Picture collection early warning method based on waybill track identification and logistics management system

Abstract

The invention relates to a waybill track identification-based express collection early warning method and a logistics management system, and the method comprises the steps: aggregating the data of a plurality of logistics companies, the data of a plurality of merchant delivery warehouses and the data of a plurality of shopping platform merchants, carrying out the collection monitoring information based on the pre-configured collection monitoring information of the merchants, and employing a mode of intelligent identification of waybill track data, according to the identification result of the waybill track data, whether the corresponding waybill is collected or not is judged, and finally, for the waybill which is not collected, the system sends early warning information to related personnel (express company personnel, merchant customer service personnel and shipping warehouse customer service personnel) of the waybill to remind timely collection of the waybill. Thus, online and automatic parcel collection early warning is achieved, manual query and judgment are not needed, the processing efficiency is improved, the labor cost is saved, and meanwhile the situation that due to the fact that the workload of manual judgment is large and early warning cannot be made in time, a merchant is fined, a consumer returns goods, and the benefits of the merchant are damaged is avoided.

Description

Technical Field

[0001] This application relates to the technical field of logistics monitoring and management, and particularly relates to a pick-up warning method based on waybill trajectory recognition, a logistics management system, and a storage medium. Background Art

[0002] Online shopping is a shopping method favored by consumers. With the popularity of online shopping, major online shopping platforms have emerged, such as JD.com, Taobao, Pinduoduo, etc. Many merchant stores have settled on these shopping platforms for consumers to choose the goods they need. To improve the shopping experience of consumers on the shopping platform and enable consumers to quickly receive the goods they selected on the shopping platform to avoid returns, the shopping platform requires that the delivery speed of the settled merchants meet the platform specifications. If it exceeds the time limit, the shopping platform will fine the merchants.

[0003] Whether the goods ordered by consumers are picked up by the courier within the time specified by the shopping platform is a merchant assessment indicator in the shopping platform specifications. In the prior art, the usual processing method is that merchant customer service or warehouse customer service, based on their understanding of the logistics industry, check one by one according to the waybill numbers, manually query and judge whether the express items are picked up or not picked up overdue. In this way, the workload is large, the speed is slow, and the efficiency is low. It is impossible to give a pick-up warning in time, resulting in an increase in the situation of not picking up overdue, leading to low efficiency of merchant logistics management and being fined by the shopping platform. At the same time, it will also result in a poor shopping experience for consumers, increasing the probability of consumer returns, and increasing the shipping costs of merchants. Summary of the Invention

[0004] This application provides a pick-up warning method based on waybill trajectory recognition, a logistics management system, and a storage medium to solve the problems in the prior art that manual judgment of whether an express item is picked up has a large workload and low efficiency, resulting in merchants on the shopping platform being fined, and increasing the probability of consumer returns, thus increasing the shipping costs of merchants.

[0005] In the first aspect, this application provides a pick-up warning method based on waybill trajectory recognition, including:

[0006] Obtain the waybill data uploaded by the merchant, where the waybill data includes: waybill number, payment time of the sales order corresponding to the waybill number, the carrier express company, and store information;

[0007] Determine the shopping platform to which the sales order corresponding to the waybill number belongs according to the store information;

[0008] Obtain the preset pick-up monitoring information of the shopping platform, where the preset pick-up monitoring information includes pick-up warning configuration information, and the pick-up warning configuration information includes pick-up warning time limit;

[0009] Monitor whether the current time reaches the pick-up warning time limit;

[0010] If it reaches, search for logistics data according to the waybill number and the carrier express company to determine the corresponding waybill track data;

[0011] Identify the waybill track data, determine the waybill pick-up situation according to the identification result and send the corresponding warning information.

[0012] Further, the identifying the waybill track data, determining the waybill pick-up situation according to the identification result and sending the corresponding warning information includes:

[0013] According to the generation time of the waybill track data, read the logistics data records corresponding to each time point in turn starting from the earliest time;

[0014] If the logistics data record corresponding to the preset rule is read, it is determined that the corresponding waybill has been picked up, where the preset rule is that the preset operation flow node in the waybill track data indicates that the express has been picked up;

[0015] If the logistics data record corresponding to the preset rule is not read, it is determined that the corresponding waybill has not been picked up, and a warning information is sent to the relevant personnel to remind them to pick up in time, where the relevant personnel include at least one of the express company personnel, the merchant customer service personnel and the shipping warehouse customer service personnel.

[0016] Further, the identifying the waybill track data, determining the waybill pick-up situation according to the identification result and sending the corresponding warning information further includes:

[0017] According to the generation time of the waybill track data, read the logistics data records corresponding to each time point in turn starting from the earliest time and perform character recognition;

[0018] If the character recognition result meets the preset character requirements, it is determined that the corresponding waybill has been picked up;

[0019] If the character recognition result does not meet the preset character requirements, it is determined that the corresponding waybill has not been picked up, and a warning information is sent to the relevant personnel to remind them to pick up in time, where the relevant personnel include at least one of the express company personnel, the merchant customer service personnel and the shipping warehouse customer service personnel.

[0020] Further, the identifying the waybill track data, determining the waybill pick-up situation according to the identification result and sending the corresponding warning information further includes:

[0021] According to the generation time of the waybill track data, read the logistics data records corresponding to each time point in turn starting from the earliest time;

[0022] If it is impossible to determine whether the corresponding waybill has been picked up according to the analysis result of the logistics data record, the waybill number corresponding to the waybill track data is identified, and information that needs to be manually identified is sent to remind the merchant customer service personnel or the customer service personnel of the shipping warehouse to make a manual determination.

[0023] Further, the pick-up warning configuration information is information manually pre-stored by merchants on the shopping platform based on a visual configuration page. Among them, the pick-up warning time limit indicates whether the current time reaches the preset pick-up warning time.

[0024] Further, monitoring whether the current time reaches the pick-up warning time limit includes:

[0025] Obtain the current time, and calculate the time difference between the current time and the payment time of the sales order;

[0026] Compare the time difference with a first preset time;

[0027] If the time difference is greater than or equal to the first preset time, it is determined that the current time reaches the pick-up warning time limit.

[0028] Further, the preset pick-up monitoring information further includes pick-up timeout configuration information. The pick-up timeout configuration information is information manually pre-stored by merchants on the shopping platform based on a visual configuration page. Among them, the pick-up timeout configuration information includes: if the time difference between the current time and the payment time of the sales order is greater than or equal to a second preset time, it indicates that the waybill corresponding to the waybill number is not picked up after the timeout. The second preset time is longer than the first preset time.

[0029] Further, both the pick-up warning configuration information and the pick-up timeout configuration information are distinguished between daily configuration and special configuration. And the first preset time and the second preset time in the special configuration are both longer than the first preset time and the second preset time in the daily configuration. Among them, the special configuration is the configuration rule when the payment time of the sales order is in a special period. The special period at least includes: the first special period stipulated by laws and regulations and the second special period agreed in the contract. The first special period includes but is not limited to periods during public security events or major social activities. The second special period includes but is not limited to periods during large-scale promotional activities publicly announced by e-commerce platforms or merchants.

[0030] In a second aspect, the present application provides a logistics management system. The logistics management system aggregates data of multiple logistics companies, data of multiple merchant shipping warehouses, and data of multiple shopping platform merchants, including:

[0031] A first acquisition module, configured to acquire waybill data uploaded by a merchant, where the waybill data includes: a waybill number, the payment time of the sales order corresponding to the waybill number, the carrier express company, and store information;

[0032] A first determination module, configured to determine the shopping platform to which the sales order corresponding to the waybill number belongs according to the store information;

[0033] A second acquisition module, configured to acquire preset pickup monitoring information of the shopping platform, where the preset pickup monitoring information includes pickup warning configuration information, and the pickup warning configuration information includes a pickup warning time limit;

[0034] A monitoring module, configured to monitor whether the current time reaches the pickup warning time limit;

[0035] A second determination module, configured to, if it reaches, search for logistics data according to the waybill number and the carrier express company to determine corresponding waybill track data;

[0036] An identification and warning module, configured to identify the waybill track data, determine the waybill pickup situation according to the identification result, and send a corresponding warning message.

[0037] In a third aspect, the present application further provides a computer storage medium storing computer-executable instructions for executing the pickup warning method based on waybill track identification according to the present application.

[0038] The present application provides a pickup warning method based on waybill track identification and a logistics management system. By aggregating data of multiple logistics companies, data of multiple merchant shipping warehouses, and data of multiple shopping platform merchants, based on the pickup monitoring information pre-configured by the merchant, and by adopting a method of intelligently identifying waybill track data, it is then determined whether the corresponding waybill has been picked up or not picked up overdue according to the identification result of the waybill track data. Finally, for the waybill that has not been picked up, the system sends a warning message to the relevant personnel of the waybill (express company personnel, merchant customer service personnel, and shipping warehouse customer service personnel) to remind them to pick up the goods in time. In this way, online and automated pickup warning is realized, without manual query and judgment, which not only improves the processing efficiency, saves labor costs, but also avoids the situation where merchants are fined and consumers return goods due to the large workload of manual judgment and the inability to make timely warnings, resulting in damage to the interests of merchants. Description of the Drawings

[0039] The drawings here are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present invention, and are used together with the specification to explain the principles of the present invention.

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0041] One or more embodiments are illustrated by way of example in the pictures in the corresponding accompanying drawings. These exemplary illustrations do not limit the embodiments. Elements with the same reference numerals in the drawings represent similar elements. Unless otherwise stated, the drawings in the figures do not constitute a scale limitation.

[0042] Figure 1 It is a flowchart of a pick-up warning method based on waybill trajectory recognition provided by an embodiment of the present application;

[0043] Figure 2 It is an interface configuration diagram of preset pick-up monitoring information provided by an embodiment of the present application;

[0044] Figure 3 It is a module flowchart of a logistics management system provided by an embodiment of the present application. Detailed implementation manners

[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts belong to the scope of protection of the present application.

[0046] The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, the components and settings of specific examples are described below. Of course, they are only examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numerals and / or letters in different examples. This repetition is for the purpose of simplification and clarity and does not itself indicate the relationship between the various embodiments and / or settings discussed.

[0047] In the prior art, merchant customer service or warehouse customer service, based on their understanding of the logistics industry, check one by one according to the waybill number, manually query and judge whether the express item has been picked up or whether it has exceeded the time limit without being picked up. The workload is large, the speed is slow and the efficiency is low, which results in fines for merchants on the shopping platform and an increase in the probability of consumers returning goods, thus increasing the shipping costs of merchants. To solve this problem, the present application provides a pick-up warning method and a logistics management system based on waybill track recognition. By aggregating data of multiple logistics companies, data of multiple merchant shipping warehouses, and data of multiple shopping platform merchants, based on the pick-up monitoring information pre-configured by merchants, and by using the method of intelligently identifying waybill track data, and then judging whether the corresponding waybill has been picked up or has exceeded the time limit without being picked up according to the recognition result of the waybill track data. Finally, for the waybills that have not been picked up, the system sends warning messages to the relevant personnel of the waybill (express company personnel, merchant customer service personnel, and shipping warehouse customer service personnel) to remind them to pick up the goods in time. In this way, online and automated pick-up warning and warning for exceeding the time limit without being picked up are realized, without manual query and judgment, which not only improves the processing efficiency, saves labor costs, but also avoids the situation that merchants are fined and consumers return goods due to the large workload of manual judgment and the failure to give warnings in time, resulting in damage to the interests of merchants.

[0048] Figure 1 A pick-up warning method based on waybill track recognition provided by an embodiment of the present application, the method includes:

[0049] S101. Obtain the waybill data uploaded by the merchant, where the waybill data includes: waybill number, payment time of the sales order corresponding to the waybill number, the carrier express company, and store information;

[0050] S102. Determine the shopping platform to which the sales order corresponding to the waybill number belongs according to the store information;

[0051] In an embodiment of the present application, as a platform software, the logistics management system aggregates data of multiple logistics companies, data of multiple merchant shipping warehouses, and data of multiple shopping platform merchants, and has the functions of waybill track data recognition, pick-up warning, and monitoring for exceeding the time limit without being picked up. Correspondingly, a pick-up warning method based on waybill track recognition running in the logistics management system also has the functions of waybill track data recognition, pick-up warning, and monitoring for exceeding the time limit without being picked up.

[0052] It should be noted that in the embodiments of the present application, the shopping platform refers to online shopping platforms such as Taobao, JD.com, and Pinduoduo, and the merchants refer to the sellers who have settled in these online shopping platforms, such as L'Oréal, Nike, etc. The waybill data refers to the data information corresponding to the waybill generated by the merchant delivering the goods to the express company and the express company carrying the goods, specifically including: the waybill number, the payment time of the sales order corresponding to the waybill number, the carrier express company, the store information, and the shipping warehouse address. In one embodiment, the waybill data uploaded by the merchant to the logistics management system is first obtained, and then the shopping platform to which the sales order corresponding to this waybill data belongs is determined through the store information in the waybill data.

[0053] S103. Obtain the preset pickup monitoring information of the shopping platform, where the preset pickup monitoring information includes pickup warning configuration information, and the pickup warning configuration information includes a pickup warning time limit.

[0054] S104. Monitor whether the current time reaches the pickup warning time limit.

[0055] S105. If it reaches, search for logistics data according to the waybill number and the carrier express company to determine the corresponding waybill track data.

[0056] In the embodiments of the present application, the logistics management system has a visual configuration page to provide merchants on the shopping platform for page configuration to pre-configure the pickup monitoring information. That is to say, the preset pickup monitoring information can be manually configured by the managers of stores on major shopping platforms. In one embodiment, the preset pickup monitoring information includes pickup warning configuration information, where the pickup warning configuration information includes a pickup warning time limit, which is used to indicate whether the current time reaches the preset pickup warning time. Specifically, see Figure 2 , taking non-remote areas as an example: "When the time limit ≥ 36H, it is marked as a warning". The corresponding configuration item for this is: "When the time difference between the current time and the payment time of the sales order ≥ 36H, the system generates a pickup warning". Here, 36H is the time manually configured by the merchant and is also the first preset time in the embodiments of the present application. It should be noted that there is corresponding pickup warning configuration information for different shopping platforms in the present application. That is to say, if a merchant has settled in multiple shopping platforms, the merchant needs to manually configure the corresponding pickup warning configuration information for each settled shopping platform.

[0057] Further, the pick-up warning configuration information is divided into daily configuration and special configuration, and the first preset time in the special configuration is longer than the first preset time in the daily configuration. The special configuration is the configuration rule for the payment time of the sales order during a special period, where the special period includes at least: the first special period stipulated by laws and regulations and the second special period agreed in the contract. The first special period includes, but is not limited to, public safety events or major social activities, such as during major disaster events. The second special period includes, but is not limited to, large-scale promotional activities publicly announced by e-commerce platforms or merchants, such as during major promotion events. It can be understood that since these special periods will cause the logistics speed to slow down, the first preset time in the corresponding configuration item is longer than the first preset time in the daily configuration. In this way, the force majeure factors affecting the logistics speed are taken into account to enrich the pick-up warning configuration information, making the pick-up warning of this application more applicable and more friendly to the merchants on the shopping platform, and enhancing the stickiness between the shopping platform and the merchants.

[0058] In addition, as Figure 2 shown, the pick-up warning configuration information is divided into a remote area configuration item and a non-remote area configuration item according to the delivery address, and the corresponding first preset times for both are different. This is because the logistics speeds in remote areas and non-remote areas are different, so different monitoring intensities are adopted. In this way, by configuring different first preset times for remote areas and non-remote areas to generate different pick-up warning time limits, the interests of merchants can be better protected.

[0059] Therefore, after querying the shopping platform to which the sales order corresponding to the waybill data belongs as described above, obtain the pick-up warning configuration information of this shopping platform (such as: Tmall) from the backend. Further, obtain the current time, and calculate the time difference between the current time and the payment time of the sales order. Compare this time difference with the first preset time. If the time difference is greater than or equal to the first preset time, it is determined that the current time has reached the pick-up warning time limit, that is, this sales order is about to reach the pick-up time, and relevant personnel need to be reminded to pick up the goods in time to avoid overtime. At this time, it is necessary to search for the logistics data in the logistics management system according to the waybill number and the carrier express company to determine the corresponding waybill track data. It can be understood that the waybill track data corresponding to this sales order is found. It should be noted that a sales order refers to a purchase order generated after a consumer pays and places an order, and a waybill refers to the logistics waybill generated after the item corresponding to this sales order is delivered to the express company for carriage.

[0060] S106. Identify the waybill track data, determine the waybill pick-up situation according to the identification result, and send the corresponding warning information.

[0061] In the embodiments of the present application, since the logistics management system aggregates data of multiple logistics companies, the trajectory data of each logistics company is different, and the identification information generated for the express parcels that have been picked up is also different. Therefore, the present application summarizes the characteristics of the trajectory data of each logistics company, and the identification of the trajectory data includes the following situations:

[0062] I. No trajectory data record is generated

[0063] Specifically, when the logistics management system monitors that the current time reaches the pick-up warning time limit, that is, the time interval between the current time and the payment time of the sales order is equal to the first preset time, interpret the waybill trajectory data determined in the foregoing steps. If no trajectory data record is found, it means that the waybill has not been processed and not picked up. The system sends a warning message to relevant personnel to remind them to pick up the goods in time. Among them, the relevant personnel include at least one of the express company personnel, merchant customer service personnel, and shipping warehouse customer service personnel.

[0064] In one embodiment, if the logistics management system stores the phone number of the express delivery network point corresponding to the order, the system automatically initiates a call. If the system fails to query the corresponding phone number of the express delivery network point, a warning message is sent to the merchant customer service personnel or the shipping warehouse customer service personnel.

[0065] II. Trajectory data records are generated (including 3 cases)

[0066] Case 1: According to the generation time of the waybill trajectory data, read the logistics data records corresponding to each time point in sequence starting from the earliest time. If the logistics data record corresponding to the preset rule is read, it is determined that the corresponding waybill has been picked up. Among them, the preset rule is that the preset operation flow node in the waybill trajectory data indicates that the express has been picked up;

[0067] If the logistics data record corresponding to the preset rule is not read, it is determined that the corresponding waybill has not been picked up, and a warning message is sent to relevant personnel to remind them to pick up the goods in time. Among them, the relevant personnel include at least one of the express company personnel, merchant customer service personnel, and shipping warehouse customer service personnel.

[0068] This case corresponds to: The express company has its own operation flow, that is, the express company clearly specifies what each step of the waybill logistics process is, and also clearly specifies which node of the operation flow is the pick-up operation. At this time, it is necessary to identify according to the operation flow node identifier and status in the waybill trajectory data.

[0069] Exemplarily, for example, if there are 2 data records in the waybill trajectory data, but the third data record that meets the preset rule is not reached (the third data record node in the preset rule is set as the pick-up operation), then it is determined that the goods have not been picked up at this time.

[0070] Category 2: According to the generation time of the waybill track data, read the logistics data records corresponding to each time point in sequence starting from the earliest time and perform character recognition. If the character recognition result meets the preset character requirements, it is determined that the corresponding waybill has been picked up;

[0071] If the character recognition result does not meet the preset character requirements, it is determined that the corresponding waybill has not been picked up, and a warning message is sent to the relevant personnel to remind them to pick up the goods in time. Among them, the relevant personnel include at least one of the express company personnel, merchant customer service personnel, and shipping warehouse customer service personnel.

[0072] This type of situation corresponds to: The express company does not have its own operation process. At this time, keywords in the waybill track data need to be extracted and character recognition is performed. If words indicating that the pick-up operation has been completed, such as "already picked up", "already received", "already collected", etc., are recognized, it is determined that the corresponding waybill has been picked up.

[0073] Category 3: According to the generation time of the waybill track data, read the logistics data records corresponding to each time point in sequence starting from the earliest time. If it is impossible to determine whether the corresponding waybill has been picked up based on the analysis result of the logistics data record, mark the waybill number corresponding to the waybill track data and send information that requires manual recognition to remind the merchant customer service personnel or the shipping warehouse customer service personnel to make a manual determination.

[0074] This type of situation corresponds to: It is impossible to determine whether the corresponding waybill has been picked up through intelligent recognition of the waybill track data. At this time, manual determination is required to avoid system determination errors. In this way, most waybills can be intelligently recognized for waybill track data, and only a very small number of waybills need to be manually verified again, which also improves the work efficiency as a whole.

[0075] In the embodiments of the present application, in addition to implementing the function of pick-up warning, the function of pick-up timeout alarm is also implemented. Specifically:

[0076] The preset pick-up monitoring information also includes pick-up timeout configuration information, which is information manually pre-stored by merchants on the shopping platform based on the visual configuration page. Among them, the pick-up timeout configuration information includes: If the time difference between the current time and the payment time of the sales order is greater than or equal to the second preset time, it indicates that the waybill corresponding to this waybill number is not picked up within the timeout period. The second preset time is longer than the first preset time. Exemplarily, see Figure 2, taking non-remote areas as an example: "When the validity period is ≥ 48H, mark it as timeout". The configuration item corresponds to: "When the time difference between the current time and the payment time of the sales order is ≥ 48H, the system generates a collection timeout alarm message". Here, 48H is the time manually configured by the merchant, and it is also the second preset time in the embodiment of the present application. It should be noted that different shopping platforms in the present application have corresponding collection timeout configuration information. That is to say, if the merchant has settled in multiple shopping platforms, it is necessary to manually configure the corresponding collection timeout configuration information for each shopping platform.

[0077] Furthermore, the timeout configuration information for pickup also distinguishes between daily configuration and special configuration, and the second preset time in the special configuration is longer than the second preset time in the daily configuration, wherein the special configuration is a configuration rule for the payment time of the sales order in a special period, and the special period here at least includes: the period when the shopping platform or merchant carries out a big promotion and the period of a major disaster event. It can be understood that since these special periods will cause the logistics speed to slow down, the second preset time in the corresponding configuration item is longer than the second preset time of the daily configuration. In this way, the force majeure factors that affect the logistics speed are taken into account to enrich the timeout configuration information for pickup, better match merchants and shopping platforms, and make the applicability of this application wider to meet different business scenarios.

[0078] In addition, if Figure 2 As shown, similar to the pickup warning configuration information, the pickup timeout configuration information distinguishes between remote area configuration items and non-remote area configuration items according to the delivery address, and the second preset time corresponding to the two is also different. It should be noted that the pickup timeout alarm in this application is a severe alarm message issued for waybills that have exceeded the pickup time specified by each shopping platform in the logistics management system. In this way, for those waybills that have not been picked up after the pickup time has passed, summary information is generated and sent to relevant personnel (at least including: courier company personnel, merchant customer service personnel, and shipping warehouse customer service personnel), informing them to handle it as soon as possible to avoid refunds due to consumers not receiving items for a long time.

[0079] In the embodiment of the present application, a logistics management system is provided which aggregates data from multiple logistics companies, data from multiple merchant shipping warehouses, and data from multiple shopping platform merchants, and a method for early warning of pickup based on waybill track identification is run in the system. Based on pre-configured pickup monitoring information and the use of intelligent identification of waybill track data, online and automated early warning of pickup and alarm of overdue pickup are realized without manual query and judgment. This improves processing efficiency and saves labor costs, while also avoiding the situation in which merchants are fined and consumers return goods due to the large workload of manual judgment and the inability to issue early warnings in a timely manner, thereby damaging the interests of merchants.

[0080] Further, such as Figure 3As shown in the figure, an embodiment of the present application provides a logistics management system. This logistics management system aggregates data of multiple logistics companies, data of multiple merchant shipping warehouses, and data of multiple shopping platform merchants, including:

[0081] A first acquisition module 301, configured to acquire waybill data uploaded by a merchant. Among them, the waybill data includes: waybill number, payment time of the sales order corresponding to the waybill number, the carrier express company, and store information;

[0082] A first determination module 302, configured to determine the shopping platform to which the sales order corresponding to the waybill number belongs according to the store information;

[0083] A second acquisition module 303, configured to acquire preset pickup monitoring information of the shopping platform. Among them, the preset pickup monitoring information includes pickup warning configuration information, and the pickup warning configuration information includes pickup warning time limit;

[0084] A monitoring module 304, configured to monitor whether the current time reaches the pickup warning time limit;

[0085] A second determination module 305, configured to if it reaches, search for logistics data according to the waybill number and the carrier express company to determine the corresponding waybill track data;

[0086] An identification and warning module 306, configured to identify the waybill track data, determine the waybill pickup situation according to the identification result, and send corresponding warning information.

[0087] The logistics management system in the embodiment of the present application is a system management platform software, which is composed of multiple software modules, docks with other systems (such as: systems of multiple express companies, software systems of multiple shopping platforms), and loads the technical features provided by any one of the foregoing method embodiments to realize a series of functions such as online automatic monitoring of waybills, logistics data query, waybill track data identification, sending warning information and alarm information.

[0088] The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it realizes the technical processing steps of the pickup warning method based on waybill track identification provided by any one of the foregoing method embodiments.

[0089] The above-described device / system embodiments are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0090] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution or the part that contributes to the related technology 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., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0091] It should be understood that the terms used herein are for the purpose of describing specific example embodiments only and are not intended to be limiting. Unless the context clearly indicates otherwise, as used herein, the singular forms "a", "an" and "the" may also include the plural forms. The terms "comprising", "including", "containing" and "having" are inclusive and thus specify the presence of the stated features, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring them to be performed in the particular order described or illustrated, unless the order of performance is explicitly stated. It should also be understood that additional or alternative steps may be used.

[0092] The above description is only the specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather will be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for early warning of shipment based on waybill trajectory recognition, characterized in that: The method comprises: Obtain the waybill data uploaded by the merchant, wherein the waybill data includes: the waybill number, the payment time of the sales order corresponding to the waybill number, the courier company and the store information; Determine the shopping platform to which the sales order corresponding to the waybill number belongs according to the store information; Acquire preset collection monitoring information of the shopping platform, wherein the preset collection monitoring information includes collection warning configuration information, and the collection warning configuration information includes collection warning time limit; Monitor whether the current time reaches the pickup warning time limit; If it is reached, the logistics data is searched according to the waybill number and the courier company to determine the corresponding waybill track data; Identify the waybill track data, determine the waybill collection status based on the identification result, and send corresponding warning information.

2. The method according to claim 1, characterized in that The identifying the waybill track data, determining the waybill collection status according to the identification result and sending corresponding warning information includes: According to the generation time of the waybill track data, the logistics data records corresponding to each time point are read in sequence starting from the earliest time; If the logistics data record corresponding to the preset rule is read, it is determined that the corresponding waybill has been picked up, wherein the preset rule is that a preset operation flow node in the waybill track data indicates that the courier has picked up the item; If the logistics data record corresponding to the preset rule is not read, it is determined that the corresponding waybill has not been picked up, and an early warning message is sent to relevant personnel to remind them to pick up the item in time, wherein the relevant personnel include at least one of the courier company personnel, the merchant customer service personnel and the shipping warehouse customer service personnel.

3. The method according to claim 1, characterized in that The identifying of the waybill track data, determining the waybill collection status according to the identification result and sending corresponding warning information also includes: According to the generation time of the waybill track data, the logistics data records corresponding to each time point are read in sequence starting from the earliest time and text recognition is performed; If the text recognition result meets the preset text requirements, it is determined that the corresponding waybill has been picked up; If the text recognition result does not meet the preset text requirements, it is determined that the corresponding waybill has not been picked up, and an early warning message is sent to relevant personnel to remind them to pick up the item in time, wherein the relevant personnel include at least one of the courier company personnel, the merchant customer service personnel and the shipping warehouse customer service personnel.

4. The method according to claim 1, characterized in that: The identifying of the waybill track data, determining the waybill collection status according to the identification result and sending corresponding warning information also includes: According to the generation time of the waybill track data, the logistics data records corresponding to each time point are read in sequence starting from the earliest time; If it is impossible to determine whether the corresponding waybill has been picked up based on the analysis results of the logistics data record, the waybill number corresponding to the waybill track data is identified, and information requiring manual identification is sent to remind the merchant customer service personnel or the shipping warehouse customer service personnel to make manual confirmation.

5. The method according to claim 1, characterized in that The pickup warning configuration information is information manually pre-stored by merchants on the shopping platform based on a visual configuration page, wherein the pickup warning time limit indicates whether the current time reaches the preset pickup warning time.

6. The method according to claim 5, characterized in that The monitoring of whether the current time reaches the pickup warning time limit includes: Obtain the current time, and calculate the time difference between the current time and the payment time of the sales order; Comparing the time difference with a first preset time; If the time difference is greater than or equal to the first preset time, it is determined that the current time reaches the collection warning time limit.

7. The method according to claim 6, characterized in that The preset collection monitoring information also includes collection timeout configuration information, which is information manually pre-stored by merchants on the shopping platform based on a visual configuration page, wherein the collection timeout configuration information includes: if the time difference between the current time and the payment time of the sales order is greater than or equal to a second preset time, it indicates that the waybill corresponding to the waybill number has timed out and has not been collected, and the second preset time is longer than the first preset time.

8. The method according to claim 7, characterized in that The pickup warning configuration information and the pickup timeout configuration information both distinguish between daily configuration and special configuration, and the first preset time and the second preset time in the special configuration are both longer than the first preset time and the second preset time in the daily configuration, wherein the special configuration is a configuration rule that the payment time of the sales order is in a special period, and the special period at least includes: a first special period prescribed by laws and regulations and a second special period agreed in the contract, wherein the first special period includes but is not limited to public safety incidents or major social activities, and the second special period includes but is not limited to large-scale promotional activities pre-announced by e-commerce platforms or merchants.

9. A logistics management system, characterized in that: The logistics management system aggregates data from multiple logistics companies, data from multiple merchant shipping warehouses, and data from multiple shopping platform merchants, including: The first acquisition module is used to acquire the waybill data uploaded by the merchant, wherein the waybill data includes: the waybill number, the payment time of the sales order corresponding to the waybill number, the carrier courier company and the store information; A first determination module is used to determine the shopping platform to which the sales order corresponding to the waybill number belongs according to the store information; A second acquisition module is used to acquire preset collection monitoring information of the shopping platform, wherein the preset collection monitoring information includes collection warning configuration information, and the collection warning configuration information includes collection warning time limit; A monitoring module is used to monitor whether the current time reaches the collection warning time limit; A second determination module is used to search the logistics data according to the waybill number and the carrier courier company to determine the corresponding waybill track data if the waybill number is reached; The identification and warning module is used to identify the waybill trajectory data, determine the waybill collection status according to the identification result and send corresponding warning information.

10. A storage medium, characterized in that: Computer executable instructions are stored, and the computer executable instructions are used to execute the method according to any one of claims 1 to 8.

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