4: Franchisees select business orders that require reservations.

[0065] Step S4 includes:

[0066] Franchisees operate through the AI ​​chat window and select the business orders that need to be booked;

[0067] Get the business order number of the franchisee's reservation.

[0068] In actual application, users only need to browse easily in the chat window to find and select the ideal bookable order document, which is simple and fast.

[0069] Users can simply operate through the chat window, select and send the document number to be booked to the AI ​​application to complete the initial submission of the appointment request.

[0070] S5: Execute the reservation operation according to the business order reserved by the franchisee.

[0071] Step S5 includes:

[0072] According to the business order number of the franchisee's reservation, call the reservation interface of the fourth-party logistics system backend to execute the reservation operation.

[0073] The AI ​​application quickly parses the order number information sent by the user, accurately calls the appointment interface on the back end of the fourth-party logistics (4PL) system, executes the appointment operation, and ensures a smooth process.

[0074] Once the response result of the appointment interface is generated, it will be immediately fed back to the AI ​​application to ensure the timeliness and accuracy of the information.

[0075] AI applications need to be seamlessly integrated with the company's backend 4PL system to obtain and update data by calling corresponding interfaces.

[0076] S6: Display the business order information booked by the franchisee on the user interface.

[0077] The AI ​​application displays the success status of the appointment, appointment details and any related information to the user in a clear and intuitive manner on the user interface, allowing the user to understand the appointment status at a glance.

[0078] Specifically, the specific process of users entrusting the platform to transport is as follows: Figure 2 shown.

[0079] In the past, if franchisees needed to make an appointment for a service, they had to log in to the WEB page, select the service type, fill in personal information, set the appointment time, and other steps in turn. The whole process may take several minutes or even longer. Now, through this method, franchisees only need to open the chat interface, for example, enter "I want to make an appointment for entrusted platform transportation", and AI can immediately identify the needs and ask for specific store information and inspection requirements. Then, after confirmation, the appointment process will be automatically completed. The whole process only requires a few conversations, which greatly improves the convenience of operation and service efficiency.

[0080] Preferably, the method further comprises:

[0081] Can handle multiple franchisee reservation requests at the same time.

[0082] Compared with traditional manual customer service, AI applications can handle multiple user requests at the same time, reducing labor costs while improving service efficiency and quality, helping companies reduce costs and improve competitiveness.

[0083] AI applications can be on standby around the clock and respond to user needs at any time, without being restricted by time and manpower, providing a more flexible and convenient service experience.

[0084] AI applications can intelligently understand user intentions, respond quickly and provide personalized service recommendations. They can even complete appointments within three conversations, greatly shortening operation time and improving communication efficiency.

[0085] The beneficial effect of this embodiment is that this method enables franchisees to make quick and convenient reservations by applying AI chat and natural language processing technology. Through the automated AI chat interface and background processing flow, errors and omissions caused by human operations are reduced, and the accuracy and reliability of data are improved. Using advanced AI technology to provide customer service can demonstrate the company's innovation ability and technical strength, and help enhance brand image and user loyalty.

[0086] Embodiment 2

[0087] like Figure 1 As shown, a franchisee reservation method based on AI chat includes the following steps:

[0088] S1: Franchisees enter their business requirements in the AI ​​chat window.

[0089] The business needs include: entrusting platform transportation.

[0090] In actual applications, the business needs that users can book include entrusted platform transportation, headquarters procurement, headquarters technical guidance, headquarters business training and other services.

[0091] In actual application, users can input detailed transportation requirements into the AI ​​application chat window.

[0092] S2: Intelligently analyze business needs based on large language model technology and filter out business orders that franchisees can book.

[0093] Step S2 includes:

[0094] S21: Use natural language processing technology to accurately capture and deeply understand user intent.

[0095] S22: Use the large language model to perform content matching to obtain matching results.

[0096] AI applications instantly leverage the power of natural language processing technology to accurately capture and deeply understand user intent, and then use advanced large language models to match content to ensure accuracy.

[0097] S23: Based on the matching results and combined with the pre-entered address information, business orders that are closely related to business needs are intelligently screened out.

[0098] Based on accurate matching results, the system identifies the address information that the user has entered in advance and intelligently selects the transportation options that are closely related to the user's specific needs and displays them to the user intuitively.

[0099] By entrusting appointments and other operations through AI chat, users do not need to go through the tedious clicks and form filling process. They can directly communicate with the AI ​​application in natural language, which greatly improves the convenience of operation and user experience.

[0100] AI applications can quickly understand user intentions and call the back-end service interface to process requests in real time. User requests can be responded to in a short time, greatly shortening user waiting time and improving work efficiency.

[0101] Based on large language models and map matching technology, AI applications can accurately understand user needs and intelligently recommend transportation options or reservable order documents that best meet user needs, enhancing the personalization and accuracy of services.

[0102] S3: Display the business orders that franchisees can book in the AI ​​chat window.

[0103] The backend interface is called efficiently to quickly retrieve and integrate the current order document information that can be booked. These key data are then seamlessly connected to the chat window of the AI ​​application for users to browse.

[0104] S4: Franchisees select business orders that require reservations.

[0105] Step S4 includes:

[0106] Franchisees operate through the AI ​​chat window and select the business orders that need to be booked;

[0107] Get the business order number of the franchisee's reservation.

[0108] In actual application, users only need to browse easily in the chat window to find and select the ideal bookable order document, which is simple and fast.

[0109] Users can simply operate through the chat window, select and send the document number to be booked to the AI ​​application to complete the initial submission of the appointment request.

[0110] S5: Execute the reservation operation according to the business order reserved by the franchisee.

[0111] Step S5 includes:

[0112] According to the business order number of the franchisee's reservation, call the reservation interface of the fourth-party logistics system backend to execute the reservation operation.

[0113] The AI ​​application quickly parses the order number information sent by the user, accurately calls the appointment interface on the back end of the fourth-party logistics (4PL) system, executes the appointment operation, and ensures a smooth process.

[0114] Once the response result of the appointment interface is generated, it will be immediately fed back to the AI ​​application to ensure the timeliness and accuracy of the information.

[0115] AI applications need to be seamlessly integrated with the company's backend 4PL system to obtain and update data by calling corresponding interfaces.

[0116] S6: Display the business order information booked by the franchisee on the user interface.

[0117] The AI ​​application displays the success status of the appointment, appointment details and any related information to the user in a clear and intuitive manner on the user interface, allowing the user to understand the appointment status at a glance.

[0118] Specifically, the specific process of users entrusting the platform to transport is as follows: Figure 2 shown.

[0119] In the past, if franchisees needed to make an appointment for a service, they had to log in to the WEB page, select the service type, fill in personal information, set the appointment time, and other steps in turn. The whole process may take several minutes or even longer. Now, through this method, franchisees only need to open the chat interface, for example, enter "I want to make an appointment for entrusted platform transportation", and AI can immediately identify the needs and ask for specific store information and inspection requirements. Then, after confirmation, the appointment process will be automatically completed. The whole process only requires a few conversations, which greatly improves the convenience of operation and service efficiency.

[0120] The method further comprises:

[0121] Franchisees can check their orders in the AI ​​chat window.

[0122] The franchisee can query the order in the AI ​​chat window including:

[0123] B1: The franchisee enters the query conditions in the AI ​​chat window.

[0124] Users can easily express their order query needs in text form through the intuitive AI chat interface.

[0125] B2: Analyze the query conditions based on the large language model technology and filter out the corresponding orders.

[0126] The AI ​​chat window receives query statements entered by users and parses them using natural language processing technology. The AI ​​application calls a large language model to accurately capture the user's query intent and automatically and efficiently extract the order number from the input to ensure the accuracy of the query.

[0127] Based on the analysis results, the AI ​​application calls the backend service and executes the corresponding query logic. The query logic may include database query, business rule verification, etc. The backend service interface responds quickly, performs in-depth processing on the query request, and then returns comprehensive and detailed order information to ensure the integrity and timeliness of the data.

[0128] B3: Display order-related information in the AI ​​chat window.

[0129] The query results are organized into a form that is easy for users to understand and displayed to users through the front-end interface. At the same time, necessary feedback and prompts are provided, such as successful query, no results, error prompts, etc.

[0130] In actual applications, the acquired order information data is instantly and securely transmitted back to the AI ​​application. The AI ​​application uses its intelligent characteristics to present complex order information in a clear and easy-to-read manner in the chat window, allowing users to easily understand the order details at a glance.

[0131] Specifically, the specific process of user query is as follows: Figure 3 shown.

[0132] Preferably, the method further comprises:

[0133] Can handle multiple franchisee reservation requests at the same time.

[0134] Compared with traditional manual customer service, AI applications can handle multiple user requests at the same time, reducing labor costs while improving service efficiency and quality, helping companies reduce costs and improve competitiveness.

[0135] AI applications can be on standby around the clock and respond to user needs at any time, without being restricted by time and manpower, providing a more flexible and convenient service experience.

[0136] AI applications can intelligently understand user intentions, respond quickly and provide personalized service recommendations. They can even complete appointments within three conversations, greatly shortening operation time and improving communication efficiency.

[0137] Based on user needs and system data, AI applications should be able to accurately match and recommend order query results that best meet user needs, and entrust the platform with transportation reservation services.

[0138] Preferably, the method further comprises:

[0139] The AI ​​chat interface should be concise and clear, easy for users to operate.

[0140] Establish a user feedback mechanism to continuously optimize the performance and functions of AI applications based on user feedback.

[0141] The beneficial effect of this embodiment is that in this method, users can check orders, entrust appointments, and issue inquiries through AI chat, without the need for tedious clicks and form filling, and can directly communicate with the AI ​​application in natural language, which greatly improves the convenience of operation and user experience.

[0142] Embodiment 3

[0143] A franchisee reservation system based on AI chat, based on the franchisee reservation method based on AI chat as described in Embodiment 1 or 2, comprising:

[0144] User interface, including an AI chat window, for franchisees to input business requirements, display business orders that franchisees can book, franchisees to select business orders that need to be booked, and display information related to business orders booked by franchisees;

[0145] The parsing module is used to intelligently parse business needs based on large language model technology and filter out business orders that franchisees can book;

[0146] The reservation module is used to execute reservation operations based on the business orders reserved by franchisees.

[0147] Preferably, the system further includes:

[0148] The user interface can also be used by franchisees to input query conditions and display order-related information;

[0149] The parsing module can also be used to parse query conditions based on large language model technology and filter out corresponding orders.

[0150] Preferably, the system further includes:

[0151] Backend services provide database services, business logic services, etc., which are used to store order data, process business logic, etc.

[0152] Embodiment 4

[0153] A computer program, which, when executed, implements the steps of the franchisee reservation method based on AI chat as described in Embodiment 1 or 2.

[0154] Embodiment 5

[0155] A readable storage medium having stored thereon a computer program as described in Example 4, wherein when the computer program is executed, the steps of the franchisee reservation method based on AI chat as described in Example 1 or 2 are implemented.

[0156] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the art within the technical scope disclosed in the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A franchisee reservation method based on AI chat, characterized in that: The following steps are involved: Franchisees enter their business needs in the AI ​​chat window; Intelligently analyze business needs based on large language model technology to filter out business orders that franchisees can book; Display the business orders that franchisees can book in the AI ​​chat window; The franchisee selects the business order that needs to be booked; Execute reservation operations according to the business orders reserved by franchisees; The relevant information of the business orders booked by the franchisees will be displayed on the user interface.

2. The franchisee reservation method based on AI chat according to claim 1, characterized in that: The business needs include: entrusting platform transportation.

3. The franchisee reservation method based on AI chat according to claim 1, characterized in that: The intelligent analysis of business needs based on the large language model technology to screen out the business orders that franchisees can book include: Use natural language processing technology to accurately capture and deeply understand user intentions; Use a large language model to match content and obtain matching results; Based on the matching results and combined with the pre-entered address information, business orders that are closely related to business needs are intelligently screened out.

4. The franchisee reservation method based on AI chat according to claim 1, characterized in that: The franchisee selects the business orders that require reservations, including: Franchisees operate through the AI ​​chat window and select the business orders that need to be booked; Get the business order number of the franchisee's reservation.

5. The franchisee reservation method based on AI chat according to claim 4 is characterized in that: The execution of the reservation operation according to the business order reserved by the franchisee includes: According to the business order number of the franchisee's reservation, call the reservation interface of the fourth-party logistics system backend to execute the reservation operation.

6. The franchisee reservation method based on AI chat according to claim 1, characterized in that: The franchisee reservation method based on AI chat also includes: Franchisees can check their orders in the AI ​​chat window.

7. The franchisee reservation method based on AI chat according to claim 6, characterized in that: The franchisee can query the order in the AI ​​chat window including: The franchisee enters the query conditions in the AI ​​chat window; Parse query conditions based on large language model technology and filter out corresponding orders; Display order-related information in the AI ​​chat window.

8. The franchisee reservation method based on AI chat according to claim 1, characterized in that: The franchisee reservation method based on AI chat also includes: Can handle multiple franchisee reservation requests at the same time.

9. A franchisee reservation system based on AI chat, characterized in that: The franchisee reservation method based on AI chat according to any one of claims 1 to 8 comprises: User interface, including an AI chat window, for franchisees to input business requirements, display business orders that franchisees can book, franchisees to select business orders that need to be booked, and display information related to business orders booked by franchisees; The parsing module is used to intelligently parse business needs based on large language model technology and filter out business orders that franchisees can book; The reservation module is used to execute reservation operations based on the business orders reserved by franchisees.

10. A computer program, characterized in that When the computer program is executed, the steps of the franchisee reservation method based on AI chat are implemented as described in any one of claims 1 to 8.

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