Intelligent order placing method, system and device based on voice password and medium

Abstract

The invention relates to an intelligent ordering method, system and device based on a voice password and a medium, and the method comprises the steps: obtaining a free sentence type voice password of a user through a user terminal; based on the free sentence pattern voice password and at least one of the current time, the current location of the user and the historical consumption behavior, pre-ordering information of the user is obtained through analysis; and generating corresponding order information through a multi-level exception negotiation mechanism based on the order pre-placing information, and receiving confirmation of the order information by the user to complete order placing. Through the method and the device, intelligent ordering based on the free sentence type voice password is realized without depending on a fixed preset template, changeable ordering demands of a user can be dynamically processed, smooth promotion of ordering of the user is further guaranteed by using a multi-level exception negotiation mechanism in the ordering process, the use experience of the user is greatly improved, and the user experience is improved. The problem of how to improve the intelligent degree of voice password ordering is solved.

Description

Technical Field

[0001] This application relates to the field of human-computer interaction technology, and in particular to a method, system, device and medium for intelligent order placement based on voice commands. Background Technology

[0002] Traditional voice command ordering typically relies on preset templates, such as: product brand + product type + product specifications + store of sale. These templates are fixed, and if any element in the template is missing, the order cannot be completed. Even worse, if the order of the elements is mixed up, the order cannot be completed. It is clear that the traditional voice command ordering mode is fixed and cannot dynamically handle the ever-changing ordering needs of users, resulting in a poor user experience.

[0003] Currently, no effective solution has been proposed for improving the intelligence level of voice command ordering in related technologies. Summary of the Invention

[0004] This application provides a method, system, device, and medium for intelligent order placement based on voice commands, in order to at least address the problem of how to improve the intelligence level of voice command order placement in related technologies.

[0005] In a first aspect, embodiments of this application provide a smart order placement method based on voice commands, the method comprising:

[0006] Obtain the user's free-form voice commands through the user terminal;

[0007] Based on the free-form voice command, and at least one of the following: current time, current location of the user, and historical consumption behavior, the user's pre-order information is analyzed and obtained.

[0008] Based on the pre-order information, corresponding order information is generated through a multi-level exception negotiation mechanism, and the user's confirmation of the order information is received to complete the order.

[0009] In some embodiments, based on the free-form voice command, and at least one of the current time, the user's current location, and historical consumption behavior, the user's pre-order information is analyzed and derived, including:

[0010] Based on the free-form voice command, the current time, and the user's historical consumption behavior, the pre-order information of the user is analyzed to obtain the order product information and store preference information, wherein the order product information includes product brand information, product type information, and product specification information.

[0011] In some embodiments, based on the free-form voice command, and at least one of the current time, the user's current location, and historical consumption behavior, the user's pre-order information is analyzed, including:

[0012] After deriving the ordered product information and store preference information based on the free-form voice command, the current time, and the user's historical consumption behavior:

[0013] Based on the user's current location, the ordered product information, and the store preference information, the order store information in the user's pre-order information is determined.

[0014] In some embodiments, generating corresponding order information based on the pre-order information through a multi-level anomaly negotiation mechanism includes:

[0015] First, the ordering store information in the pre-order information is verified through a multi-level anomaly negotiation mechanism. If the corresponding ordering store is not open, the system switches to the nearest similar store and reminds the user to confirm.

[0016] The product category information in the pre-order information is then verified through the multi-level exception negotiation mechanism. If the store confirmed by the user does not have the specified product category, then similar products from the store are recommended to the user.

[0017] If a user does not accept the change of store or the recommendation of products, the user will be transferred to a human customer service representative through the multi-level exception negotiation mechanism.

[0018] In some embodiments, the method includes:

[0019] If the user does not have a history of consumption behavior, first analyze whether the ordered product information in the user's pre-order information can be obtained based on the free sentence voice command;

[0020] If not, then recommend products that match the free-form voice command to the user to obtain the order product information in the pre-order information. Based directly on the user's current location and the order product information, determine the order store information in the pre-order information, and generate the user's historical consumption behavior after the user's order is completed.

[0021] In some embodiments, the method includes:

[0022] Based on the free-form voice command, the user's emotional intent is recognized to obtain the remarks information in the user's pre-order information, wherein the remarks information reflects the user's personalized needs.

[0023] In some embodiments, the method further includes:

[0024] Based on the user's current order completion status, periodic personal order reports are generated in real time.

[0025] Secondly, embodiments of this application provide an intelligent ordering system based on voice commands. The system is used to execute the method described in the first aspect above. The system includes a voice command acquisition module, a data analysis module, and an order generation module.

[0026] The password acquisition module is used to acquire the user's free-form voice password through the user terminal;

[0027] The password collection module is used to analyze and obtain the user's pre-order information based on the free-form voice password, the current time, the user's current location, and historical consumption behavior.

[0028] The order generation module is used to generate corresponding order information based on the pre-order information through a multi-level exception negotiation mechanism, and to receive confirmation from the user of the order information to complete the order.

[0029] Thirdly, embodiments of this application provide an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in the first aspect above.

[0030] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect above.

[0031] Compared to related technologies, this application provides a method, system, device, and medium for intelligent ordering based on voice commands. The method obtains a user's free-form voice command through a user terminal; based on the free-form voice command, and at least one of the current time, the user's current location, and historical consumption behavior, it analyzes and derives the user's pre-order information; based on the pre-order information, it generates corresponding order information through a multi-level anomaly negotiation mechanism, and receives the user's confirmation of the order information to complete the order. This achieves intelligent ordering based on free-form voice commands without relying on fixed preset templates, dynamically handling users' changing order needs. Furthermore, the multi-level anomaly negotiation mechanism further ensures the smooth progress of the order process, greatly improving the user experience and solving the problem of how to improve the intelligence level of voice command ordering. Attached Figure Description

[0032] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0033] Figure 1 This is a flowchart of the steps of the intelligent order placement method based on voice command according to an embodiment of this application;

[0034] Figure 2 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0036] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0037] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0038] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0039] This application provides an intelligent order placement method based on voice commands. Figure 1 This is a flowchart illustrating the steps of a voice-command-based intelligent order placement method according to an embodiment of this application, as follows: Figure 1 As shown, the method includes the following steps:

[0040] Step S102: Obtain the user's free-form voice command through a user terminal, wherein the user terminal can be a smartphone, tablet, smartwatch, smart glasses, etc.

[0041] Step S104: Based on the free-form voice command, and at least one of the following: current time, user's current location, and historical consumption behavior, analyze and obtain the user's pre-order information;

[0042] Step S104 specifically includes the following steps:

[0043] Step S1041: Based on the free-form voice command, the current time, and the user's historical consumption behavior, analyze and obtain the order product information and store preference information in the user's pre-order information. The order product information includes product brand information, product category information, and product specification information.

[0044] For example, if a user's historical consumption behavior is: multiple times (e.g., 3 times or more) on weekday afternoons, ordering a large hot oat latte from store B of brand A, then when the current time for obtaining the free-sentence voice command in step S102 is a weekday afternoon, and the free-sentence voice command is: "I want to drink something", "It's afternoon", "Order oat latte", etc., the pre-order information will be automatically generated, including the ordered product information (brand A, oat latte, large hot) and store preference information (store B).

[0045] It should be noted that in step S1041, the free-form voice command and the current time obtained from the command are used to associate them with the user's corresponding historical consumption behavior. By combining the three, the order product information and store preference information in the pre-order information can be obtained. This realizes intelligent ordering with free-form voice commands, without relying on fixed preset templates. It can dynamically handle the user's changing ordering needs and effectively improve the user experience.

[0046] Optionally, step S1041 can also set a simple fixed voice command (such as "It's Friday") to associate and map with product brand information, product category information, product specification information, and store preference information. When the fixed voice command is obtained, these associated mapping information are automatically obtained, and the order product information and store preference information in the pre-order information are obtained. It can be seen that although this optional method relies on fixed voice commands, it is undoubtedly much simpler than the complex fixed templates in the existing solutions.

[0047] After obtaining the ordered product information and store preference information in step S1041:

[0048] Step S1042: Based on the user's current location, ordered product information, and store preference information, determine the ordering store information in the user's pre-order information.

[0049] It should be noted that the store preference information may not be available in step S1041 above (e.g., the user has no historical consumption behavior, or the fixed voice command is not associated with the store preference information). In this case, step S1042 can select the nearest store for the user based on the user's current location and the order information, so as to determine the order store information in the user's pre-order information.

[0050] The method may further include step S105, which involves recognizing the user's emotional intent based on free-form voice commands to obtain the remarks information in the user's pre-order information, wherein the remarks information reflects the user's personalized needs.

[0051] For example, by using voice emotion analysis technology to identify the user's emotional intent (busy, happy, anxious, etc.), if the user's free-form voice command is urgent and contains phrases like "hurry up" or "I'm in a hurry," corresponding notes can be generated to remind store staff to process the user's order as quickly or promptly as possible. This further improves the intelligence of voice command ordering, optimizing the user experience without the user even noticing.

[0052] Step S106: Based on the pre-order information, generate the corresponding order information through a multi-level exception negotiation mechanism, and receive the user's confirmation of the order information to complete the order.

[0053] Step S106 specifically includes the following steps:

[0054] Step S1061: First, the ordering store information in the pre-order information is verified through a multi-level exception negotiation mechanism. If the corresponding ordering store is not open, the ordering store is switched to the nearest similar store and the user is reminded to confirm.

[0055] For example, if the store information for the order corresponds to store B, but store B is temporarily closed, but the product is not removed from the shelves, the system will automatically switch to the nearest similar store C and negotiate the order with the user.

[0056] Step S1062: Then, the product type information in the pre-order information is verified through a multi-level exception negotiation mechanism. If the store confirmed by the user does not have the specified product type, then the user is recommended similar products in the store.

[0057] For example, if the product category information corresponds to oat latte, but oat latte is no longer available, then similar dishes such as latte and oat vanilla latte will be recommended to the user.

[0058] Step S1063: If the user does not accept the switch of stores or the recommendation of products, the user is transferred to human customer service for processing through a multi-level exception negotiation mechanism.

[0059] Step S1064: After the multi-level exception negotiation mechanism in steps S1061 to S1063 is processed, the final order information is generated, and the order is completed after the user confirms and pays for the order information.

[0060] Through the steps described in this application embodiment, intelligent ordering based on free-form voice commands is realized without relying on fixed preset templates. It can dynamically handle users' changing ordering needs and further ensure the smooth progress of user ordering by utilizing a multi-level exception negotiation mechanism during the ordering process, greatly improving the user experience and solving the problem of how to improve the intelligence level of voice command ordering.

[0061] In some of the specific embodiments, for the above-mentioned step S104, if the user has no historical consumption behavior (such as a new user), the intelligent order placement method based on voice commands further includes the following steps:

[0062] Step S201, in the case where the user does not have historical consumption behavior, first analyze whether the order placement product information in the user's pre-order information can be obtained based on the free-form voice command;

[0063] It should be noted by way of example that if the free-form voice command contains content such as "Brand A", "Store B", "Large cup of hot oat latte", etc., the order placement product information in the pre-order information can be directly determined.

[0064] Step S202, if not, then recommend products that match the free-form voice command to the user to obtain the order placement product information in the pre-order information, directly determine the order placement store information in the pre-order information based on the user's current location and the order placement product information, and generate the user's historical consumption behavior after the user's order is completed.

[0065] It should be noted by way of example that if the free-form voice command only contains content such as "thirsty" and "want to drink coffee", specific beverages in the coffee shop can be recommended to the user. After the user selects and confirms, the order placement product information is obtained. The order placement store information is directly determined based on the user's current location and the order placement product information, and the user's historical consumption behavior is generated after the user's order is completed, effectively improving the intelligence level of voice command order placement.

[0066] In some of the specific embodiments, the intelligent order placement method based on voice commands further includes: generating a periodic personal order report in real time based on the user's current product order completion situation, for example: "Your Wednesday healing milk tea has been delivered! Sugar intake has decreased by 20% compared to the same period last week."

[0067] In some of the specific embodiments, the intelligent order placement method based on voice commands further includes:

[0068] ① Personal vocabulary building: Extract high-frequency words (such as "want to drink", "order one", etc.) in the user's historical instructions as seed words for generating commands to ensure the consistency of language style.

[0069] ② Dialect / slang compatibility: Support the automatic standardization of dialect commands such as Cantonese "place an order" and Northeast dialect "get one" into commands that can be parsed by the platform.

[0070] It should be noted that the steps shown in the above process or the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from here.

[0071] This application provides an intelligent ordering system based on voice commands. The system is used to execute the method described in the first aspect above. The system includes a voice command acquisition module, a data analysis module, and an order generation module.

[0072] The password acquisition module is used to acquire users' free-form voice passwords through user terminals;

[0073] The password collection module is used to analyze and obtain the user's pre-order information based on free-form voice passwords, as well as at least one of the following: current time, user's current location, and historical consumption behavior.

[0074] The order generation module is used to generate corresponding order information based on the pre-order information through a multi-level exception negotiation mechanism, and to receive the user's confirmation of the order information to complete the order.

[0075] Through the password collection module, data analysis module, and order generation module in this application embodiment, intelligent order placement based on free-form voice commands is realized without relying on fixed preset templates. It can dynamically handle users' changing order placement needs and further ensure the smooth progress of user order placement by using a multi-level exception negotiation mechanism during the order placement process, greatly improving the user experience and solving the problem of how to improve the intelligence level of voice command order placement.

[0076] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0077] This embodiment provides an electronic device including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0078] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0079] Optionally, the electronic device may further include a processor, memory, network interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a voice command-based intelligent order placement method. The display screen may be an LCD screen or an e-ink screen. The input device may be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device's casing, or an external keyboard, touchpad, or mouse.

[0080] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0081] Furthermore, in conjunction with the voice-command-based intelligent order placement method in the above embodiments, this application embodiment can provide a storage medium for implementation. The storage medium stores a computer program; when executed by a processor, the computer program implements any of the voice-command-based intelligent order placement methods in the above embodiments.

[0082] In one embodiment, Figure 2 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application, such as... Figure 2 As shown, an electronic device is provided, which can be a server, and its internal structure diagram can be as follows. Figure 2 As shown, the electronic device includes a processor, a network interface, internal memory, and non-volatile memory connected via an internal bus. The non-volatile memory stores the operating system, computer programs, and a database. The processor provides computing and control capabilities, the network interface communicates with external terminals via a network, the internal memory provides an environment for the operating system and computer programs to run, the computer programs are executed by the processor to implement a voice command-based intelligent order placement method, and the database stores data.

[0083] Those skilled in the art will understand that Figure 2 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. A specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0084] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0085] Those skilled in the art should understand that the technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments have been described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0086] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A smart order placement method based on voice commands, characterized in that, The method includes: Obtain the user's free-form voice commands through the user terminal; Based on the free-form voice command, and at least one of the following: current time, current location of the user, and historical consumption behavior, the user's pre-order information is analyzed and obtained. Based on the pre-order information, corresponding order information is generated through a multi-level exception negotiation mechanism, and the user's confirmation of the order information is received to complete the order.

2. The method according to claim 1, characterized in that, Based on the free-form voice command, and at least one of the following: current time, current location, and historical consumption behavior, the user's pre-order information is analyzed and derived, including: Based on the free-form voice command, the current time, and the user's historical consumption behavior, the pre-order information of the user is analyzed to obtain the order product information and store preference information, wherein the order product information includes product brand information, product category information, and product specification information.

3. The method according to claim 2, characterized in that, Based on the free-form voice command, and at least one of the following: current time, current location, and historical consumption behavior, the user's pre-order information is analyzed and derived, including: After deriving the ordered product information and store preference information based on the free-form voice command, the current time, and the user's historical consumption behavior: Based on the user's current location, the ordered product information, and the store preference information, the order store information in the user's pre-order information is determined.

4. The method according to claim 3, characterized in that, Based on the pre-order information, the corresponding order information is generated through a multi-level exception negotiation mechanism, including: First, the ordering store information in the pre-order information is verified through a multi-level anomaly negotiation mechanism. If the corresponding ordering store is not open, the system switches to the nearest similar store and reminds the user to confirm. The product category information in the pre-order information is then verified through the multi-level exception negotiation mechanism. If the store confirmed by the user does not have the specified product category, then similar products from the store are recommended to the user. If a user does not accept the change of store or the recommendation of products, the user will be transferred to a human customer service representative through the multi-level exception negotiation mechanism.

5. The method according to claim 2, characterized in that, The method includes: If the user does not have a history of consumption behavior, first analyze whether the ordered product information in the user's pre-order information can be obtained based on the free sentence voice command; If not, then recommend products that match the free-form voice command to the user to obtain the order product information in the pre-order information. Based directly on the user's current location and the order product information, determine the order store information in the pre-order information, and generate the user's historical consumption behavior after the user's order is completed.

6. The method according to claim 1, characterized in that, The method includes: Based on the free-form voice command, the user's emotional intent is recognized to obtain the remarks information in the user's pre-order information, wherein the remarks information reflects the user's personalized needs.

7. The method according to claim 1, characterized in that, The method further includes: Based on the user's current order completion status, periodic personal order reports are generated in real time.

8. A smart ordering system based on voice commands, characterized in that, The system is used to perform the method according to any one of claims 1 to 7, and the system includes a password collection module, a data analysis module, and an order generation module; The password acquisition module is used to acquire the user's free-form voice password through the user terminal; The password collection module is used to analyze and obtain the user's pre-order information based on the free-form voice password, the current time, the user's current location, and historical consumption behavior. The order generation module is used to generate corresponding order information based on the pre-order information through a multi-level exception negotiation mechanism, and to receive confirmation from the user of the order information to complete the order.

9. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 7.

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