CN113537893A

CN113537893A - Order processing method, device, equipment and computer readable medium

Info

Publication number: CN113537893A
Application number: CN202110811158.7A
Authority: CN
Inventors: 静燕
Original assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Current assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2021-07-19
Filing date: 2021-07-19
Publication date: 2021-10-22

Abstract

The embodiment of the disclosure discloses an order processing method, an order processing device, electronic equipment and a computer readable medium. One embodiment of the method comprises: obtaining an attribute value of at least one attribute of the order to be processed, the at least one attribute comprising at least one of: estimating delivery time, receiving address, regional influence factor information and order type; determining a target delivery type matched with the order to be processed from a predetermined delivery type set based on the attribute value of at least one attribute, wherein each delivery type in the delivery type set corresponds to an order pool; and adding the order to be processed into an order pool corresponding to the target delivery type to process the order. The embodiment realizes that different order processing operations are executed according to different delivery urgency degrees of orders.

Description

Order processing method, device, equipment and computer readable medium

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to an order processing method, an order processing device, order processing equipment and a computer readable medium.

Background

After a user places an order on the e-commerce platform, the warehouse generally produces the order according to the time sequence of the order. For example, orders are picked, reviewed, packaged, and so forth.

However, when the order is generated in the above manner, there are often technical problems as follows:

different orders have different urgency, and producing orders in order of their fulfillment often results in delayed delivery of urgent orders.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Some embodiments of the present disclosure propose order processing methods, apparatuses, devices and computer readable media to address one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide an order processing method, including: obtaining an attribute value of at least one attribute of the order to be processed, the at least one attribute comprising at least one of: estimating delivery time, receiving address, regional influence factor information and order type; determining a target delivery type matched with the order to be processed from a predetermined delivery type set based on the attribute value of at least one attribute, wherein each delivery type in the delivery type set corresponds to an order pool; and adding the order to be processed into an order pool corresponding to the target delivery type to process the order.

In a second aspect, some embodiments of the present disclosure provide an order processing apparatus, the apparatus comprising: an obtaining unit configured to obtain an attribute value of at least one attribute of the order to be processed, the at least one attribute including at least one of: estimating delivery time, receiving address, regional influence factor information and order type; the determining unit is configured to determine a target shipping type matched with the order to be processed from a predetermined shipping type set based on the attribute value of at least one attribute, wherein each shipping type in the shipping type set corresponds to one order pool; and the order processing unit is configured to add the order to be processed into the order pool corresponding to the target delivery type so as to process the order.

In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantages: and dividing the orders into different delivery types, and adding the orders into different order pools according to the delivery types. Different order processing modes are corresponding to different order pools, so that different order processing operations can be executed according to different delivery emergency degrees of orders.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

FIG. 1 is a flow diagram of some embodiments of an order processing method according to the present disclosure;

FIG. 2 is a flow diagram of further embodiments of an order processing method according to the present disclosure;

FIG. 3 is a schematic diagram of an application scenario of an order processing method according to some embodiments of the present disclosure;

FIG. 4 is a schematic block diagram of some embodiments of an order processing apparatus according to the present disclosure;

FIG. 5 is a schematic diagram of a structure suitable for use in an electronic device to implement some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

With continued reference to FIG. 1, a flow 100 of some embodiments of an order processing method according to the present disclosure is shown. The order processing method comprises the following steps:

step 101, obtaining an attribute value of at least one attribute of an order to be processed.

In some embodiments, the executing agent of the order processing method may obtain an attribute value of at least one attribute of the order to be processed. In practice, the order may be generated by the user purchasing a product (service) on various e-commerce platforms, including information related to the user purchasing the product (service). For example, it may be a merchandise order, a car order, etc.

The at least one attribute may include at least one of: estimated time of delivery, shipping address, regional influential information, type of order. As an example, the expected delivery time may be a time at which delivery of the subscriber is committed. For example, the user may select the arrival time for the current day, the next day, every other day, multiple days, etc., as desired. When the user selects a certain arrival time, for example, the arrival time on the day is selected, that is, the time of the user's delivery is committed to the day, and the delivery time is also the day. The regional influence factor information may be information related to regional influence factors, for example, the regional influence factors may be severe weather in a certain region, road regulation in a certain region, and the like, and these factors may affect the order dispatch time. Further, the order types may be divided according to the source of the order, the customer type, and the like. For example, the order type may include a personal order, a company order. According to actual needs, the order can be further divided into a company-to-company order, a person-to-company order, a company-to-person order, a person-to-person order, and the like. The receiving address can be a product mailing address, a taxi-taking destination, etc. according to actual needs.

Step 102, a target shipping type matched with the order to be processed is determined from a predetermined set of shipping types based on the attribute value of the at least one attribute.

In some embodiments, the execution body may determine a weighted sum of at least one attribute value, as an example. In practice, a plurality of value intervals may be preset, and each value interval corresponds to a shipping type. On the basis of the data interval, the target shipping type matched with the data interval can be determined from a predetermined shipping type set according to the numerical interval in which the weighted sum is positioned. As yet another example, some attribute values may be further filtered from the attribute values of at least one attribute to remove low associated attribute values, and then a weighted sum of the filtered attribute values is determined and matched to the target shipment type based on the weighted sum.

In some embodiments, each shipment type in the set of shipment types corresponds to an order pool. The shipment type is used to characterize the urgency of shipment of the order. For example, the shipping type may include emergency, quick, general. Because the delivery emergency degrees of the orders represented by each delivery are different, each order pool corresponds to different order processing modes, and therefore the orders with different delivery emergency degrees can be processed in different processing modes.

In some embodiments, the subsequent processing of orders of different shipping types may be independent of each other, or may be scheduled according to actual circumstances.

And 103, adding the order to be processed into an order pool corresponding to the target delivery type to process the order.

In some embodiments, the executing agent adds the to-be-processed order to an order pool corresponding to the destination shipping type to process the order.

In some embodiments, as an example, the order processing manner corresponding to the urgent order may be to produce the order immediately after receiving the order, including picking, weighing, rechecking, and the like according to the order. The order processing mode corresponding to the fast order may be that the orders in the order pool are processed in two batches, for example, the orders in the order pool may be processed in two time periods of 9-11 am and 6-9 pm, and the orders are not produced in the rest of time. As an example, a common order processing mode corresponding to the order may be that only one production batch is processed every day, for example, the order in the order pool is processed only in the time period of 6 o 'clock to 9 o' clock in the evening.

Some embodiments of the present disclosure provide a method, which determines a shipping type according to at least one attribute value of an order, and adds different order pools according to the shipping type, so that targeted processing of orders with different urgency levels can be realized. Compared with the mode according to the generation time of the order, the emergency degree of the order can be fully considered, so that the delayed delivery of the more emergency order is avoided. In practice, an urgent order often corresponds to a product with a short warranty time (e.g., fresh). If delayed delivery occurs, the problems of product deterioration and the like occur, thereby causing product waste. Therefore, for this type of order, the occurrence of deferred delivery for the order can be reduced, thereby reducing product waste.

With further reference to FIG. 2, a flow 200 of further embodiments of an order processing method is illustrated. The process 200 of the order processing method includes the following steps:

step 201, obtaining an attribute value of at least one attribute of the order to be processed.

A target shipment type matching the pending order is determined from a predetermined set of shipment types based on the attribute value of the at least one attribute, step 202.

Step 203, adding the order to be processed into the order pool corresponding to the destination delivery type to process the order.

In some embodiments, specific implementations of the

steps

201 and 203 and technical effects thereof may refer to those embodiments corresponding to fig. 1, and are not described herein again.

Step 204, in response to that the number of orders in the first order pool is greater than a first preset threshold, transferring the target number of orders in the first order pool from the first order pool to the second order pool according to the order time corresponding to the orders.

In some embodiments, the set of shipment types includes a first shipment type, a second shipment type, and a third shipment type. The first shipment type corresponds to a first order pool, the second shipment type corresponds to a second order pool, and the third shipment type corresponds to a third order pool. The first shipment type has a priority greater than the second shipment type, which is greater than the third shipment type. As an example, the first shipment type may be emergency, the second shipment type may be quick, and the third shipment type may be normal. Additionally, a maximum order number threshold and a minimum order number threshold may also be set for each order pool, respectively. The thresholds for different order pools may be the same or different.

On this basis, the total number of orders in each order pool may be monitored. If the total number of orders in a certain order pool is larger than the maximum order number threshold value, the orders with the target number can be selected to be transferred from the order pool to the order pool with the priority lower than that of the order pool according to the sequence of the corresponding time of the orders from first to last.

In some optional implementations of some embodiments, in response to the number of orders in the second order pool being less than a second preset threshold, the orders in the second order pool are transferred from the second order pool to the first order pool according to order times corresponding to the orders.

In these implementations, if the total number of orders in an order pool is found to be smaller than the minimum order number threshold, the orders in the order pool may be transferred to the higher order pool according to the order from the first to the next corresponding to the order. Therefore, the production resources of the warehouse can be saved in the low-ebb order.

Step 205, in response to that the number of orders in the transferred second order pool is greater than a third threshold, continuing to transfer at least one order in the second order pool from the second order to a third order according to the order time corresponding to the order.

In some embodiments, based on step 204, after receiving the orders in the order pool with a higher priority, the above determination may be made, and if the determination is greater than the maximum order number threshold, the order pool with a lower priority may be continuously shifted, so as to avoid that the orders in the order pool cannot be processed in time, which may result in delayed order delivery.

As can be seen from fig. 2, compared to the description of some embodiments corresponding to fig. 1, the flow 200 of the order processing method in some embodiments corresponding to fig. 2 adds steps of order transfer between different order pools, thereby achieving peak clipping and valley filling for the orders. That is, order delays are avoided at peak orders and waste of production resources is avoided at trough orders.

With further reference to fig. 3, fig. 3 is a schematic diagram of one application scenario of an order processing method according to some embodiments of the present disclosure.

In practice, the execution main body of the order processing method may be various software, and may be a terminal device, or may also be a server, and the execution main body of the method may further include a device formed by integrating the terminal device and the server through a network. The terminal device may be various electronic devices with information processing capability, including but not limited to a smart phone, a tablet computer, an e-book reader, a laptop portable computer, a desktop computer, and the like. When the execution subject is software, the software can be installed in the electronic device listed above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.

As shown in fig. 3, after the order is placed by the user, the execution agent of the order processing method may determine the destination shipment type according to the attribute value of the at least one attribute. The order is then added to the order pool according to the destination shipping type. For example, the emergency order pool 301 is added if the shipment type is emergency, the fast order pool 302 is added if fast, and the general order pool 303 is added if normal.

Optionally, in some embodiments, if the total number of orders in the emergency order pool 301 is greater than the maximum order number threshold, the orders in the emergency order pool 301 may be shifted to the fast order pool 302, i.e., the portion of orders are downgraded. Similarly, partial orders may also be diverted to the general orders pool 303 if the quick orders pool 302 is at peak.

Optionally, in some embodiments, if the total number of orders in the general order pool 303 is smaller than the small order number threshold, part or all of the orders may be transferred to the higher-level fast order pool 302, that is, the transferred orders may be upgraded. Similarly, if the fast order pool 302 is at a trough, it may also be transferred to the general order pool 301.

With further reference to fig. 4, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of an order processing apparatus, which correspond to those shown in fig. 1, and which may be applied in various electronic devices.

As shown in fig. 4, the order processing apparatus 400 of some embodiments includes: an acquisition unit 401, a determination unit 402, and an order processing unit 403. Wherein the obtaining unit 401 is configured to obtain an attribute value of at least one attribute of the order to be processed. The determining unit 402 is configured to determine a destination shipment type matching the order to be processed from a predetermined set of shipment types, each shipment type in the set of shipment types corresponding to an order pool, based on the attribute value of the at least one attribute. The order processing unit 403 is configured to add the to-be-processed order to the order pool corresponding to the destination shipping type for processing the order.

In an optional implementation of some embodiments, the set of shipment types includes a first shipment type and a second shipment type; the first delivery type corresponds to a first order pool, and the second delivery type corresponds to a second order pool; the first shipment type has a priority greater than the second shipment type; and the apparatus 400 further comprises: and the order transferring unit is configured to respond to the fact that the order quantity in the first order pool is larger than a first preset threshold value, and transfer the target quantity orders in the first order pool from the first order pool to the second order pool according to the order time corresponding to the orders.

In an optional implementation of some embodiments, the order transfer unit is further configured to: and in response to the fact that the number of orders in the second order pool is smaller than a second preset threshold value, transferring the orders in the second order pool from the second order pool to the first order pool according to order time corresponding to the orders.

In an optional implementation manner of some embodiments, the shipment type set further includes a third shipment type, the third shipment type corresponds to a third order pool, and a priority of the second shipment type is greater than that of the third shipment type; the order transfer unit is further configured to: and in response to the number of the orders in the transferred second order pool being larger than a third threshold value, continuing to transfer at least one order in the second order pool from the second order to a third order according to the order time corresponding to the order.

In an optional implementation of some embodiments, the determining unit 402 is further configured to determine a weighted sum of the attribute values of the at least one attribute; and according to the numerical interval where the weighted sum is located, determining a target delivery type matched with the numerical interval from a predetermined delivery type set.

It will be understood that the units described in the apparatus 400 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.

Referring now to FIG. 5, a block diagram of an electronic device 500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.

Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.

It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: obtaining an attribute value of at least one attribute of the order to be processed, the at least one attribute comprising at least one of: estimating delivery time, receiving address, regional influence factor information and order type; determining a target delivery type matched with the order to be processed from a predetermined delivery type set based on the attribute value of at least one attribute, wherein each delivery type in the delivery type set corresponds to an order pool; and adding the order to be processed into an order pool corresponding to the target delivery type to process the order.

Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a determination unit, and an order processing unit. Where the names of the units do not in some cases constitute a definition of the units themselves, for example, the acquiring unit may also be described as a "unit that acquires an attribute value of at least one attribute of the order to be processed".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims

1. An order processing method, comprising:

acquiring an attribute value of at least one attribute of an order to be processed;

determining a target delivery type matched with the order to be processed from a predetermined delivery type set based on the attribute value of the at least one attribute, wherein each delivery type in the delivery type set corresponds to an order pool, each order pool corresponds to different order processing modes, and the delivery type is used for representing delivery emergency degree of the order;

and adding the order to be processed into an order pool corresponding to the target delivery type to process the order.

2. The method of claim 1, wherein the set of shipment types includes a first shipment type and a second shipment type; the first delivery type corresponds to a first order pool, and the second delivery type corresponds to a second order pool; the first shipment type is of a higher priority than the second shipment type; and

the method further comprises the following steps:

and responding to the fact that the order quantity in the first order pool is larger than a first preset threshold value, and transferring the target quantity orders in the first order pool from the first order pool to the second order pool according to order time corresponding to the orders.

3. The method of claim 2, wherein the method further comprises:

and responding to the fact that the number of orders in the second order pool is smaller than a second preset threshold value, and transferring the orders in the second order pool from the second order pool to the first order pool according to order time corresponding to the orders.

4. The method of claim 2, wherein the set of shipment types further includes a third shipment type corresponding to a third order pool, the second shipment type having a priority greater than the third shipment type; and

the method further comprises the following steps:

and in response to the number of the orders in the transferred second order pool being larger than a third threshold value, continuing to transfer at least one order in the second order pool from the second order to the third order according to the order time corresponding to the order.

5. The method of claim 2, wherein the determining a destination shipping type from a predetermined set of shipping types that matches the pending order based on the attribute value of the at least one attribute comprises:

determining a weighted sum of attribute values of the at least one attribute;

and according to the numerical value interval where the weighted sum is located, determining a target delivery type matched with the numerical value interval from a predetermined delivery type set.

6. An order processing apparatus comprising:

an acquisition unit configured to acquire an attribute value of at least one attribute of an order to be processed;

a determining unit configured to determine a target shipping type matched with the to-be-processed order from a predetermined shipping type set based on an attribute value of the at least one attribute, wherein each shipping type in the shipping type set corresponds to an order pool;

and the order processing unit is configured to add the to-be-processed order into an order pool corresponding to the target delivery type so as to process the order.

7. The apparatus of claim 6, wherein the set of shipment types includes a first shipment type and a second shipment type; the first delivery type corresponds to a first order pool, and the second delivery type corresponds to a second order pool; the first shipment type is of a higher priority than the second shipment type; and

the device further comprises:

the order transferring unit is configured to transfer the target quantity orders in the first order pool from the first order pool to the second order pool according to order time corresponding to the orders in response to the order quantity in the first order pool being larger than a first preset threshold value.

8. The apparatus of claim 7, wherein the order transfer unit is further configured to:

9. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.

10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.