Data processing method and device for order delivery management

Abstract

The invention discloses a data processing method and device for order delivery management. The method comprises the steps of obtaining to-be-processed order data, wherein the to-be-processed order data comprises order address data and order commodity data; according to the order address data and the order commodity data, order pre-distribution processing is carried out on a to-be-delivered order to obtain order pre-distribution data, the order pre-distribution data comprises first order pre-distribution data, and the first order pre-distribution data is used for representing data of a first order delivery mode; and after the settlement of the order is completed, performing order allocation processing based on an order allocation model and historical delivery orders on the first order pre-allocation data to obtain order delivery data, thereby realizing delivery of the to-be-delivered order according to the order delivery data. According to the invention, the distribution mode of the order is determined by pre-distributing the order, the order distribution is carried out according to the order feature including the order distance, and the distribution data of the order is determined according to the distribution data of the historical order, so that the adaptability and efficiency of the order distribution scheme are improved.

Description

Technical Field

[0001] This application relates to the field of computers, and specifically, to a data processing method and device for order delivery management. Background Art

[0002] With the continuous development of Internet technology, the gradual development and expansion of online shopping. For some merchants operating online trading businesses, different distances of orders correspond to different choices of delivery methods. When online mall users are doing business within the same city, there will be corresponding cross-regional and over-distance orders. Merchants cannot use a single delivery plan and need to combine multiple delivery plans.

[0003] Therefore, in view of the above problems existing in the merchant order delivery, this application is proposed. Summary of the Invention

[0004] The main purpose of this application is to provide a data processing method and device for order delivery management, so as to solve the technical problem of how to improve the diversification and efficiency of order delivery in the prior art, and achieve the technical effect of improving the diversification and efficiency of order delivery.

[0005] To achieve the above object, in the first aspect of this application, a data processing method for order delivery management is proposed, including:

[0006] Obtain the order data to be processed, where the order data to be processed is data used to represent the order to be delivered, and the order data to be processed includes order address data and order commodity data;

[0007] Perform pre-splitting processing on the order to be delivered according to the order address data and the order commodity data to obtain pre-splitting data, where the pre-splitting data includes first pre-splitting data, and the first pre-splitting data is data used to represent the first order delivery method;

[0008] When the order is settled, perform order allocation processing on the first pre-splitting data based on the order allocation model and historical delivery orders to obtain order delivery data, so as to realize the delivery of the order to be delivered according to the order delivery data.

[0009] Further, when the order is settled, performing order allocation processing on the first pre-splitting data based on the order allocation model and historical delivery order data includes:

[0010] Perform first allocation processing on the first pre-splitting data based on order characteristics and delivery characteristics to obtain first process order delivery data, where the first process order data is order delivery data used to represent the order generated according to the order allocation model;

[0011] Perform a second allocation process on the first pre-allocation order data based on historical delivery order matching to obtain the second process order delivery data;

[0012] Generate the order delivery data according to the first process order delivery data and the second order delivery data.

[0013] Furthermore, performing a first allocation process on the first pre-allocation order data based on order characteristics and delivery characteristics to obtain the first process order delivery data includes:

[0014] Perform an extraction process on the first pre-order data based on order characteristics to obtain distance feature data, user feature data, and economic feature data, where the distance feature data is feature data used to represent the distance between the commodity address and the user's order placement address, the user feature data is feature data used to represent the user's delivery preference, and the economic feature data is feature data used to represent the delivery cost;

[0015] Traverse multiple delivery information pools, match the delivery information corresponding to the distance feature, and obtain allocable data, where the allocable data is data for a delivery plan that can execute the first pre-order delivery task;

[0016] Perform a feature update process on the distance feature data, the user feature data, and the economic feature data based on the allocable data to obtain updated order feature data, where the updated order feature data includes updated distance feature data, updated user feature data, and updated economic feature data;

[0017] Perform a delivery screening process on the allocable data based on the updated order characteristics to obtain the first process order delivery data.

[0018] Furthermore, performing a second allocation process on the first pre-allocation order data based on historical delivery order matching to obtain the second process order delivery data includes:

[0019] Perform a historical order matching process on the first pre-allocation order data based on the order location characteristics to obtain historical order data, where the historical order data is data for the historical order in the preset historical order database that has the highest similarity to the order location characteristics of the first pre-allocation order data;

[0020] Perform an extraction process on the historical delivery order data based on order characteristics to obtain historical order delivery feature data, where the historical delivery order data is the delivery data corresponding to the historical order data;

[0021] Perform an order delivery generation process on the historical order delivery feature data and the first pre-allocation order data to obtain the second process order delivery data.

[0022] Further, perform pre - order - splitting processing on the order to be delivered according to the order address data and the order commodity data, and the obtained pre - order - splitting data includes:

[0023] Extract the storage location from the order commodity data to obtain first location data, where the first location data is data used to represent the location of the order commodity;

[0024] Perform city - same judgment processing based on distance on the first location data and the order address data,

[0025] If the first location data and the order address data meet the preset city - same rule, obtain first pre - order - splitting data;

[0026] If the first location data and the order address data do not meet the preset city - same rule, obtain second pre - order - splitting data.

[0027] Further, perform order allocation processing on the first pre - order - splitting data based on the order allocation model and historical delivery orders to obtain pre - delivery order data, where the pre - delivery order data is data used to represent the order waiting for the delivery staff to accept;

[0028] Perform judgment processing based on the waiting time on the pre - delivery order data to judge whether the delivery staff accepts the order to be delivered,

[0029] If the waiting time of the pre - delivery order data is greater than the preset waiting time threshold, the delivery staff does not accept the order to be delivered, and order delivery change prompt data is generated;

[0030] If the waiting time of the pre - delivery order data is less than or equal to the preset waiting time threshold, the delivery staff accepts the order to be delivered.

[0031] According to the second aspect of the present application, a data processing device for order delivery management is proposed, including:

[0032] A data acquisition module for acquiring order data to be processed, where the order data to be processed is data used to represent the order to be delivered, and the order data to be processed includes order address data and order commodity data;

[0033] A pre - order - splitting module for performing pre - order - splitting processing on the order to be delivered according to the order address data and the order commodity data to obtain pre - order - splitting data, where the pre - order - splitting data includes first pre - order - splitting data, and the first pre - order - splitting data is data used to represent the first order delivery method;

[0034] An order delivery module, which is used to perform order allocation processing on the first pre-allocated order data based on an order allocation model and historical delivery orders after the order is settled, so as to obtain order delivery data, and to implement the delivery of the orders to be delivered according to the order delivery data.

[0035] Further, the order delivery module includes:

[0036] A first order delivery module, which is used to perform a first allocation process on the first pre-allocated order data based on order characteristics and delivery characteristics, so as to obtain first-process order delivery data, where the first-process order data is used to represent order delivery data generated according to an order allocation model;

[0037] A second order delivery module, which is used to perform a second allocation process on the first pre-allocated order data based on historical delivery order matching, so as to obtain second-process order delivery data;

[0038] An order delivery generation module, which is used to generate the order delivery data according to the first-process order delivery data and the second order delivery data.

[0039] According to a third aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute the above data processing method for order delivery management.

[0040] According to a fourth aspect of the present application, an electronic device is provided, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor executes the above data processing method for order delivery management.

[0041] The technical solutions provided by the embodiments of the present application may include the following beneficial effects:

[0042] In this application, order data to be processed is obtained, where the order data to be processed is data used to represent an order to be delivered, and the order data to be processed includes order address data and order commodity data; the order to be delivered is pre-sorted based on the order address data and the order commodity data to obtain pre-sorted data, where the pre-sorted data includes first pre-sorted data, and the first pre-sorted data is data used to represent a first order delivery method; when the order is settled, order allocation processing is performed on the first pre-sorted data based on an order allocation model and historical delivery orders to obtain order delivery data, so as to implement the delivery of the order to be delivered according to the order delivery data. By pre-sorting the order to determine the delivery method of the order, and performing order delivery allocation according to order characteristics including order distance, placing user, delivery cost, etc., and determining the order delivery data according to the delivery data of historical orders, diverse delivery options and efficient delivery services are provided, improving the adaptability and efficiency of the order delivery plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which form a part of this application, are used to provide a further understanding of this application, making other features, objectives, and advantages of this application more obvious. The schematic embodiments and descriptions thereof of this application are used to explain this application and do not constitute an improper limitation of this application. In the drawings:

[0044] Figure 1 is a flowchart of a data processing method for order delivery management proposed by this application;

[0045] Figure 2 is a flowchart of a data processing method for order delivery management proposed by this application;

[0046] Figure 3 is a flowchart of a data processing method for order delivery management proposed by this application;

[0047] Figure 4 is a schematic diagram of a data processing device for order delivery management proposed by this application;

[0048] Figure 5 is a schematic diagram of a data processing device for order delivery management proposed by this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] To enable those skilled in the art to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the scope of protection of this application.

[0050] It should be noted that the terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances for the embodiments of this application described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0051] In this application, the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", etc. is based on the orientation or positional relationship shown in the drawings. These terms are mainly used to better describe this application and its embodiments, and are not used to limit that the indicated device, element, or component must have a specific orientation or be constructed and operated in a specific orientation.

[0052] Moreover, in addition to being able to represent an orientation or positional relationship, some of the above terms may also be used to represent other meanings. For example, the term "upper" may also be used to represent a certain attachment relationship or connection relationship in some cases. For those of ordinary skill in the art, the specific meanings of these terms in this application can be understood according to specific circumstances.

[0053] In addition, the terms "install", "set", "provided with", "connect", "connected", "socketed" should be understood in a broad sense. For example, "connect" can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or there can also be internal communication between two devices, elements, or components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0054] When a merchant conducts online transactions in an online mall, a single delivery method is adopted according to the user situation, such as same-city delivery or express delivery. When users of the online mall are engaged in same-city business, there will be corresponding cross-regional and long-distance orders. Merchants cannot use a single delivery plan and need to combine multiple delivery plans. Traditional same-city delivery mainly includes methods such as sending through express companies and establishing new delivery teams. When using an express company, the goods need to be collected by the company before delivery. Establishing a new delivery team requires a large investment in human and material resources and is difficult to cooperate effectively with other teams, and it is difficult to effectively cover orders in different regions. Therefore, this application is proposed to determine the delivery method of orders based on pre-sorting for the online orders of merchants, determine the delivery plan for order goods by screening and matching existing delivery teams, allocate order deliveries according to order characteristics including order distance, ordering users, and delivery costs, and determine the delivery data of orders based on the delivery data of historical orders, providing diverse delivery options and efficient delivery services, improving the adaptability and efficiency of the order delivery plan.

[0055] In an alternative embodiment of the present application, a data processing method for order delivery management is proposed. Figure 1 The flowchart of a data processing method for order delivery management proposed in this application is as Figure 1 shown. The method includes the following steps:

[0056] S101: Obtain order data to be processed;

[0057] The order data to be processed is data used to represent the order to be delivered, and the order data to be processed includes order address data and order commodity data;

[0058] S102: Perform pre-sorting processing on the order to be delivered according to the order address data and order commodity data to obtain pre-sorted data;

[0059] The pre-sorted data includes first pre-sorted data, and the first pre-sorted data is data used to represent the first order delivery method. The pre-sorted data includes first pre-sorted data and second pre-sorted data. The first pre-sorted data is order data used to represent same-city delivery, and the second pre-sorted data is order data used to represent express delivery. Determine whether the order to be delivered adopts same-city delivery or determine the express delivery method for the order to be delivered according to the order receiving address and the deliverable address of the commodity storage.

[0060] In an alternative embodiment of the present application, a data processing method for order delivery management is proposed, including:

[0061] Extract the storage location of the order commodity data to obtain the first location data, where the first location data is the data used to represent the location of the order commodity; perform distance-based same-city judgment processing on the first location data and the order address data. If the first location data and the order address data meet the preset same-city rule, obtain the first preliminary order distribution data; if the first location data and the order address data do not meet the preset same-city rule, obtain the second preliminary order distribution data. For example, if the user's order address has province, city, district, and specific address, and the ordered commodity has store or warehouse information, and the store or warehouse has province, city, district, and specific address, match the user's order address and the ordered commodity with the inventory in the corresponding store or warehouse, and judge whether the warehouse with commodity inventory and the user's order address are in the same city (such as the same province or the same city, etc.). If the warehouse with commodity inventory and the user's order address are in the same city, generate the first preliminary order distribution data according to the order to be delivered; if the warehouse with commodity inventory and the user's order address are not in the same city, generate the second preliminary order distribution data according to the order to be delivered.

[0062] S103: After the order is settled, perform order allocation processing on the first preliminary order distribution data based on the order allocation model and historical delivery orders to obtain order delivery data, so as to realize the delivery of the order to be delivered according to the order delivery data.

[0063] In an alternative embodiment of the present application, a data processing method for order delivery management is proposed. Figure 2 As shown in the flowchart of a data processing method for order delivery management proposed in the present application, Figure 2 The method includes the following steps:

[0064] S201: Perform the first allocation processing on the first preliminary order distribution data based on order characteristics and delivery characteristics to obtain the first process order delivery data;

[0065] The first process order data is the order delivery data used to represent the order generated according to the order allocation model.

[0066] In an alternative embodiment of the present application, a data processing method for order delivery management is proposed. Figure 3 As shown in the flowchart of a data processing method for order delivery management proposed in the present application, Figure 3 The method includes the following steps:

[0067] S301: Perform extraction processing on the first preliminary order data based on order characteristics to obtain distance feature data, user feature data, and economic feature data;

[0068] The distance feature data is the feature data used to represent the distance between the commodity address and the user's order placement address. The user feature data is the feature data used to represent the user's delivery preference, and the user feature data includes the feature data used to represent the user's delivery method preference and the user's delivery good reviews. The economic feature data is the feature data used to represent the delivery cost;

[0069] S302: Traverse multiple delivery information pools, match the delivery information corresponding to the distance feature, and obtain allocable data;

[0070] The allocable data is the data of the delivery plan for executing the first pre-order delivery task;

[0071] S303: Perform feature update processing on the distance feature data, user feature data, and economic feature data based on the allocable data to obtain updated order feature data;

[0072] The updated order feature data includes updated distance feature data, updated user feature data, and updated economic feature data;

[0073] S304: Perform delivery screening processing on the allocable data based on the updated order features to obtain the first process order delivery data.

[0074] In an alternative embodiment of the present application, according to the number of deliverable third parties corresponding to the distance feature, determine the weights of the distance feature, user feature, and economic feature in the order features during the delivery order matching, obtain the updated distance feature data, updated user feature data, and updated economic feature data, and screen the first process order delivery data from the above allocable data according to the updated distance feature data, updated user feature data, and updated economic feature data.

[0075] S202: Perform a second allocation process on the first pre-split order data based on historical delivery order matching to obtain the second process order delivery data;

[0076] In some alternative embodiments of the present application, a data processing method for order delivery management is proposed, including:

[0077] Perform historical order matching processing on the first pre-split order data based on the order location characteristics to obtain historical order data. Here, the historical order data is the data used to represent the historical order in the preset historical order database with the highest similarity to the order location characteristics of the first pre-split order data. The order location characteristics include the user's order placement address. Calculate the similarity between the historical user order placement address and the current order placement address. For example, whether the districts are the same, whether the streets are the same, etc.; perform extraction processing on the historical delivery order data based on the order characteristics to obtain historical order delivery characteristic data. Here, the historical delivery order data is the delivery data corresponding to the historical order data; perform order delivery generation processing on the historical order delivery characteristic data and the first pre-split order data to obtain the second process order delivery data.

[0078] S203: Generate order delivery data based on the first process order delivery data and the second order delivery data.

[0079] In some optional embodiments of the present application, a data processing method for order delivery management is proposed, including:

[0080] Perform order allocation processing on the first pre-split order data based on the order allocation model and historical delivery orders to obtain pre-delivery order data. The pre-delivery order data is the data used to represent the order waiting for the delivery personnel to accept. Perform judgment processing on the pre-delivery order data based on the waiting time to determine whether the delivery personnel accept the order to be delivered. If the waiting time of the pre-delivery order data is greater than the preset waiting time threshold, the delivery personnel do not accept the order to be delivered, and order delivery change prompt data is generated; if the waiting time of the pre-delivery order data is less than or equal to the preset waiting time threshold, the delivery personnel accept the order to be delivered.

[0081] In an optional embodiment of the present application, a data processing device for order delivery management is proposed. Figure 4 As shown in the schematic diagram of a data processing device for order delivery management proposed in the present application, Figure 4 as shown, the device includes:

[0082] A data acquisition module 41, configured to acquire order data to be processed. Here, the order data to be processed is the data used to represent the order to be delivered, and the order data to be processed includes order address data and order commodity data;

[0083] A pre-split order module 42, configured to perform pre-split order processing on the order to be delivered according to the order address data and the order commodity data to obtain pre-split order data. Here, the pre-split order data includes first pre-split order data, and the first pre-split order data is the data used to represent the first order delivery method;

[0084] The order delivery module 43 is used to perform order allocation processing on the first pre-allocated order data based on an order allocation model and historical delivery orders after the order is settled, so as to obtain order delivery data, and realize the delivery of the orders to be delivered according to the order delivery data.

[0085] In an alternative embodiment of the present application, a data processing device for order delivery management is proposed. Figure 5 As shown in the schematic diagram of another data processing device for order delivery management proposed in the present application, Figure 5 as shown, the device includes:

[0086] The first order delivery module 51 is used to perform a first allocation process on the first pre-allocated order data based on order characteristics and delivery characteristics to obtain first-process order delivery data, where the first-process order data is used to represent order delivery data generated according to an order allocation model;

[0087] The second order delivery module 52 is used to perform a second allocation process on the first pre-allocated order data based on historical delivery order matching to obtain second-process order delivery data;

[0088] The order delivery generation module 53 is used to generate the order delivery data according to the first-process order delivery data and the second order delivery data.

[0089] The specific manners of the execution operations of the above-mentioned units in the embodiments have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0090] In summary, in the present application, order data to be processed is obtained, where the order data to be processed is data used to represent orders to be delivered, and the order data to be processed includes order address data and order commodity data; the orders to be delivered are pre-allocated according to the order address data and the order commodity data to obtain pre-allocated order data, where the pre-allocated order data includes first pre-allocated order data, and the first pre-allocated order data is data used to represent a first order delivery method; after the order is settled, order allocation processing is performed on the first pre-allocated order data based on an order allocation model and historical delivery orders to obtain order delivery data, so as to realize the delivery of the orders to be delivered according to the order delivery data. By pre-allocating orders to determine the delivery methods of the orders, and performing order delivery allocation according to order characteristics including order distance, placing users, delivery fees, etc., and determining the order delivery data according to the delivery data of historical orders, diversified delivery options and efficient delivery services are provided, and the adaptability and efficiency of the order delivery plan are improved.

[0091] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0092] Obviously, those skilled in the art should understand that the various units or steps of the present application described above can be implemented by a general-purpose computing device. They can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Optionally, they can be implemented with program code executable by the computing device. Thus, they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to implement. In this way, the present application is not limited to any specific combination of hardware and software.

[0093] The above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A data processing method for order delivery management, characterized in that: include: Acquire pending order data, wherein the pending order data is data used to represent the order to be delivered, and the pending order data includes order address data and order product data; Pre-order splitting is performed on the order to be delivered according to the order address data and the order commodity data to obtain pre-order splitting data, wherein the pre-order splitting data includes first pre-order splitting data, and the first pre-order splitting data is used to represent data of a first order delivery method; After the order is settled, the first pre-order data is processed for order distribution based on the order distribution model and historical delivery orders to obtain order delivery data, so as to achieve delivery of the order to be delivered according to the order delivery data.

2. The data processing method according to claim 1, characterized in that: After the order is settled, the first pre-order data is processed for order allocation based on the order allocation model and the historical delivery order data, including: Performing a first allocation process based on order characteristics and delivery characteristics on the first pre-order data to obtain first process order delivery data, wherein the first process order data is used to represent order delivery data generated according to the order allocation model; Performing a second distribution process on the first pre-order distribution data based on historical distribution order matching to obtain second process order distribution data; The order delivery data is generated based on the first process order delivery data and the second order delivery data.

3. The data processing method according to claim 2, characterized in that: The first pre-order distribution data is subjected to a first distribution process based on order characteristics and delivery characteristics to obtain first process order delivery data including: Performing order feature-based extraction processing on the first pre-order data to obtain distance feature data, user feature data, and economic feature data, wherein the distance feature data is feature data used to represent the distance between the product address and the user's order address, the user feature data is feature data used to represent the user's delivery preference, and the economic feature data is feature data used to represent the delivery fee; Traversing multiple delivery information pools, matching the delivery information corresponding to the distance feature, and obtaining allocatable data, wherein the allocatable data is data of a delivery plan for executing the first pre-order delivery task; Performing feature update processing based on the distributable data on the distance feature data, the user feature data and the economic feature data to obtain updated order feature data, wherein the updated order feature data includes updated distance feature data, updated user feature data and updated economic feature data; The allocable data is subjected to delivery screening processing based on updated order characteristics to obtain the first process order delivery data.

4. The data processing method according to claim 2, characterized in that: The first pre-order data is subjected to a second distribution process based on historical delivery order matching to obtain second process order delivery data including: Performing historical order matching processing based on order location features on the first pre-order data to obtain historical order data, wherein the historical order data is data used to represent historical orders in a preset historical order database that have the greatest similarity to the order location features of the first pre-order data; Performing order feature-based extraction processing on the historical delivery order data to obtain historical order delivery feature data, wherein the historical delivery order data is delivery data corresponding to the historical order data; The historical order delivery characteristic data and the first pre-order data are processed to generate order delivery to obtain the second process order delivery data.

5. The data processing method according to claim 1, characterized in that: The pre-order splitting process is performed on the to-be-delivered order according to the order address data and the order commodity data, and the pre-order splitting data obtained includes: Performing storage location extraction processing on the order product data to obtain first location data, wherein the first location data is data used to indicate the location of the order product; Performing same-city determination processing based on distance on the first location data and the order address data, If the first location data and the order address data meet the preset same-city rule, obtaining the first pre-order data; If the first location data and the order address data do not satisfy the preset same-city rule, second pre-order data is obtained.

6. The data processing method according to claim 1, characterized in that: The first pre-order data is processed for order distribution based on the order distribution model and historical delivery orders, and the order delivery data obtained includes: Performing order allocation processing on the first pre-order data based on an order allocation model and historical delivery orders to obtain pre-delivery order data, wherein the pre-delivery order data is order data for indicating orders waiting to be received by delivery personnel; The pre-delivery order data is processed based on the waiting time to determine whether the delivery personnel accepts the order to be delivered. If the waiting time of the pre-delivery order data is greater than the preset waiting time threshold, the delivery personnel will not accept the order to be delivered, and will generate order delivery change prompt data; If the waiting time of the pre-delivery order data is less than or equal to the preset waiting time threshold, the delivery personnel accepts the order to be delivered.

7. A data processing device for order delivery management, characterized in that: include: A data acquisition module is used to acquire pending order data, wherein the pending order data is data used to represent pending delivery orders, and the pending order data includes order address data and order product data; A pre-order splitting module is used to perform pre-order splitting processing on the to-be-delivered order according to the order address data and the order commodity data to obtain pre-order splitting data, wherein the pre-order splitting data includes first pre-order splitting data, and the first pre-order splitting data is used to represent data of a first order delivery method; The order distribution module is used to perform order distribution processing on the first pre-order data based on the order distribution model and historical distribution orders after the order is settled, and obtain order distribution data to realize the distribution of the order to be distributed according to the order distribution data.

8. The data processing device according to claim 7, characterized in that: Order delivery module, including: A first order distribution module, used for performing a first distribution process on the first pre-order distribution data based on order characteristics and distribution characteristics to obtain first process order distribution data, wherein the first process order data is used to represent order distribution data generated according to the order distribution model; A second order distribution module is used to perform a second distribution process on the first pre-order distribution data based on historical distribution order matching to obtain second process order distribution data; An order delivery generating module is used to generate the order delivery data according to the first process order delivery data and the second order delivery data.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the data processing method for order delivery management described in any one of claims 1-6.

10. An electronic device, characterized in that: include: at least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor executes the data processing method for order delivery management as described in any one of claims 1-6.

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