Cross-border logistics tail-process service provider order distribution system and cross-border logistics tail-process service provider order distribution method

Abstract

The invention discloses a cross-border logistics tail-range service provider order distribution system and method. The cross-border logistics tail-range service provider order distribution system comprises a data acquisition and classification module used for periodically acquiring and storing information of tail-range service providers; the information receiving and storing module is used for receiving customer order information and performing data cleaning on the customer order information to generate first order information; the preliminary screening module is used for preliminarily screening the tail service providers; the final screening module is used for defining a plurality of indexes, setting weights corresponding to the indexes and screening out tail-range service providers for order distribution; and the information sending module is used for carrying out data cleaning on the first order information to obtain second order information and sending the second order information to the tail service provider of the distributed order. According to the method and the device, the order distribution accuracy of the tail-stroke service provider is ensured, the efficiency and the accuracy of cross-border logistics are improved, the enterprise cost is reduced, seamless connection of different information systems in the cross-border logistics is realized, and the timeliness and the accuracy of information updating are ensured.

Description

Technical Field

[0001] The present invention relates to the field of cross-border logistics technology, and in particular to a cross-border logistics last-mile service provider order splitting system and method. Background Art

[0002] Cross-border logistics refers to logistics activities between different countries or regions. With the vigorous development of international trade and cross-border e-commerce, cross-border logistics plays a vital role in many fields such as global trade and economic development. In cross-border logistics, the selection of the last-mile service provider in the destination country is crucial, which directly affects whether the goods can be delivered to customers accurately and timely. When cross-border logistics companies select the last-mile service provider in the destination country, they mostly manually select the last-mile service provider based on the company's historical information and previous shipping experience. However, different users have different requirements for orders. Some have high requirements for timeliness, while others have high requirements for transportation costs. In addition, the logistics information of the last-mile service provider often changes according to the date and policy. The existing cross-border logistics last-mile service provider order splitting method cannot take into account the real-time service information and transportation information of the last-mile service provider, and thus cannot conduct data-based, precise and systematic analysis of the corresponding logistics capacity dispatching capabilities of the last-mile service provider, resulting in the inability to select the optimal last-mile service provider, further reducing the efficiency and accuracy of cross-border logistics, and cannot well control the cross-border logistics transportation costs, which directly affects the user satisfaction.

[0003] At the same time, cross-border logistics involves multiple links and logistics service providers in multiple countries, and it is difficult to track and integrate logistics information. Users, cross-border logistics providers, and last-mile service providers may use different information systems, making it difficult to achieve seamless docking and real-time information sharing throughout the entire process. This results in users and cross-border logistics providers encountering problems such as untimely and inaccurate information updates when inquiring about the status of goods. Summary of the invention

[0004] In view of the defects existing in the prior art, the present application provides a cross-border logistics last-mile service provider order splitting system and method to solve the problems raised by the above background technology.

[0005] In order to achieve the purpose of the above invention, the technical solution provided by the present invention is as follows:

[0006] A cross-border logistics last-mile service provider order splitting system, comprising a data collection and classification module, an information receiving and storage module, a preliminary screening module, a final screening module and an information sending module;

[0007] The data collection module is used to periodically collect information of the domestic last-mile service providers;

[0008] The information receiving and storing module is used to receive customer order information, perform data cleaning on the customer order information to generate first order information that meets the standards of cross-border logistics providers, and store the first order information;

[0009] The preliminary screening module is used to determine the type of logistics service products required for customer orders based on the information collected by the data collection module, provide different last-mile service provider candidates for different logistics service products, and conduct preliminary screening of last-mile service providers;

[0010] The final screening module is used to define multiple indicators and set the weights corresponding to the indicators of each preliminary screened last-mile service provider, calculate the comprehensive score of each last-mile service provider, the comprehensive score is the sum of the products of each indicator multiplied by the corresponding weight, and finally screen out the last-mile service provider with the highest comprehensive score as the last-mile service provider for the order, wherein the weight changes accordingly according to the information collected by the data collection module;

[0011] The information sending module is used to clean and assemble the first order information into second order information that meets the requirements of the last-mile service provider of the divided order, and send the second order information to the last-mile service provider of the divided order.

[0012] In one implementation, the data collection module collects information about the last-mile service providers in the destination country at intervals of twelve hours, and the information receiving and storing module stores data in the form of KEY-VALUE.

[0013] In one embodiment, the first order information and the second order information are both API data.

[0014] In one implementation scheme, cross-border logistics providers classify logistics service products into International Universal, International Standard Express, International Express and International Small Parcel, wherein International Universal refers to a logistics service with a low price and a slow transportation speed, International Standard Express refers to a logistics service with a price slightly higher than International Universal and a moderate transportation speed, International Express refers to a logistics service with a relatively low price and a fast transportation speed, and International Small Parcel refers to a logistics service with a light weight, small size and a slow transportation speed.

[0015] In one embodiment, the indicators include profit, timeliness, loss, carrying capacity, service capacity, delivery rate, damage rate, and loss rate.

[0016] In one implementation scheme, the parcels transported by the last-mile service provider are divided into standard collection, remote collection and peak collection. The standard collection means that the destination of the parcel in the first order information is an area where the transportation network of the last-mile service provider is relatively developed, and the parcel transportation time is the non-peak season time of the last-mile service provider; the remote collection means that the destination of the parcel in the first order information is in an area where the transportation network of the last-mile service provider is underdeveloped; the peak collection means that the parcel transportation time in the first order information is the peak season time of the last-mile service provider; in the final screening module, when the same last-mile service provider transports different types of parcels, the same indicator is set with different weights according to the type of parcel.

[0017] In one implementation, the second order information sent by the information sending module is synchronized to the Kafka message queue in OGG format and distributed to the last-mile service provider of the divided order through RocketMQ.

[0018] In one implementation, the information sending module needs to match the first order information with the preset routing information, and then clean the first order information and assemble it into the second order information. The preset routing information includes rule code, port information, destination province, city, destination postal code, and routing segment code information.

[0019] The present application also provides a method for splitting orders by a cross-border logistics last-mile service provider, comprising the following steps:

[0020] S1, periodically collect the information of the domestic final-mile service providers;

[0021] S2, receiving customer order information, performing data cleaning on the customer order information to generate first order information that meets the standards of cross-border logistics providers, and storing the first order information;

[0022] S3, based on the classification of logistics service products by cross-border logistics providers and the information collected in S1, provides different last-mile service provider candidates for different logistics service products, determines the type of logistics service products required for the customer's order based on the first order information, and conducts a preliminary screening of the last-mile service providers;

[0023] S4, define multiple indicators and set the weights corresponding to each indicator of each preliminarily screened last-mile service provider, calculate the comprehensive score of each last-mile service provider, the comprehensive score is the sum of the products of each indicator and the corresponding weight, and finally screen out the last-mile service provider with the highest comprehensive score as the last-mile service provider for the order, wherein the weight changes accordingly according to the information collected in S1;

[0024] S5, clean and assemble the first order information into second order information that meets the requirements of the last-mile service provider of the divided order, and send the second order information to the last-mile service provider of the divided order.

[0025] In one implementation, the above-mentioned cross-border logistics last-mile service provider order splitting system is adopted.

[0026] Compared with the prior art, this application has at least the following beneficial effects:

[0027] The present invention sets a data collection module that periodically collects information of last-mile service providers in the cross-border logistics last-mile service provider order splitting system, which can timely grasp the service information and transportation information of the last-mile service providers in the destination country; the cross-border logistics last-mile service provider order splitting system in this application also includes a preliminary screening module and a final screening module, which conducts two rounds of screening on the last-mile service providers, and the final screening module sets multiple indicators and the corresponding weights of each indicator, and selects the last-mile service providers with the highest comprehensive scores as the last-mile service providers for the split orders, and conducts digitized, precise and systematic analysis of the corresponding logistics capacity dispatching capabilities of the last-mile service providers to ensure the accuracy of the split orders. It improves the efficiency and accuracy of cross-border logistics, reduces at least 70% of the manpower and material resources invested in order processing by market operations, and greatly reduces enterprise costs;

[0028] This application first cleans the customer order information to generate the first order information that meets the standards of the cross-border logistics provider, and then cleans and assembles the first order information into the second order information that meets the requirements of the last-mile service provider of the divided order, thereby achieving seamless connection between different information systems in cross-border logistics and ensuring timely and accurate information updates. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a structural diagram of the order splitting system for the last-mile service provider of cross-border logistics in an embodiment of the present application;

[0030] Figure 2 This is a flow chart of the method for splitting orders by a last-mile service provider of cross-border logistics in an embodiment of the present application; DETAILED DESCRIPTION

[0031] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is described below by the specific embodiments shown in the accompanying drawings. However, it should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0032] The terms used in this disclosure are for the purpose of describing specific embodiments only and are not intended to limit the disclosure. The singular forms of "a", "said" and "the" used in this disclosure and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0033] It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms and should not be understood as indicating or implying relative importance. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0034] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a mechanical connection or the internal connection between two components. It can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to the specific circumstances.

[0035] In order to better understand the technical solution of the present invention, the present invention is described in detail below with reference to the accompanying drawings.

[0036] A cross-border logistics last-mile service provider order splitting system, comprising a data collection and classification module, an information receiving and storage module, a preliminary screening module, a final screening module and an information sending module;

[0037] The data collection module is used to periodically collect information about domestic last-mile service providers;

[0038] The information receiving and storing module is used to receive customer order information, perform data cleaning on the customer order information to generate first order information that meets the standards of cross-border logistics providers, and store the first order information;

[0039] The preliminary screening module is used to determine the type of logistics service products required for customer orders based on the information collected by the data collection module, provide different last-mile service provider candidates for different logistics service products, and conduct preliminary screening of last-mile service providers;

[0040] The final screening module is used to define multiple indicators and set the weights corresponding to each indicator of each final-mile service provider initially screened, calculate the comprehensive score of each final-mile service provider, and the comprehensive score is the sum of the products of each indicator multiplied by the corresponding weight. Finally, the final-mile service provider with the highest comprehensive score is selected as the final-mile service provider for the order, and the weight changes accordingly according to the information collected by the data collection module;

[0041] The information sending module is used to clean and assemble the first order information into second order information that meets the requirements of the last-mile service provider of the divided order, and send the second order information to the last-mile service provider of the divided order.

[0042] In order to timely track the real-time logistics information of the destination domestic final-leg service provider, the data collection module in this embodiment collects the information of the destination domestic final-leg service provider every twelve hours. In order to facilitate data transmission between customers, cross-border logistics companies and final-leg service providers, the first order information and the second order information are both API (Application Programming Interface) data.

[0043] Cross-border logistics companies classify logistics service products into International Preferred, International Standard Express, International Express and International Small Parcel. International Preferred refers to logistics services with low prices and slow transportation speeds. International Standard Express refers to logistics services with prices slightly higher than International Preferred and moderate transportation speeds. International Express refers to logistics services with low prices and high transportation speeds. International Small Parcel refers to logistics services with light weight, small size and slow transportation speeds.

[0044] The indicators include profit, timeliness, loss, carrying capacity, service capacity, delivery rate, damage rate, and loss rate. Because different last-mile logistics providers have different logistics capabilities, some last-mile logistics providers have low quotations, some have fast timeliness, and some have high delivery rates. Therefore, the final screening module needs to independently set the weights corresponding to each indicator of each last-mile logistics provider to increase the accuracy of order splitting.

[0045] Parcels transported by last-mile service providers are divided into standard pickup, remote pickup and peak pickup. Standard pickup means that the destination of the parcel in the first order information is in an area with a relatively developed transportation network of the last-mile service provider, and the parcel transportation time is during the non-peak season of the last-mile service provider. Remote pickup means that the destination of the parcel in the first order information is in an area with an underdeveloped transportation network of the last-mile service provider. Peak pickup means that the parcel transportation time in the first order information is during the peak season of the last-mile service provider. In the final screening module, when the same last-mile service provider transports different types of parcels, the same indicator is set with different weights according to the type of parcel.

[0046] The second order information sent by the information sending module is synchronized to the Kafka message queue in OGG format and distributed to the last-mile service provider of the order through RocketMQ, thereby reducing the requirements on server performance, isolating the coupling between different systems, and improving the fault tolerance between systems.

[0047] The information receiving storage module stores data in the form of KEY-VALUE, so that the information receiving storage module has efficient read and write performance, is simple and easy to use, has strong scalability, can be combined with memory cache for persistence, has low maintenance costs, and supports a variety of data types.

[0048] The information sending module needs to match the first order information with the preset routing information, and then clean the first order information and assemble it into the second order information. The preset routing information includes rule code, port information, destination province, city, destination postal code, and routing segment code information.

[0049] This embodiment also provides a method for splitting orders by a cross-border logistics last-mile service provider, including the following steps:

[0050] S1, periodically collect the information of the domestic final-mile service providers;

[0051] S2, receiving customer order information, performing data cleaning on the customer order information to generate first order information that meets the standards of cross-border logistics providers, and storing the first order information;

[0052] S3, based on the classification of logistics service products by cross-border logistics providers and the information collected in S1, provides different last-mile service provider candidates for different logistics service products, determines the type of logistics service products required for the customer's order based on the first order information, and conducts a preliminary screening of the last-mile service providers;

[0053] S4, define multiple indicators and set the weights corresponding to each indicator of each preliminarily screened last-mile service provider, calculate the comprehensive score of each last-mile service provider, the comprehensive score is the sum of the products of each indicator and the corresponding weight, and finally screen out the last-mile service provider with the highest comprehensive score as the last-mile service provider for the order, wherein the weight changes accordingly according to the information collected in S1;

[0054] S5, clean and assemble the first order information into second order information that meets the requirements of the last-mile service provider of the divided order, and send the second order information to the last-mile service provider of the divided order.

[0055] Taking the example of delivering a package from Shanghai, China to San Francisco, USA according to a customer order, the classification of logistics service products sold by cross-border logistics companies and the last-mile service provider candidates provided by cross-border logistics companies for different logistics service products are shown in Table 1. In this embodiment, the type of logistics service product required by the customer order is international Puhui.

[0056] Table 1 (covering the entire United States):

[0057] Product Definition describe Last-mile service provider 10001 International Inclusiveness A, B, C 10002 International Standard Express B, C, D 10003 International Express C, D, E 10004 International Parcel A, C, D

[0058] As can be seen from Table 1, the preliminary screening module preliminarily screens out three last-mile service provider candidates A, B, and C from the last-mile service providers in the United States.

[0059] The operating scopes of the three initial selected last-mile service provider candidates are shown in Table 2.

[0060] Table 2 (covering the entire United States):

[0061]

[0062]

[0063] The logistics parameters of the three last-mile service provider candidates are shown in Table 3.

[0064] Table 3 (Shanghai-San Francisco):

[0065]

[0066] For A, the delivery rate is 95%, the statistical sample is 1,000 express deliveries, the standard collection time is 2 days, the remote collection time is 4 days, and the peak collection time is 2 days. The logistics parameter lookup method of B and C last-mile service providers is similar to A, so I will not repeat it here. Among them, the delivery rate refers to the proportion of parcels signed for by the service provider that do not have warehouse or problem pieces or multiple deliveries to 1,000 signed tickets. The delivery rate is real-time statistical data; the collection time is the average number of tickets taken by different service providers based on the total time from the port collection scan to the final delivery scan according to the opened routes. This data is updated and calculated every T-1; the loss and damage is the proportion of damaged or lost parcels recorded in the last-mile service provider's work order to 1,000 signed tickets. This data is calculated in real time.

[0067] The quotations of the three candidate last-mile service providers are shown in Table 4.

[0068] Table 4 (Shanghai-San Francisco):

[0069] Service Provider Standard quotation MR Remote Additional LR Peak Additional FR A 100 30 40 B 110 10 50 C 115 10 30

[0070] In Table 4, for last-mile service provider A, the quotation for standard collection is 100, the quotation for remote collection is 100+30, and the quotation for peak collection is 100+40. The quotation techniques of last-mile service providers B and C are similar to those of A and will not be repeated here.

[0071] The operating indicators of cross-border logistics providers are shown in Table 5.

[0072] Table 5 (Shanghai-San Francisco):

[0073] Departure Purpose Comprehensive income R Comprehensive timeliness M Comprehensive loss N China - Shanghai USA - San Francisco 200 2 1.2

[0074] Different last-mile service providers may have different areas with developed transportation networks and different peak seasons for last-mile services, so the same package may belong to different types for different last-mile service providers. In this embodiment, the final screening module defines three indicators: profit, timeliness, and loss, and sets the weights corresponding to each indicator when each last-mile service provider transports different types of packages. The indicators of the three last-mile service providers and the corresponding weights of the indicators are shown in Table 6.

[0075] Table 6:

[0076]

[0077] In this embodiment, the delivery of a package from Shanghai, China to a customer order in San Francisco, USA is a remote pickup for A, a peak pickup for B, and a standard pickup for C. Combining Tables 2 to 6, the final screening module calculates the comprehensive scores of service providers A, B, and C. The comprehensive scores and rankings of the three last-mile service providers are shown in Table 7.

[0078] Table 7:

[0079] Service Provider <![CDATA[Composite score {x n *X n +y n *Y n +z n *Z n}]]> Ranking A 1.0227＝{(200 / 13 0)*20％+(2 / 4)*35％+(1.2 / 1)*45％} 2 B 0.585＝{(200 / 160)*10％+(2 / 5)*40％+(1.2 / 2)*50％} 3 C 3.295＝{(200 / 115)*40％+(2 / 3)*30％+(1.2 / 0.1)*20％} 1

[0080] Note: n = one of i, ii, iii

[0081] The final screening module calculates the comprehensive index scores of the three major last-mile service providers, and selects the last-mile service providers that better meet customer needs and have the lowest corporate risks. The comprehensive scores are: C>A>B. Finally, the last-mile service provider C with the highest comprehensive score is selected as the last-mile service provider for the assigned order.

[0082] In the entire cross-border logistics last-mile service provider order splitting method, the order fields in the customer order information include the port pickup method [self-pickup], delivery method [door-to-door delivery], package weight [B], weight unit [kg], package length [C], length unit [cm]. After two data cleanings and assembly in S2 and S5, the second order information that meets the requirements of the last-mile service provider of the split order is formed.

[0083] The second order information finally generated by the customer order information is as follows:

[0084] Port pickup method [self-pickup]: The condition group is "country of destination" and "last-mile service provider code" and "[port pickup method [self-pickup]]", and the data cleaning result of this item is the port pickup method [Port Pickup];

[0085] Delivery method [Door-to-Door Delivery]: The condition group is "Destination Country" and "Final Service Provider Code" and "[Delivery method [Door-to-Door Delivery]]", and the data cleaning result of this item is the delivery method [Door-to-Door Delivery];

[0086] Package weight [B], weight unit [kg]: The condition group is "destination country" and "last mile service provider code" and "package weight [B], weight unit [kg]". The cleansing result of this data is package weight [C], weight unit [lb];

[0087] Package length [C], length unit [cm]: The condition groups are "destination country" and "last mile service provider code" and "package length [C], length unit [cm]". The cleansing result of this data is package length [D], length unit [in].

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary technicians in the field should understand that the specific implementation methods of the invention can still be modified or some technical features can be replaced by equivalents without departing from the spirit of the technical solution of the present invention, which should be included in the scope of the technical solution for protection of the present invention.

Claims

1. A cross-border logistics last-mile service provider order splitting system, characterized in that: It includes a data collection and classification module, an information receiving and storage module, a preliminary screening module, a final screening module and an information sending module; The data collection module is used to periodically collect information of the domestic last-mile service providers; The information receiving and storing module is used to receive customer order information, perform data cleaning on the customer order information to generate first order information that meets the standards of cross-border logistics providers, and store the first order information; The preliminary screening module is used to determine the type of logistics service products required for customer orders based on the information collected by the data collection module, provide different last-mile service provider candidates for different logistics service products, and perform preliminary screening of last-mile service providers; The final screening module is used to define multiple indicators and set the weights corresponding to the indicators of each preliminary screened last-mile service provider, calculate the comprehensive score of each last-mile service provider, the comprehensive score is the sum of the products of each indicator multiplied by the corresponding weight, and finally screen out the last-mile service provider with the highest comprehensive score as the last-mile service provider for the order, wherein the weight changes accordingly according to the information collected by the data collection module; The information sending module is used to clean and assemble the first order information into second order information that meets the requirements of the last-mile service provider of the divided order, and send the second order information to the last-mile service provider of the divided order.

2. The cross-border logistics last-mile service provider order splitting system according to claim 1 is characterized in that: The data collection module collects information of the destination domestic last-mile service provider at intervals of twelve hours, and the information receiving storage module stores data in the form of KEY-VALUE.

3. The cross-border logistics last-mile service provider order splitting system according to claim 1 is characterized in that: The first order information and the second order information are both API data.

4. The cross-border logistics last-mile service provider order splitting system according to claim 1 is characterized in that: Cross-border logistics companies classify logistics service products into International Preferential, International Standard Express, International Express and International Small Parcel. International Preferential refers to logistics services with low prices and slow transportation speeds, International Standard Express refers to logistics services with prices slightly higher than International Preferential and moderate transportation speeds, International Express refers to logistics services with relatively low prices and fast transportation speeds, and International Small Parcel refers to logistics services with light weight, small size and slow transportation speeds.

5. The cross-border logistics last-mile service provider order splitting system according to claim 1 is characterized in that: The indicators include profit, timeliness, loss, carrying capacity, service capacity, delivery rate, damage rate and loss rate.

6. The cross-border logistics last-mile service provider order splitting system according to claim 1 is characterized in that: The parcels transported by the last-mile service provider are divided into standard collection, remote collection and peak collection. The standard collection means that the destination of the parcel in the first order information is an area with a relatively developed transportation network of the last-mile service provider, and the parcel transportation time is the non-peak season time of the last-mile service provider; the remote collection means that the destination of the parcel in the first order information is in an area with an underdeveloped transportation network of the last-mile service provider; the peak collection means that the parcel transportation time in the first order information is the peak season time of the last-mile service provider; in the final screening module, when the same last-mile service provider transports different types of parcels, the same indicator is set with different weights according to the type of parcel.

7. The cross-border logistics last-mile service provider order splitting system according to claim 1 is characterized in that: The second order information sent by the information sending module is synchronized to the Kafka message queue in OGG format and distributed to the last-mile service provider of the divided order through RocketMQ.

8. The cross-border logistics last-mile service provider order splitting system according to claim 1 is characterized in that: The information sending module needs to match the first order information with the preset routing information, and then clean the first order information and assemble it into the second order information. The preset routing information includes rule code, port information, destination province, city, destination postal code, and routing segment code information.

9. A method for splitting orders by a cross-border logistics last-mile service provider, characterized in that: The following steps are involved: S1, periodically collect the information of the domestic final-mile service providers; S2, receiving customer order information, performing data cleaning on the customer order information to generate first order information that meets the standards of cross-border logistics providers, and storing the first order information; S3, based on the classification of logistics service products by cross-border logistics providers and the information collected in S1, provides different last-mile service provider candidates for different logistics service products, determines the type of logistics service products required for the customer's order based on the first order information, and conducts a preliminary screening of the last-mile service providers; S4, define multiple indicators and set the weights corresponding to each indicator of each preliminarily screened last-mile service provider, calculate the comprehensive score of each last-mile service provider, the comprehensive score is the sum of the products of each indicator and the corresponding weight, and finally screen out the last-mile service provider with the highest comprehensive score as the last-mile service provider for the order, wherein the weight changes accordingly according to the information collected in S1; S5, clean and assemble the first order information into second order information that meets the requirements of the last-mile service provider of the divided order, and send the second order information to the last-mile service provider of the divided order.

10. The method for splitting orders by a last-mile service provider of cross-border logistics according to claim 9, characterized in that: A cross-border logistics last-mile service provider order splitting system as described in any one of claims 1 to 8 is adopted.

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