Unmanned vehicle retail transaction method and system based on AI intelligent agent

Abstract

The invention discloses an unmanned vehicle retail transaction method and system based on an AI intelligent agent, and relates to the technical field of unmanned vehicle retail, and the method comprises the following steps: an on-site purchase user sends voice information containing a commodity purchase intention and a remote payment help seeking object contact identifier to an unmanned vending vehicle through a voice interaction mode; a voice interaction module of the self-service vending vehicle receives the voice information and converts the voice information into text information, and an AI agent module extracts an effective commodity purchase intention from the text information and obtains price information of a corresponding commodity from a self-service vending cabinet module according to the commodity purchase intention; extracting a contact identifier of the remote payment help seeking object from the character information, and initiating a communication connection request with a remote payer based on the contact identifier; forwarding the payment request to the remote payer, and obtaining a payment completion result from the cloud payment platform; the method has the effect of expanding the service coverage range of unmanned vehicle retail.

Description

A method and system for unmanned vehicle retail transactions based on AI intelligent agents Technical Field

[0001] This invention relates to the field of unmanned vehicle retail technology, and more specifically, to an unmanned vehicle retail transaction method and system based on an AI intelligent agent. Background Technology

[0002] Currently, unmanned vending carts or devices generally rely on users to complete mobile payment independently on-site. However, in real-world scenarios, there are many people who cannot independently complete mobile payments. For example, children may not have their phones when traveling, elderly users may be unfamiliar with the mobile payment process, or tourists may encounter situations where their phones are out of battery or malfunctioning. The immediate shopping needs of these users are often difficult to meet by existing unmanned retail models, resulting in limited service coverage for unmanned vending carts. The transaction chain of existing unmanned vending carts is relatively simple, and the coordination between modules relies heavily on fixed program instructions, lacking intelligent intent understanding and flexible interaction capabilities, thus making it difficult to adapt to complex on-site needs. Summary of the Invention

[0003] To address the shortcomings of existing technologies, the present invention aims to provide a method and system for unmanned vehicle retail transactions based on AI intelligent agents.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for unmanned vehicle retail transactions based on an AI agent, comprising the following steps: On-site purchasing users send voice messages containing their purchase intention and the contact identifier of a remote payment assistance recipient to the unmanned vending vehicle via voice interaction; the voice interaction module of the unmanned vending vehicle receives the voice messages and converts them into text messages; the AI ​​agent module extracts the valid purchase intention from the text messages and obtains the price information of the corresponding product from the unmanned vending machine module based on the purchase intention; the contact identifier of the remote payment assistance recipient is extracted from the text messages, and a communication connection request is initiated with the remote payer based on the contact identifier; after establishing a communication connection with the remote payer, the on-site purchasing user and the remote payer negotiate via voice to confirm the purchase intention and price information of the target product; based on the negotiation confirmation result, payment information for the corresponding target product is requested; the payment information is sent to the mobile terminal held by the remote payer via a wireless communication module; after the remote payer completes the payment operation on their mobile terminal, the payment module obtains the payment result from the cloud payment platform and notifies the AI ​​agent; after receiving the payment success confirmation information, the AI ​​agent causes the unmanned vending machine module to provide the on-site purchasing user with the target product they wish to purchase.

[0005] Preferably, the unmanned vending vehicle automatically travels in public places according to a predetermined route or a route dynamically planned based on a real-time crowd heat map.

[0006] Preferably, the AI ​​agent module includes a large language model, a toolset, and a main control unit; the large language model is used for semantic understanding, intent recognition, intent extraction, and intent reasoning of text information; the toolset is used to enable the AI ​​agent module to interact with the vending machine module, the wireless communication module, and the mobile payment module; the main control unit is used to control the information reception, internal reasoning, and action execution loop of the AI ​​agent module.

[0007] Preferably, the contact identifier of the remote payment assistance recipient includes a telephone number, a social network account, or an identifier that arrives remotely via signal.

[0008] Preferably, the payment information is one of the following: a payment QR code, a payment URL, or other payment verification methods.

[0009] Preferably, the real-time crowd heat map is obtained through at least one of the following methods: based on the crowd heat map query service interface provided by the mobile operator or through intelligent sensing data from intersection cameras.

[0010] Preferably, the interaction between the toolset and the vending machine module specifically includes: querying product inventory and price information; and triggering the drive mechanism of the vending machine module after receiving a payment success instruction to complete the dispensing of the specified product.

[0011] Preferably, the interaction between the toolset and the wireless communication module specifically includes: calling the communication interface, initiating a voice call or data communication request based on the remote payer's contact identifier, and maintaining the communication link until the payment confirmation process ends.

[0012] Preferably, the interaction between the toolset and the mobile payment module specifically includes: sending a payment request containing the product amount and order number to the mobile payment module, receiving the payment voucher generated by the mobile payment module, forwarding it to the remote payer to complete the payment, and continuously querying the payment status until success or failure.

[0013] An AI-based unmanned vehicle retail transaction system includes: an information sending module: on-site customers send voice messages containing their purchase intention and the contact identifier of a remote payment assistance recipient to the unmanned vending vehicle via voice interaction; an extraction module: the voice interaction module of the unmanned vending vehicle receives the voice messages and converts them into text messages; the AI ​​agent module extracts the valid purchase intention from the text messages and retrieves the price information of the corresponding product from the unmanned vending machine module based on the purchase intention; a confirmation module: extracts the contact identifier of the remote payment assistance recipient from the text messages and initiates a communication connection request with the remote payer based on the contact identifier; after establishing a communication connection with the remote payer, the on-site customer and the remote payer negotiate via voice to confirm the purchase intention and price information of the target product; an application module: based on the negotiation confirmation result, applies for payment information for the corresponding target product; the payment information is sent to the mobile terminal held by the remote payer via a wireless communication module; a payment module: after the remote payer completes the payment operation on their mobile terminal, the payment module queries and retrieves the payment result from the cloud payment platform; and a delivery module: upon receiving confirmation of successful payment, the unmanned vending machine module provides the target product that the on-site customer desired to purchase.

[0014] Compared with existing technologies, this invention has the following beneficial effects: It improves the convenience of on-site shopping for users. For those who cannot easily complete mobile payments independently, such as children without mobile phones, elderly people unfamiliar with smart devices, or users experiencing temporary device malfunctions, they can simply express their purchase needs to the unmanned vending vehicle via voice interaction and provide the contact information of the remote payer to complete the purchase without complicated operations, allowing these special groups to conveniently obtain the goods they need. The entire process, from the user initiating a request to the completion of delivery, is automatically driven by the AI ​​intelligent agent module in coordination with various other modules: the voice interaction module quickly completes information conversion, the AI ​​intelligent agent extracts the needs and links with the vending machine to query information, the wireless communication module stably maintains the communication link, and the payment process can also synchronize its status in real time. This series of automated operations reduces the need for human intervention, making the transaction process smoother and improving the user experience of completing shopping in a short time. This transaction method expands the service coverage of unmanned vehicle retail. Attached Figure Description

[0015] Figure 1 is a schematic diagram of the steps of an AI-based unmanned vehicle retail transaction method proposed in this invention; Figure 2 is a schematic diagram of the modules of an AI-based unmanned vehicle retail transaction system proposed in this invention. Detailed Implementation

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0017] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0018] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0019] Refer to Figures 1 and 2.

[0020] The embodiments further illustrate the unmanned vehicle retail transaction method and system based on AI intelligent agents proposed in this invention.

[0021] A method for unmanned vehicle retail transactions based on an AI agent includes the following steps: On-site customers send voice messages containing their purchase intention and a contact identifier for a remote payment request to the unmanned vending vehicle via voice interaction; the voice interaction module of the unmanned vending vehicle receives the voice message and converts it into text; the AI ​​agent module extracts the valid purchase intention from the text and retrieves the corresponding product price information from the vending machine module based on the purchase intention; the contact identifier for the remote payment request is extracted from the text and a communication connection request is initiated with the remote payer; after establishing the communication connection with the remote payer, the on-site customer and the remote payer negotiate via voice to confirm the purchase intention and price information of the target product; based on the negotiation confirmation, payment information for the corresponding target product is requested; the payment information is sent to the mobile terminal held by the remote payer via a wireless communication module; after the remote payer completes the payment operation on their mobile terminal, the payment module retrieves the payment result from the cloud payment platform and informs the AI ​​agent; upon receiving confirmation of successful payment, the AI ​​agent instructs the vending machine module to provide the on-site customer with the desired target product.

[0022] On-site customers will interact with the unmanned vending vehicle via voice. During this process, customers need to express their purchase intention and provide the contact information of the person they wish to contact for remote payment assistance. For example, a customer can directly tell the vending vehicle that they want to buy a bottle of cola and provide their parent's phone number. This voice information will be received by the vending vehicle's voice interaction module.

[0023] The voice interaction module of the unmanned vending cart converts the received voice information into text information, which is then processed by the AI ​​agent module. It extracts valid purchase intentions from the text, identifying a need to buy a bottle of Mineral Coke from the user's speech-to-text conversion. Based on this purchase intention, the AI ​​agent module searches for corresponding product information in the vending machine module, for example, finding that the Mineral Coke is priced at two yuan.

[0024] The AI ​​agent module also extracts contact information for the remote payment request recipient from text messages, such as the parent's phone number provided by the user. It then initiates a communication connection request with the remote payer based on the phone number. Once the connection is established, the on-site purchaser and the remote payer can negotiate via voice. For example, the user and parent can communicate through the voice channel of the unmanned vending vehicle to confirm that the product is indeed mineral water and the price is two yuan, thus reaching a consensus on the purchase.

[0025] After the negotiation and confirmation are completed, the unmanned vending vehicle will apply for payment information for the corresponding target product based on the result. The payment information can be in the form of a payment QR code or a payment link. Then, the unmanned vending vehicle will send the payment information to the mobile terminal held by the remote payer through the wireless communication module, such as sending the payment QR code to the parent's mobile phone.

[0026] The remote payer completes the payment on their mobile device. After payment, the unmanned vending vehicle retrieves the payment result from the cloud payment platform. If a payment success confirmation is received, the AI ​​agent module of the unmanned vending vehicle triggers the vending machine module, which then provides the corresponding target product to the customer on-site.

[0027] The unmanned vending vehicles automatically drive in public places according to predetermined routes or routes dynamically planned based on real-time crowd heat maps.

[0028] Firstly, the unmanned vending trucks have two route modes. The first is the predetermined route mode. For example, in large scenic areas, the operator can pre-set the driving route of the unmanned vending trucks, allowing the vehicles to travel in a loop along fixed paths such as the main walkways and viewing platforms of the scenic area. In this way, tourists can encounter vending trucks in areas they frequently visit.

[0029] The second approach is a dynamic route planning mode based on real-time crowd heat maps. Real-time crowd heat maps reflect the density of people in a specific area, and unmanned vending vehicles can acquire this data and adjust their routes accordingly. For example, in a city square, when the heat map shows that the crowd density on the east side of the square is significantly higher than in other areas, the unmanned vending vehicle will automatically adjust its route to prioritize the eastern area in order to better approach people with shopping needs.

[0030] Whether using a predetermined route or a dynamically planned route, the unmanned vending vehicles will eventually travel automatically in public places such as squares, parks, scenic spots, and transportation hubs, thereby achieving coverage of goods sales and allowing people in different areas to conveniently access the services of the unmanned vending vehicles.

[0031] The AI ​​agent module includes a large language model, a toolset, and a main control unit. The large language model is used for semantic understanding, intent recognition, intent extraction, and intent reasoning of text information. The toolset enables the AI ​​agent module to interact with the vending machine module, the wireless communication module, and the mobile payment module. The main control unit is used to control the information reception, internal reasoning, and action execution loop of the AI ​​agent module.

[0032] The large language model is the core of the AI ​​agent module for processing information. After the voice interaction module of the unmanned vending vehicle converts the user's speech into text information, the large language model performs semantic understanding on this text. For example, if the user says they want to buy a bottle of Coke and contact their mother, the model can understand the specific meaning of this sentence. Next, it performs intent recognition to determine that the user's core needs are to purchase goods and request remote payment. Then, it completes intent extraction, clarifying that the specific product to be purchased is Coke and the person to be contacted is the mother. Finally, it performs intent reasoning, such as combining the content of the text information to determine that the user needs to check the Coke's inventory and price before initiating a communication connection with their mother.

[0033] The toolset serves as a bridge for interaction between the AI ​​agent module and other modules. When the large language model determines that the user wants to buy cola, the toolset interacts with the vending machine module to check the cola's availability and price. When it's necessary to contact a remote payment person, the toolset interacts with the wireless communication module to initiate a communication connection request with the mother. After the purchase information is agreed upon, the toolset interacts with the mobile payment module to request the corresponding payment information and send it to the mother's mobile device, while continuously monitoring the payment status.

[0034] The main control unit is the central hub for process control within the AI ​​agent module. When text information is received from the voice interaction module, the main control unit controls the reception of the information and transmits it to the large language model. During the internal reasoning process of semantic understanding and intent recognition by the large language model, the main control unit coordinates the information flow of each stage. When interaction with other modules or actions such as dispensing are required, the main control unit controls the execution of the action. For example, after receiving a payment success message, it triggers the vending machine module to complete the dispensing, then returns to the information receiving stage to wait for the next user request, thus forming a complete loop process.

[0035] Contact identifiers for remote payment assistance recipients include phone numbers, social network accounts, or identifiers that arrive remotely via signal.

[0036] Firstly, the contact identifier could be a phone number. When a customer needs to make a purchase remotely, such as a child wanting to buy snacks, they can provide their parent's phone number to the vending machine. The vending machine can then use its communication module to initiate a voice call via the phone number to directly contact the parent, preparing for subsequent payment negotiations.

[0037] The contact identifier can be a social network account. For example, if a young person does not have a payment device, they can provide their friend's social network account. The unmanned vending vehicle can then initiate a communication request to that account through the corresponding social platform interface, allowing the user to connect with their friend and confirm the purchase and payment information.

[0038] Contact identifiers include identifiers that arrive remotely via signals. These identifiers can take the form of specific device identification codes, such as when a user carries a smart device that emits a specific signal. The unmanned vending vehicle can capture the signal identifier of this device and use it to establish a communication connection with the payer bound to the device, thereby facilitating the remote payment process.

[0039] Different types of contact identifiers provide on-site customers with a variety of remote assistance channels, ensuring that the unmanned vending vehicle can successfully contact the corresponding payer to complete the subsequent payment confirmation and transaction process.

[0040] The payment information is one of the following: payment QR code, payment URL, or other payment verification methods.

[0041] Payment information can be a QR code. After the on-site customer and the remote payer confirm the purchase, the mobile payment module of the unmanned vending vehicle generates a corresponding QR code, which is then sent to the remote payer's mobile terminal via a wireless communication module. For example, if the remote payer is the customer's parent, the parent's phone will receive a QR code containing the price of the goods. The parent can then simply open a payment app and scan the QR code to complete the payment.

[0042] Payment information can be a payment URL. The mobile payment module of the unmanned vending vehicle generates a web link containing payment information, sends it to the mobile terminal of the remote payer, and the payer only needs to click the link to be redirected to the corresponding payment page, where they can confirm the product information and amount, thus completing the payment process. For example, if a user's friend receives this URL link, clicks it, and directly enters the payment interface to complete the payment.

[0043] Payment information can be obtained through other payment verification methods. It could be in the form of a dynamic verification code. The unmanned vending vehicle generates corresponding dynamic verification information and sends it to the remote payer. The payer then enters this verification code into their payment software to complete the payment confirmation. For example, the remote payer receives a string of dynamic numbers, enters it into the verification box on the payment interface, and can complete the corresponding payment operation.

[0044] Different forms of payment information provide flexible payment entry points for remote payers, ensuring that the payment process can adapt to different payment habits and equipment conditions, and smoothly promote the completion of unmanned vehicle retail transactions.

[0045] Real-time crowd heat maps are obtained through at least one of the following methods: based on the heat map service query interface provided by mobile operators or through intelligent sensing data from intersection cameras.

[0046] Firstly, real-time crowd heat maps can be obtained through the heat map service query interface provided by mobile operators. During use, mobile terminals continuously interact with base stations, and the signaling data generated by these interactions records the device's current location information, which can be statistically analyzed to form heat map data. Unmanned vending vehicles can access the corresponding heat map service query interface to determine the crowd density in a specific area. For example, if the number of mobile terminal signaling signals on a pedestrian street in a commercial area increases significantly within a certain time period, the system can generate a high-heat marker for that area, providing a basis for unmanned vending vehicles to plan their routes to that area.

[0047] Real-time crowd heat maps can also be obtained through intelligent sensing data from intersection cameras. Cameras deployed at intersections continuously collect images, and intelligent image analysis technology can identify the number and density of people in the footage. For example, if a camera at an intersection in a city square captures a large crowd gathering in the central area, the intelligent sensing system will mark this area as a high-heat zone and synchronize the data to the route planning module of the unmanned vending vehicle, guiding the vehicle to prioritize providing service to that area.

[0048] The interaction between the toolset and the vending machine module specifically includes: querying product inventory and price information; and triggering the drive mechanism of the vending machine module after receiving a payment success instruction to complete the dispensing of the specified product.

[0049] The first step involves checking product inventory and pricing information. When a customer makes a purchase request via voice to the unmanned vending machine, the AI ​​agent module interacts with the vending machine module using a toolset. For example, if a customer wants to buy a bottle of cola, the toolset sends a corresponding query request to the vending machine module. The vending machine module retrieves its stored product data to confirm the availability of cola and extracts the corresponding pricing information. This information is then fed back to the AI ​​agent module, allowing the system to clearly inform the customer whether the product is available and its price, providing a basis for subsequent payment negotiations.

[0050] Once the remote payment user completes the payment, the AI ​​agent module of the unmanned vending vehicle receives the payment success notification and transmits the instructions to the vending machine module via its toolset. At this point, the drive mechanism of the vending machine module is activated. For example, the door switch or push device corresponding to the cola storage location will be activated, delivering the designated product from the vending machine so that the on-site customer can obtain the purchased item.

[0051] The interaction between the toolset and the wireless communication module specifically includes: calling the communication interface, initiating a voice call or data communication request based on the remote payer's contact identifier, and maintaining the communication link until the payment confirmation process ends.

[0052] The first step involves initiating a connection request via the communication interface. Once the AI ​​agent module extracts the contact identifier of the remote payer from the user's voice information, it uses a toolset to call the communication interface of the wireless communication module. For example, if the contact identifier provided by the user is a parent's phone number, the toolset will initiate a voice call request to that number via the communication interface; if the contact identifier is a social network account, the toolset will initiate a data communication request to the corresponding platform. This process allows the unmanned vending vehicle to quickly establish a direct communication channel with the remote payer, preparing for subsequent confirmation of purchase information.

[0053] Next is the maintenance of the communication link until the payment confirmation process is complete. Once a voice call or data communication request is answered by the remote payer, the toolset continuously maintains the connection between the wireless communication module and the payer's terminal. For example, while the on-site customer and their parents are negotiating product information and confirming the payment amount via voice, the communication link will remain stable and will not be disconnected midway. Even during the payment information sending and payment operation execution phases, the link will continue to be maintained until the unmanned vending vehicle receives confirmation of payment success or failure. Only after the entire payment confirmation process is completely completed will the communication link be closed.

[0054] The interaction between the toolset and the mobile payment module specifically includes: sending a payment request containing the product amount and order number to the mobile payment module, receiving the payment voucher generated by the mobile payment module, and continuously querying the payment status until success or failure.

[0055] Once the on-site purchaser and the remote payer have confirmed the purchase intention and price of the target product, the AI ​​agent module initiates a request to the mobile payment module via a toolset. The request includes specific information, such as the product price of three yuan and the corresponding order number. If the user is purchasing a bottle of cola, the toolset transmits the cola's price of three yuan and the system-generated unique order number to the mobile payment module, providing basic information for subsequent payment operations.

[0056] After receiving a request containing the product amount and order number, the mobile payment module generates a corresponding payment voucher, such as a payment QR code or payment URL. The toolset then receives this voucher generated by the mobile payment module and sends it to the remote payer's mobile terminal via the wireless communication module, allowing the payer to complete the payment transaction using this voucher.

[0057] After the payment voucher is sent, the toolset continuously interacts with the mobile payment module, repeatedly querying the payment status of the order. For example, starting from the time the voucher is sent, the toolset confirms with the mobile payment module at regular intervals whether the payment is complete. This process continues until a clear payment result is obtained, after which the query process ends, so that the AI ​​agent module can trigger subsequent actions such as shipping or informing the user based on the result.

[0058] An AI-based unmanned vehicle retail transaction system includes: an information sending module: on-site customers send voice messages containing their purchase intention and the contact identifier of a remote payment assistance recipient to the unmanned vending vehicle via voice interaction; an extraction module: the voice interaction module of the unmanned vending vehicle receives the voice messages and converts them into text messages; the AI ​​agent module extracts the valid purchase intention from the text messages and retrieves the price information of the corresponding product from the unmanned vending machine module based on the purchase intention; a confirmation module: extracts the contact identifier of the remote payment assistance recipient from the text messages and initiates a communication connection request with the remote payer based on the contact identifier; after establishing a communication connection with the remote payer, the on-site customer and the remote payer negotiate via voice to confirm the purchase intention and price information of the target product; an application module: applies for payment information for the corresponding target product based on the negotiation confirmation result; sends the payment information to the mobile terminal held by the remote payer via a wireless communication module; a payment module: completes the payment operation on the remote payer's mobile terminal and retrieves the payment result from the cloud payment platform; and a delivery module: upon receiving confirmation of successful payment, the unmanned vending machine module provides the target product that the on-site customer desired.

[0059] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0060] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0061] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for unmanned vehicle retail transactions based on AI intelligent agents, characterized in that, The method includes the following steps: On-site customers send voice messages containing their purchase intention and the contact identifier of a remote payment assistance recipient to the unmanned vending vehicle via voice interaction; the voice interaction module of the unmanned vending vehicle receives the voice message and converts it into text; the AI ​​agent module extracts the valid purchase intention from the text and retrieves the corresponding product price information from the unmanned vending machine module based on the purchase intention; the contact identifier of the remote payment assistance recipient is extracted from the text and a communication connection request is initiated with the remote payer based on the contact identifier; after establishing a communication connection with the remote payer, the on-site customer and the remote payer negotiate via voice to confirm the purchase intention and price information of the target product; based on the negotiation confirmation result, payment information for the corresponding target product is requested; the payment information is sent to the mobile terminal held by the remote payer via a wireless communication module; after the remote payer completes the payment operation on their mobile terminal, the payment module retrieves the payment result from the cloud payment platform and notifies the AI ​​agent; after receiving the payment success confirmation, the AI ​​agent instructs the unmanned vending machine module to provide the on-site customer with the desired target product.

2. The unmanned vehicle retail transaction method based on AI intelligent agents according to claim 1, characterized in that, The unmanned vending vehicles automatically drive in public places according to predetermined routes or routes dynamically planned based on real-time crowd heat maps.

3. A method for unmanned vehicle retail transactions based on AI intelligent agents according to claim 1, characterized in that, The AI ​​agent module includes a large language model, a toolset, and a main control unit. The large language model is used for semantic understanding, intent recognition, intent extraction, and intent reasoning of text information. The toolset enables the AI ​​agent module to interact with the vending machine module, the wireless communication module, and the mobile payment module. The main control unit is used to control the information reception, internal reasoning, and action execution loop of the AI ​​agent module.

4. A method for unmanned vehicle retail transactions based on AI intelligent agents according to claim 1, characterized in that, Contact identifiers for remote payment assistance recipients include phone numbers, social network accounts, or identifiers that arrive remotely via signal.

5. A method for unmanned vehicle retail transactions based on AI intelligent agents according to claim 1, characterized in that, The payment information is one of the following: payment QR code, payment URL, or other payment verification methods.

6. A method for unmanned vehicle retail transactions based on AI intelligent agents according to claim 2, characterized in that, Real-time crowd heat maps are obtained through at least one of the following methods: based on the crowd heat map service query interface provided by mobile operators or through intelligent sensing data from intersection cameras.

7. A method for unmanned vehicle retail transactions based on AI intelligent agents according to claim 3, characterized in that, The interaction between the toolset and the vending machine module specifically includes: querying product inventory and price information; and triggering the drive mechanism of the vending machine module after receiving a payment success instruction to complete the dispensing of the specified product.

8. A method for unmanned vehicle retail transactions based on AI intelligent agents according to claim 3, characterized in that, The interaction between the toolset and the wireless communication module specifically includes: calling the communication interface, initiating a voice call or data communication request based on the remote payer's contact identifier, and maintaining the communication link until the payment confirmation process ends.

9. A method for unmanned vehicle retail transactions based on AI intelligent agents according to claim 4, characterized in that, The interaction between the toolset and the mobile payment module specifically includes: sending a payment request containing the product amount and order number to the mobile payment module, receiving the payment voucher generated by the mobile payment module, and continuously querying the payment status until success or failure.

10. An AI-based unmanned vehicle retail transaction system, applied to the AI-based unmanned vehicle retail transaction method according to any one of claims 1-9, characterized in that, include: Information Sending Module: On-site customers send voice messages containing their purchase intention and the contact information of the remote payment assistance recipient to the unmanned vending vehicle via voice interaction. Extraction Module: The voice interaction module of the unmanned vending vehicle receives the voice message and converts it into text. The AI ​​agent module extracts the valid purchase intention from the text message and retrieves the price information of the corresponding product from the unmanned vending machine module based on the purchase intention. Confirmation Module: The contact information of the remote payment assistance recipient is extracted from the text message, and a communication connection request is initiated with the remote payer based on the contact information. After establishing a communication connection with the remote payer, the on-site customer and the remote payer negotiate via voice to confirm the purchase intention and price information of the target product. Application Module: Based on the negotiation confirmation result, the payment information for the corresponding target product is requested. The payment information is sent to the mobile terminal held by the remote payer via the wireless communication module. Payment Module: After the remote payer completes the payment operation on their mobile terminal, the payment result is retrieved from the cloud payment platform and notified to the AI ​​agent. Delivery Module: After receiving the payment success confirmation, the AI ​​agent enables the unmanned vending machine module to provide the on-site customer with the target product they wish to purchase.

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