CN115456493A

CN115456493A - Method, device, equipment, medium and product for generating warehousing request

Info

Publication number: CN115456493A
Application number: CN202110644298.XA
Authority: CN
Inventors: 张强; 叶正康
Original assignee: Beijing Orange Heart Infinite Technology Development Co ltd
Current assignee: Beijing Orange Heart Infinite Technology Development Co ltd
Priority date: 2021-06-09
Filing date: 2021-06-09
Publication date: 2022-12-09

Abstract

The application provides a method, a device, equipment, a medium and a product for generating a warehousing request, wherein the method comprises the following steps: responding that the commodity information input operation executed by the supplier terminal meets a preset condition, and searching a historical delivery record of a target commodity with the similarity to the commodity information exceeding a preset threshold value according to the commodity information corresponding to the commodity information input operation; generating recommended warehousing information according to the historical distribution record of the target commodity; outputting the recommended warehousing information on a supplier terminal so that the supplier terminal generates a warehousing request of the goods to be transported according to the recommended warehousing information; the goods to be transported are the goods which are sold by the shopping platform and are transported to the warehouse by a supplier using a supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are delivered to a pre-buyer within a preset distance from the warehouse; the pre-buyer is an organization group which distributes commodities for the consumers in a centralized way after the commodities are sold by the shopping platform in a group buying way.

Description

Method, device, equipment, medium and product for generating warehousing request

Technical Field

The present application relates to the field of information processing technologies, and in particular, to a method, an apparatus, a computer device, and a medium for generating a warehousing request.

Background

The community group buying is an internet online and offline shopping consumption behavior of a resident group in a real residential community, and is a regional, small, popular, local and networked group buying form depending on the real community. In short, the method is a new retail mode for realizing fresh commodity circulation by depending on community and group social relations. A certain number of consumers purchase the same item at a low discount through a community or some group-buying organization of the society offering the community. The consumer purchases commodities under the group purchase platform, the shopping platform collects the order information of the consumer and then sends the order information to the merchant, the merchant distributes the commodities corresponding to the order information to the warehouse of the shopping platform according to the order information, the warehouse carries out quality inspection, counting, warehousing, sorting and other series of operations, then the commodities are handed to a driver of commodity distribution, the driver distributes the commodities to the group leader, and the group leader informs the consumer to carry the commodities to complete the whole transaction process. In the whole transaction process, most commodities can be purchased on the same day and can be purchased the next day, and the commodity distribution efficiency is improved.

Disclosure of Invention

In view of the above, an object of the present application is to provide a method, an apparatus, a device, a medium, and a product for generating a warehousing request, which solve the problem of the prior art that delivery of goods by a supplier is crowded.

According to one aspect of the present application, an electronic device may include a storage medium and a processor in communication with the storage medium. The storage medium stores machine-readable instructions executable by the processor. When the electronic device is operated, the processor communicates with the storage medium through the bus, and the processor executes the machine readable instructions to perform the following operations:

in a first aspect, an embodiment of the present application provides a method for generating a warehousing request, including:

responding that a commodity information input operation executed by a supplier terminal meets a preset condition, and searching a historical delivery record of a target commodity with the similarity exceeding a preset threshold value with the commodity information according to the commodity information corresponding to the commodity information input operation;

generating recommended warehousing information according to the historical distribution record of the target commodity;

outputting the recommended warehousing information on the supplier terminal so that the supplier terminal generates a warehousing request of the goods to be transported according to the recommended warehousing information; the goods to be transported are goods which are sold by a shopping platform and are transported to a warehouse by a supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are used for being delivered to a pre-buyer within a preset distance from the warehouse; the pre-buyer is an organization group which distributes commodities for the consumers in a centralized way after the commodities are sold by the shopping platform in a group buying way.

Optionally, the commodity information includes any one or more of the following information:

the user name of a supplier transporting the goods to be transported, the goods name of the goods to be transported, the goods type of the goods to be transported and the goods number of the goods to be transported.

Optionally, determining the commodity information corresponding to the commodity information input operation includes:

searching commodity information of the commodity to be transported, which is associated with the user name, according to the user name carried by the commodity information input operation;

and determining the commodity information as the commodity information corresponding to the commodity information input operation.

Optionally, the method further includes:

according to the user name, searching the historical distribution record of a supplier using the user name;

if the historical distribution record of the supplier using the user name is found, generating recommended warehousing information according to the historical distribution record of the supplier;

and if the historical distribution record of the supplier using the user name is not found, executing the step to generate recommended warehousing information according to the historical distribution record of the target commodity.

Optionally, the commodity information includes a commodity type; generating recommended warehousing information according to the historical distribution record of the supplier, wherein the recommended warehousing information comprises:

inquiring historical delivery records of the target suppliers according to the commodity types; the target merchant is another supplier that has shipped goods conforming to the category of goods to a warehouse;

if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is greater than a preset similarity, generating recommended warehousing information according to the historical distribution record of the target supplier;

if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is not greater than the preset similarity, generating first recommended warehousing information according to the historical distribution record of the supplier, generating second recommended warehousing information according to the historical distribution record of the target commodity, and outputting prompt information generated on the basis of the first recommended warehousing information and the second recommended warehousing information on the supplier terminal.

Optionally, the commodity information includes: the type and number of goods; generating recommended warehousing information according to the historical distribution record of the target commodity, wherein the recommended warehousing information comprises the following steps:

screening a first candidate platform from the selectable platforms according to the commodity types; the first candidate platform is a platform of which the warehouse distance corresponding to the commodity type meets a preset requirement;

screening a first target platform from the first candidate platforms according to the number of commodities; the first target platform is a platform where the acceptable commodity quantity range contains the quantity of the commodity;

and generating recommended warehousing information according to the bookable time period of the first target platform and the historical distribution record of the target commodity.

Optionally, generating recommended warehousing information according to the bookable time period of the first target platform and the historical delivery record of the target commodity, including:

according to the commodity type, inquiring a first historical reservation time period with the largest reservation times of a target commodity of the commodity type;

if the bookable time period of the first target platform comprises a first historical booking time period, generating recommended warehousing information according to the first historical booking time period;

and if the first historical reservation time period is not included in the reservation available time period of the first target platform, generating the recommended warehousing information according to the first selected time period selected by the reservation time period selection operation.

Optionally, generating recommended warehousing information according to the first historical booking time period includes:

according to the commodity type, inquiring a first historical booking platform with the largest booking frequency of a target commodity of the commodity type;

if the first target platform corresponding to the first historical reservation time period comprises the first historical reservation platform, generating recommended warehousing information according to the first historical reservation time period and the first historical reservation platform;

and if the first target platform corresponding to the first historical reservation time period does not comprise the first historical reservation platform, generating recommended warehousing information according to the first selection platform and the first historical reservation time period selected by the reservation platform selection operation.

Optionally, the method further includes:

inquiring a second historical booking time period with the minimum booking frequency according to the historical delivery records of the commodities of all commodity types;

if the reservable time period of the first target platform comprises a second historical reservation time period, generating recommended warehousing information according to the second historical reservation time period;

and if the available reservation time period of the first target platform does not comprise a second historical reservation time period, selecting a second selected time period selected by operation according to the reservation time period, and generating the recommended warehousing information.

Optionally, generating recommended warehousing information according to the second historical reservation time period includes:

inquiring a second historical booking platform with the minimum booking times according to the historical delivery records of the commodities of all the commodity types;

if the first target platform corresponding to the second historical reservation time period comprises the second historical reservation platform, generating recommended warehousing information according to the second historical reservation time period and the second historical reservation platform;

and if the first target platform corresponding to the second historical booking time period does not comprise the second historical booking platform, generating recommended warehousing information according to a second selection platform and a second historical booking time period selected by the booking platform selection operation.

Optionally, the method further includes:

selecting a third selection time period from the selectable reservation time periods according to the reservation time period selection operation;

selecting a third selection platform from the selectable platforms corresponding to the third selection time period according to the appointment platform selection operation;

and generating recommended warehousing information according to the third selection time period and the third selection platform.

In a second aspect, an embodiment of the present application provides an apparatus for generating a warehousing request, including:

the system comprises a first searching module, a second searching module and a third searching module, wherein the first searching module is used for responding that the commodity information input operation executed by a supplier terminal meets a preset condition, and searching the historical distribution record of the target commodity with the similarity exceeding a preset threshold value with the commodity information according to the commodity information corresponding to the commodity information input operation;

the first generation module is used for generating recommended warehousing information according to the historical distribution record of the target commodity;

the output module is used for outputting the recommended warehousing information on the supplier terminal so that the supplier terminal generates a warehousing request of the goods to be transported according to the recommended warehousing information; the goods to be transported are goods which are sold by a shopping platform and are transported to a warehouse by a supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are used for being distributed to a pre-buyer within a preset distance from the warehouse; the pre-buyer is an organization group which distributes commodities for the consumers in a centralized way after the commodities are sold by the shopping platform in a group buying way.

Optionally, the response module includes:

the input unit is used for searching the commodity information of the commodity to be transported associated with the user name according to the user name carried by the commodity information input operation;

and the determining unit is used for determining the commodity information as the commodity information corresponding to the commodity information input operation.

Optionally, the apparatus further comprises:

the second searching module is used for searching the historical distribution record of the supplier using the user name according to the user name;

the second generation module is used for generating recommended warehousing information according to the historical distribution record of the supplier if the historical distribution record of the supplier using the user name is found;

and the third generation module is used for executing the step to generate recommended warehousing information according to the historical distribution record of the target commodity if the historical distribution record of the supplier using the user name is not found.

Optionally, the second generating module includes:

the first query unit is used for querying the historical delivery records of the target suppliers according to the commodity types; the target merchant is another supplier who has shipped goods that conform to the goods category to a warehouse;

the first generation unit is used for generating recommended warehousing information according to the historical distribution record of the target supplier if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is greater than a preset similarity;

and the second generating unit is used for generating recommended warehousing information according to the historical distribution record of the supplier if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is not greater than a preset similarity.

Optionally, the first generating module includes:

the first screening unit is used for screening out a first candidate platform from the selectable platforms according to the commodity types; the first candidate platform is a platform of which the warehouse distance corresponding to the commodity type meets a preset requirement;

the second screening unit is used for screening a first target platform from the first candidate platforms according to the commodity quantity; the first target platform is a platform where the acceptable commodity quantity range contains the quantity of the commodity;

and the third generating unit is used for generating recommended warehousing information according to the bookable time period of the first target platform and the historical distribution record of the target commodities.

Optionally, the third generating unit includes:

the first inquiry subunit is used for inquiring a first historical reservation time period with the largest reservation times of the target commodity of the commodity type according to the commodity type;

the first generation subunit is configured to generate recommended warehousing information according to a first historical reservation time period if the reservable time period of the first target platform includes the first historical reservation time period;

and the second generation subunit is used for generating the recommended warehousing information according to the first selection time period selected by the reservation time period selection operation if the first historical reservation time period is not included in the reservable time period of the first target platform.

Optionally, the first generating subunit includes:

a second inquiry subunit, configured to inquire, according to the commodity category, a first historical reservation platform on which a target commodity of the commodity category is most reserved;

a third generation subunit, configured to generate recommended warehousing information according to the first historical reservation time period and the first historical reservation platform if the first target platform corresponding to the first historical reservation time period includes the first historical reservation platform;

and the fourth generation subunit is configured to generate the recommended warehousing information according to the first selection platform selected by the reservation platform selection operation and the first history reservation time period if the first target platform corresponding to the first history reservation time period does not include the first history reservation platform.

Optionally, the apparatus further includes:

the third searching module is used for searching a second historical appointment time period with the minimum appointment frequency according to the historical distribution records of the commodities of all the commodity types;

the fourth generation module is used for generating recommended warehousing information according to a second historical reservation time period if the reservation time period of the first target platform comprises the second historical reservation time period;

and the fifth generation module is used for generating the recommended warehousing information according to a second selected time period selected by the reserved time period selection operation if the second historical reserved time period is not included in the reserved time period of the first target platform.

Optionally, the fourth generating module includes:

the second inquiry unit is used for inquiring a second historical booking platform with the minimum booking frequency according to the historical distribution records of the commodities of all commodity types;

a sixth generating module, configured to generate recommended warehousing information according to the second historical booking time period and a second historical booking platform if the first target platform corresponding to the second historical booking time period includes the second historical booking platform;

and the seventh generation module is used for generating the recommended warehousing information according to the second selection platform and the second historical booking time period selected by the booking platform selection operation if the first target platform corresponding to the second historical booking time period does not comprise the second historical booking platform.

Optionally, the apparatus further includes:

the first selection module is used for selecting a third selection time period from the selectable reserved time periods according to the reserved time period selection operation;

the second selection module is used for selecting a third selection platform from the selectable platforms corresponding to the third selection time period according to the reservation platform selection operation;

and the fourth generation module is used for generating the recommended warehousing information according to the third selection time period and the third selection platform.

In a third aspect, an embodiment of the present application provides an electronic device, including: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the method.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, performs the steps of the method.

In a fifth aspect, embodiments of the present application provide a computer program product comprising a computer program or instructions for executing the steps of the method by a processor.

According to the method, the device, the equipment, the medium and the product for generating the warehousing request, firstly, the commodity information input operation executed by a response supplier terminal meets the preset condition, and according to the commodity information corresponding to the commodity information input operation, the historical distribution record of the target commodity with the similarity exceeding the preset threshold value with the commodity information is searched; secondly, generating recommended warehousing information according to the historical distribution record of the target commodity; finally, the recommended warehousing information is output on the supplier terminal, so that the supplier terminal generates a warehousing request of the goods to be transported according to the recommended warehousing information; the goods to be transported are goods which are sold by a shopping platform and are transported to a warehouse by a supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are used for being delivered to a pre-buyer within a preset distance from the warehouse; the pre-buyer is an organization group which distributes commodities for the consumers in a centralized way after the commodities are sold by the shopping platform in a group buying way. In the embodiment of the application, different recommended warehousing information is determined for the goods to be transported of different suppliers, and the warehousing information comprises the delivery time and the delivery platforms, so that the delivery time and the delivery platforms of the goods to be transported of different suppliers are relatively dispersed, thus different suppliers can deliver the goods at the corresponding delivery time (within the reserved time period), and the condition that the delivery of the suppliers is crowded is avoided.

In order to make the aforementioned objects, features and advantages of the present application comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a schematic diagram illustrating a method for generating a warehousing request according to an embodiment of the present application;

FIG. 2 is a schematic diagram illustrating a community group purchase system provided by an embodiment of the present application;

fig. 3 is a schematic diagram illustrating an appointment time period selection interface provided in an embodiment of the present application;

FIG. 4 is a schematic diagram illustrating an appointment platform selection interface provided by an embodiment of the present application;

fig. 5 is a schematic structural diagram illustrating an apparatus for generating a warehousing request according to an embodiment of the present application;

fig. 6 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are only for illustration and description purposes and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and that steps without logical context may be reversed in order or performed concurrently. In addition, one skilled in the art, under the guidance of the present disclosure, may add one or more other operations to the flowchart, or may remove one or more operations from the flowchart.

In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

To enable those skilled in the art to use the present disclosure, the following embodiments are given in conjunction with a specific application scenario "community group buying". It will be apparent to those skilled in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application. Although the present application is mainly described in the context of community group buying, it should be understood that the present application embodiment may be applied to other services (such as ordering service, logistics distribution service, etc.) besides the application scenario of community group buying, and this application scenario is only one exemplary embodiment.

It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.

The community group buying is an internet online and offline shopping consumption behavior of a resident group in a real residential community, and is a regional, small, popular, local and networked group buying form depending on the real community. In short, the method is a new retail mode for realizing fresh commodity circulation by depending on community and group social relations. The group buying mode of the community comprises a consumer, a shopping platform, a supplier and a warehouse, wherein the consumer is a user for buying goods through the group buying platform, the shopping platform is a platform for selling the goods, the supplier is a user for transporting the goods bought by the consumer through the shopping platform to the warehouse, and the warehouse is used for storing the goods transported by the supplier and bought by the consumer through the shopping platform. A certain number of consumers purchase the same item at a low discount through a community or some group-buying organization of the society offering the community. As shown in fig. 2, a specific transaction flow in the community group purchase mode is as follows, a consumer purchases a commodity under a group purchase platform, the shopping platform collects order information of the consumer and then sends the order information to a supplier, the supplier delivers the commodity corresponding to the order information to a platform of the shopping platform according to the order information, staff at the platform delivers the commodity to a corresponding storage position according to the commodity type, the warehouse stores the commodity received by different storage positions, the warehouse performs a series of operations such as quality inspection, counting, warehousing and sorting on the commodity, then delivers the commodity to a driver of commodity delivery, the driver delivers the commodity to a group leader (one of the consumers), and the group leader informs the consumer of the delivery, thereby completing the whole transaction flow. In the whole transaction process, most commodities can be purchased on the same day and can be purchased the next day, and the commodity distribution efficiency is improved.

At present, in the whole transaction process, most commodities need to guarantee the functions of purchasing the same day and arriving the next day, in order to achieve the functions and enable consumers to receive the commodities in time, a supplier needs to send the commodities to a platform on the next day appointed by the consumers, the platform conveys the commodities to a warehouse for storage, the warehouse rapidly performs a series of operations such as quality inspection, counting, warehousing and sorting on the commodities, then the commodities are delivered, and the consumers take the commodities from the captain. In order to enable the consumer to receive the goods as soon as possible, the shopping platform requires the supplier to send the goods to the warehouse as soon as possible, but the time of the goods delivery of the supplier is basically free according to the time of the supplier, so that the warehouse can receive the goods sent by the supplier at any time, which may cause the situation that the suppliers concentrate on a time period to deliver the goods, the receiving manpower of the warehouse is insufficient, and the situation that the suppliers are crowded, and the quantity of the suppliers delivering the goods in each time period is not fixed, and the receiving manpower cannot be arranged in a targeted manner, so that the situation that the suppliers are crowded or the quantity of the merchants is unbalanced with the receiving manpower, and even the situation that the suppliers cannot store the goods in the warehouse in time due to the crowded suppliers, so that the goods cannot be delivered to the consumer on time.

Based on this, the embodiment of the present application provides a method for generating a warehousing request, which may be applied to a provider terminal and may also be applied to a server. By providing the reserved commodity warehousing request for the suppliers, different suppliers can deliver commodities at the corresponding delivery time, the condition of crowded delivery of the suppliers is reduced, and the delivery timeliness of the community group-buying commodities is also ensured.

As shown in fig. 1, an embodiment of the present application provides a method for generating a warehousing request, where the method includes:

s101, responding that a commodity information input operation executed by a supplier terminal meets a preset condition, and searching a historical distribution record of a target commodity with similarity exceeding a preset threshold value with the commodity information according to the commodity information corresponding to the commodity information input operation;

s102, generating recommended warehousing information according to the historical distribution record of the target commodity;

s103, outputting the recommended warehousing information on the supplier terminal so that the supplier terminal generates a warehousing request of the goods to be transported according to the recommended warehousing information; the goods to be transported are goods which are sold by a shopping platform and are transported to a warehouse by a supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are used for being delivered to a pre-buyer within a preset distance from the warehouse; the pre-purchasing party is an organization group which distributes commodities to consumers in a centralized way after the commodities are sold by the shopping platform in a group purchasing mode.

In the above step S101, the provider terminal is a terminal device used by the provider, and the provider terminal is a computer device, such as a smart phone, a tablet, or the like. The commodity information input operation is an operation of inputting commodity information by the supplier at the supplier terminal, and may include a selection operation, a writing operation, and the like. The commodity information includes any one or more of the following information: a user name of a supplier transporting the goods to be transported, a goods type of the goods to be transported, a goods number of the goods to be transported, a goods name of the goods to be transported, and the like. The user name of the supplier for transporting the goods to be transported is account information used by the supplier to log in a shopping platform in the terminal of the supplier. The types of the commodities to be transported are distinguished according to the properties of the commodities, for example, the commodities needing to be frozen belong to the freezing class, the commodities needing to be preserved belong to the fresh class, and the commodities needing to be stored at normal temperature belong to the normal temperature class. Of course, the types of the commodities can be distinguished in other manners, such as size, application, and the like, and can be determined according to actual conditions. The quantity of the goods to be shipped is the quantity of the goods shipped by the supplier using the supplier terminal. The commodity information corresponding to the commodity information input operation in the above step S101 is commodity information of a commodity to be transported. The preset condition is that the information input by the commodity information input operation meets the condition of searching the historical delivery record of the target commodity with the similarity exceeding the preset threshold value with the commodity information. It should be noted that the types of commodities transported by different suppliers are different, and the types of commodities proxied by different suppliers may also be different.

Since the consumer purchases the goods through the shopping platform and generates order information, after the order information is sent to the supplier, the supplier can determine the name, the kind and the quantity of the goods to be transported according to the order information, and the server can also count the quantity of the goods to be transported by the supplier corresponding to a user name according to the order information generated by the shopping platform and determine the kind of the goods, and it is also possible that the server directly sends the counted quantity and the quantity of the goods to the supplier terminal and stores the quantity and the quantity of the goods by the supplier terminal, therefore, after the supplier inputs a corresponding user name through the shopping platform of the supplier terminal, the server or the supplier terminal can search the kind and the quantity of the goods corresponding to the user name according to the user name input by the supplier. Or the supplier can input the commodity type and the commodity quantity of the corresponding commodity needing to be transported at present on a shopping platform of the supplier terminal. That is, under the condition of different commodity information input operations, the corresponding preset conditions are different, and firstly, when the commodity information needs to be input by a supplier, the preset conditions are that the supplier inputs commodity types and commodity quantity in the commodity information by the shopping platform of the supplier terminal; secondly, when the commodity information can be directly obtained through the server or the supplier terminal, the preset condition is that the supplier inputs a correct user name on a shopping platform of the supplier terminal. In the second case, after the supplier inputs the correct user name by logging in the shopping platform, the server can directly find the commodity information corresponding to the user name according to the user name.

The historical delivery record of the target goods is information recorded by the transportation and storage process after the target goods are delivered to the warehouse by the supplier and stored in the warehouse, and comprises the user name of the supplier delivering the target goods, the goods name of the target goods, the goods type of the target goods, the goods quantity of the target goods, the delivery time period of the target goods, the delivery platform of the target goods, the warehouse location name and the like. The delivery time period is a time period for the supplier to deliver the target goods between the warehouses (or may be a reserved time period reserved by the supplier through a warehousing request), for example, 10 to 11 points. The delivery platform is a place for classifying the commodities before the commodities are stored in the warehouse, and after the commodities are delivered to the platform, the working personnel of the platform classifies the commodities according to the commodity types and conveys the commodities to the corresponding warehouse positions according to the commodity types. The warehouse comprises a plurality of warehouse positions, different warehouse positions are used for receiving commodities of corresponding commodity types, corresponding warehouse position names are arranged on different warehouse positions, the warehouse position names can be unique identifiers used for distinguishing other warehouse positions, and the warehouse position names can be composed of identifiers, such as letters, numbers, special symbols and the like.

In specific implementation, after the commodity information of the commodity information input operation is determined, historical distribution records of target commodities with similarity exceeding a threshold value with the commodity information are searched in the database, the similarity exceeding the threshold value is compared with the user name, the commodity quantity and the commodity type in the commodity information of the historically stored commodities (the commodities stored in the warehouse) recorded in the database respectively according to the user name, the commodity quantity and the commodity type in the commodity information of the historically stored commodities in the database, and the similarity between the commodity information and the commodity information of the historically stored commodities in the database is determined according to a comparison result.

One example of calculating the similarity is to determine the similarity according to the number of the same information in the commodity information. For example, the commodity information of the commodity that the supplier needs to transport currently includes a user name: small strength; the name of the commodity: beef; the types of commodities are as follows: freezing; the number of commodities: 5 kg. The commodity information of the history storage commodity 1 includes a user name: plum two; the commodity name is as follows: beef; the types of commodities are as follows: freezing; the number of commodities: 10 kg. The commodity information of the history storage commodity 2 includes a user name: zhang III; the name of the commodity: apple (Malus pumila) (ii) a; the commodity type: fresh; the number of commodities: 5 kg. After the commodity information of the commodity currently required to be transported by the supplier is compared with the commodity information of each historical storage commodity, the similarity between the commodity information of the commodity currently required to be transported by the supplier and the commodity information of the historical storage commodity 1 is 2, the similarity between the commodity information of the commodity currently required to be transported by the supplier and the commodity information of the historical storage commodity 2 is 1, and the historical storage commodity 1 can be determined as a target commodity according to the comparison result.

Another example of calculating the similarity is to determine the similarity according to the number of the same information in the commodity information and the weight value of each information. For example, the user name has a weight of 1, the product name has a weight of 5, the product type has a weight of 4, and the number of products has a weight of 2. The commodity information of the commodity which needs to be transported currently by the supplier comprises a user name: small strength; the commodity name is as follows: beef; the commodity type: freezing; the number of commodities: 5 kg. The commodity information of the history storage commodity 1 includes a user name: plum two; the commodity name is as follows: beef; the commodity type: fresh; the number of commodities: 10 kg. The commodity information of the history storage commodity 2 includes a user name: zhang III; the commodity name is as follows: apple (Malus pumila) (ii) a; the types of commodities are as follows: fresh; the number of commodities: 1 kg. In the commodity information comparison process, the same information is represented by 1, and the different information is represented by 0. After comparing the commodity information of the commodity currently required to be transported by the provider with the commodity information of each historical storage commodity, the similarity between the commodity information of the commodity currently required to be transported by the provider and the commodity information of the historical storage commodity 1 is 0 × 1+1 × 5+0 × 4+0 × 2=5, the similarity between the commodity information of the commodity currently required to be transported by the provider and the commodity information of the historical storage commodity 2 is 0 × 1+0 × 5+1 × 4+0 × 2=4, and the historical storage commodity 1 can be determined as the target commodity according to the comparison result.

In step S102, the recommended warehousing information is information for guiding the supplier to deliver the commodity to the warehouse, and the recommended warehousing information includes any one or two of the following information: a reservation time period and a reservation dock. The reservation time period is a time period during which the goods to be transported by the supplier are to be delivered at the reservation platform, and the reservation platform is a platform during which the goods to be transported by the supplier are to be delivered at the reservation time period. The receiving amount corresponding to each platform may be unequal, and the number of receiving personnel of each platform in different time periods may also be different, so that the receiving amount of each platform in different time periods has an upper limit, and the reserved number of suppliers of each platform in different reserved time periods is limited according to the upper limit of the receiving amount corresponding to each platform, thereby reducing the crowding caused by delivery of a large number of suppliers in the same time period, and further influencing the delivery timeliness of the group purchase commodities of the community.

In specific implementation, according to the historical delivery record of the target commodity with higher commodity information similarity to the commodity transported by the supplier, the recommended warehousing information for the commodity transported by the supplier is generated, that is, the recommended warehousing information corresponding to the to-be-transported commodity transported by different suppliers is different, that is, different suppliers can deliver the commodity at the corresponding delivery time (within the reserved reservable time period), so that the condition that the delivery of the suppliers is crowded is avoided. .

For example, if the historical delivery record of the target product with high similarity to the product information of the product transported by the supplier is that the warehousing time is 30 minutes at 10 am, the warehousing platform is a 9-th platform, and the time period corresponding to 30 minutes at 10 am is 10-11 am, the generated recommended warehousing information includes the reservation time period of 10-11 am and the reservation platform is a 9-th platform.

In step S103, the goods to be transported are the goods sold by the shopping platform and transported to the warehouse by the supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then delivered to the pre-buyer within the preset distance from the warehouse; the pre-buyer is an organization group which distributes commodities for the consumers in a centralized way after the commodities are sold by the shopping platform in a group buying way. The warehousing request is a request carrying recommended warehousing information and used for reserving a reservation time period and a reservation platform.

And after generating the recommended warehousing information, outputting the recommended warehousing information in a supplier terminal, and displaying the recommended warehousing information so that after knowing the recommended warehousing information, a supplier sends a warehousing request of the commodity to be transported to the server by triggering a request sending control of the supplier terminal. And reserving the reserved time period and the reserved platform of the commodity through the reserved commodity warehousing request. The method and the system have the advantages that recommended warehousing information of the goods to be transported of different suppliers is different, delivery time and delivery platforms corresponding to the goods to be transported of different suppliers are relatively dispersed, the suppliers can deliver goods at the reserved delivery time and the reserved delivery platforms, and the situation that the delivery of the suppliers is crowded is avoided. And the warehousing request is generated by utilizing the recommended warehousing information, so that the staff at the platform can sense the delivery condition of the supplier in advance according to the warehousing request, arrange proper receiving manpower and improve the receiving efficiency.

In the embodiment provided by the application, according to the commodity information input operation of a supplier at a supplier terminal, a historical distribution record with high commodity information similarity with a to-be-transported commodity is searched, recommended warehousing information is generated for the supplier according to the searched historical distribution record, a warehousing request of the to-be-transported commodity is generated on the basis of the recommended warehousing information and is sent to a server, reservation information is generated at the server according to the warehousing request of the to-be-transported commodity, and the server sends the reservation information to the supplier terminal, so that the supplier transports the to-be-transported commodity to a warehouse according to the reservation information. By generating different recommended warehousing information for the goods to be transported of different suppliers, the warehousing information comprises the delivery time and the delivery platform, so that the delivery time and the delivery platform of the goods to be transported of different suppliers are relatively dispersed, and the different suppliers can deliver the goods at the delivery time and the delivery platform corresponding to the suppliers, thereby avoiding the situation of crowded delivery of the suppliers. And the warehouse entry recommending information is utilized to generate a warehouse entry request, so that the working personnel at the platform can sense the delivery condition of the supplier in advance according to the warehouse entry request, and arrange proper receiving manpower to improve the receiving efficiency.

The use scene of the application relates to a community group purchase scene, in the scene, a consumer purchases a commodity through a shopping platform, corresponding order information is generated, the shopping platform sends the order information to a corresponding supplier, and the order information and a user name of the supplier are stored in a server in an associated mode, so that the commodity information of the commodity needing to be transported by the supplier can be found according to the user name of the supplier. Step S101, including:

step 1011, searching commodity information of the to-be-transported commodity associated with the user name according to the user name carried by the commodity information input operation;

step 1012, determining the commodity information as the commodity information corresponding to the commodity information input operation.

In the above steps 1011 and 1012, the product information of the product to be shipped corresponding to the user name of the provider is stored in the server or the provider terminal. After the supplier inputs the user name at the supplier terminal, the supplier terminal searches the commodity information of the commodity to be transported related to the user name in the server or the current terminal according to the user name. The supplier can directly obtain the commodity information of the commodities to be transported only by inputting the user name without inputting the commodity information by the supplier, so that the efficiency of searching the historical distribution record of the target commodities is improved, and the efficiency of generating the warehousing request of the commodities to be transported is improved.

Of course, in addition to directly searching for the commodity information by using the user name, the commodity information corresponding to the commodity information input operation may be determined in the following manner, including:

step 1013, determining first commodity information of the to-be-transported commodity selected by the commodity information input operation as commodity information corresponding to the commodity information input operation;

alternatively, the first and second electrodes may be,

step 1014, determining that the commodity information input operation is written into the first commodity information of the commodity to be transported as the commodity information corresponding to the commodity information input operation.

As can be seen from the above steps 1011-1014, the commodity information can be directly found by the user name, or can be input by the supplier, and regardless of the commodity information determined by the above two ways of determining the commodity information, the user name is input by the supplier when logging in the shopping platform, so the commodity information may or may not include the user name.

In the "community group purchase" mode, as long as a consumer purchases a commodity from a shopping platform, a corresponding supplier delivers the commodity purchased by the consumer to a warehouse, the corresponding supplier needs to send a warehousing request to a server through a supplier terminal, after the supplier delivers the commodity to the warehouse according to reservation information corresponding to the warehousing request, the server or the supplier terminal stores a delivery record (namely, a historical delivery record, the historical delivery record comprises a user name of the supplier delivering the commodity, a commodity name of the commodity delivered by the supplier, a commodity type of the commodity delivered by the supplier, a commodity quantity of the commodity delivered by the supplier, a reservation time period of the commodity delivered by the supplier, and a reservation platform of the commodity delivered by the supplier) of the supplier, when the supplier selects recommended warehousing information, the supplier is mainly selected based on own habits, and the habits are rarely changed in the process of delivering the commodity afterwards, so that recommended warehousing information to the current commodity can be determined based on the historical delivery information of the supplier. The method for generating a warehousing request provided by the application further comprises the following steps:

step 104, searching the historical distribution record of the supplier using the user name according to the user name;

step 105, if the historical distribution record of the supplier using the user name is found, generating recommended warehousing information according to the historical distribution record of the user supplier if the user name has a corresponding historical distribution record;

and 106, if the historical distribution record of the supplier using the user name is not found, and the user name does not have the corresponding historical distribution record, executing the step of generating recommended warehousing information according to the historical distribution record commodity information of the target commodity.

In the step 104, in a specific implementation, the server or the provider terminal stores the historical distribution record corresponding to the user name of the provider, so that after the user name of the provider is obtained, the historical distribution record of the provider corresponding to the user name can be searched for in the provider terminal or the server according to the user name.

In the step 105, if the historical distribution record of the provider corresponding to the user name is found, it is determined that the provider has already distributed the goods, and the historical distribution record of the provider better conforms to the delivery habit of the provider.

It should be noted that, because the reservation time period may correspond to a reservation upper limit, that is, the number of reserved persons corresponding to each reservation time period is not increased without limit, and when the number of reserved persons reaches the maximum number limit, the reservation time period cannot be selected by the supplier, and therefore, the reservation time period for each delivery of the supplier may not be constant, and for this case, when generating the recommended warehousing information according to the historical delivery record, the following manner may be adopted:

the method I comprises the following steps:

and 1051, generating recommended warehousing information according to the historical distribution records of the suppliers closest to the current time.

In step 1051, the historical delivery distance of the supplier closest to the current time is the historical delivery record corresponding to the commodity last delivered by the supplier, the historical reservation time period and the historical reservation platform in the historical delivery record corresponding to the commodity last delivered are screened out, and the recommended warehousing information is generated according to the historical reservation time period and the historical reservation platform.

The second method comprises the following steps:

step 1052, searching historical booking information with the largest booking frequency according to the historical distribution record of the supplier;

and 1053, generating recommended warehousing information according to the historical reservation information with the largest reservation times.

In the above-mentioned step 1052, a historical reservation time period and a historical reservation platform are recorded in each historical delivery record, and according to the historical reservation time period and the historical reservation platform in each historical delivery record, the number of reservations corresponding to each historical reservation time period and the number of reservations corresponding to each historical reservation platform are counted, and the historical reservation time period with the largest number of reservations and the historical reservation platform with the largest number of reservations are selected.

In step 1053, the recommended warehousing information is generated based on the historical reservation time period with the largest reservation times and the historical reservation platform with the largest reservation times.

In the step 106, if the historical distribution record of the provider using the user name is not found, it is indicated that the provider using the user name transports the commodity for the first time, and therefore, in order to reduce the operation flow of the provider, the recommended warehousing information may be generated by taking the historical distribution record of the target commodity as a reference, that is, the step S102 is executed.

Under the 'community group purchase' scene, after a supplier receives an order, the supplier can convey the commodity to the reservation platform, the worker on the reservation platform carries out classification operation on the commodity, the commodity is conveyed to the storage position corresponding to the commodity type, and the warehouse stores the commodity received by the storage position. Step 105 comprises:

step 1054, inquiring the historical distribution record of the target supplier according to the commodity category; the target merchant is another supplier who has shipped goods that conform to the goods category to a warehouse;

step 1055, if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is greater than a preset similarity, generating recommended warehousing information according to the historical distribution records of other merchants;

step 1056, if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is not greater than the preset similarity, generating recommended warehousing information according to the historical distribution record of the user.

In step 1054, the historical delivery record of the target supplier who has previously delivered the product of the product type can be searched for according to the product type. Of course, in addition to the query of the historical delivery records of the target supplier, the historical delivery records corresponding to only the commodity type may be screened out from the historical delivery records.

In the step 1055, if the historical delivery record of the supplier transporting the goods to be transported and the historical delivery record of the target supplier are greater than the preset similarity, it indicates that the delivery habits of the supplier transporting the goods to be transported and the target supplier are very similar, and in order to make the goods of the same kind of goods concentrated in the same reservation time period and the same reservation platform for delivery under the condition that the reservation upper limit is not exceeded, the recommended warehousing information can be generated according to the historical delivery record of the target supplier. Under the condition that the commodity does not exceed the reservation upper limit, commodities of the same commodity type are delivered by being concentrated on the same reservation time period and the same reservation platform, the classification work of workers working on the platform is reduced, the workload of the workers is reduced, and the goods receiving amount of the workers is increased.

In the step 1056, if the historical distribution record of the supplier transporting the goods to be transported is not greater than the preset similarity with the historical distribution record of the target supplier, it indicates that there is no target supplier with a delivery habit similar to that of the supplier transporting the goods to be transported.

In order to reduce the situation of delivery congestion caused by the fact that suppliers concentrate on delivery in one time period or platform, the scheme of the application enables the reservation upper limit set by each reservation time period and each reservation platform, namely the number of reserved persons reaches the reservation upper limit, the reservation time period or the reservation platform cannot be reserved any more, so that delivery of the suppliers is relatively dispersed, and the situation of delivery congestion is reduced. And, each platform is different from the warehouse of different commodity types, each warehouse can only receive the commodity of the same commodity type, according to the distance between the platform and the warehouse, can limit the commodity type of the commodity received by the platform, and the size corresponding to different platforms is different, the larger the platform is, the larger the receiving amount in unit time is, the smaller the platform is, the smaller the receiving amount in unit time is. Therefore, when the product information includes the product type and the product information, step S102 includes:

step 1021, screening a first candidate platform from the selectable platforms according to the commodity types; the first candidate platform is a platform of which the warehouse distance corresponding to the commodity type meets a preset requirement;

step 1022, screening a first target platform from the first candidate platforms according to the quantity of the commodities; the first target platform is a platform with the goods receiving amount larger than the number of the goods in unit time;

and 1023, generating recommended warehousing information according to the bookable time period of the first target platform and the historical distribution record of the target commodity.

In step 1021, the first candidate platform is a platform whose warehouse distance corresponding to the type of the commodity meets a preset requirement, where the distance between the platform and the warehouse may be a distance reflected in navigation or the number of platforms spaced between the warehouse and the platform. The selectable platform is a platform for which the number of reservations has not reached the upper limit of the reservations.

In a specific implementation, after the reservation number of the platforms reaches the reservation upper limit, the platform cannot be reserved again, and only the remaining optional platforms which can be reserved, so that the platform with the warehouse distance corresponding to the commodity type meeting the preset requirement is selected from the optional platforms according to the commodity type. The supplier conveys the commodities to the platform which is corresponding to the commodity type and the distance between the warehouses meets the preset requirement, so that the distance between the commodities conveyed from the platform to the warehouses can be reduced by the staff of the platform, and the efficiency of storing the commodities in the warehouses is improved.

In step 1022, the acceptable quantity range is a range in which the platform can receive the quantity of the commodity, such as 1 ton to 2 tons. There will be a corresponding range of acceptable quantity of merchandise receivable at each platform, and the first target platform is a platform where the range of acceptable quantity of merchandise contains the quantity of merchandise, and the first target platform includes at least one platform.

In a specific implementation, according to the receivable commodity quantity range of each first candidate platform, a first target platform with the receivable commodity quantity range including the commodity quantity is screened out from the first candidate platforms.

In the above-described step 1023, the bookable period is a reservation period in which the number of reservations corresponding to the platform has not reached the reservation upper limit.

In specific implementation, in the first target platforms which can be reserved and the reserved time period of each first target platform, the recommended warehousing information is generated according to the historical delivery records of the target commodities.

Of course, the steps 1021 and 1222 can be exchanged, that is, step S102 includes:

step 1021', screening a second candidate platform from the selectable platforms according to the number of the commodities; the second candidate platform is a platform for which the acceptable goods quantity range contains goods quantity;

step 1022', selecting a second target platform from the second candidate platforms according to the commodity type; the second target platform is a platform for which the warehouse distance corresponding to the commodity type meets a preset requirement;

and 1023', generating recommended warehousing information according to the bookable time period of the second target platform and the historical distribution record of the target commodities.

In step 1021', in a specific implementation, after the reserved quantity of the platform reaches the upper limit of the reservation, the platform cannot be reserved again, and only the remaining optional platforms that can be reserved, so that a second candidate platform whose receivable commodity quantity range includes the commodity quantity is screened from the selectable platforms according to the receivable commodity quantity range of each selectable platform.

In the above step 1022', a platform whose warehouse distance corresponding to the commodity type satisfies the preset requirement is selected from the second candidate platforms according to the commodity type. The supplier conveys the commodities to the platform with the distance between the warehouse corresponding to the commodity type and the platform meeting the preset requirement, so that the distance between the commodities conveyed from the platform to the warehouse can be reduced by the personnel at the platform, and the efficiency of storing the commodities in the warehouse is improved.

In the step 1023', in a specific implementation, the recommended warehousing information is generated according to the historical delivery records of the target commodities in the second target platforms which can be reserved and the reserved time period of each second target platform.

In order to enable suppliers to deliver goods in a unified time slot and reduce the workload of the staff at the platform, the recommended warehousing information can be generated according to the historical reservation time slot of the same commodity type. Step 1023, including:

step 10231, inquiring a first historical booking time period with the largest warehousing quantity of target commodities of the commodity types according to the commodity types;

step 10232, if the bookable time period of the first target platform comprises a first historical warehousing time period, generating recommended warehousing information according to the first historical warehousing time period;

and step 10233, if the bookable time period of the first target platform does not comprise a first historical warehousing period, generating recommended warehousing information according to a first selection time period selected by the booking time period selection operation.

In step 10231, the first historical reservation time period with the largest number of reservations for the commodities of the commodity type is screened out from the historical delivery records of all the target commodities according to the commodity type. The first historical reservation time period with the largest number of reservations is a time period reserved when most suppliers transport commodities corresponding to the commodity category.

In the step 10232, if the bookable time period of the first target platform includes the first historical booked time period, the recommended warehousing information is generated according to the first historical booked time period, that is, the first historical booked time period can be directly determined as the booked time period in the recommended warehousing information, so that the supplier and other suppliers can deliver goods in the same booked time period, and the workload of the staff of the booked platform is reduced.

In the above-described step 10233, the reserved time period selecting operation is an operation in which the supplier selects the reserved time period on the reserved time period selection interface of the supplier terminal. For example, as shown in fig. 3, the reservation time period selection interface 31 displays three reservable time period controls 32 corresponding to time periods for reservable delivery to the reservation platform, which are respectively 20XX year Y month Q day 10 to 1100, 20XX year Y month Q day 11 to 12; here, it should be noted that, the bookable time periods for bookable delivery at the platform may not be only three, but since the bookable time periods for other bookable delivery have been booked to the upper limit of the booked amount by other suppliers, in order to reduce unnecessary display controls in the bookable time period selection interface, bookable time period controls corresponding to delivery times that cannot be selected by the suppliers are filtered out, and only the bookable time period controls corresponding to delivery times that can be selected by the suppliers are displayed in the bookable time period selection interface. The first selected time period is a time period selected by the reserved time period selecting operation.

In a specific implementation, if the bookable time period of the first target platform does not include the first historical warehousing period, the supplier may manually select the first target time period in the supplier terminal, and generate the recommended warehousing information according to the first target time period.

Since there may be a reservation time period in which the reservation number reaches the reservation upper limit among the plurality of reservation time periods corresponding to the platforms, the reservation time period selected by the supplier is selected according to personal habits, and thus, the reservable time periods corresponding to each platform may be different. Step 10232, including:

step 102321, according to the commodity type, inquiring a first historical booking platform with the largest booking times of a target commodity of the commodity type;

step 102322, if a first target platform corresponding to the first historical booking time period comprises the first historical booking platform, generating recommended warehousing information according to the first historical booking time period and the first historical booking platform;

in step 102323, if the first target platform corresponding to the first historical booking time period does not include the first historical booking platform, generating recommended warehousing information according to the first selection platform selected by the booking platform selection operation and the first historical booking time period.

In step 102321, the first historical booking platform with the largest booking frequency corresponding to the commodity of the commodity type is screened out from the historical distribution records of all target commodities according to the commodity type. The first historical booking platform with the largest booking frequency is a platform reserved when most suppliers transport commodities corresponding to the commodity types.

In the above-mentioned step 102322, if the first historical reservation platform is included in the first destination platform corresponding to the first historical reservation time period, the recommended-entry information is generated based on the first historical reservation time period and the first historical reservation platform, that is, the time period corresponding to the first historical reservation time period is determined as the reservation time period, and the platform corresponding to the first historical reservation platform is determined as the reservation platform. Therefore, the supplier and other suppliers can deliver goods in the same reservation time period and deliver the goods to the same reservation platform, so that the staff at the reservation platform can only receive the goods of the same goods type in one time period, and the workload of the staff at the reservation platform is reduced.

In the above-described step 102323, the reservation platform selection operation is an operation in which the supplier selects a reservation platform on the reservation platform selection interface of the supplier terminal. For example, as shown in fig. 4, the reservation platform selection interface 41 displays three reservable first target platform controls 42 corresponding to a platform that can make a reservation for delivery in a reservation time period corresponding to the first historical reservation time period, which are the platform 5, the platform 9, and the platform 21, respectively, and the supplier can select a platform for shipment by touching the reservable platform control 42 corresponding to each platform; here, it should be noted that, there may be only three reservable platforms of the reservation time period corresponding to the first historical time period, and since the reservable platforms of other reservable delivery platforms have been reserved by other suppliers to the upper limit of the reservation quantity, in order to reduce unnecessary display controls in the reservation platform selection interface, reservable platform controls corresponding to the delivery platform that cannot be selected by the supplier are filtered out, and only reservable platform controls corresponding to the delivery platform that can be selected by the supplier are displayed in the reservation platform selection interface. The first selection dock is the dock selected by the dock selection operation.

In a specific implementation, if the first target platform corresponding to the first historical reservation time period does not include the first historical reservation platform, the provider may manually select the first selection platform in the provider terminal, and generate the recommended-warehousing information according to the first selection platform and the first historical reservation time period, that is, determine the target platform as the reservation platform in the recommended-warehousing information, and determine the first historical reservation time period as the reservation time period in the recommended-warehousing information.

Of course, after the first selection time period is determined in the step 10233, the recommended warehousing information may also be generated by the method of the steps 102321 to 102323.

Arranging the reservation time periods of suppliers transporting goods of the same kind in the same time period and arranging the reservation platforms at the same platform can reduce the workload of the staff at the platform, but can also increase the queuing of the suppliers, therefore, the method provided by the application also comprises the following steps:

step 107, inquiring a second historical booking time period with the minimum booking frequency according to the historical delivery records of the commodities of all the commodity types;

step 108, if the reservable time period of the first target platform comprises a second historical reservation time period, generating recommended warehousing information according to the second historical reservation time period;

and step 109, if the second historical reservation time period is not included in the reservable time period of the first target platform, generating the recommended warehousing information according to the second selection time period selected by the reservation time period selection operation.

In step 107, in the historical delivery records of all the commodities, the historical reservation time period with the least reservation times, that is, the second historical reservation time period, may be counted according to the historical reservation time period in the historical delivery record of each commodity.

In step 108, if the reservable time period of the first target platform includes the second historical reservation time period, the recommended warehousing information is generated according to the second historical reservation time period, that is, the second historical reservation time period can be directly determined as the reservation time period in the recommended warehousing information, so that the supplier can deliver goods in the reservation time period with a small reservation quantity, and the probability of queuing is reduced when the supplier delivers goods.

In the step 109, in a specific implementation, if the second historical warehousing period is not included in the reservable time period of the first target platform, the supplier may manually select a second selection time period in the supplier terminal, and generate the recommended warehousing information according to the second selection time period.

Since there may be a reservation time period in which the reservation number reaches the reservation upper limit among the plurality of reservation time periods corresponding to the platforms, the reservation time period selected by the supplier is selected according to personal habits, and thus, the reservable time periods corresponding to each platform may be different. Step 108, comprising:

step 1081, querying a second historical booking platform with the least booking times according to historical delivery records of commodities of all commodity types;

step 1082, if the first target platform corresponding to the second historical booking time period includes the second historical booking platform, generating recommended warehousing information according to the second historical booking time period and the second historical booking platform;

and 1083, if the first target platform corresponding to the second historical booking time period does not include the second historical booking platform, generating the recommended warehousing information according to the second selection platform and the second historical booking time period selected by the booking platform selection operation.

In step 1081, the historical reservation platform with the smallest number of reservations, that is, the second historical reservation platform, may be counted from the historical reservation platforms in the historical delivery records of all the commodities based on the historical reservation platforms in the historical delivery records of each commodity.

In the above step 1082, if the second historical reservation platform is included in the first destination platform corresponding to the second historical reservation time period, generating the recommended warehousing information according to the second historical reservation time period and the second historical reservation platform, that is, determining a time period corresponding to the second historical reservation time period as the reservation time period, and determining a platform corresponding to the second historical reservation platform as the reservation platform. Therefore, the supplier can send the goods in the second historical booking time period with less booking amount and the second historical booking platform with less booking amount, and the probability of queuing is reduced when the supplier sends the goods.

In the above step 1083, in a specific implementation, if the first destination platform corresponding to the second historical reservation time period does not include the second historical reservation platform, the provider may manually select the second selection platform in the provider terminal, and generate the recommended warehousing information according to the second selection platform and the second historical reservation time period.

Of course, after the second selection time period is determined in the above step 10233, the recommended storage information may be generated by the method of the above steps 102321 to 102323.

Since the provider's daily habits are not exactly the same, the provider's own habits may change due to personal chores, or weather reasons. Therefore, the supplier can directly select the reservation time period and the reservation platform according to the actual situation of the supplier. The present application therefore also includes:

step 110, selecting a third selection time period in the reservable time period according to the reservation time period selection operation;

step 111, selecting a third selection platform from selectable platforms corresponding to a third selection time period according to the appointment platform selection operation;

and 112, generating recommended warehousing information according to the third selection time period and the third selection platform.

In the step 110, the reservable time period that can be currently reserved is displayed on the reservation time period selection interface of the supplier terminal, so that the supplier can select a third selection time period in the reservable time period according to the actual situation.

In the step 111, the third selected time period has a corresponding reservable platform, and the reservable platform is displayed on the reservable platform selection interface, so that the supplier can select a third selected platform from the reservable platforms according to the actual situation of the supplier.

In the step 112, after the third selection time period and the third selection platform are selected by the supplier, the recommended warehousing information can be directly generated according to the third selection time period and the third selection platform, that is, the third selection time period is directly determined as the reservation time period, and the third selection platform is determined as the reservation platform. The recommended warehousing information is determined according to the actual conditions of the suppliers, so that the suppliers can transport the commodities to the proper platforms in proper time periods, and the delivery efficiency of the suppliers is improved.

In the application, commodities transported by suppliers are determined based on order information corresponding to ordering and purchasing commodities in a shopping platform in consumption, one supplier may only transport commodities of one commodity type, but the order information of a consumer may include commodities of multiple commodity types, therefore, after the commodities are stored in a warehouse, a worker in the warehouse can select a corresponding commodity in each order information in the warehouse after a series of operations such as quality inspection, counting, warehousing and sorting, the worker in the warehouse can transport the commodity corresponding to each order to a bouquet of a corresponding community, and a server can send the order information corresponding to the community to a delivery terminal corresponding to the bouquet. After the group leader receives the commodity corresponding to the order information of the community, the group leader informs the consumers to pick up the commodity according to the consumer information carried in the order information. The group leader may also deliver the goods for the customer according to the order information, and in the flow of delivering the goods by the group leader, the delivery terminal may deliver the goods for the customer according to the customer delivery address carried in the order information of the community. Specifically, a delivery route can be generated according to a customer receiving address carried in the order information of the community, and delivery navigation is a route with the shortest delivery distance generated according to the customer receiving address, so that a captain delivers goods for the customer corresponding to the order information according to the delivery route. Of course, the delivery route may be generated by the server according to the customer delivery address carried in the order information of the community, and the server sends the delivery route and the order information of the community to the delivery terminal of the group leader.

Based on the same inventive concept, the embodiment of the present application further provides a device for generating a warehousing request corresponding to the method for generating a warehousing request, and since the principle of solving the problem of the device in the embodiment of the present application is similar to that of the method for generating a warehousing request in the embodiment of the present application, the implementation of the device may refer to the implementation of the method, and repeated details are not described again.

Referring to fig. 5, a schematic diagram of an apparatus for generating a warehousing request according to a fifth embodiment of the present application is shown, where the apparatus includes:

a first searching module 501, configured to search, in response to that a commodity information input operation executed by a provider terminal meets a preset condition, a historical distribution record of a target commodity whose similarity with the commodity information exceeds a preset threshold according to commodity information corresponding to the commodity information input operation;

a generating module 502, configured to generate recommended warehousing information according to the historical distribution record of the target commodity;

an output module 503, configured to output the recommended warehousing information on the provider terminal, so that the provider terminal generates a warehousing request for a to-be-transported commodity according to the recommended warehousing information; the goods to be transported are goods which are sold by a shopping platform and are transported to a warehouse by a supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are used for being distributed to a pre-buyer within a preset distance from the warehouse; the pre-buyer is an organization group which distributes commodities for the consumers in a centralized way after the commodities are sold by the shopping platform in a group buying way.

the user name of the supplier transporting the goods to be transported, the commodity name of the goods to be transported, the commodity type of the goods to be transported and the commodity quantity of the goods to be transported.

Optionally, the response module includes:

the input unit is used for searching the commodity information of the commodity to be transported related to the user name according to the user name carried by the commodity information input operation;

Optionally, the apparatus further comprises:

Optionally, the second generating module includes:

Optionally, the first generating module includes:

the first screening unit is used for screening a first candidate platform from the selectable platforms according to the commodity types; the first candidate platform is a platform of which the warehouse distance corresponding to the commodity type meets a preset requirement;

the second screening unit is used for screening a first target platform from the first candidate platforms according to the commodity quantity; the first target platform is a platform where the acceptable goods quantity range contains goods quantity;

Optionally, the third generating unit includes:

Optionally, the first generating subunit includes:

Optionally, the apparatus further includes:

the third searching module is used for searching a second historical booking time period with the minimum booking frequency according to the historical distribution records of the commodities of all commodity types;

the fourth generation module is used for generating recommended warehousing information according to a second historical reservation time period if the reservation-available time period of the first target platform comprises the second historical reservation time period;

and the fifth generation module is used for generating the recommended warehousing information according to a second selection time period selected by the reservation time period selection operation if the second historical reservation time period is not included in the reservation time period of the first target platform.

Optionally, the fourth generating module includes:

the second inquiry unit is used for inquiring a second historical booking platform with the minimum booking frequency according to the historical delivery records of the commodities of all the commodity types;

a sixth generating module, configured to generate recommended warehousing information according to the second historical booking time period and the second historical booking platform if the first target platform corresponding to the second historical booking time period includes the second historical booking platform;

Optionally, the apparatus further includes:

the first selection module is used for selecting a third selection time period from the selectable reservation time periods according to the reservation time period selection operation;

the second selection module is used for selecting a third selection platform from selectable platforms corresponding to a third selection time period according to the appointment platform selection operation;

Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 6, the electronic device 1100 includes a processor 1110, a memory 1120, and a bus 1130.

The memory 1120 stores machine-readable instructions executable by the processor 1110, when the electronic device 1100 runs, the processor 1110 communicates with the memory 1120 through the bus 1130, and when the machine-readable instructions are executed by the processor 1110, the steps of the method in the method embodiment shown in fig. 1 may be executed.

An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method steps in the method embodiment shown in fig. 1 may be executed.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in software functional units and sold or used as a stand-alone product, may be stored in a non-transitory computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

The embodiment of the application discloses a TS1 and a method for generating a warehousing request, which is characterized by comprising the following steps:

outputting the recommended warehousing information on the supplier terminal so that the supplier terminal generates a warehousing request of the goods to be transported according to the recommended warehousing information; the goods to be transported are goods which are sold by a shopping platform and are transported to a warehouse by a supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are used for being distributed to a pre-buyer within a preset distance from the warehouse; the pre-purchasing party is an organization group which distributes commodities to consumers in a centralized way after the commodities are sold by the shopping platform in a group purchasing mode.

The method of claim TS1, wherein the commodity information comprises any one or more of:

The method of claim TS2, wherein determining the product information corresponding to the product information input operation comprises:

and determining the commodity information as commodity information corresponding to the commodity information input operation.

TS4, the method of claim TS3, wherein the method further comprises:

The method of claim TS5, wherein the commodity information includes a commodity category; generating recommended warehousing information according to the historical distribution records of the suppliers, wherein the recommended warehousing information comprises:

inquiring historical delivery records of the target suppliers according to the commodity types; the target merchant is another supplier who has shipped goods that conform to the goods category to a warehouse;

if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is greater than the preset similarity, generating recommended warehousing information according to the historical distribution record of the target supplier;

and if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is not greater than the preset similarity, generating recommended warehousing information according to the historical distribution record of the supplier.

TS6, the method according to claim TS2, wherein the commodity information includes: the type and number of goods; generating recommended warehousing information according to the historical distribution record of the target commodity, wherein the recommended warehousing information comprises the following steps:

screening out a first target platform from the first candidate platforms according to the commodity quantity; the first target platform is a platform where the acceptable goods quantity range contains goods quantity;

The TS7 and the method of claim TS6, wherein generating the recommended warehousing information according to the reservable time period of the first target platform and the historical delivery record of the target commodity comprises:

and if the available reservation time period of the first target platform does not comprise a first historical reservation time period, generating recommended warehousing information according to a first selection time period selected by reservation time period selection operation.

The method of claim TS8 and claim TS7, wherein generating recommended-entry information according to the first historical reservation time period includes:

and if the first target platform corresponding to the first historical booking time period does not comprise the first historical booking platform, generating recommended warehousing information according to the first selection platform and the first historical booking time period selected by the booking platform selection operation.

TS9, the method of claim TS6, wherein the method further comprises:

inquiring a second historical appointment time period with the minimum appointment times according to historical delivery records of commodities of all commodity types;

and if the reserved time period of the first target platform does not comprise a second historical reserved time period, generating recommended warehousing information according to a second selected time period selected by reserved time period selection operation.

The TS10 and the method of claim TS9, wherein generating recommended-entry information according to the second historical reservation time period includes:

TS11, the method according to claim TS1, wherein the method further comprises:

The TS12 is an apparatus for generating a warehousing request, and includes:

the output module is used for outputting the recommended warehousing information on the supplier terminal so that the supplier terminal generates a warehousing request of the goods to be transported according to the recommended warehousing information; the goods to be transported are goods which are sold by a shopping platform and are transported to a warehouse by a supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are used for being delivered to a pre-buyer within a preset distance from the warehouse; the pre-buyer is an organization group which distributes commodities for the consumers in a centralized way after the commodities are sold by the shopping platform in a group buying way.

The TS13 apparatus according to claim TS12, wherein the commodity information includes any one or more of the following information:

The TS14 apparatus of claim TS13, wherein the response module comprises:

TS15, the apparatus of claim TS14, wherein the apparatus further comprises:

The apparatus of claim TS15, wherein the second generating module comprises:

the first query unit is used for querying the historical delivery records of the target suppliers according to the commodity types; the target merchant is another supplier that has shipped goods conforming to the category of goods to a warehouse;

the first generating unit is used for generating recommended warehousing information according to the historical distribution record of the target supplier if the similarity between the historical distribution record of the supplier and the historical distribution record of the target supplier is greater than a preset similarity;

The apparatus of claim TS13, wherein the first generating module comprises:

and a third generating unit, configured to generate recommended warehousing information according to the available reservation time period of the first target platform and the historical distribution record of the target commodity.

TS18, the apparatus according to claim TS17, wherein the third generating unit comprises:

TS19, the apparatus of claim TS18, wherein the first generating subunit comprises:

The apparatus of claim TS17, wherein the apparatus further comprises:

The TS21 apparatus of claim TS20, wherein the fourth generating means comprises:

The TS22, the apparatus of claim TS12, wherein the apparatus further comprises:

Claims

1. A method for generating a warehousing request, comprising:

responding that a commodity information input operation executed by a supplier terminal meets a preset condition, and searching a historical distribution record of a target commodity with the similarity of the commodity information exceeding a preset threshold value according to the commodity information corresponding to the commodity information input operation;

outputting the recommended warehousing information on the supplier terminal so that the supplier terminal generates a warehousing request of the goods to be transported according to the recommended warehousing information; the goods to be transported are goods which are sold by a shopping platform and are transported to a warehouse by a supplier using the supplier terminal for storage, and the goods to be transported are stored in the warehouse and then are used for being delivered to a pre-buyer within a preset distance from the warehouse; the pre-purchasing party is an organization group which distributes commodities to consumers in a centralized way after the commodities are sold by the shopping platform in a group purchasing mode.

2. The method of claim 1, wherein the merchandise information comprises: the type of goods and the number of goods; generating recommended warehousing information according to the historical distribution record of the target commodity, wherein the recommended warehousing information comprises:

screening a first candidate platform from the selectable platforms according to the commodity types; the first candidate platform is a platform for which the warehouse distance corresponding to the commodity type meets a preset requirement;

3. The method of claim 2, wherein generating recommended warehousing information based on the bookable time period of the first target platform and the historical delivery record of the target commodity comprises:

4. The method of claim 3, wherein generating recommended-binning information according to the first historical reservation time period comprises:

if a first target platform corresponding to the first historical booking time period comprises the first historical booking platform, generating recommended warehousing information according to the first historical booking time period and the first historical booking platform;

5. The method of claim 2, further comprising:

6. The method of claim 5, wherein generating recommended-entry information according to the second historical reservation time period comprises:

if the first target platform corresponding to the second historical booking time period comprises the second historical booking platform, generating recommended warehousing information according to the second historical booking time period and the second historical booking platform;

7. An apparatus for generating a warehousing request, comprising:

8. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, is adapted to carry out the steps of the method according to any one of claims 1 to 6.

10. A computer program product comprising a computer program or instructions for implementing the steps of the method of any one of claims 1 to 6 when executed by a processor.