CN108074051B

CN108074051B - Inventory management method and device

Info

Publication number: CN108074051B
Application number: CN201610978463.4A
Authority: CN
Inventors: 钟勇
Original assignee: Cainiao Smart Logistics Holding Ltd
Current assignee: Cainiao Smart Logistics Holding Ltd
Priority date: 2016-11-07
Filing date: 2016-11-07
Publication date: 2021-08-20
Anticipated expiration: 2036-11-07
Also published as: CN108074051A

Abstract

The invention discloses an inventory management method and an inventory management device, wherein the inventory management method comprises the following steps: the method comprises the steps that a computing device obtains a first order information set of a plurality of orders related to a first data object and a second order information set of the plurality of orders related to a second data object; determining combination information of the first data object and the second data object according to the first order information set and the second order information set; and determining the combined pre-packing indication information of the first data object and the second data object according to the combined information.

Description

Inventory management method and device

Technical Field

The invention relates to the technical field of data processing, in particular to an inventory management method and device.

Background

With the continuous development of electronic commerce, more and more users use online shopping. Taking the Business-to-Customer (Business-to-Customer) model as an example, a merchant stores its own commodities in an e-commerce warehouse, and after a consumer places an order for shopping, the order of the consumer is transferred to the e-commerce warehouse of the merchant where the commodity is stored, and the e-commerce warehouse is responsible for delivering the goods to the consumer according to the order. The Management of the e-commerce Warehouse may be implemented by a Warehouse Management System (WMS).

However, the WMS usually performs the corresponding order fulfillment process after receiving the order, that is, the WMS needs to instruct the picking of the goods after receiving the order, which results in inefficient picking in the warehouse. In particular, during sales promotion by merchants, the order size is large, and the warehouse needs to send out a large number of goods, resulting in a very high shipping pressure at the warehouse.

Disclosure of Invention

The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

The embodiment of the application provides an inventory management method and device, which improve picking and delivery efficiency by indicating pre-packaged entity inventory.

In a first aspect, an embodiment of the present application provides an inventory management method, including:

the method comprises the steps that a computing device obtains a first order information set of a plurality of orders related to a first data object and a second order information set of the plurality of orders related to a second data object; determining combination information of a first data object and a second data object according to the first order information set and the second order information set; and determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information.

Wherein the first order information set comprises: an order ID for each order; the second order information set comprises: an order ID for each order;

determining combination information of the first data object and the second data object according to the first order information set and the second order information set, wherein the combination information comprises:

determining the intersection of the order IDs in the first order information set and the second order information set according to the order ID in the first order information set and the order ID in the second order information set;

and when the number of the order IDs in the intersection meets a first preset condition, determining that a combined association relationship exists between the first data object and the second data object.

Wherein, the first order information set further comprises: the number of first data objects included in each order; the second order information set further comprises: the number of second data objects included in each order;

the determining the combination information of the first data object and the second data object according to the first order information set and the second order information set further includes:

after determining that a combined incidence relation exists between the first data object and the second data object, determining a combined proportion of the first data object and the second data object included in the order corresponding to each order ID in the intersection according to the number of the first data object and the number of the second data object included in the order corresponding to each order ID in the intersection; determining the number of order IDs associated in the intersection for each combination proportion; screening out a combination proportion that the number of the order IDs associated in the intersection meets a second preset condition; and determining the number of the first data objects and the number of the second data objects included in one combination according to the screened combination proportion.

Wherein the first order information set comprises: an order ID of each order, a number of first data objects included in each order; the second order information set comprises: an order ID of each order, a number of second data objects included in each order;

determining the total number of the first data objects and the total number of the second data objects in the orders corresponding to all the order IDs in the intersection according to the number of the first data objects and the number of the second data objects in the orders corresponding to each order ID in the intersection;

and when the total number of the first data objects meets a third preset condition or the total number of the second data objects meets the third preset condition, determining that the first data objects and the second data objects have a combined association relationship.

Wherein, the determining the combination information of the first data object and the second data object according to the first order information set and the second order information set further comprises:

after determining that the first data object and the second data object have a combined incidence relation, determining a combined proportion of the first data object and the second data object according to the total number of the first data object and the total number of the second data object in the orders corresponding to all the order IDs in the intersection;

the number of first data objects and the number of second data objects included in a combination is determined based on the combination ratio of the first data objects and the second data objects.

Wherein the first order information set comprises: an order ID for each order, a merchant ID in each order; the second order information set comprises: an order ID for each order, a merchant ID in each order;

determining the number of order IDs associated with the same order ID in the intersection according to the order ID corresponding to each order ID in the intersection;

and when the number of the order IDs associated with the same merchant ID in the intersection meets a fourth preset condition, determining that a combined association relationship exists between the first data object and the second data object.

after determining that a combined incidence relation exists between a first data object and a second data object which are associated with the same merchant ID, determining a combined proportion of the first data object and the second data object which are included in an order corresponding to each order ID associated with the merchant ID in the intersection according to the number of the first data object and the number of the second data object which are included in the order corresponding to each order ID associated with the merchant ID in the intersection; determining the number of order IDs associated in the intersection for each combination proportion associated with the merchant ID; screening out the combination proportion of the merchant ID associations of which the number of the order IDs associated in the intersection meets a fifth preset condition; and determining the number of the first data objects and the number of the second data objects in one combination related to the merchant ID according to the screened combination proportion.

Wherein the inventory management method further comprises: providing entity inventory information for a first data object and a second data object;

the determining the combined pre-packing indication information of the first data object and the second data object according to the combined information comprises:

determining an entity warehouse storing entity inventory corresponding to the first data object and the second data object according to the entity inventory information of the first data object and the second data object;

and determining combined pre-packaging indication information of the first data object and the second data object according to the combined information in the entity warehouse storing entity inventory corresponding to the first data object and the second data object.

Wherein, the first order information set further comprises: receiving address information for each order; the second order information set further comprises: receiving address information for each order;

the inventory management method further includes: providing entity inventory information for a first data object and a second data object;

determining a receiving address associated with the order ID in the transaction according to the first order information set and the second order information set; determining an entity warehouse storing entity inventory corresponding to the first data object and the second data object according to the entity inventory information of the first data object and the second data object; in the entity warehouse storing the entity inventory corresponding to the first data object and the second data object, when the receiving addresses associated with the predetermined number of order IDs in the transaction satisfy the preset distribution range of the entity warehouse storing the entity inventory corresponding to the first data object and the second data object, and the predetermined number satisfies a sixth preset condition, determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information.

Wherein the inventory management method further comprises: providing a predicted order amount for a combination, the combination comprising a first number of first data objects and a second number of second data objects;

and determining a pre-packaged amount of an entity inventory combination according to the predicted order amount of the combination and a first preset proportion, wherein the entity inventory combination comprises an entity inventory corresponding to a first number of first data objects and an entity inventory corresponding to a second number of second data objects.

the entity inventory information includes: the entity inventory corresponding to the first data object in each entity warehouse and the entity inventory corresponding to the second data object in each entity warehouse;

determining a first predicted order amount for the first data object based on the first number and the combined predicted order amount; determining a second predicted order amount for the second data object based on the second number and the combined predicted order amount; aiming at an entity warehouse storing entity stocks corresponding to a first data object and a second data object, determining a pre-packing amount of an entity stock combination according to the first predicted order amount, the second predicted order amount, an entity stock amount corresponding to the first data object and an entity stock amount corresponding to the second data object; wherein the entity inventory combination comprises an entity inventory corresponding to a first number of first data objects and an entity inventory corresponding to a second number of second data objects.

Wherein the entity inventory information includes: the entity inventory corresponding to the first data object in each entity warehouse and the entity inventory corresponding to the second data object in each entity warehouse;

according to the entity inventory information, determining the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object in an entity warehouse storing the entity inventory corresponding to the first data object and the second data object;

and determining the pre-packing amount of the entity inventory combination according to the entity inventory corresponding to the first data object, the entity inventory corresponding to the second data object and the second preset proportion, wherein the entity inventory combination comprises the entity inventory corresponding to the first data object with the first number and the entity inventory corresponding to the second data object with the second number.

Wherein the inventory management method further comprises:

for the entity warehouse storing the entity inventory corresponding to the first data object and the second data object, after determining the pre-packaging amount of the entity inventory combination, determining the pre-packaging amount of the entity inventory corresponding to the first data object according to the first number and the pre-packaging amount of the entity inventory combination; determining the pre-packaging amount of the entity inventory corresponding to the second data object according to the second number and the pre-packaging amount of the entity inventory combination; and subtracting the pre-packaging amount of the entity inventory corresponding to the first data object from the entity inventory corresponding to the first data object, subtracting the pre-packaging amount of the entity inventory corresponding to the second data object from the entity inventory corresponding to the second data object, and adding an entity inventory combination entry for indicating the pre-packaging amount of the entity inventory combination.

In a second aspect, an embodiment of the present application further provides an inventory management method, including:

after receiving the pre-packaging instruction, the computing equipment indicates to perform combined pre-packaging on the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object according to the combined pre-packaging indication information of the first data object and the second data object; after receiving the order, after inquiring that the order comprises the combination of the first data object and the second data object, indicating to pick from the pre-packaged entity stock combination.

In a third aspect, an embodiment of the present application further provides an inventory management method, including: receiving, by a computing device, shelving information for a data object; and determining the recommended goods position of the entity library corresponding to the data object in the entity warehouse according to the shelving information and the combination information of the data object.

After determining that the entity library corresponding to the data object exists in the recommended goods space in the entity warehouse, the inventory management method further includes: and instructing to adjust the entity inventory corresponding to the data object from the original position in the entity warehouse to the recommended goods position.

Wherein, according to the information on shelves and the combined information of the data objects, determining that the entity library corresponding to the data objects exists in the recommended goods space in the entity warehouse, comprises:

according to the shelving information and the combination information of the data objects, determining that the recommended goods space of the entity library corresponding to the data objects in the entity warehouse meets one or more of the following conditions:

the recommended goods position is a special goods position which is convenient to pick in the entity warehouse;

the distance between the recommended goods locations of the entity inventory corresponding to the data objects in the same combination is the closest, or is less than or equal to the distance threshold.

In a fourth aspect, an embodiment of the present application further provides an inventory management method, including: the computing device obtains a third order information set of a plurality of orders associated with a third data object; and determining the pre-packaging indication information of the third data object according to the third order information set.

Wherein the third order information set comprises: the number of third data objects included in each order;

the inventory management method further includes: providing entity inventory information and predicted order amounts for a third data object; the entity inventory information includes an entity inventory of a third data object in one or more entity warehouses;

determining the pre-packing indication information of the third data object according to the third order information set includes: determining the total number of third data objects in the plurality of orders according to a third order information set; when the total number of the third data objects meets a seventh preset condition, determining to pre-pack an entity inventory corresponding to the third data objects in an entity warehouse; and determining the pre-pack amount of the entity inventory corresponding to the third data object in the entity warehouse according to the predicted order amount of the third data object and the corresponding entity inventory amount in each entity warehouse.

In a fifth aspect, an embodiment of the present application provides an inventory management device, including:

the first acquisition module is used for acquiring a first order information set of a plurality of orders associated with a first data object and a second order information set of a plurality of orders associated with a second data object;

the first processing module is used for determining the combination information of the first data object and the second data object according to the first order information set and the second order information set;

and the second processing module is used for determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information.

the first processing module is configured to determine combination information of the first data object and the second data object according to the first order information set and the second order information set in the following manner:

the first processing module is further configured to determine combination information of the first data object and the second data object according to the first order information set and the second order information set by:

Wherein the inventory management device further comprises: a first providing module for providing entity inventory information of a first data object and a second data object;

the second processing module is configured to determine, according to the combination information, combination pre-packing indication information of the first data object and the second data object by:

Wherein the inventory management device further comprises: a second providing module for providing a combined predicted order amount, wherein the combination comprises a first number of first data objects and a second number of second data objects;

the second processing module is configured to determine, according to the combination information, combination pre-packing indication information of the first data object and the second data object by any one of the following manners:

determining a pre-packaging amount of an entity inventory combination according to the predicted order amount of the combination and a first preset proportion, wherein the entity inventory combination comprises an entity inventory corresponding to a first number of first data objects and an entity inventory corresponding to a second number of second data objects;

determining a first predicted order amount for the first data object based on the first number and the combined predicted order amount; determining a second predicted order amount for the second data object based on the second number and the combined predicted order amount; aiming at an entity warehouse storing entity stocks corresponding to a first data object and a second data object, determining a pre-packing amount of an entity stock combination according to the first predicted order amount, the second predicted order amount, an entity stock amount corresponding to the first data object and an entity stock amount corresponding to the second data object;

according to the entity inventory information, determining the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object in an entity warehouse storing the entity inventory corresponding to the first data object and the second data object; and determining the pre-packing amount of the entity inventory combination according to the entity inventory corresponding to the first data object, the entity inventory corresponding to the second data object and the second preset proportion.

In a sixth aspect, an embodiment of the present application further provides an inventory management device, including:

the first receiving module is used for receiving the pre-packaging instruction and the order;

the first indicating module is used for indicating to carry out combined pre-packaging on the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object according to the combined pre-packaging indicating information of the first data object and the second data object after the first receiving module receives the pre-packaging instruction;

and the second indicating module is used for indicating to pick from the pre-packaged entity inventory combination after the first receiving module receives the order and the order is inquired to comprise the combination of the first data object and the second data object.

In a seventh aspect, an embodiment of the present application further provides an inventory management device, including:

the second receiving module is used for receiving the shelving information of the data object;

and the third processing module is used for determining the recommended goods position of the entity library corresponding to the data object in the entity warehouse according to the shelving information and the combination information of the data object.

The third processing module is configured to determine, according to the shelving information and the combination information of the data object, a recommended cargo space of the entity library stored in the entity warehouse corresponding to the data object by:

In an eighth aspect, an embodiment of the present application provides an inventory management device, including:

the second acquisition module is used for acquiring a third order information set of a plurality of orders associated with a third data object;

and the fourth processing module is used for determining the pre-packaging indication information of the third data object according to the third order information set.

In a ninth aspect, an embodiment of the present application further provides an inventory management device, including: a processor and a memory; wherein the memory is used for storing a program for inventory management; the program for inventory management, when read and executed by the processor, performs the following operations:

acquiring a first order information set of a plurality of orders associated with a first data object and a second order information set of a plurality of orders associated with a second data object; determining combination information of a first data object and a second data object according to the first order information set and the second order information set; and determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information.

In a tenth aspect, an embodiment of the present application further provides an inventory management device, including: a processor and a memory; wherein the memory is used for storing a program for inventory management; the program for inventory management, when read and executed by the processor, performs the following operations:

after receiving the pre-packaging instruction, indicating to perform combined pre-packaging on the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object according to the combined pre-packaging indication information of the first data object and the second data object; after receiving the order, after inquiring that the order comprises the combination of the first data object and the second data object, indicating to pick from the pre-packaged entity stock combination.

In an eleventh aspect, an embodiment of the present application further provides an inventory management device, including: a processor and a memory; wherein the memory is used for storing a program for inventory management; the program for inventory management, when read and executed by the processor, performs the following operations:

receiving shelving information of the data object; and determining the recommended goods position of the entity library corresponding to the data object in the entity warehouse according to the shelving information and the combination information of the data object.

In a twelfth aspect, an embodiment of the present application further provides an inventory management device, including: a processor and a memory; wherein the memory is used for storing a program for inventory management; the program for inventory management, when read and executed by the processor, performs the following operations:

acquiring a third order information set of a plurality of orders associated with a third data object; and determining the pre-packaging indication information of the third data object according to the third order information set.

Embodiments of the present application further provide a computer-readable storage medium storing computer-executable instructions, which when executed by a processor implement the inventory management method of the first aspect.

Embodiments of the present application further provide a computer-readable storage medium storing computer-executable instructions, which when executed by a processor implement the inventory management method of the second aspect.

Embodiments of the present application further provide a computer-readable storage medium storing computer-executable instructions, which when executed by a processor implement the inventory management method of the third aspect.

Embodiments of the present application further provide a computer-readable storage medium storing computer-executable instructions, which when executed by a processor, implement the inventory management method of the fourth aspect.

In the embodiment of the application, the computing equipment acquires a first order information set of a plurality of orders associated with a first data object and a second order information set of a plurality of orders associated with a second data object; determining combination information of the first data object and the second data object according to the first order information set and the second order information set; and determining the combined pre-packing indication information of the first data object and the second data object according to the combined information. Therefore, the combined pre-packaging indication information of the data object can be obtained through data analysis in the embodiment of the application and is used for indicating the pre-packaging operation, and therefore picking and packaging can be carried out in advance. After the pre-packaging operation is carried out, the pre-packaged commodities can be occupied preferentially according to the received orders, so that the warehouse picker can directly use the packaged commodities when picking the commodities, the picking efficiency is greatly improved, and the delivery efficiency of the entity warehouse is further improved. Furthermore, in the racking link, space layout optimization can be performed according to the combined information of the data objects, and then subsequent picking efficiency is improved.

Of course, it is not necessary for any product to achieve all of the above advantages at the same time for the practice of the present application.

Other aspects will be apparent upon reading and understanding the attached drawings and detailed description.

Drawings

Fig. 1 is a flowchart of an inventory management method according to an embodiment of the present disclosure;

fig. 2 is a schematic application diagram of an inventory management method according to an embodiment of the present application;

fig. 3 is a schematic diagram of an inventory management device according to a second embodiment of the present application;

fig. 4 is a flowchart of an inventory management method according to a third embodiment of the present application;

fig. 5 is a schematic diagram of an inventory management device according to a fourth embodiment of the present application;

fig. 6 is a flowchart of an inventory management method according to a fifth embodiment of the present application;

fig. 7 is a schematic diagram of an inventory management device according to a sixth embodiment of the present application;

fig. 8 is a flowchart of an inventory management method according to a seventh embodiment of the present application;

fig. 9 is a schematic view of an inventory management device according to an eighth embodiment of the present application.

Detailed Description

The embodiments of the present application will be described in detail below with reference to the accompanying drawings, and it should be understood that the embodiments described below are only for illustrating and explaining the present application and are not intended to limit the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

It should be noted that, if not conflicting, the embodiments and features of the embodiments may be combined with each other and are within the scope of protection of the present application. Additionally, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.

In some embodiments, a computing device executing an inventory management method may include one or more processors (CPUs), input/output interfaces, network interfaces, and memories (memories).

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium. The memory may include module 1, module 2, … …, and module N (N is an integer greater than 2).

Computer readable media include both permanent and non-permanent, removable and non-removable storage media. A storage medium may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.

The concepts presented in the present application are explained first below.

And (4) stock: refers to goods or merchandise stored in a warehouse.

And (3) physical inventory: refers to the goods or merchandise actually stored in the physical warehouse.

An entity warehouse: refers to a space for storing real physical inventory; wherein the entity inventory in an entity warehouse may be associated with one or more merchants; the entity inventory associated with a merchant may be located entirely in one entity repository or may be distributed across multiple entity repositories.

Picking up goods: the method refers to a process of picking up physical stock from a shelf and moving the physical stock to a special area for packaging when package processing is carried out in a physical warehouse.

Putting on shelf: the method refers to a process that after the entity warehouse receives goods, the goods are moved to a goods position according to a certain rule.

A cargo space: refers to the smallest unit of physical inventory storage in the physical warehouse.

Pre-packaging: meaning sorted ahead of time and packaged.

Data object: refers to virtual goods stored on a server (such as a transaction server); each virtual commodity corresponds to a plurality of real entity stocks, and the entity stocks may be all in one entity warehouse or may be distributed in a plurality of entity warehouses; a data object may be associated with multiple orders.

An embodiment of a first inventory management method, as shown in fig. 1, includes:

step 101: the method comprises the steps that a computing device obtains a first order information set of a plurality of orders related to a first data object and a second order information set of the plurality of orders related to a second data object;

step 102: determining combination information of the first data object and the second data object according to the first order information set and the second order information set;

step 103: and determining the combined pre-packing indication information of the first data object and the second data object according to the combined information.

Where the computing device may be a server computing device (e.g., a server) or a virtual machine running on a server computing device. A computing device may manage one or more entity repositories.

Wherein the commodity types of the first data object and the second data object may be the same. For example, the first data object may be a brand of baby hand wet tissue, the second data object may be a brand of baby buttocks-specific wet tissue, and both may be of a type of wet tissue. The first data object and the second data object may also differ in commodity type. For example, the first data object is a keyboard and the second data object is a mouse.

The first order information set comprises order information of a plurality of orders related to the first data object. Each order corresponds to one piece of order information. In some implementations, each piece of order information associated with the first data object may include: an order Identification (ID), merchant information (such as merchant ID, name, etc.), customer information (such as customer ID, customer contact, shipping address information, etc.), first data object information included in the order (such as ID, name, unit price, quantity, etc. of the first data object).

The second order information set comprises order information of a plurality of orders associated with the second data object. Each order corresponds to one piece of order information. In some implementations, each piece of order information associated with the second data object may include: order Identification (ID), merchant information (such as merchant ID, name, etc.), customer information (such as customer ID, customer contact, shipping address information, etc.), second data object information included in the order (such as ID, name, unit price, quantity, etc. of the second data object).

Wherein the combination information of the first data object and the second data object may include: the name or ID of the first data object, the name or ID of the second data object, the number of first data objects and second data objects included in a combination; for example, a combination comprising N first data objects and M second data objects, N, M are positive integers. Alternatively, the combination information may include: a name or ID of the first data object, a name or ID of the second data object, one or more combination proportions of the first data object and the second data object included in one combination; for example, the combination ratio of the first data object and the second data object in one combination may be 1:1 or 1: 2, in other words, the number of first data objects in a combination may be N, and the number of second data objects may be N or 2N, N being a positive integer.

Wherein, the combined pre-pack indication information of the first data object and the second data object may include: the combined pre-packing amount, the name or ID of the first data object, the name or ID of the second data object, the quantity of entity inventory corresponding to the first data object and the quantity of entity inventory corresponding to the second data object included in one combination; alternatively, the method may further include: the location information of the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object (for example, the entity warehouse where the entity inventory is located and the information of the cargo space), and the merchant information associated with the first data object and the second data object.

The computing device may obtain an order information set associated with three or more data objects, determine combination information between the data objects, and determine combination pre-packing indication information between the data objects according to the combination information. That is, three or more data objects may be combined.

In some implementations, the computing device may be a logistics server, and as shown in fig. 2, the logistics server may obtain, from the trading server, a first order information set of a plurality of orders associated with the first data object and a second order information set of a plurality of orders associated with the second data object, determine combination information of the first data object and the second data object according to the first order information set and the second order information set, and determine the combined pre-packing indication information according to the combination information.

The trading server can select a plurality of or all orders related to the first data object and a plurality of or all orders related to the second data object from all orders stored in a preset time length to obtain a first order information set and a second order information set, and transmits the first order information set and the second order information set to the logistics server; or, the trading server may also select a plurality of or all orders associated with the first data object and a plurality of or all orders associated with the second data object from all stored orders to obtain a first order information set and a second order information set, and transmit the first order information set and the second order information set to the logistics server.

Or, the trading server may transmit the stored order information of all orders within a predetermined time period to the logistics server, and the logistics server obtains a first order information set of multiple or all orders associated with the first data object and a second order information set of multiple or all orders associated with the second data object from the order information of the orders; or, the trading server may transmit the stored order information of all orders to the logistics server, and the logistics server obtains a first order information set of multiple or all orders associated with the first data object and a second order information set of multiple or all orders associated with the second data object from the order information of the orders.

In some implementations, the computing device can include a transaction server and a logistics server. For example, the trading server may select multiple or all orders associated with the first data object and multiple or all orders associated with the second data object from all orders stored within a predetermined time period to obtain a first order information set and a second order information set, determine combination information of the first data object and the second data object according to the first order information set and the second order information set, transmit the determined combination information to the logistics server, and determine the combined pre-packing indication information by the logistics server according to the combination information. Or, the trading server may also select multiple or all orders associated with the first data object and multiple or all orders associated with the second data object from all stored orders to obtain a first order information set and a second order information set, determine combination information of the first data object and the second data object according to the first order information set and the second order information set, transmit the determined combination information to the logistics server, and determine the combined pre-packaging indication information by the logistics server according to the combination information.

In some implementations, after determining the combined pre-packing indication information of the first data object and the second data object, the logistics server may store the combined pre-packing indication information in a database, so as to instruct, when a pre-packing instruction provided by a user is received, a pre-packing operation to be performed according to the combined pre-packing indication information; or displaying the combined pre-packaging instruction information to a user through a human-computer interaction interface so as to instruct the user to perform pre-packaging operation in the entity warehouse according to the combined pre-packaging instruction information.

Several alternative implementations of step 102 are described below.

In a first optional implementation manner, the first order information set may include: an order ID for each order; the second order information set may include: an order ID for each order;

step 102 may include:

and when the number of the order IDs in the intersection meets a first preset condition, determining that a combined incidence relation exists between the first data object and the second data object.

Wherein the first predetermined condition may include: greater than or equal to the first threshold. For example, where the plurality of orders associated with the first data object and the plurality of orders associated with the second data object are each selected from all orders for the predetermined length of time, the first threshold may be determined as a product of a total number of orders and the first percentage for the predetermined length of time.

For example, the order ID in the first order information set and the order ID in the second order information set are shown in table 1. Wherein one order ID corresponds to only one order, and different orders are labeled by different order IDs.

TABLE 1

Order ID in a first set of order information	Order ID in the second set of order information
		Order001	Order003
Order007	Order004
		Order009	Order007
Order018	Order018
		Order023	Order023
Order030	Order030
		Order033	Order040
Order040	Order050
		……	……

Based on table 1, it may be determined that the intersection of the order IDs in the first order information set and the second order information set is: order007, Order018, Order023, Order030 and Order 040.

It should be noted that the present embodiment is described by way of example only with a small amount of data. However, this is not limited in this application. In practical applications, the method according to the present embodiment may be applied to process a large amount of data.

In addition, the first order information set may further include: the number of first data objects included in each order; the second order information set may further include: the number of second data objects included in each order;

step 102 may also include:

after determining that the first data object and the second data object have a combined incidence relation, determining a combined proportion of the first data object and the second data object included in the order corresponding to each order ID in the intersection according to the number of the first data object and the number of the second data object included in the order corresponding to each order ID in the intersection;

determining the number of order IDs associated in the intersection of each combination proportion;

screening out a combination proportion that the number of the order IDs associated in the intersection meets a second preset condition;

and determining the number of the first data objects and the number of the second data objects included in one combination according to the screened combination proportion.

Wherein the second predetermined condition may include: greater than or equal to the second threshold. For example, the second threshold may be determined based on a product of the total number of order IDs in the intersection and a second percentage. Alternatively, the second predetermined condition may be: the largest number of associated order IDs in the intersection.

For example, based on the intersection determined in table 1, the information of the data object included in the order corresponding to each order ID in the intersection may be as shown in table 2.

TABLE 2

Order ID	Data object ID	Number of data objects	Data object ID	Number of data objects
					Order007	Object001	1	Object002	1
Order018	Object001	2	Object002	1
					Order023	Object001	2	Object002	2
Order030	Object 001	1	Object002	1
					Order040	Object001	2	Object002	2

Based on table 2, the combination ratio of the Object001 (as the aforementioned first data Object) and the Object002 (as the aforementioned second data Object) in the Order007 is 1: 1; the combination ratio of the Object001 and the Object002 in the Order018 is 2: 1; the combination ratio of the Object001 and the Object002 in the Order023 is 1: 1; the combination ratio of the Object001 and the Object002 in the Order030 is 1: 1; the combined ratio of the data objects Object001 and Object002 in the Order040 is 1: 1.

As can be seen, the number of order IDs associated with combination ratio 1:1 in the intersection is 4, and the number of order IDs associated with combination ratio 2:1 is 1. Therefore, a combination ratio of 1:1 can be selected, so that it can be determined that the number of first data objects included in one combination can be 1, and the number of second data objects can also be 1.

In the examples herein, the combination ratio is the simplest ratio, however, the present application does not limit this. In other implementations, the combination ratio can also be directly the ratio of the number of data objects, and in this case, the combination ratio of the data objects Object001 and Object002 in the Order023 in table 2 is 2: 2.

In a second optional implementation manner, the first order information set may include: an order ID of each order, a number of first data objects included in each order; the second order information set may include: an order ID of each order, a number of second data objects included in each order;

step 102 may include:

and when the total number of the first data objects meets a third preset condition, or the total number of the second data objects meets the third preset condition, determining that the first data objects and the second data objects have a combined association relationship.

Wherein the third predetermined condition may include: greater than or equal to a third threshold. For example, where the plurality of orders associated with the first data object and the plurality of orders associated with the second data object are each selected from all orders for the predetermined length of time, the third threshold may be determined as a product of a total number of orders and a third percentage for the predetermined length of time.

For example, based on table 2, it may be determined that, in the orders corresponding to all the order IDs in the intersection, the total number of the first data objects is 8, and the total number of the second data objects is 7.

In addition, step 102 may further include:

For example, based on table 2, it may be determined that the ratio of the total number of first data objects to the total number of second data objects is 8: 7. It should be noted that, in order to avoid an excessive value of each term in the ratios obtained from the total number, the obtained ratios may be approximated, and then the combination ratio may be determined. For example, based on table 2, according to 8:7, the combination ratio may be determined to be 1:1, that is, the number of the first data objects in one combination may be determined to be 1, and the number of the second data objects may be determined to be 1.

In a third optional implementation manner, the first order information set may include: an order ID for each order, a merchant ID in each order; the second order information set may include: an order ID for each order, a merchant ID in each order;

step 102 may include:

determining the number of order IDs associated with the same order ID in the intersection according to the order ID in the order corresponding to each order ID in the intersection;

Wherein the fourth predetermined condition may include: greater than or equal to a fourth threshold. For example, the fourth threshold may be determined based on a product of the total number of order IDs in the intersection and a fourth percentage.

For example, based on the intersection determined in table 1, the merchant information and the data object information included in the order corresponding to each order ID in the intersection may be as shown in table 3.

TABLE 3

Based on table 3, it can be determined that the number of order IDs of the associated merchant Owner001 is 4 and the number of order IDs of the associated merchant Owner002 is 1. When the number of order IDs of the associated merchant Owner001 satisfies the fourth predetermined condition, it may be determined that the data objects Object001 and Object002 of the associated merchant Owner001 have a combined association relationship.

step 102 may also include:

after determining that a combined association exists between a first data object and a second data object associated with the same merchant ID,

determining the combination proportion of the first data object and the second data object in the order corresponding to each order ID associated with the same merchant ID in the intersection according to the number of the first data object and the number of the second data object in the order corresponding to each order ID associated with the merchant ID in the intersection;

determining the number of order IDs associated in the intersection for each combination proportion associated with the merchant ID;

screening out the combination proportion of the merchant ID associations of which the number of the order IDs associated in the intersection meets a fifth preset condition;

and determining the number of the first data objects and the number of the second data objects in a combination related to the merchant ID according to the screened combination proportion.

Wherein the fifth predetermined condition may include: greater than or equal to a fifth threshold. For example, the fifth threshold may be determined based on a product of the total number of order IDs in the intersection and a fifth percentage. Alternatively, the fifth predetermined condition may be: the largest number of combination ratios of order IDs associated with the same merchant ID in the intersection.

For example, based on table 3, it can be determined that the combination ratio of the data Object001 (such as the aforementioned first data Object) and the data Object002 (such as the aforementioned second data Object) in the order of the associated merchant Owner001 includes 1:1 and 2:1, wherein the order ID number associated with the combination ratio 1:1 is 3, and the order ID number associated with the combination ratio 2:1 is 1. Thus, it may be determined that the number of first data objects and second data objects in a combination associated with merchant Owner001 may each be 1.

It should be noted that, in several alternative implementations, after determining that the first data object and the second data object have a combination association relationship, the number of the first data objects in one combination may be a default value (e.g., 1), and the number of the second data objects may also be a default value (e.g., 1). Or, in the foregoing several optional implementations, the determination manner of the combination association relationship and the determination manner of the combination proportion may be combined with each other, for example, after the combination association relationship is determined by using the first optional implementation, the number of the first data object and the number of the second data object in one combination are determined by using the determination manner of the combination proportion of the second optional implementation. However, this is not limited in this application. In other implementation manners, the combination association relationship and the combination proportion of the data objects can also be determined by using the related variant scheme of the above alternative implementation manners.

After determining the combination information of the first data object and the second data object, it may be determined whether a combination pre-packing of the entity inventory of the first data object and the second data object is indicated, and when determining that the combination pre-packing indication is indicated, the combination pre-packing indication information is determined.

In some implementation manners, the inventory management method provided in this embodiment may further include: providing entity inventory information for a first data object and a second data object;

step 103 may include:

and determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information in an entity warehouse storing entity inventory corresponding to the first data object and the second data object.

The entity inventory information may include: the ID or name of the entity warehouse where the entity inventory corresponding to the first data object is located, and the ID or name of the entity warehouse where the entity inventory corresponding to the second data object is located.

For example, the entity warehouse IDs storing the entity inventories corresponding to the first data object and the second data object may be determined according to the intersection of the entity warehouse ID where the entity inventory corresponding to the first data object is located and the entity warehouse ID where the entity inventory corresponding to the second data object is located.

In other words, when the entity warehouses for the first data object and the second data object are stored in one entity warehouse at the same time, and the combination information exists between the first data object and the second data object, the entity warehouses for the first data object and the second data object can be instructed to carry out the combined pre-packaging.

For example, the entity inventory information for the first data object and the second data object may be as shown in Table 4.

TABLE 4

Entity repository ID	Stored data object ID	Physical inventory of data objects
			WH001	Object001	a1
WH001	Object002	b1
			WH002	Object001	a2
WH003	Object002	b2
			WH005	Object001	a3
WH005	Object002	b3
			……	……	……

As can be seen from table 4, the entity warehouses WH001 and WH005 store the entity inventory of the first data Object (Object001) and the second data Object (Object002) at the same time. Thus, the entity inventory of data objects Object001 and Object002 may be instructed to be combined pre-packaged at entity warehouse WH001 and entity warehouse WH005, respectively.

In some implementations, the first order information set may further include: receiving address information for each order; the second order information set may further include: receiving address information for each order;

step 103 may include:

determining a receiving address associated with the order ID in the transaction according to the first order information set and the second order information set;

and in the entity warehouse storing the entity inventory corresponding to the first data object and the second data object, when the receiving addresses associated with the predetermined number of order IDs in the intersection meet the preset distribution range of the entity warehouse storing the entity inventory corresponding to the first data object and the second data object and the predetermined number meets a sixth predetermined condition, determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information.

Wherein the sixth predetermined condition may include: greater than or equal to a sixth threshold. For example, the sixth threshold may be determined based on the product of the total number of order IDs in the intersection and the sixth percentage.

The preset delivery range of the entity warehouse may be indicated by listing provinces, cities, districts, etc. which can be delivered. For example, if an address of an entity warehouse is in Shanghai, the preset distribution range of the entity warehouse may include Shanghai area.

For example, based on the intersection determined in table 1, the information included in the order corresponding to each order ID in the intersection may be as shown in table 5.

TABLE 5

In combination with tables 4 and 5, taking the physical warehouse WH001 as an example, the preset distribution range of the physical warehouse WH001 is, for example, the district of the shanghai river and zhe. According to the receiving address corresponding to each order in table 5, the receiving addresses in the preset distribution range of the entity warehouse WH001 are screened out, for example, address1 to address5 all belong to the province of Jiangsu, that is, belong to the preset distribution range of the entity warehouse WH001, so that the predetermined number is 5, and when the predetermined number meets the sixth predetermined condition, the entity warehouse WH001 performs the combined pre-packing indication according to the combined information of the two data objects (Object001 and Object 002).

The following describes a determination process of the combined pre-packet indication information through several implementation manners. Wherein, the combined pre-packet indication information may include: the entity warehouse ID, the pre-pack amount of the entity inventory combination, the amount of entity inventory corresponding to the first data object in one entity inventory combination, and the amount of entity inventory corresponding to the second data object. In some implementations, the combining the pre-packet indication information may further include: the physical library to which the first data object and the second data object correspond stores the cargo space information (e.g., cargo space ID) in the physical warehouse.

In some implementations, the pre-packaged amount of the entity inventory combination may be determined based on the predicted order amount of the combination.

The inventory management method of this embodiment may further include: providing a predicted order amount for a combination, wherein a combination may comprise a first number of first data objects and a second number of second data objects;

step 103 may include:

and determining the pre-packaging amount of the entity inventory combination according to the predicted order amount of the combination and a first preset proportion, wherein the entity inventory corresponding to a first data object in one entity inventory combination is a first number, and the entity inventory corresponding to a second data object is a second number.

For example, take a combination X comprising 1 first data object a and 2 second data objects B as an example; when the predicted order amount of the combination X is M and the first predetermined ratio is t%, the pre-packing amount M of the physical inventory combination is M × t%. Taking the combined pre-packing operation in an entity warehouse as an example, the entity inventory of the first data object a that needs to be occupied in the entity warehouse is M, and the entity inventory of the second data object B that needs to be occupied is 2 × M.

It should be noted that, when the combined pre-packing operation can be performed in a plurality of entity warehouses, the pre-packing amount of the entity inventory combination can be determined first, and then the pre-packing amount is allocated to each entity warehouse; for example, the pre-packing amount may be allocated to each entity warehouse according to a predetermined ratio, or may be allocated to the corresponding entity warehouse according to a prediction of a receiving address. Alternatively, the pre-packing amount of the corresponding entity inventory combination may be determined for each entity warehouse according to the predicted ex-warehouse amount of the combination in each entity warehouse.

The combined predicted order quantity may be estimated according to the combined order quantity in a predetermined time period, for example, the combined predicted order quantity in the next week may be determined according to the combined order quantity and the estimated percentage in the previous week. The combined predicted warehouse-out quantity may be estimated according to the warehouse-out quantity combined in an entity warehouse within a predetermined time period, for example, for an entity warehouse, the combined predicted warehouse-out quantity in the next week may be determined according to the combined warehouse-out quantity and the estimated percentage in the previous week.

In some implementations, the pre-pack amount of the entity inventory combination may be determined based on the combined predicted order amount and the entity inventory amount of the data object.

The inventory management method of this embodiment may further include: providing a predicted order amount for a combination, wherein a combination comprises a first number of first data objects and a second number of second data objects;

the entity inventory information may include: the entity inventory corresponding to the first data object in each entity warehouse and the entity inventory corresponding to the second data object in each entity warehouse;

step 103 may include:

determining a first predicted order amount for the first data object based on the first number and the combined predicted order amount;

determining a second predicted order amount for the second data object based on the second number and the combined predicted order amount;

aiming at an entity warehouse storing entity stocks corresponding to a first data object and a second data object, determining a pre-packing amount of an entity stock combination according to a first predicted order amount, a second predicted order amount, an entity stock amount corresponding to the first data object and an entity stock amount corresponding to the second data object; the entity inventory combination comprises entity inventory corresponding to a first number of first data objects and entity inventory corresponding to a second number of second data objects.

Wherein the first predicted order amount is equal to a product of the first number and the combined predicted order amount; the second predicted order amount is equal to a product of the second number and the combined predicted order amount.

When the entity inventory amounts of the data objects are all larger than or equal to the corresponding predicted order amount (namely the entity inventory is sufficient), the pre-packing amount of the entity inventory combination can be determined according to the predicted order amount; when the physical inventory amount of the data object is smaller than the corresponding predicted order amount (i.e., the physical inventory is insufficient), the pre-packaging amount of the physical inventory combination can be determined according to the physical inventory amount.

For example, take a combination X comprising 1 first data object a and 2 second data objects B as an example; where the predicted order amount for combination X is m, the first predicted order amount for first data object a is m and the second predicted order amount for second data object B is 2X m.

For example, based on table 4, in the entity repository WH001, the entity inventory amount of the first data Object a (Object001) is a1, and the entity inventory amount of the second data Object B (Object002) is B1; if a1 is greater than or equal to M and b1 is greater than or equal to 2 xm, the pre-packaged quantity M of the physical inventory combination is M. When a1 is less than M and b1 is greater than or equal to 2 xm, then the pre-pack amount M of the physical inventory combination may be less than or equal to a 1. When a1 is greater than or equal to M and b1 is less than 2 xm, then the pre-pack amount M of the physical inventory combination may be less than or equal to b 1/2. When a1 is less than M and b1 is less than 2 xm, the pre-packaged amount M of the entity inventory combination may be less than or equal to a1 if a1 is less than b1/2 and less than or equal to b1/2 if a1 is greater than or equal to b 1/2.

In some implementations, the pre-pack amount of the entity inventory combination may be determined based on an entity inventory amount of the data object.

Wherein, the entity inventory information may further include: the entity inventory corresponding to the first data object in each entity warehouse and the entity inventory corresponding to the second data object in each entity warehouse;

step 103 may include:

determining the pre-packing amount of the entity inventory combination according to the entity inventory corresponding to the first data object, the entity inventory corresponding to the second data object and the second preset proportion; the entity inventory combination comprises an entity inventory corresponding to a first number of first data objects and an entity inventory corresponding to a second number of second data objects.

For example, take a combination X comprising 1 first data object a and 2 second data objects B as an example; in an entity warehouse, the entity inventory amount of the first data object A is a1, the entity inventory amount of the second data object B is B1, and when the second predetermined proportion is q%, if a1 is greater than B1/2, the pre-packing amount M of the entity inventory combination is B1/2 × q%; if a1 is less than or equal to b1/2, the pre-packaged amount M of the entity inventory combination is a1 × q%.

In some implementations, the inventory management method of this embodiment may further include:

for an entity warehouse storing entity inventory corresponding to the first data object and the second data object, after determining the pre-packing amount of the entity inventory combination,

determining the pre-packaging amount of the entity inventory corresponding to the first data object according to the first number and the pre-packaging amount of the entity inventory combination;

determining the pre-packaging amount of the entity inventory corresponding to the second data object according to the second number and the pre-packaging amount of the entity inventory combination;

and subtracting the pre-packaging amount of the entity inventory corresponding to the first data object from the entity inventory corresponding to the first data object, subtracting the pre-packaging amount of the entity inventory corresponding to the second data object from the entity inventory corresponding to the second data object, and adding an entity inventory combination entry for indicating the pre-packaging amount of the entity inventory combination.

The pre-packing amount of the entity inventory corresponding to the first data object is equal to the product of the first number and the pre-packing amount of the entity inventory combination. The prepopulation amount of the entity inventory corresponding to the second data object is equal to the product of the second number and the prepopulation amount of the entity inventory combination.

For example, when it is determined that the entity inventory of the data Object001 occupied by the entity repository WH001 is m and the entity inventory of the occupied data Object002 is 2 × m according to the combined pre-pack indication information, the table 4 may be updated so that the entity inventory of the data Object001 is a1-m and the entity inventory of the data Object002 is b1- (2 × m) in the entity repository WH001, and an entry of the entity inventory combination may be added to indicate the pre-pack amount of the entity inventory combination.

In this embodiment, the computing device may perform prediction according to a plurality of orders to obtain a plurality of combined information. Different combinations may include the same or different data objects.

The following illustrates a process of performing combined pre-packing indication for a plurality of combinations in an entity warehouse. For example, two merchants are associated with the same entity warehouse, that is, the two merchants can store entity inventory in the same entity warehouse (for example, entity warehouse WH 001).

The combination information obtained by the computing device and the predicted order amount (unit: set) of each combination can be shown in table 6.

TABLE 6

Merchant ID	Combined information	Predicting order volume
			Owner001	Combination 11: 1 Object001+1 Object002	n1
Owner001	Combination 12: 1 Object001+1 Object003	n2
			Owner001	Combination 13: 1 Object001+2 objects 005	n3
Owner001	Combination 14: 1 Object002+1 Object004	n4
			Owner002	Combination 21: 2 objects 007+1 objects 008	n5
Owner002	Combination 22: 1 Object007+1 Object006	n6

The latest entity inventory information of the entity warehouse WH001 is shown in table 7, for example.

TABLE 7

It should be noted that the combinations associated with each merchant ID in table 6 may be arranged in a certain order, for example, the order quantity of the combinations in a preset time duration is arranged from high to low; alternatively, they may be arranged randomly. However, this is not limited in this application.

For example, as can be seen from tables 6 and 7, when k1 is greater than or equal to n1+ n2+ n3, k2 is greater than or equal to n1+ n4, k3 is greater than or equal to n2, k4 is greater than or equal to n4, k5 is greater than or equal to 2 × n3, k6 is greater than or equal to n6, k7 is greater than or equal to 2 × n5+ n6, and k8 is greater than or equal to n5 (i.e., when the amount of the physical inventory of each data object is sufficient), the amount of pre-wrapping, i.e., the amount of pre-wrapping is equal to the corresponding amount of predicted orders, may be determined based on the amount of predicted orders for each combination.

When the physical inventory of one or more data objects is insufficient (i.e., the predicted order amount of the combination cannot be satisfied), when the combinations associated with each merchant ID are arranged in a certain order, the priority may be determined in the order of arrangement, and the physical inventory of the data objects is occupied preferentially according to the prepackaged amount of the combination with the higher priority. However, this is not limited in this application.

It should be noted that steps 101 to 103 of this embodiment may be executed periodically, or executed after receiving the trigger instruction. For example, steps 101 to 103 may be performed periodically during a sales promotion by a merchant, or steps 101 to 103 may be triggered by instructions after the merchant starts the sales promotion.

It should be noted that the first percentage, the second percentage, the third percentage, the fourth percentage, the fifth percentage, the sixth percentage, the first predetermined ratio, and the second predetermined ratio in this embodiment may be set according to actual situations. This is not limited by the present application.

The embodiment can predict which data objects are likely to be combined into a popular combination through data analysis, thereby determining the combined pre-packet indication information. Thus, by pre-packaging the combinations, picking efficiency during order fulfillment is improved. In the embodiment, the traditional mode that the WMS can indicate to pick only when receiving an order in the related art is changed, and the picking is performed in advance according to the combined pre-packet indication information of the data object, so that the picking efficiency is greatly improved. Particularly, during sales promotion of merchants, the delivery efficiency can be greatly improved and the delivery pressure of the physical warehouse can be reduced by picking in advance according to the data analysis result.

In a second embodiment, as shown in fig. 3, an inventory management device includes:

a first obtaining module 301, configured to obtain a first order information set of multiple orders associated with a first data object and a second order information set of multiple orders associated with a second data object;

a first processing module 302, configured to determine combination information of the first data object and the second data object according to the first order information set and the second order information set;

the second processing module 303 is configured to determine, according to the combination information, combination pre-packing indication information of the first data object and the second data object.

In this embodiment, the first obtaining module 301 is a part of the above apparatus responsible for obtaining information, and may be software, hardware, or a combination of the two.

In this embodiment, the first processing module 302 is a part of the above apparatus responsible for determining the combination information, and may be software, hardware, or a combination of the two.

In this embodiment, the second processing module 303 is a part of the above apparatus responsible for determining the combined pre-packet indication information, and may be software, hardware, or a combination of the two.

In some implementations, the first order information set may include: an order ID for each order; the second order information set may include: an order ID for each order;

the first processing module 302 may be configured to determine combination information of the first data object and the second data object from the first order information set and the second order information set by:

In some implementations, the first order information set may further include: the number of first data objects included in each order; the second order information set may further include: the number of second data objects included in each order;

the first processing module 302 may be further configured to determine combination information of the first data object and the second data object according to the first order information set and the second order information set by:

In some implementations, the first order information set may include: an order ID of each order, a number of first data objects included in each order; the second order information set may include: an order ID of each order, a number of second data objects included in each order;

In some implementations, the first processing module 302 can be further configured to determine the combination information of the first data object and the second data object according to the first order information set and the second order information set by:

In some implementations, the first order information set may include: an order ID for each order, a merchant ID in each order; the second order information set may include: an order ID for each order, a merchant ID in each order;

the first processing module 302 is further configured to determine combination information of the first data object and the second data object according to the first order information set and the second order information set by:

determining the combination proportion of the first data object and the second data object in the order corresponding to each order ID associated with the merchant ID in the intersection according to the number of the first data object and the number of the second data object in the order corresponding to each order ID associated with the merchant ID in the intersection;

determining the number of order IDs associated in the intersection of each combination proportion associated with the merchant IDs;

screening out the combination proportion of the merchant ID associations, the number of the order IDs associated in the intersection set meets a fifth preset condition;

and determining the number of the first data objects and the number of the second data objects in one combination related to the merchant ID according to the screened combination proportion.

In some implementations, the inventory management device of this embodiment may further include: a first providing module 304 for providing entity inventory information of the first data object and the second data object;

the second processing module 303 is configured to determine the combined pre-packing indication information of the first data object and the second data object according to the combination information by:

In some implementations, the inventory management device of this embodiment may further include: a second providing module 305 for providing a combined predicted order amount, wherein the combination comprises a first number of first data objects and a second number of second data objects;

the second processing module 303 is configured to determine the combined pre-packing indication information of the first data object and the second data object according to the combination information by any one of the following manners:

determining a first predicted order amount for the first data object based on the first number and the combined predicted order amount; determining a second predicted order amount for the second data object based on the second number and the combined predicted order amount; aiming at an entity warehouse storing entity stocks corresponding to a first data object and a second data object, determining a pre-packing amount of an entity stock combination according to a first predicted order amount, a second predicted order amount, an entity stock amount corresponding to the first data object and an entity stock amount corresponding to the second data object;

In some implementations, the second processing module 303 can be further configured to:

In addition, other details about the operations performed by the modules in the apparatus of the present embodiment can be seen in embodiment one.

An inventory management method according to a third embodiment is shown in fig. 4, and includes:

step 401: after receiving the pre-packaging instruction, the computing equipment indicates to perform combined pre-packaging on the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object according to the combined pre-packaging indication information of the first data object and the second data object;

step 402: after receiving the order, after inquiring that the order comprises the combination of the first data object and the second data object, the order is instructed to pick from the pre-packaged entity stock combination.

Wherein, the pre-package command can be initiated by a user or an administrator at a human-computer interaction interface. Alternatively, the pre-packet instructions may be automatically initiated periodically by the computing device at a preset period.

For example, based on table 6, the computing device, upon receiving the pre-packet instruction, may instruct to perform pre-packet operations for combination 11, combination 12, combination 13, combination 14, combination 21, and combination 22. For example, for combination 11, it may be indicated that the physical inventory corresponding to 1 data Object001 and the physical inventory corresponding to 1 data Object002 are packaged to form one package.

Wherein the pre-packaged entity inventory combinations are placed in separate pre-packaged storage areas for subsequent sorting. For example, based on table 6, the entity inventory combination associated with merchant Owner001 may be pre-packaged in the pre-package storage area 1, that is, the pre-package storage area 1 may include a plurality of packages from combination 11 to combination 14; entity inventory combinations associated with the merchant Owner002 are prepackaged and placed in the prepackage storage area 2, i.e., the prepackage storage area 2 may include multiple packages of combinations 21 and 22.

In some implementation manners, when the combined pre-packaging operation is instructed, quality inspection can be performed on the entity inventory combination after pre-packaging, so that subsequent delivery efficiency is improved.

After receiving the order, inquiring whether the combination of the data objects included in the order can be matched with the pre-packaged entity inventory combination, if the combination of the data objects included in the order is matched with the pre-packaged entity inventory combination, occupying the pre-packaged combination inventory, and indicating that commodity picking is carried out on the order from the pre-packaged entity inventory combination.

In some implementations, when the order only includes the combination of the data objects, the combined inventory of the pre-package storage area may be occupied, so that the warehouse worker can directly pick the corresponding package from the pre-package storage area, thereby improving the picking efficiency and the delivery efficiency; when the order further includes data objects other than the combination of data objects, then all of the items included in the order may be occupied in accordance with normal inventory occupancy procedures.

For example, the order includes the following information: the merchant Owner001, 1 Object002 and 1 Object 4; based on table 6, the order may be matched to portfolio 14 (portfolio 14: 1 Object002+1 Object004), and upon receiving the order, the computing device may occupy the pre-packaged combination of entity inventory corresponding to portfolio 14 in the pre-packaged storage area (e.g., pre-packaged storage area 1) and instruct the warehouse staff that the pre-packaged combination of entity inventory may be picked directly from the pre-packaged storage area for shipment.

For example, the order includes the following information: the merchant Owner001, 2 objects 002 and 2 objects 004; based on table 6, the order may be matched to portfolio 14 (portfolio 14: 1 Object002+1 Object004), and the computing device, upon receiving the order, may take two physical inventory portfolios corresponding to the already prepackaged portfolio 14 in the prepackaged storage area and instruct the warehouse staff that the two already prepackaged physical inventory portfolios may be picked directly from the prepackaged storage area for shipment.

In some implementations, when the order includes at least a combination of data objects, the combined inventory of the pre-packaged storage area may be occupied, and the physical inventory of other data objects may be occupied according to a normal inventory occupation process.

For example, the order includes the following information: the merchant Owner, Owner001, 1 Object002 and 2 objects 004; based on table 6, the order may be matched to portfolio 14 (portfolio 14: 1 Object002+1 Object004), i.e., the order includes portfolio 14 and 1 Object004, then the computing device upon receiving the order may occupy the 1 already pre-packaged entity inventory portfolio corresponding to portfolio 14 in the pre-packaged storage area and occupy the 1 Object004 entity inventory according to the normal inventory occupancy procedures, thereby indicating that the warehouse staff may pick the already pre-packaged entity inventory portfolio directly from the pre-packaged storage area and the 1 entity inventory from the Object004 location for package shipment.

For example, the order includes the following information: the merchant Owner001, 1 Object005, 1 Object002 and 1 Object 004; based on table 6, the order may be matched to portfolio 14 (portfolio 14: 1 Object002+1 Object004), i.e., the order includes portfolio 14 and 1 Object005, then the computing device may, upon receiving the order, occupy the 1 already pre-packaged combination of entity inventory corresponding to portfolio 14 in the pre-packaged storage area, and occupy the 1 Object005 of entity inventory according to the normal inventory occupancy procedures, thereby indicating that the warehouse staff may pick the already pre-packaged combination of entity inventory directly from the pre-packaged storage area, and pick 1 entity inventory from the cargo space of Object005, and then package for shipment.

In summary, after receiving the pre-packaging instruction, the embodiment can pre-package the entity inventory combination; when orders are fulfilled to make inventory occupation, the entity inventory combination packaged in advance is occupied preferentially, so that a picking warehouse worker can directly use the packaged entity inventory combination when picking, and the picking efficiency is greatly improved. In the embodiment, the traditional mode that the WMS can indicate to pick only when receiving orders in the related art is changed, and picking is performed in advance according to the combined pre-packet indication information, so that the picking efficiency is greatly improved. Particularly, during sales promotion of merchants, the combination is picked in advance according to data analysis results, so that the delivery efficiency can be greatly improved, and the delivery pressure of the warehouse is reduced.

In a fourth embodiment, as shown in fig. 5, an inventory management device includes:

a first receiving module 501, configured to receive a pre-packaging instruction and an order;

a first indicating module 502, configured to indicate, after the first receiving module 501 receives the pre-packing instruction, to perform pre-packing on the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object according to the combined pre-packing indication information of the first data object and the second data object;

a second indicating module 503, configured to, after the first receiving module 501 receives the order, instruct to pick from the pre-packaged entity inventory combination after querying that the order includes a combination of the first data object and the second data object.

In this embodiment, the first receiving module 501 is a part of the above apparatus responsible for receiving information, and may be software, hardware, or a combination of the two.

In this embodiment, the first indication module 502 and the second indication module 503 are portions of the above apparatus responsible for indicating information, and may be software, hardware, or a combination of the two.

In addition, for other details about the operations performed by the respective modules in the apparatus of the present embodiment, reference may be made to embodiment three.

Fifth embodiment, as shown in fig. 6, an inventory management method includes:

step 601: receiving, by a computing device, shelving information for a data object;

step 602: and determining the recommended goods position of the entity library corresponding to the data object in the entity warehouse according to the shelving information and the combination information of the data object.

Wherein, for an entity warehouse, the shelving information may include: the merchant ID, the data object ID, and the projected listing number of the entity inventory corresponding to the data object ID.

In some implementations, after step 602, the inventory management method of this embodiment may further include:

and instructing to adjust the entity inventory corresponding to the data object from the original position in the entity warehouse to the recommended goods position.

In some implementations, step 602 can include:

For example, the shelving information includes: the merchant ID is Owner001, the data objects for planned shelving are Object001 and Object005, the planned quantity of shelving l1 for Object001 and the planned quantity of shelving l2 for Object 005; based on table 6 and table 7, it can be determined that the cargo level of the entity inventory of Object001 is still located 001, and it is recommended to adjust the cargo level of the entity inventory of Object005 to be near the cargo level (Location001) of the entity inventory of Object001, for example, it can be determined that the recommended cargo level of the entity inventory of Object005 is located 005, that is, the entity inventory of Object005 on the shelf is placed in Location005, and the entity inventory on the original cargo level (Location010) is also adjusted to Location 005.

The space layout optimization is carried out to the entity stock in the entity warehouse when the goods are put on shelf by the embodiment, and the subsequent picking rate is assisted to be improved.

In a sixth embodiment, as shown in fig. 7, an inventory management device includes:

a second receiving module 701, configured to receive shelving information of a data object;

the third processing module 702 is configured to determine, according to the shelving information and the combination information of the data object, that the entity library corresponding to the data object exists in the recommended cargo space in the entity warehouse.

In this embodiment, the second receiving module 701 is a part of the above apparatus responsible for receiving information, and may be software, hardware, or a combination of the two.

In this embodiment, the third processing module 702 is a part of the above apparatus responsible for information processing, and may be software, hardware, or a combination of the two.

In some implementations, the inventory management device of this embodiment may further include: and the third indicating module is used for indicating that the entity inventory corresponding to the data object is adjusted to the recommended goods position from the original position in the entity warehouse.

In some implementations, the third processing module 702 may be configured to determine, according to the shelving information and the combination information of the data object, that the entity library corresponding to the data object exists in the recommended goods location in the entity warehouse by:

In addition, for other details about the operations performed by the respective modules in the apparatus of the present embodiment, reference may be made to embodiment five.

Seventh embodiment, as shown in fig. 8, an inventory management method includes:

step 801: the computing device obtains a third order information set of a plurality of orders associated with a third data object;

step 802: and determining the pre-packaging indication information of the third data object according to the third order information set.

The third order information set may include order information of a plurality of orders associated with the third data object. Each order corresponds to one piece of order information. In some implementations, each piece of order information associated with the third data object may include: an order Identification (ID), merchant information (such as merchant ID, name, etc.), customer information (such as customer ID, customer contact, shipping address information, etc.), third data object information included in the order (such as ID, name, unit price, quantity, etc. of the third data object).

Wherein the pre-packing indication information of the third data object may include: the name or ID of the third data object, and the pre-package amount of the entity inventory corresponding to the third data object; alternatively, the method may further include: the third data object corresponds to location information of the physical inventory (e.g., the physical warehouse and the cargo space information where the physical inventory is located), and merchant information (e.g., a merchant ID or name) associated with the third data object.

In some implementations, the third order information set may include: the number of third data objects included in each order;

the inventory management method of this embodiment may further include: providing entity inventory information and predicted order amounts for a third data object; the entity inventory information may include an entity inventory quantity of a third data object in the one or more entity warehouses;

step 802 may include:

determining the total number of third data objects in the plurality of orders according to the third order information set;

when the total number of the third data objects meets a seventh preset condition, determining to pre-pack an entity inventory corresponding to the third data objects in an entity warehouse;

and determining the pre-pack amount of the entity inventory corresponding to the third data object in the entity warehouse according to the predicted order amount of the third data object and the corresponding entity inventory amount in each entity warehouse.

Wherein the seventh predetermined condition may include: greater than or equal to the seventh threshold. For example, where the plurality of orders associated with the third data object are selected from all orders over the predetermined length of time, the seventh threshold may be determined based on a product of a total number of orders and a seventh percentage over the predetermined length of time.

Wherein, for an entity warehouse, when the predicted order amount of the third data object is smaller than the entity inventory amount of the third data object in the entity warehouse, it can be determined that the pre-parcel amount of the entity inventory of the third data object in the entity warehouse is smaller than or equal to the predicted order amount according to the predicted order amount, for example, according to the product of the predicted order amount and a third predetermined proportion; when the predicted order amount of the third data object is greater than or equal to the entity inventory amount of the third data object in the entity warehouse, it may be determined that the pre-parcel amount of the entity inventory of the third data object in the entity warehouse is less than or equal to the entity inventory amount according to the entity inventory amount, for example, it may be determined according to a product of the entity inventory amount and a fourth predetermined ratio.

The embodiment can predict which commodities are likely to be money-exploding commodities through data analysis; pre-packaging the money-exploding commodities according to the prediction result; when orders are fulfilled to make inventory occupation, commodities packaged in advance are preferentially occupied, so that a sorting warehouse worker can directly use the packaged commodities when picking the commodities, and the sorting efficiency is greatly improved. In the embodiment, the traditional mode that the WMS can indicate to pick only when receiving orders in the related art is changed, and picking is performed in advance according to the commodity prediction result, so that the picking efficiency is greatly improved. Particularly, during sales promotion of merchants, the goods can be picked in advance according to the goods prediction result, so that the delivery efficiency can be greatly improved, and the delivery pressure of a warehouse can be reduced.

Eighth embodiment, an inventory management device, as shown in fig. 9, includes:

a second obtaining module 901, configured to obtain a third order information set of multiple orders associated with a third data object;

a fourth processing module 902, configured to determine pre-packing indication information of the third data object according to the third order information set.

In this embodiment, the second obtaining module 901 is a part of the above apparatus responsible for obtaining information, and may be software, hardware, or a combination of the two.

In this embodiment, the fourth processing module 902 is a part of the above apparatus responsible for information processing, and may be software, hardware, or a combination of the two.

the inventory management device of this embodiment may further include: a third providing module for providing entity inventory information and predicted order amounts for a third data object; wherein the entity inventory information includes an entity inventory of the third data object in the one or more entity warehouses;

the fourth processing module 902 is configured to determine the pre-packing indication information of the third data object according to the third order information set by:

In addition, for further details about the operations performed by the respective modules in the apparatus of the present embodiment, reference may be made to embodiment seven.

Example nine

This embodiment provides an inventory management device, including: a memory and a processor;

wherein the memory is used for storing a program for inventory management, and the program for inventory management executes the following operations when read and executed by the processor:

acquiring a first order information set of a plurality of orders associated with a first data object and a second order information set of a plurality of orders associated with a second data object; determining combination information of the first data object and the second data object according to the first order information set and the second order information set; and determining the combined pre-packing indication information of the first data object and the second data object according to the combined information.

In this embodiment, when the program for performing inventory management is read and executed by the processor, the operations performed correspond to steps 101 to 103 in the first embodiment; for further details of the operations performed by the program, reference may be made to embodiment one.

Example ten

after receiving the pre-packaging instruction, indicating to perform combined pre-packaging on the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object according to the combined pre-packaging indication information of the first data object and the second data object; after receiving the order, after inquiring that the order comprises the combination of the first data object and the second data object, the order is instructed to pick from the pre-packaged entity stock combination.

In this embodiment, when the program for performing inventory management is read and executed by the processor, the operations performed correspond to steps 401 to 402 in the third embodiment; for further details of the operations performed by the program, see example three.

EXAMPLE eleven

In this embodiment, when the program for performing inventory management is read and executed by the processor, the operations performed correspond to steps 601 to 602 in the fifth embodiment; additional details of the operations performed by the program can be found in example five.

Example twelve

In this embodiment, when the program for performing inventory management is read and executed by the processor, the operations performed correspond to steps 801 to 802 in the seventh embodiment; further details of the operations performed by the program can be found in example seven.

The embodiment of the present application further provides a computer-readable storage medium, which stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the inventory management method of the first embodiment is implemented.

The third embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the inventory management method of the third embodiment is implemented.

The embodiments of the present application further provide a computer-readable storage medium, in which computer-executable instructions are stored, and when executed by a processor, the inventory management method of the fifth embodiment is implemented.

The present application further provides a computer-readable storage medium storing computer-executable instructions, which when executed by a processor implement the inventory management method of the seventh embodiment.

It will be understood by those skilled in the art that all or part of the steps of the above methods may be implemented by a program instructing associated hardware (e.g., a processor) to perform the steps, and the program may be stored in a computer readable storage medium, such as a read only memory, a magnetic or optical disk, and the like. Alternatively, all or part of the steps of the above embodiments may be implemented using one or more integrated circuits. Accordingly, the modules/units in the above embodiments may be implemented in hardware, for example, by an integrated circuit, or may be implemented in software, for example, by a processor executing programs/instructions stored in a memory to implement the corresponding functions. The present application is not limited to any specific form of hardware or software combination.

The foregoing shows and describes the general principles and features of the present application, together with the advantages thereof. The present application is not limited to the above-described embodiments, which are described in the specification and drawings only to illustrate the principles of the application, but also to provide various changes and modifications within the spirit and scope of the application, which are within the scope of the claimed application.

Claims

1. An inventory management method, comprising:

the method comprises the steps that a computing device obtains a first order information set of a plurality of orders related to a first data object and a second order information set of the plurality of orders related to a second data object; the first order information set comprises: an order identification ID of each order; the second order information set comprises: an order ID for each order;

determining combination information of a first data object and a second data object according to the first order information set and the second order information set; the combination information at least includes: determining a combination incidence relation of the first data object and the second data object according to an intersection of order IDs in the first order information set and the second order information set, and the number of the first data object and the number of the second data object in one combination;

and determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information.

2. The inventory management method according to claim 1,

3. The inventory management method according to claim 2,

the first order information set further comprises: the number of first data objects included in each order;

the second order information set further comprises: the number of second data objects included in each order;

after determining that a combined incidence relation exists between the first data object and the second data object, determining a combined proportion of the first data object and the second data object included in the order corresponding to each order ID in the intersection according to the number of the first data object and the number of the second data object included in the order corresponding to each order ID in the intersection;

determining the number of order IDs associated in the intersection for each combination proportion;

4. The inventory management method according to claim 1,

5. The inventory management method according to claim 4,

6. The inventory management method according to claim 1,

the first order information set further comprises: a merchant ID in each order;

the second order information set further comprises: a merchant ID in each order;

7. The inventory management method according to claim 6,

determining a combination proportion of the first data object and the second data object in the order corresponding to each order ID associated with the merchant ID in the intersection according to the number of the first data object and the number of the second data object in the order corresponding to each order ID associated with the merchant ID in the intersection;

8. The inventory management method as recited in claim 1 further comprising: providing entity inventory information for a first data object and a second data object;

9. The inventory management method according to claim 3, 5 or 7,

the first order information set further comprises: receiving address information for each order;

the second order information set further comprises: receiving address information for each order;

in the entity warehouse storing the entity inventory corresponding to the first data object and the second data object, when the receiving addresses associated with the predetermined number of order IDs in the transaction satisfy the preset distribution range of the entity warehouse storing the entity inventory corresponding to the first data object and the second data object, and the predetermined number satisfies a sixth preset condition, determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information.

10. The inventory management method as recited in claim 8 further comprising: providing a predicted order amount for a combination, the combination comprising a first number of first data objects and a second number of second data objects;

11. The inventory management method according to claim 8,

the inventory management method further includes: providing a predicted order amount for a combination, the combination comprising a first number of first data objects and a second number of second data objects;

aiming at an entity warehouse storing entity stocks corresponding to a first data object and a second data object, determining a pre-packing amount of an entity stock combination according to the first predicted order amount, the second predicted order amount, an entity stock amount corresponding to the first data object and an entity stock amount corresponding to the second data object; wherein the entity inventory combination comprises an entity inventory corresponding to a first number of first data objects and an entity inventory corresponding to a second number of second data objects.

12. The inventory management method according to claim 8,

13. The inventory management method according to any of claims 10 to 12, further comprising:

for the entity warehouse storing the entity inventory corresponding to the first data object and the second data object, after determining the pre-packing amount of the entity inventory combination,

14. The inventory management method as recited in claim 1 further comprising:

the computing device obtains a third order information set of a plurality of orders associated with a third data object;

and determining the pre-packaging indication information of the third data object according to the third order information set.

15. The inventory management method according to claim 14,

the third order information set comprises: the number of third data objects included in each order;

determining the pre-packing indication information of the third data object according to the third order information set includes:

determining the total number of third data objects in the plurality of orders according to a third order information set;

16. An inventory management method, comprising:

after receiving the pre-packaging instruction, the computing equipment indicates to perform combined pre-packaging on the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object according to the combined pre-packaging indication information of the first data object and the second data object;

after receiving the order, instructing to pick from the pre-packaged entity stock combination after inquiring that the order comprises the combination of the first data object and the second data object;

the combined pre-packing indication information of the first data object and the second data object is determined according to the combined information of the first data object and the second data object, and the combined information is determined according to the first order information set and the second order information set;

the first order information set comprises: an order identification ID of each order; the second order information set comprises: an order ID for each order; the combination information at least includes: and determining the combination incidence relation of the first data object and the second data object according to the intersection of the order IDs in the first order information set and the second order information set, and the quantity of the first data object and the quantity of the second data object in one combination.

17. An inventory management method, comprising:

receiving, by a computing device, shelving information for a data object;

determining an entity library corresponding to the data object to be stored in a recommended goods position in an entity warehouse according to the shelving information and the combination information of the data object;

the combination information is determined according to a first order information set and a second order information set;

18. The inventory management method of claim 17, wherein after determining that the physical library to which the data object corresponds exists in the recommended placement in the physical warehouse, the inventory management method further comprises:

19. The inventory management method according to claim 17 or 18,

the determining that the entity library corresponding to the data object exists in the recommended goods space in the entity warehouse according to the shelving information and the combination information of the data object includes:

20. An inventory management device, comprising:

the first acquisition module is used for acquiring a first order information set of a plurality of orders associated with a first data object and a second order information set of a plurality of orders associated with a second data object; the first order information set comprises: an order identification ID of each order; the second order information set comprises: an order ID for each order;

the first processing module is used for determining the combination information of the first data object and the second data object according to the first order information set and the second order information set; the combination information at least includes: determining a combination incidence relation of the first data object and the second data object according to an intersection of order IDs in the first order information set and the second order information set, and the number of the first data object and the number of the second data object in one combination;

21. The inventory management device according to claim 20,

22. The inventory management device according to claim 21,

23. The inventory management device as recited in claim 20 further comprising: a first providing module for providing entity inventory information of a first data object and a second data object;

24. The inventory management device as recited in claim 23 further comprising: a second providing module for providing a combined predicted order amount, wherein the combination comprises a first number of first data objects and a second number of second data objects;

25. The inventory management device as recited in claim 20 further comprising:

26. An inventory management device, comprising:

a second indicating module, configured to, after the first receiving module receives the order and after it is queried that the order includes a combination of the first data object and the second data object, indicate to pick from the pre-packaged entity inventory combination;

27. An inventory management device, comprising:

the third processing module is used for determining the recommended goods position of the entity library corresponding to the data object in the entity warehouse according to the shelving information and the combination information of the data object;

28. The inventory management device as claimed in claim 27, wherein the third processing module is configured to determine the recommended cargo space of the physical warehouse where the physical warehouse corresponding to the data object exists in the physical warehouse according to the shelving information and the combination information of the data object by:

29. An inventory management device, comprising: a processor and a memory;

wherein the memory is used for storing a program for inventory management; the program for inventory management, when read and executed by the processor, performs the following operations:

acquiring a first order information set of a plurality of orders associated with a first data object and a second order information set of a plurality of orders associated with a second data object; the first order information set comprises: an order identification ID of each order; the second order information set comprises: an order ID for each order; determining combination information of a first data object and a second data object according to the first order information set and the second order information set; the combination information at least includes: determining a combination incidence relation of the first data object and the second data object according to an intersection of order IDs in the first order information set and the second order information set, and the number of the first data object and the number of the second data object in one combination; and determining the combined pre-packaging indication information of the first data object and the second data object according to the combined information.

30. An inventory management device, comprising: a processor and a memory;

after receiving the pre-packaging instruction, indicating to perform combined pre-packaging on the entity inventory corresponding to the first data object and the entity inventory corresponding to the second data object according to the combined pre-packaging indication information of the first data object and the second data object;

31. An inventory management device, comprising: a processor and a memory;

receiving shelving information of the data object;

determining an entity library corresponding to the data object to be stored in a recommended goods position in an entity warehouse according to the shelving information and the combination information of the data object; the combination information is determined according to a first order information set and a second order information set;