CN110826944A - Order processing method and device, electronic equipment and medium - Google Patents

Order processing method and device, electronic equipment and medium Download PDF

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Publication number
CN110826944A
CN110826944A CN201810893010.0A CN201810893010A CN110826944A CN 110826944 A CN110826944 A CN 110826944A CN 201810893010 A CN201810893010 A CN 201810893010A CN 110826944 A CN110826944 A CN 110826944A
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order
orders
sub
fulfillment
user
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李伟
李飞
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders

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Abstract

The present disclosure provides an order processing method, including: splitting the order into a plurality of sub-orders according to a splitting rule, wherein the order comprises an order placed by a user in a period; generating a performance order based on all the sub orders in the period; and determining whether the commodities contained in all the sub orders in the fulfillment list reach the distribution center according to data returned by the distribution center. The disclosure also provides an order processing device, an electronic device and a medium.

Description

Order processing method and device, electronic equipment and medium
Technical Field
The present disclosure relates to the field of order processing technologies, and in particular, to an order processing method and apparatus, an electronic device, and a medium.
Background
With the rapid development of intelligent devices and the internet, online shopping has become a favorite shopping mode for most users. At present, after a user places an order, the order placed by the user is split according to a splitting rule to obtain a plurality of sub-orders. The sub-orders are delivered to a warehouse WMS, and WMS operators can pack, recheck and produce the sub-orders according to the goods picking instructions and finally leave the warehouse.
However, in the process of implementing the concept of the present invention, the inventor finds that at least the following problems exist in the prior art: for a plurality of split sub-orders, the user may not be able to pick up the order at one place due to the geographic location of the warehouse, or the distribution cost may be higher due to the problem of multiple distribution of the sub-orders.
Disclosure of Invention
Accordingly, the present disclosure is directed to an order processing method, apparatus, electronic device, and medium that substantially obviate one or more problems due to limitations and disadvantages of the related art.
A first aspect of the present disclosure provides an order processing method, including: splitting the order into a plurality of sub-orders according to a splitting rule, wherein the order comprises an order placed by a user in a period; generating a performance order based on all the sub orders in the period; and determining whether the commodities contained in all the sub orders in the fulfillment list reach the distribution center according to data returned by the distribution center.
According to an embodiment of the disclosure, the method further comprises: slicing the fulfillment list according to the dimension of the warehouse to obtain a plurality of fulfillment slices; and downloading the plurality of track sheets to corresponding warehouses according to preset time so that each warehouse can pack, recheck and deliver the sub-orders contained in the track sheets before the receiving time set by the user.
According to an embodiment of the disclosure, the method further comprises: and determining the preset time according to the position of the warehouse and the receiving time set by the user.
According to the embodiment of the disclosure, the sub orders contained in the fulfillment form belong to different warehouses, different parent orders and sub orders at different order placing times.
A second aspect of the present disclosure provides an order processing apparatus comprising: the splitting module is used for splitting the order into a plurality of sub-orders according to a splitting rule, wherein the order comprises an order made by a user in a period; the generation module generates a fulfillment form based on all the sub orders in the period; and the first determining module is used for determining whether the commodities contained in all the sub orders in the fulfillment list reach the distribution center according to the data returned by the distribution center.
According to an embodiment of the present disclosure, the apparatus further comprises: the fragment module is used for fragmenting the fulfillment list according to the dimension of the warehouse to obtain a plurality of fulfillment fragments; and the downloading module is used for downloading the plurality of track sheets to the corresponding warehouses according to preset time so that each warehouse can pack, recheck and deliver the sub-orders contained in the track sheets before the receiving time set by the user.
According to an embodiment of the present disclosure, the apparatus further includes a second determining module, configured to determine the preset time according to the location of the warehouse and the receiving time set by the user.
According to the embodiment of the disclosure, the sub orders contained in the fulfillment form belong to different warehouses, different parent orders and sub orders at different order placing times.
A third aspect of the present disclosure provides an electronic device, comprising: one or more processors, and a storage device. The storage device is used for storing one or more programs. Wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the order processing method as described above.
A fourth aspect of the disclosure provides a computer readable medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the order processing method as described above.
A fifth aspect of the disclosure provides a computer program comprising computer executable instructions for implementing an order processing method when executed.
According to the order processing method provided by the disclosure, an order placed by a user in a period can be split into a plurality of sub-orders according to a splitting rule, then a fulfillment order is generated based on all the sub-orders in the period, in this case, whether goods contained in all the sub-orders in the fulfillment order reach the distribution center can be determined according to data returned by the distribution center, if the goods contained in all the sub-orders in the fulfillment order reach the distribution center, all the goods purchased by the user in the period can be distributed, and defects brought by batch distribution of all the goods purchased by the user in the period in the prior art are effectively avoided, which is helpful for reducing distribution cost for the user. Or the user can be informed to self-provide all the commodities purchased in a period to the distribution center.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
FIG. 1 schematically illustrates a flow chart of an order processing method according to an embodiment of the present disclosure;
FIG. 2 schematically illustrates a flow diagram of an order processing method according to another embodiment of the present disclosure;
fig. 3 schematically shows a schematic diagram of an application scenario of an order processing method according to another embodiment of the present disclosure;
FIG. 4 schematically illustrates a block diagram of an order processing apparatus according to an embodiment of the present disclosure;
FIG. 5 schematically illustrates a block diagram of an order processing apparatus according to another embodiment of the present disclosure;
FIG. 6 schematically illustrates a block diagram of an order processing apparatus according to another embodiment of the present disclosure;
FIG. 7 schematically shows a block diagram of a computer system of an electronic device according to an embodiment of the disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). It will be further understood by those within the art that virtually any disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase "a or B" should be understood to include the possibility of "a" or "B", or "a and B".
An embodiment of the present disclosure provides an order processing method, including: splitting the order into a plurality of sub-orders according to a splitting rule, wherein the order comprises an order placed by a user in a period; generating a performance order based on all the sub orders in the period; and determining whether the commodities contained in all the sub orders in the fulfillment list reach the distribution center according to data returned by the distribution center.
According to the order processing method provided by the disclosure, an order placed by a user in a period can be split into a plurality of sub-orders according to a splitting rule, then a fulfillment order is generated based on all the sub-orders in the period, in this case, whether goods contained in all the sub-orders in the fulfillment order reach the distribution center can be determined according to data returned by the distribution center, if the goods contained in all the sub-orders in the fulfillment order reach the distribution center, all the goods purchased by the user in the period can be distributed, and defects brought by batch distribution of all the goods purchased by the user in the period in the prior art are effectively avoided, which is helpful for reducing distribution cost for the user. Or the user can be informed to self-provide all the commodities purchased in a period to the distribution center.
Fig. 1 schematically shows a flow chart of an order processing method according to an embodiment of the present disclosure.
As shown in fig. 1, the order processing method includes steps S101 to S103.
In step S101, the order is split into a plurality of sub-orders according to a splitting rule, where the order includes an order placed by a user in a period.
In step S102, a fulfillment form is generated based on all the sub-orders in the period.
In step S103, it is determined whether the commodities included in all the sub orders in the fulfillment form arrive at the distribution center according to the data returned by the distribution center.
The method can divide an order made by a user in a period into a plurality of sub-orders according to a division rule, and then generates a fulfillment order based on all the sub-orders in the period, in which case, whether the commodities contained in all the sub-orders in the fulfillment order reach the distribution center can be determined according to data returned by the distribution center, and if the commodities contained in all the sub-orders in the fulfillment order reach the distribution center, all the commodities purchased by the user in the period can be distributed, so that the defects brought by batch distribution of all the commodities purchased by the user in the period in the prior art are effectively avoided, and the distribution cost can be reduced for the user. Or the user can be informed to self-provide all the commodities purchased in a period to the distribution center.
In some embodiments of the present disclosure, the splitting rule may be set according to a warehouse, a category of goods, and a merchant. For example, the splitting rule is set according to the geographical position of the bin, and after the user places an order, one or more warehouses suitable for the sub-order can be located according to the splitting rule and the receiving address of the order. For another example, the splitting rule is set according to the categories of the goods, and after the user places the order, one or more warehouses suitable for the sub-order can be located according to the splitting rule and the categories of the goods in the order. For another example, the splitting rule is set according to a merchant, and after the user places an order, one or more suitable warehouses for the sub-order can be located according to the splitting rule and the merchant of the goods in the order. Of course, the splitting rule may also be set in combination with the factors of the warehouse, the category of the commodity, and the merchant.
In some embodiments of the present disclosure, the order may be an order that the user places in a period of two days, for example, and the order may include all orders that the user places in the two days.
In some embodiments of the present disclosure, all orders placed by the user within the two days may be split according to the split rule. For example, the number of orders placed by the user on monday is 5, the number of orders placed on tuesday is 2, at this time, 7 orders placed by the user within two days can be split according to the splitting rule, a child order of each parent order is obtained, splitting of orders placed by the user in a parent-crossing order and a parent-crossing order-placing time is realized, and further the defect that related technologies can only split orders placed in one-time purchase of the user is overcome.
In some embodiments of the present disclosure, the fulfillment order may be a set of sub-orders, and the set of sub-orders may include all sub-orders obtained through splitting. Wherein the attribute information of each sub order is the same as the attribute information of the parent order. For example, the attribute information of the parent order may include a receiving address, a receiving name, a receiving contact telephone number, an order placing time, and the like, the attribute information of each child order obtained after splitting the parent order also includes the receiving address, the receiving name, the receiving contact telephone number, and the order placing time, and the receiving address, the receiving name, the receiving contact telephone number, and the order placing time of each child order are the same as those of the parent order.
In some embodiments of the present disclosure, after the fulfillment form is generated, the fulfillment form may be sent to a warehouse according to the receiving time set by the user and the attribute information of each sub-order, and the related personnel in the warehouse package, review, and export the goods included in each sub-order.
In some embodiments of the present disclosure, the data returned by the distribution center may be the status of the goods included in all orders placed by the user in one period. For example, the user purchases products of toothpaste, facial cleanser, purified water, jacket, shorts, mobile phone and computer in one period, and the data returned by the distribution center in this scenario may indicate that the toothpaste, facial cleanser, purified water, jacket and shorts have arrived at the distribution center, and the mobile phone and computer have not arrived at the distribution center. Therefore, whether all the commodities purchased by the user in one period reach the distribution center can be determined in real time according to the data returned by the distribution center, and if all the commodities reach the distribution center, the commodities are distributed, or the user is informed to carry out self-service.
FIG. 2 schematically shows a flow diagram of an order processing method according to another embodiment of the disclosure.
As shown in fig. 2, the method further includes step S201 and step S202.
In step S201, the fulfillment list is segmented according to the dimensions of the warehouse to obtain a plurality of fulfillment segments.
In step S202, the multiple fulfillment records are downloaded to the corresponding warehouses according to a preset time, so that each warehouse packs, rechecks, and delivers the sub-orders included in the fulfillment records before the receiving time set by the user.
The method can divide sub-orders in the fulfillment list into multiple fulfillment pieces according to the dimension of a warehouse, and then the multiple fulfillment pieces are downloaded to the corresponding warehouse according to preset time, so that each warehouse can pack, recheck and discharge the sub-orders contained in the fulfillment pieces before the receiving time set by a user.
In some embodiments of the present disclosure, slicing the fulfillment form according to the dimension of the warehouse may specifically be slicing the goods included in the sub-order in the fulfillment form according to the goods stored in the warehouse and the location of the warehouse. Or the fulfillment list can be segmented according to the warehouse label marked on each sub-order when the orders are split.
According to an embodiment of the present disclosure, the method further includes determining the preset time according to a location of the warehouse and a receiving time set by the user.
In some embodiments of the present disclosure, after slicing, the sub-orders included in each track slice belong to the orders in the same warehouse, which is convenient for management, and it can also be determined according to the location of the warehouse and the receiving time set by the user when the sub-orders included in each track slice are downloaded to the warehouse, so that the time interval between the commodities of the sub-orders included in each track slice and the distribution center can be minimized, thereby ensuring that the time when the commodities purchased by the user in one period reach the distribution center is before the receiving time set by the user.
Fig. 3 schematically shows a schematic diagram of an application scenario of an order processing method according to another embodiment of the present disclosure.
If 3, the user periodically purchases goods via the enterprise-side mall a1, and generates an order based on the purchased goods at the order-trading system a2, then the order placed by the user in one period is sent to a splitting system A3, the order placed by the user in one period is split through the splitting system A3 to obtain a plurality of sub-orders, a fulfillment order is generated based on the plurality of sub-orders, then the fulfillment list is divided into a plurality of fulfillment pieces, the splitting system A3 downloads the fulfillment pieces to the warehouse management system A4, then the warehouse management system a4 downloads a plurality of reservation pieces to corresponding warehouses, the warehouses package, recheck and export the commodities contained in each reservation piece, and finally distribute the commodities to the city distribution center a5, at this time, the user a6 may select self-service, or the city distribution center a5 may distribute all the commodities purchased by the user a6 in one period.
Specifically, the enterprise-side mall a 1: the method has the characteristics that the purchasing of enterprise users is generally carried out according to enterprise purchase orders at the entrance of purchasing transaction, and the one-time purchasing behavior is as follows: large quantity and multiple types. Order transaction system a 2: e-commerce purchases the entry of placing the order. Splitting system a 3: the splitting service of A3 splits the order placed by the user in a period according to the splitting rule to obtain a plurality of sub-orders, and in the transfer service, namely when the sub-order information is downloaded to the warehouse, the sub-orders are paused and the order collection operation is performed, namely all the sub-orders in a cycle period are integrated into a fulfillment list, and when the information arrives at the downloading warehouse and is aged, the sub-orders are split into different fulfillment segments according to the dimensions of the warehouse, namely the fulfillment segments are downloaded to the warehouse. Warehouse management system a 4: and the WMS receives a fulfillment fragment instruction downloaded by the OFC, and packages, rechecks and exports according to the fulfillment fragment, wherein one fulfillment fragment has n boxes, and each box has different commodity details and quantity. City distribution center a 5: after a certain data or volume is reached, the fulfillment list can be centralized in the city distribution center for collection, after a fulfillment list is complete, the enterprise clients can also self-submit in the city distribution center in the enterprise client delivery process, and the user experience can be self-submitted all the time.
FIG. 4 schematically shows a block diagram of an order processing apparatus according to an embodiment of the disclosure.
As shown in fig. 4, the order processing apparatus 300 includes a splitting module 310, a generating module 320, and a first determining module 430.
A splitting module 310, configured to split the order into a plurality of sub-orders according to a splitting rule, where the order includes an order placed by a user in a period.
The generating module 320 generates a fulfillment order based on all the sub-orders in the period.
The first determining module 330 is configured to determine whether the commodities included in all the sub-orders in the fulfillment list reach the distribution center according to data returned by the distribution center.
The order processing apparatus 300 may split an order placed by a user in a period into a plurality of sub-orders according to a splitting rule, and then generate a fulfillment order based on all the sub-orders in the period, in which case, it may be determined whether the commodities included in all the sub-orders in the fulfillment order arrive at the distribution center according to data returned by the distribution center, and if the commodities included in all the sub-orders in the fulfillment order arrive at the distribution center, all the commodities purchased by the user in a period may be distributed, which effectively avoids the defects caused by the batch distribution of all the commodities purchased by the user in a period in the prior art, and thus is helpful for reducing the distribution cost for the user. Or the user can be informed to self-provide all the commodities purchased in a period to the distribution center.
According to the embodiment of the present disclosure, the order processing apparatus 300 is used to implement the order processing method described in the embodiment of fig. 1.
FIG. 5 schematically shows a block diagram of an order processing apparatus according to another embodiment of the present disclosure.
As shown in fig. 5, the order processing apparatus 400 further includes a slicing module 410 and a downloading module 420.
The slicing module 410 is configured to slice the fulfillment list according to the dimension of the warehouse to obtain a plurality of fulfillment slices.
And the downloading module 420 is configured to download the plurality of fulfillment pieces to the corresponding warehouses according to preset time, so that each warehouse packs, rechecks and delivers the sub-orders included in the fulfillment pieces before the receiving time set by the user.
The order processing device 400 may segment the sub-orders in the fulfillment list according to the dimensions of the warehouse to obtain a plurality of fulfillment pieces, and then download the fulfillment pieces to the corresponding warehouse according to preset time, so that each warehouse packs, rechecks, and delivers the sub-orders included in the fulfillment pieces before the delivery time set by the user.
According to the embodiment of the present disclosure, the order processing apparatus 400 is used to implement the order processing method described in the embodiment of fig. 2.
FIG. 6 schematically shows a block diagram of an order processing apparatus according to another embodiment of the present disclosure.
As shown in fig. 6, the order processing apparatus 500 further includes a second determining module 510 in addition to the fragmentation module 410 and the download module 420 described in the embodiment of fig. 5.
A second determining module 510, configured to determine the preset time according to the location of the warehouse and the receiving time set by the user.
In some embodiments of the present disclosure, after slicing, the sub-orders included in each track slice belong to the orders in the same warehouse, which is convenient for management, and it can also be determined according to the location of the warehouse and the receiving time set by the user when the sub-orders included in each track slice are downloaded to the warehouse, so that the time interval between the commodities of the sub-orders included in each track slice and the distribution center can be minimized, thereby ensuring that the time when the commodities purchased by the user in one period reach the distribution center is before the receiving time set by the user.
It is to be appreciated that the splitting module 310, the generating module 320, the first determining module 430, the slicing module 410, the downloading module 420, and the second determining module 510 can be combined in one module to be implemented, or any one of them can be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the invention, at least one of the splitting module 310, the generating module 320, the first determining module 430, the slicing module 410, the downloading module 420, and the second determining module 510 may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or any other reasonable manner of integrating or packaging a circuit, as hardware or firmware, or in a suitable combination of software, hardware, and firmware implementations. Alternatively, at least one of the splitting module 310, the generating module 320, the first determining module 430, the fragmenting module 410, the downloading module 420, and the second determining module 510 may be at least partially implemented as a computer program module that, when executed by a computer, may perform the functions of the respective modules.
FIG. 7 schematically shows a block diagram of a computer system of an electronic device according to an embodiment of the disclosure. The computer system illustrated in FIG. 7 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 7, a computer system 600 of an electronic device according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. The processor 601 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure described with reference to fig. 1 and 2.
In the RAM 603, various programs and data necessary for the operation of the system 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs the various steps of the order processing method described above with reference to fig. 1 and 2 by executing programs in the ROM 602 and/or RAM 603. Note that the program may also be stored in one or more memories other than the ROM 602 and RAM 603. The processor 601 may also perform the various steps of the order processing method described above with reference to fig. 1 and 2 by executing programs stored in the one or more memories.
According to an embodiment of the present disclosure, system 600 may also include an input/output (I/O) interface 607, input/output (I/O) interface 607 also connected to bus 604. The system 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
According to an embodiment of the present disclosure, the method described above with reference to the flow chart may be implemented as a computer software program. For example, 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 such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
It should be noted that the computer readable media shown in the present disclosure may be computer readable signal media or computer readable storage media 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 the present 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 contrast, in the present disclosure, 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: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing. According to embodiments of the present disclosure, a computer-readable medium may include the ROM 602 and/or RAM 603 described above and/or one or more memories other than the ROM 602 and RAM 603.
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 or flowchart illustration, and combinations of blocks in the block diagrams 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.
As another aspect, the present disclosure also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by an apparatus, cause the apparatus to perform an order processing method according to an embodiment of the present disclosure. The method comprises the following steps: splitting the order into a plurality of sub-orders according to a splitting rule, wherein the order comprises an order placed by a user in a period; generating a performance order based on all the sub orders in the period; and determining whether the commodities contained in all the sub orders in the fulfillment list reach the distribution center according to data returned by the distribution center.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims (10)

1. An order processing method, comprising:
splitting the order into a plurality of sub-orders according to a splitting rule, wherein the order comprises an order placed by a user in a period;
generating a performance order based on all the sub orders in the period;
and determining whether the commodities contained in all the sub orders in the fulfillment list reach the distribution center according to data returned by the distribution center.
2. The method of claim 1, wherein the method further comprises:
slicing the fulfillment list according to the dimension of the warehouse to obtain a plurality of fulfillment slices;
and downloading the plurality of track sheets to corresponding warehouses according to preset time so that each warehouse can pack, recheck and deliver the sub-orders contained in the track sheets before the receiving time set by the user.
3. The method of claim 2, wherein the method further comprises:
and determining the preset time according to the position of the warehouse and the receiving time set by the user.
4. The method of claim 1, wherein the sub-orders included in the fulfillment order belong to different warehouses, different parent orders, and different order placement times.
5. An order processing apparatus comprising:
the splitting module is used for splitting the order into a plurality of sub-orders according to a splitting rule, wherein the order comprises an order made by a user in a period;
the generation module generates a fulfillment form based on all the sub orders in the period;
and the first determining module is used for determining whether the commodities contained in all the sub orders in the fulfillment list reach the distribution center according to the data returned by the distribution center.
6. The apparatus of claim 5, wherein the apparatus further comprises:
the fragment module is used for fragmenting the fulfillment list according to the dimension of the warehouse to obtain a plurality of fulfillment fragments;
and the downloading module is used for downloading the plurality of track sheets to the corresponding warehouses according to preset time so that each warehouse can pack, recheck and deliver the sub-orders contained in the track sheets before the receiving time set by the user.
7. The apparatus of claim 6, wherein the apparatus further comprises:
and the second determining module is used for determining the preset time according to the position of the warehouse and the receiving time set by the user.
8. The apparatus of claim 5, wherein the sub-orders included in the fulfillment order belong to different warehouses, different parent orders, and different order placement times.
9. An electronic device, comprising:
one or more processors; and
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-4.
10. A computer readable medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 4.
CN201810893010.0A 2018-08-07 2018-08-07 Order processing method and device, electronic equipment and medium Pending CN110826944A (en)

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CN112308477A (en) * 2020-03-24 2021-02-02 北京沃东天骏信息技术有限公司 Inventory positioning method and device
CN113298451A (en) * 2020-04-30 2021-08-24 阿里巴巴集团控股有限公司 Distribution method, distribution device, distribution equipment and storage medium
CN113762843A (en) * 2020-10-15 2021-12-07 北京京东乾石科技有限公司 Warehouse-out method and warehouse-out device
US20220245576A1 (en) * 2021-01-30 2022-08-04 Walmart Apollo, Llc Route plan using non-homogenous equipment via ocean routes
CN114971500A (en) * 2022-07-28 2022-08-30 国连科技(浙江)有限公司 Logistics shipment management method and system
CN115511559A (en) * 2022-09-16 2022-12-23 广州方舟信息科技有限公司 Order fulfillment method and system including virtual commodity transaction
CN115860612A (en) * 2023-02-14 2023-03-28 北京小仙炖生物科技有限公司 Periodic order splitting method and management system

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112308477A (en) * 2020-03-24 2021-02-02 北京沃东天骏信息技术有限公司 Inventory positioning method and device
CN113298451A (en) * 2020-04-30 2021-08-24 阿里巴巴集团控股有限公司 Distribution method, distribution device, distribution equipment and storage medium
CN113762843A (en) * 2020-10-15 2021-12-07 北京京东乾石科技有限公司 Warehouse-out method and warehouse-out device
CN113762843B (en) * 2020-10-15 2024-05-24 北京京东乾石科技有限公司 Exit method and ex-use device
US20220245576A1 (en) * 2021-01-30 2022-08-04 Walmart Apollo, Llc Route plan using non-homogenous equipment via ocean routes
CN114971500A (en) * 2022-07-28 2022-08-30 国连科技(浙江)有限公司 Logistics shipment management method and system
CN114971500B (en) * 2022-07-28 2022-12-30 国连科技(浙江)有限公司 Logistics shipment management method and system
CN115511559A (en) * 2022-09-16 2022-12-23 广州方舟信息科技有限公司 Order fulfillment method and system including virtual commodity transaction
CN115860612A (en) * 2023-02-14 2023-03-28 北京小仙炖生物科技有限公司 Periodic order splitting method and management system

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