Logistics order call delivery method, apparatus and device, and storage medium

Abstract

The invention discloses a logistics order call delivery method, and the method comprises the steps: obtaining logistics order information, and carrying out the scanning of an order number of a logistics order and the addressee information of the logistics order; initiating a voice call, initiating a voice call to a logistics order recipient, performing voice recognition on call voice of the recipient, and storing a voice recognition result; constructing a recipient behavior prediction model for performing semantic analysis on the voice recognition result and predicting the delivery preference of the recipient; and determining a delivery mode, and determining the delivery mode of the logistics order according to the addressee data and the addressee sign-in portrait. According to the logistics order call delivery method, the delivery preference of the recipient can be intelligently analyzed according to the specific situation, various situations can be flexibly adapted, the accuracy of the logistics order delivery notification and the satisfaction degree of the recipient are remarkably improved, manual intervention is reduced, the operation cost of a logistics company is reduced, and the service life of the logistics company is prolonged. And meanwhile, the flexibility and the strain capacity of the logistics service are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a logistics order call dispatching method, device, equipment and storage medium. Background Art

[0002] With the booming development of e-commerce, online shopping is becoming more and more popular, and the number of logistics orders has increased dramatically. The traditional manual telephone notification method is not only inefficient in delivery due to various reasons, but also prone to errors and omissions, affecting the recipient experience. In the existing technology, although some automated notification methods have been applied, they often lack personalized and intelligent delivery notification methods for individual recipients, and cannot effectively respond to the complex and changeable delivery needs of recipients and changes in logistics conditions, and cannot analyze the delivery preferences of recipients and flexibly adapt to various situations.

[0003] In order to be able to intelligently analyze the recipient's delivery preferences according to specific circumstances, flexibly adapt to various situations, shorten the delivery cycle of logistics orders, improve the work efficiency of delivery staff, and continuously learn and optimize, it is necessary to invent a logistics order call delivery method, device, equipment and storage medium. Summary of the invention

[0004] The main purpose of the present invention is to solve the technical problems in the prior art that it is impossible to intelligently analyze the recipient's delivery preferences according to specific circumstances, flexibly adapt to various situations, shorten the delivery cycle of logistics orders, improve the work efficiency of delivery staff, and continuously learn and optimize.

[0005] A first aspect of the present invention provides a logistics order call dispatching method, the method comprising:

[0006] Get the logistics order information, scan and get the order number of the logistics order and the recipient information of the logistics order;

[0007] Initiate a voice call to the recipient of the logistics order, perform voice recognition on the recipient's call voice, and store the voice recognition result;

[0008] Constructing a recipient behavior prediction model for performing semantic analysis on the speech recognition results to predict the recipient's delivery preference;

[0009] Determine the delivery method, determine the delivery method of the logistics order according to the recipient data and the recipient's receipt portrait, and deliver the logistics order according to the delivery method.

[0010] Optionally, in a first implementation of the first aspect of the present invention, the obtaining of logistics order information, scanning to obtain the order number of the logistics order and the recipient information of the logistics order, includes:

[0011] Obtaining order information of the logistics order by scanning the order number of the logistics order, and extracting recipient information from the order information;

[0012] Determine whether there is an associated logistics order for the logistics order at the same time according to the recipient information and the preset order database;

[0013] If it exists, the logistics order is numbered and marked according to the preset delivery numbering rule, and the logistics order and the associated logistics order are aggregated and delivered.

[0014] Optionally, in a second implementation of the first aspect of the present invention, the initiating a voice call, initiating a voice call to a recipient of a logistics order, performing voice recognition on the recipient's call voice, and storing the voice recognition result, includes:

[0015] In response to a call instruction from the logistics terminal service handheld terminal, a voice call is initiated to the recipient of the logistics order, and the call record is saved;

[0016] If the voice is connected, the call mark is connected, and the voice of the recipient is recognized, and the voice recognition result is stored in text form;

[0017] Performing semantic analysis on the speech recognition result to determine the recipient's receiving scenario;

[0018] If the voice is not connected, it is marked as not connected;

[0019] The call record shows the call duration and the recipient's voice reply result.

[0020] Optionally, in a third implementation of the first aspect of the present invention, the step of constructing a recipient behavior prediction model for semantically analyzing the speech recognition result to predict the recipient's delivery preference includes:

[0021] Pre-build recipient behavior prediction models;

[0022] Obtain the recipient's historical logistics order delivery data within a preset time period, perform data preprocessing on the historical logistics order delivery data, and obtain logistics order receipt data that meets the data mining standard;

[0023] Inputting the logistics order receipt data into the recipient behavior prediction model for prediction to obtain the recipient's historical delivery preference information;

[0024] The speech recognition result is input into the recipient behavior prediction model to obtain the current delivery preference information of the logistics order recipient.

[0025] Optionally, in a fourth implementation of the first aspect of the present invention, the determining of the delivery method, determining the delivery method of the logistics order according to the recipient data and the recipient's receipt portrait, and delivering the logistics order according to the delivery method, includes:

[0026] Performing intent recognition on the logistics order receipt data through a preset intent recognition model to obtain recipient intent label data;

[0027] Associating the intention tag data, the historical delivery preference information of the consignee, and the current delivery preference information of the consignee of the logistics order to generate a portrait of the consignee signing for the consignment;

[0028] The delivery method of the logistics order is determined based on the recipient's receipt portrait, and the logistics order is delivered according to the logistics order delivery method.

[0029] Optionally, in a fifth implementation of the first aspect of the present invention, determining the recipient's receiving scenario includes:

[0030] Obtaining a setting field based on the speech recognition result and the recipient's speech reply result;

[0031] In response to the logistics terminal delivery mode being self-pickup, determining a self-pickup point according to the speech recognition result, and using the determined self-pickup point as the setting field;

[0032] In response to the logistics terminal delivery method being door-to-door delivery, the delivery address is determined according to the voice recognition result, and the setting field is determined from the delivery address.

[0033] Optionally, in a sixth implementation of the first aspect of the present invention, the historical logistics order delivery data,

[0034] Including one or more of the order type, package type, and package specifications of the historical logistics orders;

[0035] Or the historical logistics order delivery data includes an identifier of the historical logistics order, and one or more of the order type, package type, and package specifications of the order are obtained based on the identifier of the order.

[0036] A second aspect of the present invention provides a logistics order call dispatching device, comprising:

[0037] The module for obtaining logistics order information is used to scan and obtain the order number of the logistics order and the recipient information of the logistics order;

[0038] A voice call initiation module is used to initiate a voice call to the recipient of the logistics order, perform voice recognition on the recipient's call voice, and store the voice recognition result;

[0039] Constructing a recipient behavior prediction model module for performing semantic analysis on the speech recognition results to predict the recipient's delivery preference;

[0040] The module for determining the delivery method is used to determine the delivery method of the logistics order based on the recipient data and the recipient's receipt portrait, and deliver the logistics order according to the delivery method.

[0041] A third aspect of the present invention provides a computer device, the computer device comprising a memory and at least one processor, the memory storing instructions;

[0042] The at least one processor calls the instructions in the memory so that the computer device executes the logistics order call dispatch method as described above.

[0043] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is loaded by a processor to execute the logistics order call and delivery method described above.

[0044] The logistics order call delivery method of the present invention can intelligently analyze the recipient's delivery preferences according to specific circumstances and flexibly adapt to various situations, significantly improving the accuracy of logistics order delivery notifications and recipient satisfaction, reducing manual intervention, and reducing the operating costs of logistics companies, while enhancing the flexibility and adaptability of logistics services. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A flow chart of a logistics order call and delivery method provided by an embodiment of the present invention;

[0046] Figure 2 A flow chart of obtaining logistics order information in the logistics order call and delivery method provided in an embodiment of the present invention;

[0047] Figure 3 A flow chart of initiating a voice call in the logistics order call delivery method provided in an embodiment of the present invention;

[0048] Figure 4 A flow chart of constructing a recipient behavior prediction model in the logistics order call delivery method provided in an embodiment of the present invention;

[0049] Figure 5 A flow chart of determining a delivery method in a logistics order call delivery method provided in an embodiment of the present invention;

[0050] Figure 6 A flow chart of determining the recipient's receiving scenario in the logistics order call delivery method provided in an embodiment of the present invention;

[0051] Figure 7 A schematic diagram of the structure of a logistics order call and delivery device provided by an embodiment of the present invention;

[0052] Figure 8 Another structural schematic diagram of the logistics order call and delivery device provided by an embodiment of the present invention;

[0053] Fig. 9 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] The present invention provides a logistics order call dispatching method, the method comprising:

[0055] Get the logistics order information, scan and get the order number of the logistics order and the recipient information of the logistics order;

[0056] Initiate a voice call to the recipient of the logistics order, perform voice recognition on the recipient's call voice, and store the voice recognition result;

[0057] Constructing a recipient behavior prediction model for performing semantic analysis on the speech recognition results to predict the recipient's delivery preference;

[0058] Determine the delivery method, determine the delivery method of the logistics order according to the recipient data and the recipient's receipt portrait, and deliver the logistics order according to the delivery method.

[0059] The logistics order call delivery method of the present invention can intelligently analyze the recipient's delivery preferences according to specific circumstances and flexibly adapt to various situations, significantly improving the accuracy of logistics order delivery notifications and recipient satisfaction, reducing manual intervention, and reducing the operating costs of logistics companies, while enhancing the flexibility and adaptability of logistics services.

[0060] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0061] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 , an embodiment of the present invention provides a logistics order call dispatching method, the method comprising:

[0062] 101. Obtain logistics order information, scan and obtain the order number of the logistics order and the recipient information of the logistics order;

[0063] 102. Initiate a voice call to the recipient of the logistics order, perform voice recognition on the recipient's voice, and store the voice recognition result;

[0064] 103. Constructing a recipient behavior prediction model to perform semantic analysis on the speech recognition result and predict the recipient's delivery preference;

[0065] 104. Determine the delivery method: determine the delivery method of the logistics order according to the recipient data and the recipient's receipt portrait, and deliver the logistics order according to the delivery method.

[0066] The logistics order call delivery method of the present invention can intelligently analyze the recipient's delivery preferences according to specific circumstances and flexibly adapt to various situations, significantly improving the accuracy of logistics order delivery notifications and recipient satisfaction, reducing manual intervention, and reducing the operating costs of logistics companies, while enhancing the flexibility and adaptability of logistics services.

[0067] See also Figure 2 In the second embodiment of the logistics order call dispatching method in the embodiment of the present invention, based on the above embodiment, the process of obtaining logistics order information, scanning and obtaining the order number of the logistics order and the recipient information of the logistics order includes:

[0068] 201. Obtain order information of the logistics order by scanning the order number of the logistics order, and extract recipient information in the order information;

[0069] 202. Determine, based on the recipient information and a preset order database, whether there is an associated logistics order for the logistics order at the same time;

[0070] 203. If so, the logistics order is numbered and marked according to a preset delivery numbering rule, and the logistics order and the associated logistics order are aggregated and delivered.

[0071] The embodiment of the present invention obtains logistics order information to determine whether there are other logistics orders for the same recipient. If there are other related logistics orders, the logistics orders of the same recipient can be delivered simultaneously, which saves the delivery cycle of logistics orders, reduces operating costs, optimizes the delivery method of the logistics company, and improves the recipient's delivery experience and service satisfaction.

[0072] See also Figure 3 In the third embodiment of the logistics order call dispatching method in the embodiment of the present invention, the initiating a voice call, initiating a voice call to the logistics order recipient, performing voice recognition on the recipient's call voice, and storing the voice recognition result, comprises:

[0073] 301. In response to a call instruction from the logistics terminal service handheld terminal, a voice call is initiated to the logistics order recipient, and the call record is saved;

[0074] 302. If the voice is connected, the call mark is connected, and the voice of the recipient is recognized, and the voice recognition result is stored in text form;

[0075] 303. Perform semantic analysis on the speech recognition result to determine the recipient's receiving scenario;

[0076] In some embodiments, the collection scenario includes a collection point, which is suitable for most delivery scenarios. Generally, the recipient is asked about his / her delivery willingness after distribution and before delivery.

[0077] In some embodiments, the delivery scenario includes the recipient picking up the parcel by himself, which is applicable to the situation where the salesperson has arrived near the delivery location during the delivery process but cannot go to the door or deliver the parcel directly to the recipient, such as downstairs of an office building, at the factory gate, at the school gate, etc.

[0078] In some implementations, the delivery scenario includes holiday delivery, which is used to ask the recipient whether the delivery is available during the holiday. If not, the delivery is delivered after the holiday.

[0079] 304. If the voice is not connected, mark it as not connected;

[0080] 305. The call record displays the call duration and the recipient's voice reply result.

[0081] In some embodiments, the voice call initiated to the logistics order recipient is limited in the number of calls.

[0082] In some embodiments, the call limit is that the maximum number of calls to the same recipient on the same day is 3.

[0083] Before a logistics order is delivered, the embodiment of the present invention can make an intelligent voice call to the recipient and determine the delivery scenario through the recipient's voice reply. The intelligent voice call can significantly improve the work efficiency of the call. The recipient only needs to simply reply according to the voice guidance to know the delivery hospital, which greatly improves the delivery efficiency of logistics orders and reduces operating costs.

[0084] See also Figure 4 In the fourth embodiment of the logistics order call delivery method in the embodiments of the present invention, the construction of the recipient behavior prediction model is used to perform semantic analysis on the speech recognition result to predict the delivery preference of the recipient, including:

[0085] 401. Pre-build a recipient behavior prediction model;

[0086] 402. Obtain the recipient's historical logistics order delivery data within a preset time period, perform data preprocessing on the historical logistics order delivery data, and obtain logistics order receipt data that meets the data mining standard;

[0087] 403. Input the logistics order receipt data into a recipient behavior prediction model for prediction to obtain the recipient's historical delivery preference information;

[0088] 404. Input the speech recognition result into the recipient behavior prediction model to obtain the current delivery preference information of the logistics order recipient.

[0089] The embodiment of the present invention collects recipient data from multiple channels such as the recipient's historical logistics order delivery data and the recipient's account system within a preset time period, including but not limited to historical delivery records, recipient preference settings, social media activities, etc., applies data cleaning and preprocessing technology, and predicts recipient behavior to obtain current delivery preference information, thereby being able to provide recipients with better delivery experience and delivery service satisfaction.

[0090] See also Figure 5 In a fifth embodiment of the logistics order call dispatching method in an embodiment of the present invention, the delivery method is determined according to the recipient data and the recipient's receipt portrait, and the logistics order is dispatched according to the delivery method, including:

[0091] 501. Performing intent recognition on the logistics order receipt data through a preset intent recognition model to obtain recipient intent label data;

[0092] 502. Associating the intention tag data, the historical delivery preference information of the consignee, and the current delivery preference information of the consignee of the logistics order to generate a portrait of the consignee signing for the consignment;

[0093] 503. Determine a delivery method for the logistics order based on the recipient's signature portrait, and deliver the logistics order based on the logistics order delivery method.

[0094] In some embodiments, the historical logistics order delivery data,

[0095] Including one or more of the order type, package type, and package specifications of the historical logistics orders;

[0096] Or the historical logistics order delivery data includes an identifier of the historical logistics order, and one or more of the order type, package type, and package specifications of the order are obtained based on the identifier of the order.

[0097] The embodiments of the present invention collect recipient data from multiple channels such as logistics databases, recipient account systems, social media, etc., including but not limited to historical delivery records, recipient preference settings, social media activities, etc., and use data cleaning and preprocessing technology to form a comprehensive portrait of the recipient. Recipient behavior prediction model: Use historical data to train a machine learning model to predict the best time and preferred channel for the recipient to receive notifications, such as voice, SMS or social media private messages. It significantly improves the accuracy of logistics notifications and recipient satisfaction, reduces manual intervention, reduces operating costs, and enhances the flexibility and adaptability of logistics services.

[0098] See also Figure 6 In the sixth embodiment of the logistics order call dispatching method in the embodiment of the present invention, the determining of the recipient's receiving scenario includes:

[0099] 601. Obtaining a setting field based on the speech recognition result and the recipient's speech reply result;

[0100] 602. In response to the logistics terminal delivery mode being self-pickup, determine a self-pickup point according to the voice recognition result, and use the determined self-pickup point as the setting field;

[0101] 603. In response to the logistics terminal delivery method being door-to-door delivery, determine the delivery address according to the voice recognition result, and determine the set field from the delivery address.

[0102] The embodiment of the present invention can provide refined terminal delivery information based on the voice recognition results and the determined terminal delivery method, so as to facilitate the guidance of the delivery personnel to deliver the items, thereby further optimizing the terminal delivery.

[0103] The above describes the logistics order call dispatching method in the embodiment of the present invention. The following describes the logistics order call dispatching device in the embodiment of the present invention. Figure 7In one embodiment of the present invention, a logistics order call dispatching device includes:

[0104] The logistics order information acquisition module 701 is used to scan and acquire the order number of the logistics order and the recipient information of the logistics order;

[0105] The voice call initiation module 702 is used to initiate a voice call to the recipient of the logistics order, perform voice recognition on the recipient's conversation voice, and store the voice recognition result;

[0106] Constructing a recipient behavior prediction model module 703, for performing semantic analysis on the speech recognition result to predict the recipient's delivery preference;

[0107] The delivery method determination module 704 is used to determine the delivery method of the logistics order according to the recipient data and the recipient's receipt portrait, and deliver the logistics order according to the delivery method.

[0108] The logistics order call dispatch device of the present invention can intelligently analyze the recipient's delivery preferences according to specific circumstances and flexibly adapt to various situations, significantly improving the accuracy of logistics order delivery notifications and recipient satisfaction, reducing manual intervention, and reducing the operating costs of logistics companies, while enhancing the flexibility and adaptability of logistics services.

[0109] See also Figure 8 Another embodiment of the logistics order call dispatching device in the embodiment of the present invention includes:

[0110] The logistics order information acquisition module 701 is used to scan and acquire the order number of the logistics order and the recipient information of the logistics order;

[0111] The module 701 for obtaining logistics order information includes:

[0112] The first acquisition unit 7011 is used to acquire order information of the logistics order by scanning the order number of the logistics order, and extract recipient information from the order information;

[0113] The first determining unit 7012 is used to determine whether there is an associated logistics order for the logistics order at the same time according to the recipient information and the preset order database;

[0114] The first marking unit 7013 is used to mark the logistics order with numbers according to a preset delivery numbering rule if there is an associated logistics order for the logistics order at the same time, and to aggregate and deliver the logistics order and the associated logistics order.

[0115] The embodiment of the present invention obtains logistics order information to determine whether there are other logistics orders for the same recipient. If there are other related logistics orders, the logistics orders of the same recipient can be delivered simultaneously, which saves the delivery cycle of logistics orders, reduces operating costs, optimizes the delivery method of the logistics company, and improves the recipient's delivery experience and service satisfaction.

[0116] The voice call initiation module 702 is used to initiate a voice call to the recipient of the logistics order, perform voice recognition on the recipient's conversation voice, and store the voice recognition result;

[0117] The voice call initiating module 702 includes:

[0118] The calling unit 7021 is used to respond to the calling instruction of the logistics terminal service handheld terminal, initiate a voice call to the logistics order recipient, and save the call record;

[0119] The speech recognition unit 7022 is used to connect the call mark if the voice is connected, and perform speech recognition on the call voice of the recipient, and store the speech recognition result in text form;

[0120] A semantic analysis unit 7023, configured to perform semantic analysis on the speech recognition result to determine the recipient's receiving scenario;

[0121] In some embodiments, the collection scenario includes a collection point, which is suitable for most delivery scenarios. Generally, the recipient is asked about his / her delivery willingness after distribution and before delivery.

[0122] In some embodiments, the delivery scenario includes the recipient picking up the parcel by himself, which is applicable to the situation where the salesperson has arrived near the delivery location during the delivery process but cannot go to the door or deliver the parcel directly to the recipient, such as downstairs of an office building, at the factory gate, at the school gate, etc.

[0123] In some implementations, the delivery scenario includes holiday delivery, which is used to ask the recipient whether the delivery is available during the holiday. If not, the delivery is delivered after the holiday.

[0124] The second marking unit 7024 is used to mark the voice as unconnected if the voice is not connected;

[0125] The call display unit 7025 is used for displaying the call duration and the recipient's voice reply result in the call record.

[0126] In some embodiments, the voice call initiated to the logistics order recipient is limited in the number of calls.

[0127] In some embodiments, the call limit is that the maximum number of calls to the same recipient on the same day is 3.

[0128] Before a logistics order is delivered, the embodiment of the present invention can make an intelligent voice call to the recipient and determine the delivery scenario through the recipient's voice reply. The intelligent voice call can significantly improve the work efficiency of the call. The recipient only needs to simply reply according to the voice guidance to know the delivery hospital, which greatly improves the delivery efficiency of logistics orders and reduces operating costs.

[0129] Constructing a recipient behavior prediction model module 703, for performing semantic analysis on the speech recognition result to predict the recipient's delivery preference;

[0130] The module 703 for constructing a recipient behavior prediction model includes:

[0131] A construction unit 7031 is used to pre-construct a recipient behavior prediction model;

[0132] The second acquisition unit 7032 is used to acquire the recipient's historical logistics order delivery data within a preset time period, and perform data preprocessing on the historical logistics order delivery data to obtain logistics order receipt data that meets the data mining standard;

[0133] Prediction unit 7033, used for inputting the logistics order receipt data into the recipient behavior prediction model for prediction, and obtaining the recipient's historical delivery preference information;

[0134] The input unit 7044 is used to input the speech recognition result into the recipient behavior prediction model to obtain the current delivery preference information of the logistics order recipient.

[0135] The embodiment of the present invention collects recipient data from multiple channels such as the recipient's historical logistics order delivery data and the recipient's account system within a preset time period, including but not limited to historical delivery records, recipient preference settings, social media activities, etc., applies data cleaning and preprocessing technology, and predicts recipient behavior to obtain current delivery preference information, thereby being able to provide recipients with better delivery experience and delivery service satisfaction.

[0136] The delivery method determination module 704 is used to determine the delivery method of the logistics order according to the recipient data and the recipient's receipt portrait, and deliver the logistics order according to the delivery method.

[0137] The delivery method determination module 704 includes:

[0138] The intention recognition unit 7041 is used to perform intention recognition on the logistics order receipt data through a preset intention recognition model to obtain recipient intention label data;

[0139] An associating unit 7042 is used to associate the intention tag data, the historical delivery preference information of the consignee and the current delivery preference information of the logistics order consignee to generate the consignee signing portrait;

[0140] The second determination unit 7043 is used to determine the delivery method of the logistics order according to the recipient's receipt portrait, and deliver the logistics order according to the logistics order delivery method.

[0141] In some embodiments, the historical logistics order delivery data,

[0142] Including one or more of the order type, package type, and package specifications of the historical logistics orders;

[0143] Or the historical logistics order delivery data includes an identifier of the historical logistics order, and one or more of the order type, package type, and package specifications of the order are obtained based on the identifier of the order.

[0144] The embodiments of the present invention collect recipient data from multiple channels such as logistics databases, recipient account systems, social media, etc., including but not limited to historical delivery records, recipient preference settings, social media activities, etc., and use data cleaning and preprocessing technology to form a comprehensive portrait of the recipient. Recipient behavior prediction model: Use historical data to train a machine learning model to predict the best time and preferred channel for the recipient to receive notifications, such as voice, SMS or social media private messages. It significantly improves the accuracy of logistics notifications and recipient satisfaction, reduces manual intervention, reduces operating costs, and enhances the flexibility and adaptability of logistics services.

[0145] above Figure 7 and Figure 8 The logistics order call dispatch method in the embodiment of the present invention is described in detail from the perspective of modular functional entities, and the electronic device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0146] Fig. 9800 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 810 (for example, one or more processors) and a memory 820, and one or more storage media 830 (for example, one or more mass storage devices) storing application programs 833 or data 832. Among them, the memory 820 and the storage medium 830 may be temporary storage or permanent storage. The program stored in the storage medium 830 may include one or more upper modules (not shown in the figure) for vehicle dispatching at a distribution center, and each module may include a series of instruction operations in the electronic device 800. Furthermore, the processor 810 may be configured to communicate with the storage medium 830 to execute a series of instruction operations in the storage medium 830 on the electronic device 800.

[0147] The electronic device 800 may also include one or more power supplies 840, one or more wired or wireless network interfaces 850, one or more input and output interfaces 850, and / or one or more operating systems 831, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. It will be appreciated by those skilled in the art that Fig. 9 The structure of the electronic device shown does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine some components, or arrange the components differently.

[0148] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the distribution center vehicle dispatching method.

[0149] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device, or unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0150] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0151] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A logistics order call delivery method, characterized in that: The method comprises: Get the logistics order information, scan and get the order number of the logistics order and the recipient information of the logistics order; Initiate a voice call to the recipient of the logistics order, perform voice recognition on the recipient's call voice, and store the voice recognition result; Constructing a recipient behavior prediction model for performing semantic analysis on the speech recognition results to predict the recipient's delivery preference; Determine the delivery method, determine the delivery method of the logistics order according to the recipient data and the recipient's receipt portrait, and deliver the logistics order according to the delivery method.

2. The logistics order call delivery method according to claim 1, characterized in that: The obtaining of logistics order information, scanning to obtain the order number of the logistics order and the recipient information of the logistics order, includes: Obtaining order information of the logistics order by scanning the order number of the logistics order, and extracting recipient information from the order information; Determine whether there is an associated logistics order for the logistics order at the same time according to the recipient information and the preset order database; If it exists, the logistics order is numbered and marked according to the preset delivery numbering rule, and the logistics order and the associated logistics order are aggregated and delivered.

3. The logistics order call delivery method according to claim 2, characterized in that: The initiating a voice call, initiating a voice call to the recipient of the logistics order, performing voice recognition on the recipient's call voice, and storing the voice recognition result, includes: In response to a call instruction from the logistics terminal service handheld terminal, a voice call is initiated to the recipient of the logistics order, and the call record is saved; If the voice is connected, the call mark is connected, and the voice of the recipient is recognized, and the voice recognition result is stored in text form; Performing semantic analysis on the speech recognition result to determine the recipient's receiving scenario; If the voice is not connected, it is marked as not connected; The call record shows the call duration and the recipient's voice reply result.

4. The logistics order call delivery method according to claim 1, characterized in that: The constructing of the recipient behavior prediction model for semantic analysis of the speech recognition result to predict the recipient's delivery preference includes: Pre-build recipient behavior prediction models; Obtain the recipient's historical logistics order delivery data within a preset time period, perform data preprocessing on the historical logistics order delivery data, and obtain logistics order receipt data that meets the data mining standard; Inputting the logistics order receipt data into the recipient behavior prediction model for prediction to obtain the recipient's historical delivery preference information; The speech recognition result is input into the recipient behavior prediction model to obtain the current delivery preference information of the logistics order recipient.

5. The logistics order call delivery method according to claim 4, characterized in that: The determining of the delivery method, determining the delivery method of the logistics order according to the recipient data and the recipient's receipt portrait, and delivering the logistics order according to the delivery method, includes: Performing intent recognition on the logistics order receipt data through a preset intent recognition model to obtain recipient intent label data; Associating the intention tag data, the historical delivery preference information of the consignee, and the current delivery preference information of the consignee of the logistics order to generate a portrait of the consignee signing for the consignment; The delivery method of the logistics order is determined based on the recipient's receipt portrait, and the logistics order is delivered according to the logistics order delivery method.

6. The logistics order call delivery method according to claim 3, characterized in that: The determining of the recipient's receiving scenario includes: Obtaining a setting field based on the speech recognition result and the recipient's speech reply result; In response to the logistics terminal delivery mode being self-pickup, determining a self-pickup point according to the speech recognition result, and using the determined self-pickup point as the setting field; In response to the logistics terminal delivery method being door-to-door delivery, the delivery address is determined according to the voice recognition result, and the setting field is determined from the delivery address.

7. The logistics order call delivery method according to claim 5, characterized in that: The historical logistics order delivery data, Including one or more of the order type, package type, and package specifications of the historical logistics orders; Or the historical logistics order delivery data includes an identifier of the historical logistics order, and one or more of the order type, package type, and package specifications of the order are obtained based on the identifier of the order.

8. A logistics order call dispatching device, characterized in that: include: The module for obtaining logistics order information is used to scan and obtain the order number of the logistics order and the recipient information of the logistics order; A voice call initiation module is used to initiate a voice call to the recipient of the logistics order, perform voice recognition on the recipient's call voice, and store the voice recognition result; Constructing a recipient behavior prediction model module for performing semantic analysis on the speech recognition results to predict the recipient's delivery preference; The module for determining the delivery method is used to determine the delivery method of the logistics order based on the recipient data and the recipient's receipt portrait, and deliver the logistics order according to the delivery method.

9. A computer device, characterized in that: The computer device includes a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory so that the computer device executes the logistics order call dispatching method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program is loaded by a processor to execute the logistics order call dispatch method described in any one of claims 1-7.

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