CN116823380A - Automatic E-commerce order processing method and device - Google Patents
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- 238000003672 processing method Methods 0.000 title claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 35
- 238000012216 screening Methods 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims abstract description 22
- 230000002159 abnormal effect Effects 0.000 claims abstract description 11
- 238000012550 audit Methods 0.000 claims abstract description 5
- 238000013507 mapping Methods 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 claims description 11
- 230000001502 supplementing effect Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract 1
- 238000011161 development Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
Abstract
The application provides an automatic processing method and device for an e-commerce order. The method comprises the following steps: receiving orders of all electronic stores or platforms, and generating summarized orders; screening out unlabeled orders from the summarized orders, and leaving standard orders; the nonstandard order includes: remark orders, abnormal orders, and invalid orders; analyzing the standard order to obtain the source, commodity information and receiving address of the standard order; matching the receiving address of the standard order with a locally stored address database to check whether the receiving address of the standard order is correct; and if the receiving address of the standard order passes the audit, locking the inventory goods according to the source and the goods information of the standard order, and generating a delivery order. The automatic processing method and the automatic processing device for the E-commerce order can automatically split the order or combine the order according to the strategy, match gifts, deliver warehouse and deliver logistics, reduce manual intervention and reduce maintenance cost.
Description
Technical Field
The application relates to the field of order processing, in particular to an automatic E-commerce order processing method and device.
Background
When the merchant sells goods on each electronic commerce platform, the basic information such as goods category, goods receiving address and the like of each platform are different. After the user places an order, the system automatically downloads the orders of all the platforms into the system, the system cannot automatically identify the commodity category, and the system needs to check manually. During the period of double eleven and other large promotion, when the order quantity is too large, the order quantity cannot be handled in time manually.
The address libraries of the platforms are different, the accurate addresses cannot be matched after the orders are downloaded, manual secondary confirmation is needed, and the nodes such as follow-up node warehouse delivery, logistics delivery and the like cannot be performed.
When a merchant performs a sales promotion, in order to achieve different purposes, including drawing a new, removing an inventory, expanding brand awareness, pushing a new, improving competitiveness, improving customer unit price and customer quantity, the existing system cannot meet the multi-dimensional differentiated requirements of the merchant on commodities, orders, stores and platforms.
When logistics cannot be shipped due to objective factors, the system does not need to deal with strategies, manual interception is needed, the logistics is easy to be staggered, and the piece-following cost and the logistics cost are increased.
Disclosure of Invention
The application provides an automatic processing method and device for an e-commerce order, which are used for solving the problem that manual work cannot be processed in time when the order quantity is too large, aiming at improving the competitiveness of a merchant and meeting the multi-dimensional differentiation requirements of the merchant in commodities, orders, stores and platforms.
The technical scheme of the automatic processing method of the E-commerce order provided by the application is as follows,
in some embodiments, the method for automatically processing an e-commerce order provided by the application comprises the following steps:
receiving orders of all electronic stores or platforms, and generating summarized orders;
screening out unlabeled orders from the summarized orders, and leaving standard orders; the nonstandard order includes: remark orders, abnormal orders, and invalid orders;
analyzing the standard order to obtain the source, commodity information and receiving address of the standard order;
matching the receiving address of the standard order with a locally stored address database to check whether the receiving address of the standard order is correct;
and if the receiving address of the standard order passes the audit, locking the inventory goods according to the source and the goods information of the standard order, and generating a delivery order.
In some embodiments, after screening the aggregate order for non-standard orders, further comprising:
and automatically intercepting the nonstandard order and submitting the nonstandard order to manual auditing.
In some embodiments, prior to receiving the order for each electronic store or platform, further comprising:
and establishing a mapping relation between the platform commodity and the local commodity and a mapping relation between the shop commodity and the local commodity, automatically matching the commodity through the commodity number code and the specification code, and performing shop commodity processing on the platform or the shop.
In some embodiments, after said matching the shipping address of the standard order with a locally stored address database, further comprising:
if the local address is not matched correctly, the standard order is manually matched;
and automatically updating the platform address library at regular intervals and supplementing the local address library data.
In some implementations, after generating the shipping order, further comprising:
after the delivery order is generated, splitting the delivery order into a plurality of sub orders according to a preset rule for delivery;
and monitoring inventory information in real time, and early warning when the inventory is insufficient.
In some embodiments, after splitting the shipping order into a plurality of sub orders according to a preset rule for shipping, the method further includes:
and combining a plurality of sub orders of the same customer according to preset conditions, and then delivering the sub orders, wherein the preset conditions comprise the same sales platform, the same ordering account number, the same receiving address, the same receiving person, the same mobile phone number and the same payment mode.
In some embodiments, based on the same technical concept, the present application further provides an automatic processing device for an e-commerce order, including:
the order summarizing module is used for receiving orders of all the electronic store pavements or platforms and generating summarized orders;
the order screening module is used for screening out unlabeled orders from the summarized orders, and leaving standard orders; the nonstandard order includes: remark orders, abnormal orders, and invalid orders;
the order analysis module is used for analyzing the standard order and acquiring the source, commodity information and receiving address of the standard order;
the order checking module is used for matching the receiving address of the standard order with a locally stored address database so as to check whether the receiving address of the standard order is correct;
and the delivery module is used for locking the inventory goods according to the source of the standard order and the goods information and generating a delivery order when the receiving address of the standard order passes the examination and verification.
In some embodiments, the order screening module specifically includes:
the screening sub-module is used for screening out standard orders and nonstandard orders;
and the order interception sub-module is used for automatically intercepting the nonstandard order and submitting the nonstandard order to manual auditing.
In some embodiments, the shipping module specifically includes:
the order splitting sub-module is used for splitting the delivery order into a plurality of sub-orders for delivery according to a preset rule after the delivery order is generated;
and the inventory monitoring sub-module is used for monitoring inventory information in real time and carrying out early warning when the inventory is insufficient.
In some embodiments, the automatic processing device for e-commerce orders further includes:
the shop goods module is used for establishing a mapping relation between the platform goods and the local goods and a mapping relation between the shop goods and the local goods, automatically matching the goods through goods number codes and specification codes and performing shop goods processing on the platform or the shop;
and the address library module is used for automatically updating the platform address library at regular intervals and supplementing local address library data.
The automatic processing method and device for the E-commerce order provided by the application at least have the following steps
The beneficial effects are that:
1. according to the automatic processing method for the E-commerce order, the mapping relation between the local commodity and the platform commodity is automatically maintained, unified conversion cleaning is carried out on the address data of each platform, the mapping relation between the local address and the platform address is automatically maintained, the automatic processing function of a program is further ensured, and the order processing energy investment of merchants on different platforms and different shops is greatly saved.
2. The automatic processing method for the E-commerce order provided by the application can ensure that the receiving address information filled by the user on the shopping platform can be accurately matched with the logistics under the condition of automatic processing of the system.
3. The automatic processing method of the E-commerce order can reasonably carry out inventory allocation according to the receiving address and the real-time inventory information, define the price of a carrier, ensure the logistics cost and the delivery time according to the commodity type, the shop setting and other personalized parameters, preset the unreachable area for the logistics decision and prevent the warehouse from delivering goods, and reduce the spare-following cost.
Drawings
The foregoing features, technical features, advantages and implementation of a method and apparatus for automatically processing an e-commerce order will be further described in the following description of preferred embodiments with reference to the accompanying drawings in a clearly understandable manner.
FIG. 1 is a flow chart of one embodiment of a method for automatically processing an e-commerce order of the present application;
FIG. 2 is a block diagram of one embodiment of an automated electronic commerce order processing apparatus of the present application;
FIG. 3 is a block diagram of another embodiment of an automated electronic commerce order processing apparatus of the present application;
FIG. 4 is a block diagram of an automated electronic commerce order processing apparatus of another embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
In addition, in the description of the present application, the terms "first," "second," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description will explain the specific embodiments of the present application with reference to the accompanying drawings. It is evident that the drawings in the following description are only examples of the application, from which other drawings and other embodiments can be obtained by a person skilled in the art without inventive effort.
In one embodiment, referring to fig. 1, the method for automatically processing an e-commerce order provided by the present application includes the steps of:
s100, receiving orders of all electronic stores or platforms, and generating summarized orders;
s200, screening out unlabeled orders from the summarized orders, and leaving standard orders; the nonstandard order includes: remark orders, abnormal orders, and invalid orders;
s300, analyzing the standard order, and acquiring the source, commodity information and receiving address of the standard order;
s400, matching the receiving address of the standard order with a locally stored address database to check whether the receiving address of the standard order is correct;
s500, if the receiving address of the standard order passes the audit, locking the inventory goods according to the source and the goods information of the standard order, and generating a delivery order.
Specifically, merchants usually operate on a plurality of platforms when opening online stores, and the stores of all the electronic commerce platforms have customer orders, so that the method provided by the application can collect the store orders of all the electronic commerce platforms to form and process the collected orders. The summary orders have standard orders and nonstandard orders, namely nonstandard orders. Here, nonstandard orders mainly include invalid orders, such as personal behavior of customers to intentionally return goods or money after taking up goods of merchants; abnormal orders, wherein the abnormal orders refer to actions such as taking accounts of unpaid payments, taking inventory, returning few goods/falling packages or abusing the interests of buyers and unreal buying will in the transaction process; remark orders, as the name implies, refer to orders for which the customer has some special needs. After screening out the nonstandard orders, the standard orders are left to enter the next step, and key information such as sources, commodity information, receiving addresses and the like of the standard orders are analyzed. And then matching the acquired receiving address with a locally stored address database, and checking whether the address information filled in the order is correct or not so as to generate a delivery order later. And if the verification is passed, locking the corresponding commodity in the inventory according to the source of the standard order and the commodity information, and generating a delivery order.
In one embodiment, in step S200, after screening out the unlabeled order from the aggregate order, leaving the standard order, further comprising:
automatically intercepting the nonstandard order and submitting the nonstandard order to manual auditing.
Specifically, under the conditions that remarks exist, the orders are abnormal and suspected invalid, customer service personnel can check the orders, and under the conditions that commodity selling price is lower than cost price, preferential amount is too high, the orders need to be invoiced and the like, the financial checking can be performed, so that the accuracy of the orders is ensured, and the loss is reduced.
In one embodiment, on the basis of the above embodiment, before receiving the order of each electronic shop or platform, the method further comprises:
and establishing a mapping relation between the platform commodity and the local commodity and a mapping relation between the shop commodity and the local commodity, automatically matching the commodity through the commodity number code and the specification code, and performing shop commodity processing on the platform or the shop.
Specifically, local commodities are added to store SKUs, minimum Stock Keeping Units (SKUs), all known as StockKeeping Unit, i.e., the base unit of inventory in and out metering, may be in units of pieces, boxes, trays, and the like. And downloading and storing the platform commodity as a shop selling SKU, and automatically matching the commodity through the commodity number code and the specification code.
In one embodiment, after matching the receiving address of the standard order with the locally stored address database, the method further comprises:
if the local address is not matched correctly, the standard order is delivered to the personnel for matching;
and automatically updating the platform address library at regular intervals and supplementing the local address library data.
Specifically, if the receiving address of the order can be correctly matched with the local address, the automatic checking is passed. When the mapped local address cannot be matched, the order is locked and manually matched, and the order is marked as address mapping abnormality. The method is characterized in that the method performs unified processing on the nonstandard address data of each e-commerce platform, wherein the nonstandard address data comprise direct administration city, ground level city, development area, autonomous area, wrongly written characters and the like, and the unmatched data are automatically stored and automatically corrected through preset rules. And automatically updating the platform address library at regular intervals, and supplementing and completing the local address library data.
In one embodiment, after generating the shipping order, on the basis of the above embodiment, further comprising:
after the shipping order is generated, splitting the shipping order into a plurality of sub orders according to a preset rule for shipping;
and monitoring inventory information in real time, and early warning when the inventory is insufficient.
Specifically, after the order is generated, the order is split according to conditions such as merchants, warehouses, commodities, amounts, logistics and the like as required, and the order is divided into a plurality of sub-orders for delivery. In the meantime, to increase the automatic processing degree of the method, a promotion node can be added to obtain the configuration of the dimension of the goods owner, the store and the SKU, and the promotion strategy and the promotion plan of the corresponding time period are matched according to the order condition (transaction type, receiving address, membership benefit, remarks and the like). If the conditions are met, the rules are checked according to the configuration of the giving modes, such as fixed giving, N-name grouping, random giving, sequential giving, random number, accumulation, only once (only once a day, only once all), and the like, and the corresponding gift giving is carried out according to the activity types (commodity number, order amount and commodity item number). Meanwhile, the real-time monitoring of inventory information is guaranteed, early warning is carried out in time when inventory is insufficient, and the actions such as replenishment, allocation and the like are carried out, so that business development is prevented from being influenced due to insufficient inventory.
In an embodiment, after splitting the shipping order into a plurality of sub orders according to a preset rule for shipping on the basis of the above embodiment, the method further includes:
and combining the multiple sub orders of the same customer according to preset conditions, and then delivering the combined sub orders, wherein the preset conditions comprise the same sales platform, the same ordering account number, the same receiving address, the same receiving person, the same mobile phone number and the same payment mode.
Specifically, sometimes, the same customer can issue a plurality of commodities at the same time, and at the moment, only a plurality of orders of the same customer are combined and shipped together, and the plurality of orders are shipped together, and only a package is signed and received once; the operation cost of a warehouse and the logistics cost of distribution can be saved. The merchant can perform the rule of closing the order according to the same sales platform, the same member account number, the same receiving address, the same receiver, the same mobile phone number, the same payment mode (online payment/payment to store), the same warehouse, the same order type (such as common order, pre-selling order), the same customer remark (same or no remark as customer remark), the same invoicing mode (same invoice and head up information, or no invoice) and the same delivery mode (self-lifting/delivery).
In one embodiment, based on the same technical concept, the present application further provides an automatic processing device for an e-commerce order, referring to fig. 2, including:
the order summarizing module 10 is used for receiving orders of all the electronic shop or platform and generating summarized orders;
an order screening module 20 for screening out unlabeled orders from the summarized orders, leaving standard orders; the nonstandard order includes: remark orders, abnormal orders, and invalid orders;
the order analysis module 30 is used for analyzing the standard order and obtaining the source, commodity information and receiving address of the standard order;
an order checking module 40, configured to match the receiving address of the standard order with a locally stored address database, so as to check whether the receiving address of the standard order is correct;
and the shipping module 50 is used for locking the stock commodity according to the source and commodity information of the standard order and generating a shipping order when the receiving address of the standard order passes the audit.
Specifically, an order summarizing module is used for acquiring orders of all electronic stores or platforms to form summarized orders. And screening orders in the summarized orders, and screening out nonstandard orders. And then analyzing the standard order left after screening through an order analysis module to obtain the source of the standard order, commodity information, a receiving address and other key information. And then the order auditing module is used for auditing, if the order auditing module can be correctly matched with the locally stored address database when the address is matched, the standard order auditing is passed, and meanwhile, the order auditing module is used for carrying out delivery processing, and the inventory commodity is locked according to the order information, so that a delivery order is generated.
In another embodiment, referring to fig. 3, based on the foregoing embodiment, the order filtering module specifically includes:
a screening sub-module 21 for screening out standard orders and nonstandard orders;
the order interception sub-module 22 is used for automatically intercepting nonstandard orders and submitting the nonstandard orders to manual auditing.
Specifically, the screening sub-module is mainly used for screening standard orders and nonstandard orders, wherein the nonstandard orders comprise invalid orders, remark orders, abnormal orders and the like. For nonstandard orders, the system automatically intercepts and delivers manual further auditing.
In another embodiment, referring to fig. 4, based on the above embodiment, the shipping module specifically includes:
the order splitting sub-module 51 is configured to split the shipping order into a plurality of sub-orders according to a preset rule for shipping after the shipping order is generated;
the inventory monitoring sub-module 52 is used for monitoring inventory information in real time and giving early warning when the inventory is insufficient.
Specifically, because the standard orders screened in the order are summarized, the order is still required to be split into a plurality of sub orders for shipment processing through the order splitting sub module, and the order can be split according to conditions of merchants, warehouses, commodities, amounts, logistics and the like as required and the order is split into a plurality of sub orders for shipment. Meanwhile, the inventory monitoring sub-module can monitor the inventory after delivery in real time, early warn in time when the inventory is insufficient, and perform the actions of replenishment, allocation and the like, so that the business development is prevented from being influenced by the insufficient inventory.
In another embodiment, on the basis of the foregoing embodiment, the automatic processing device for an e-commerce order provided by the present application further includes:
the shop goods module is used for establishing a mapping relation between the platform goods and the local goods and a mapping relation between the shop goods and the local goods, automatically matching the goods through goods number codes and specification codes and performing shop goods processing on the platform or the shop;
and the address library module is used for automatically updating the platform address library at regular intervals and supplementing local address library data.
Specifically, in order to solve the mapping relationship between the platform commodity and the local commodity, the mapping relationship between the shop commodity and the local commodity are established through a shop commodity module, the local commodity is added to a shop SKU, the platform commodity is downloaded and stored as the shop commodity in a sales SKU, and the commodity is automatically matched through a commodity number code and a specification code. And the address library module is used for periodically maintaining the platform address library and supplementing and completing the local address library data.
They may be implemented in program code that is executable by a computing device such that they may be stored in a memory device for execution by the computing device, or they may be separately fabricated into individual integrated circuit modules, or a plurality of modules or steps in them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and the parts of a certain embodiment that are not described or depicted in detail may be referred to in the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
It should be noted that the above embodiments can be freely combined as needed. The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (10)
1. An automatic processing method for an e-commerce order is characterized by comprising the following steps:
receiving orders of all electronic stores or platforms, and generating summarized orders;
screening out unlabeled orders from the summarized orders, and leaving standard orders; the nonstandard order includes: remark orders, abnormal orders, and invalid orders;
analyzing the standard order to obtain the source, commodity information and receiving address of the standard order;
matching the receiving address of the standard order with a locally stored address database to check whether the receiving address of the standard order is correct;
and if the receiving address of the standard order passes the audit, locking the inventory goods according to the source and the goods information of the standard order, and generating a delivery order.
2. The method of claim 1, further comprising, after screening the aggregate orders for unlabeled orders:
and automatically intercepting the nonstandard order and submitting the nonstandard order to manual auditing.
3. The method of automated processing of e-commerce orders of claim 2, further comprising, prior to receiving the order for each e-shop or platform:
and establishing a mapping relation between the platform commodity and the local commodity and a mapping relation between the shop commodity and the local commodity, automatically matching the commodity through the commodity number code and the specification code, and performing shop commodity processing on the platform or the shop.
4. A method of automated processing of e-commerce orders as claimed in claim 3, further comprising, after said matching of the order receipt address of said standard order with a locally stored address database:
if the local address is not matched correctly, the standard order is manually matched;
and automatically updating the platform address library at regular intervals and supplementing the local address library data.
5. The automated method of processing an e-commerce order of any one of claims 1 to 4, further comprising, after generating the shipping order:
after the delivery order is generated, splitting the delivery order into a plurality of sub orders according to a preset rule for delivery;
and monitoring inventory information in real time, and early warning when the inventory is insufficient.
6. The method for automatically processing an e-commerce order according to claim 5, wherein after splitting the shipping order into a plurality of sub-orders according to a preset rule for shipping, further comprising:
and combining a plurality of sub orders of the same customer according to preset conditions, and then delivering the sub orders, wherein the preset conditions comprise the same sales platform, the same ordering account number, the same receiving address, the same receiving person, the same mobile phone number and the same payment mode.
7. An automatic processing device for an e-commerce order, comprising:
the order summarizing module is used for receiving orders of all the electronic store pavements or platforms and generating summarized orders;
the order screening module is used for screening out unlabeled orders from the summarized orders, and leaving standard orders; the nonstandard order includes: remark orders, abnormal orders, and invalid orders;
the order analysis module is used for analyzing the standard order and acquiring the source, commodity information and receiving address of the standard order;
the order checking module is used for matching the receiving address of the standard order with a locally stored address database so as to check whether the receiving address of the standard order is correct;
and the delivery module is used for locking the inventory goods according to the source of the standard order and the goods information and generating a delivery order when the receiving address of the standard order passes the examination and verification.
8. The automatic processing device for e-commerce orders according to claim 7, wherein the order filtering module specifically comprises:
the screening sub-module is used for screening out standard orders and nonstandard orders;
and the order interception sub-module is used for automatically intercepting the nonstandard order and submitting the nonstandard order to manual auditing.
9. The automated processing unit of claim 7, wherein the shipping module specifically comprises:
the order splitting sub-module is used for splitting the delivery order into a plurality of sub-orders for delivery according to a preset rule after the delivery order is generated;
and the inventory monitoring sub-module is used for monitoring inventory information in real time and carrying out early warning when the inventory is insufficient.
10. An automated processing unit for e-commerce orders according to any one of claims 7 to 9, further comprising:
the shop goods module is used for establishing a mapping relation between the platform goods and the local goods and a mapping relation between the shop goods and the local goods, automatically matching the goods through goods number codes and specification codes and performing shop goods processing on the platform or the shop;
and the address library module is used for automatically updating the platform address library at regular intervals and supplementing local address library data.
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| CN107180370A (en) * | 2016-03-10 | 2017-09-19 | 阿里巴巴集团控股有限公司 | Merchandise items information processing method, apparatus and system |
| CN106127549A (en) * | 2016-06-17 | 2016-11-16 | 杭州笛佛软件有限公司 | E-commerce order management method and system |
| CN111340593A (en) * | 2020-02-27 | 2020-06-26 | 上海百秋电子商务有限公司 | Method for automatically auditing and confirming order of E-commerce platform |
| CN111681073A (en) * | 2020-05-26 | 2020-09-18 | 杭州云徙科技有限公司 | All-channel operation system and all-channel operation method |
| CN112308685A (en) * | 2020-11-24 | 2021-02-02 | 上海百胜软件股份有限公司 | Control system and method for full channel order, electronic equipment and storage medium |
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