CN117893142A - Method, system, electronic device and storage medium for overseas warehouse order matching - Google Patents

Abstract

The application relates to the field of e-commerce logistics and provides a method, a system, electronic equipment and a storage medium for ordering overseas warehouses, wherein the method comprises the steps of classifying and combining orders with the same structure and generating a barcode of an exploded combined commodity; acquiring warehouse inventory, calculating whether order demands are met, and if so, issuing an order; generating a goods picking path of the goods shelf corresponding to the barcode of the exploded combined goods, and generating a goods picking bill; and sorting, packing and delivering according to the order. According to the technical scheme, the orders of the burst money are screened, classified and combined, the bar codes of the combined commodity of the burst money are established, the picking path is planned in combination with the warehouse condition, the rapid batch error-free operation can be realized when the E-commerce is greatly promoted, the timely delivery and delivery of the warehouse orders are effectively ensured, the labor intensity is reduced, the delivery error rate of the orders is reduced, the delivery of the orders is carried out in the shortest time, and the shopping experience of consumers of the E-commerce is improved.

Description

Method, system, electronic device and storage medium for overseas warehouse order matching

Technical Field

The present application relates to the field of intelligent logistics warehousing technology, and in particular to a method, system, electronic equipment and storage medium for overseas warehouse order matching.

Background technique

Intelligent logistics is to use advanced Internet of Things technologies such as barcodes, radio frequency identification technology, sensors, and global positioning systems, through information processing and network communication technology platforms, to apply to basic activities such as transportation, warehousing, distribution, packaging, loading and unloading in the logistics industry, to achieve automated operation and efficient optimization management of the cargo transportation process, improve the service level of the logistics industry, reduce costs, and reduce the consumption of natural and social resources. With the development of network technology and e-commerce, cross-border e-commerce as a part of it has also become popular. The high demand of users for the timeliness of online shopping orders has led to the emergence of cross-border e-commerce overseas warehouses. In the past, when overseas warehouses processed orders, people pushed picking trucks to pick up the goods required for each order on the shelves and then packed them for shipment. Because there were different types and quantities of combined goods, sorting and distribution orders were also required, which was labor-intensive, inefficient, and prone to errors. Therefore, how to improve the efficiency of warehouse picking and distribution operations, reduce order delivery time, reduce labor, and reduce the error rate of distribution is an important issue that needs to be solved in the current overseas warehousing industry.

Summary of the invention

In order to help improve the current problem of low efficiency in logistics warehousing and outbound delivery, the present application provides a method, system, electronic device and storage medium for overseas warehouse order matching.

In a first aspect, the present application provides a method for matching overseas warehouse orders, which is used in a logistics system, and the method comprises:

S10: Classify and combine orders with the same structure, and generate barcodes for popular combination products;

S20: Get the warehouse inventory and calculate whether the order requirements are met. If so, place the order;

S30: Generate a picking path for the shelf corresponding to the barcode of the popular combination product, and generate a picking list;

S40: picking, sorting, packing and shipping out according to the picking list.

Furthermore, the orders with the same structure are: the orders include the same types of goods and the same quantity of each type of goods; wherein the number of the goods is at least two.

Furthermore, the process of generating the barcode of the hot-selling combination product includes:

The classified and combined commodities are multiplied by the quantity according to the commodity SKU code, and the natural order is taken to obtain a combination sequence; and the barcode of the hot-selling combination commodity of the combination sequence is generated by a preset coding algorithm.

Furthermore, the encoding algorithm includes an MD5 message digest algorithm.

Furthermore, before generating the picking list, it also includes obtaining the inventory outbound priority rules.

Furthermore, the priority rules include: outbound delivery based on the order of entry, clearing shelves first, or outbound delivery based on expiring goods first.

Furthermore, after the picking list is generated, the goods in the picking list are picked out, and the goods in the picking list are sorted again, packaged and labeled, and the order is signed out of the warehouse.

In a second aspect, a system for matching orders for overseas warehouses is provided, which is used to match the orders as described above, and includes:

Classification module: classify and combine orders with the same structure, and generate barcodes for popular combination products;

Warehouse module: obtain warehouse inventory, calculate whether the order requirements are met, and if so, place an order;

Planning module: Generates the picking path for the shelf corresponding to the barcode of the popular combination product, and generates a picking list;

Picking module: picking, sorting, packing and shipping according to the picking list.

In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

An electronic device, comprising:

at least one processor;

Memory;

At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a method for matching overseas warehouse orders.

In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute any one of the overseas warehouse order matching methods provided in the first aspect.

To sum up, the technical solution of the present application screens, classifies and combines orders for popular products, establishes barcodes for popular combination products, and plans the optimal picking route based on warehouse conditions. During e-commerce promotions, it can achieve fast batch and error-free operations, effectively ensure that warehouse orders are distributed and shipped out in time, reduce manual labor intensity, reduce the error rate of order shipment, ship orders out of the warehouse in the shortest time, and improve the shopping experience of e-commerce consumers.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a method for matching overseas warehouse orders provided in an embodiment of the present application;

FIG2 is a schematic diagram of a system module for overseas warehouse order matching provided in an embodiment of the present application;

FIG3 is a schematic diagram of the principle of an electronic device provided in an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with Figures 1-3 and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

An embodiment of the present application provides a method for matching overseas warehouse orders, which is used in an overseas warehouse management system.

This embodiment uses an overseas warehouse management system as an application example to specifically illustrate the above method. In actual implementation, the above method can also be used in other logistics warehouses, and this embodiment does not limit this.

Referring to FIG. 1 , a method for matching orders of overseas warehouses includes:

S10: First, obtain order information from the e-commerce platform; classify and combine orders with the same structure, and generate barcodes for popular combination products;

S20: Get the warehouse inventory and calculate whether the order requirements are met. If so, place the order;

S30: Generate the optimal picking path for the shelf corresponding to the barcode of the popular combination product, and generate a picking list;

S40: Pick, sort, pack and ship out according to the picking list.

In this embodiment, the orders of hot-selling products are screened, classified and combined, and barcodes for the hot-selling combination products are established. The picking route is planned in combination with the warehouse situation. During e-commerce promotions, fast batch and error-free operations can be achieved, effectively ensuring that warehouse orders are distributed and shipped in time, reducing manual labor intensity, reducing the error rate of order shipment, and shipping orders in the shortest time, thereby improving the shopping experience of e-commerce consumers.

In the embodiment of the present invention, the orders with the same structure are: the orders include the same types of goods and the same quantity of each type of goods; wherein the types of goods are at least two. For some popular products, a large number of such orders with the same structure will be generated. Through this classification method, multiple orders with the same structure can be picked up by walking along the path once.

The process of generating the barcode of the popular combination product includes:

The classified and combined products are multiplied by the product SKU (Stock Keeping Unit) code and the quantity, and the combination sequence is obtained by natural sorting; the hot-selling combination product barcode of the combination sequence is generated through a preset coding algorithm.

Based on this embodiment, the encoding algorithm includes the MD5 information digest algorithm, which can ensure that the barcode of each hot-selling combination product in each hot-selling order is unique. Of course, it can also be other encoding algorithms, which are not limited to the description in this embodiment.

In an embodiment of the present invention, before generating a picking list, it also includes obtaining the priority rules for outbound delivery of inventory. The priority rules in this embodiment may include: outbound delivery in order of entry, clearing shelves first, or outbound delivery of expiring goods first. Of course, it can also be other rules, and the rules can also be configured according to the current needs of the warehouse, which is not limited to the description in this embodiment.

Specifically, in step S40, the goods in the picking list are picked out, and the goods in the picking list are sorted again, packaged and labeled, and the order is signed out and shipped out. Through this step, the three processes of secondary sorting, packaging and labeling, and order signing out and shipping in traditional overseas warehouses can be combined into one process operation in one workstation process, which greatly improves the warehouse operation efficiency.

In another example, the method process is:

In the classification step, orders with the same structure and containing M kinds of goods are obtained, where the same structure means that the goods in the order are the same, the quantity of goods is the same, and M is greater than 1.

Sorting calculation steps: the above order products are sorted naturally after multiplying the product SKU code by the quantity. Natural sorting means 0-9, a-z, A-Z, with numbers first. After sorting, they are concatenated in sequence to obtain the order product combination sequence, and then the md5 hash value of the combination sequence is taken to ensure that the combination product barcode of each hot-selling order is unique.

For example, if the ordered product and quantity are 1 Model A mobile phone and 2 Model B mobile phones, the sorting sequence is A103_A*2_B*1, and the combination barcode is ZH00001. Thus, the combination barcode and the order product inventory have established a corresponding relationship. This combination barcode determines a hot-selling order, and all orders with the same structure belong to the same combination product barcode and are classified as a hot-selling order.

Product inventory acquisition is used to calculate whether the products that need to be picked and distributed for the order are valid. Validity refers to whether the physical inventory in the warehouse meets the quantity requirements of the order. When the quantity of the order is sufficient, the picking product inventory of the order is allocated according to the inventory delivery priority rules preset by the warehouse. The delivery priority rules in this embodiment refer to: the first-in-warehouse-first-out priority rule, the empty shelf priority rule, and the priority rule for expiring products.

When generating a delivery list for hot-selling orders, the hot-selling orders are prioritized to be sorted according to the combination barcodes calculated above, and the picking list for the hot-selling orders is generated. The picking list lists the inventory and quantity of the goods to be picked in natural order according to the combination barcodes. The pickers only need to pick the goods from the shelves according to the order of the inventory listed on the picking list. After the hot-selling orders are calculated and classified in advance, only one picking list needs to be generated to include all the hot-selling orders, avoiding the traditional picking list that generates multiple picking list tasks due to no calculation, and requiring pickers to walk back and forth to pick goods, thereby improving the picking efficiency and avoiding multiple picking of mixed order goods that may lead to errors in picking goods.

Picking for hot-selling orders is used for centralized picking of goods from the inventory of hot-selling orders. Pickers pick the goods on the hot-selling order picking list from the shelves and put them into picking carts or picking boxes until the goods on the picking list are picked. At this time, the picking of hot-selling orders is marked as completed.

Hot-selling orders are sorted, packed and shipped out. In one workstation process, the three processes of secondary sorting, packing and labeling, and order check-out and shipment in traditional overseas warehouses can be combined into one process operation, which greatly improves the warehouse operation efficiency. With the hot-selling order combination product barcode, in this module, the main user only needs to scan the combination product code to display all the hot-selling order information on the screen. At this time, the operator only needs to put the products into the packaging bag in turn for packaging, and print out the logistics label at the same time, and stick it on the outer packaging of the order to complete the hot-selling order check-out and shipment.

As another embodiment of the present invention, the method specifically comprises the following steps:

Pull valid order information from the cross-border e-commerce platform, generate overseas warehouse shipment order information, and import order information in real time through the official API interface of the seller associated with the cross-border e-commerce platform, including order items and quantities. In this way, you can get the order pool of warehouse shipment orders, including popular orders.

According to the warehouse delivery order data, the characteristic information of the order goods is obtained, including the product category and the product quantity, to generate the hot-selling order combination product barcode, which is used for product inventory allocation, shelf picking, and order distribution modules. The hot-selling order product combination code can determine the product information required for this order, and is the warehouse operation process scanning voucher for the hot-selling order. The hot-selling order combination product barcode is obtained through calculation, and each combination product barcode can identify a type of hot-selling order. The calculation method is: each product code is spliced with the delivery quantity, and finally spliced into a complete product information string according to the natural sorting.

Get the barcode order information of the combination product to be allocated, allocate the inventory after valid inventory detection, and then remove the combination product from the shelves according to the combination product removal rules preset by the warehouse manager to generate a hot-selling order picking list. The products on the hot-selling order picking list all belong to the same hot-selling order, and the picking order is also sorted according to the barcode of the combination product of the hot-selling order. There is no need to walk back and forth, and the picking can be completed in one pass through the path.

After the picking module generates a picking list, the number of products required for the hot-selling orders is picked from the product inventory shelves in the warehouse picking area according to the picking path based on the picking list information. The hot-selling order picking list lists the number of products to be picked and the location of the picking shelves in sequence. The pickers can pick all the hot-selling order products in one pass according to the picking shelf path. Compared with the traditional overseas warehouse picking list, the same order products need to execute repeated paths multiple times, and the picking efficiency has been greatly improved.

The warehouse picker scans the barcode of the hot-selling order combination product, which can quickly sort and pack the hot-selling order products, and at the same time sign out the order, affix the logistics label for delivery. After the picker finishes picking the hot-selling order products in stock, it is time for the order picker. The picker only needs to use a barcode scanner to scan the hot-selling order combination product barcode once, and the system page will display the complete product information. The picker will directly pack it after checking, and the express delivery label of the order will also be printed out and affixed to the outer packaging of the order. One order completes the warehouse delivery process. In this way, a batch of orders can be completed quickly. The traditional overseas warehouse operation process requires three separate operation links: secondary sorting, packaging and labeling, and order sign-out, which can increase efficiency by more than three times.

Referring to FIG. 2 , the present invention further provides a system for matching overseas warehouse orders, including:

Classification module: classify and combine orders with the same structure, and generate barcodes for popular combination products;

Warehouse module: obtain warehouse inventory, calculate whether the order requirements are met, and if so, place an order;

Planning module: Generate the shortest picking path for the shelves corresponding to the barcodes of popular combination products and generate a picking list;

Picking module: picking, sorting, packing and shipping according to the picking list.

In another embodiment of the present invention, the system specifically includes:

The first receiving unit is used to receive and pull buyer transaction order information from the cross-border e-commerce platform. The transaction order information is the information required by the embodiment of the present invention, including: order platform product code, purchased product quantity, recipient name, recipient address, recipient telephone number and recipient zip code.

The first processing unit is used to generate a warehouse delivery order based on the buyer's transaction order information. The warehouse delivery order mainly includes: warehouse code, recipient information, warehouse product code, and delivery quantity. The warehouse product code and the platform product code are well associated within the system, and the warehouse product code can be queried through the platform product code.

The first storage unit is used for persistent storage of structured warehouse delivery order data, specifically in the form of corresponding storage of order table fields and order information. The storage medium is a relational database, which may be MySQL, SQL Server, SQLite, etc. This embodiment is described using MySQL as an example.

The second receiving unit is used to receive warehouse delivery order data that has been persisted in the system.

The second processing unit is used to allocate commodity inventory for warehouse delivery orders that have not yet been allocated inventory. According to the warehouse delivery order, the batch inventory of the specified warehouse shelf number is allocated. The batch inventory that can be allocated is the physical inventory that is not occupied by other orders and has not been locked by inventory. After this unit is processed, the warehouse order is allocated inventory, and the allocated inventory is frozen. It will be deducted from the system when the subsequent order is shipped out of the warehouse. At this time, the delivery order becomes pending.

The second storage unit is used to persist the batch inventory allocated to the warehouse delivery order. The stored warehouse delivery order includes the warehouse, warehouse area, warehouse location number, and inventory quantity.

The third receiving unit is used to receive warehouse shipment orders that have been allocated inventory and are to be removed from the shelves.

The third processing unit is used to remove the warehouse bulk orders that have been allocated to the warehouse inventory and generate warehouse picking lists. While generating the picking list, the product combination barcode of the hot-selling order is calculated and generated. The generation rule is that the product code of each order is spliced with the number of picked products and then naturally sorted. Shipping orders with the same product structure can be determined as a hot-selling shipping order, and their combination product barcodes are also the same.

The third storage unit is used to persistently store the warehouse picking order data that has been removed from the shelves. In this embodiment, it includes the warehouse delivery order number, the hot-selling order combination product barcode, the order warehouse product code, the order product quantity, and the picking shelf number.

The fourth receiving unit is used to receive the picking list of the hot-selling delivery order.

The fourth processing unit is used to perform picking and matching operations according to the hot-selling delivery order picking list. The matching method is: scan the barcode of the hot-selling order combination product to be picked, record the number of scans, and return the corresponding warehouse product code, product name, and packaging quantity. When the operator completes the packaging, print out the order logistics label and update the order status to have been matched. At this time, the hot-selling order picking and matching is completed.

The fourth storage unit is used to persist the information of the hot-selling orders that have been completed. The information includes the picking time, the order matching time, the delivery time, the delivery status, and the warehouse operation time limit that can be used to count the hot-selling orders.

This technical solution realizes fast batch error-free operation, effectively ensures timely delivery of warehouse orders, reduces labor intensity, reduces the error rate of order delivery, delivers orders in the shortest time, and improves the shopping experience of cross-border e-commerce. Hot-selling order products can be placed in the same warehouse area when preparing goods to further increase picking efficiency.

The embodiment of the present application also provides an electronic device, as shown in FIG3 , the electronic device 700 shown in FIG3 includes: a processor 701 and a memory 703. The processor 701 and the memory 703 are connected, such as through a bus 702. Optionally, the electronic device 700 may also include a transceiver 704. It should be noted that in actual applications, the transceiver 704 is not limited to one, and the structure of the electronic device 700 does not constitute a limitation on the embodiment of the present application.

Processor 701 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 701 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

The bus 702 may include a path for transmitting information between the above components. The bus 702 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 702 may be divided into an address bus, a data bus, etc. For ease of representation, FIG3 only uses one thick line, but does not mean that there is only one bus or one type of bus.

The memory 703 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

The memory 703 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 701. The processor 701 is used to execute the application code stored in the memory 703 to implement the contents shown in the above method embodiment.

The electronic device includes, but is not limited to, mobile terminals such as mobile phones, laptop computers, PDAs (personal digital assistants), PADs (tablet computers), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. The electronic device shown in FIG3 is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the method for matching overseas warehouse orders provided in the above embodiment.

It should be understood that, although the steps in the flowchart of the accompanying drawings are shown in sequence according to the instructions of the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise clearly stated herein, the execution of these steps is not strictly limited in order and can be performed in other orders.

The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims (10)

1. A method for overseas warehouse order allocation, for use in a logistics system, the method comprising:

classifying and combining orders with the same structure, and generating a bar code of the exploded combined commodity;

Acquiring warehouse inventory, calculating whether order demands are met, and if so, issuing an order;

generating a goods picking path of the goods shelf corresponding to the exploded combined goods bar code, and generating a goods picking bill;

and carrying out goods picking, sorting, packing and delivering out of the warehouse according to the goods picking list.

2. The method for overseas warehouse order allocation according to claim 1, wherein the orders with the same structure are: the orders comprise the same types of commodities and the same quantity of each type of commodity; wherein, the commodity types are at least two.

3. The method of overseas warehouse order allocation according to claim 2, wherein the process of generating the barcode of the exploded combination commodity comprises:

multiplying the classified and combined commodities by the number according to the commodity SKU codes, and taking natural ordering to obtain a combined sequence;

And generating the barcode of the exploded combined commodity of the combined sequence through a preset coding algorithm.

4. A method of overseas warehouse order allocation according to claim 3, wherein the encoding algorithm comprises an MD5 message digest algorithm.

5. The method of overseas warehouse order allocation according to claim 1, further comprising obtaining a delivery priority rule for inventory prior to generating the pick slip.

6. The method of overseas warehouse order allocation according to claim 5, wherein the prioritization rules comprise: and delivering the commodities according to the warehouse-in sequence, and preferentially emptying the shelves or preferentially delivering the commodities in the clinic.

7. The method for preparing the oversea warehouse order according to claim 1, wherein after the order is generated, the goods in the order are picked out, and the goods in the order are subjected to secondary sorting, packaging and labeling, and order signing out and leaving.

8. A system for overseas warehouse order allocation, characterized by comprising:

And a classification module: classifying and combining orders with the same structure, and generating a bar code of the exploded combined commodity;

And (3) a warehouse module: acquiring warehouse inventory, calculating whether order demands are met, and if so, issuing an order;

And a planning module: generating a goods picking path of the goods shelf corresponding to the exploded combined goods bar code, and generating a goods picking bill;

and (3) a picking module: and picking, sorting, packaging and delivering the goods according to the goods picking list.

9. An electronic device, comprising:

At least one processor;

A memory;

At least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a method of executing oversea warehouse order allocation as claimed in any one of claims 1 to 7.

10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed in a computer, causes the computer to perform the method of oversea warehouse order allocation as claimed in any one of claims 1 to 7.