CN113298451A

CN113298451A - Distribution method, distribution device, distribution equipment and storage medium

Info

Publication number: CN113298451A
Application number: CN202010365640.8A
Authority: CN
Inventors: 张晓光
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2020-04-30
Filing date: 2020-04-30
Publication date: 2021-08-24

Abstract

The embodiment of the invention provides a distribution method, a distribution device, distribution equipment and a storage medium, wherein the method comprises the following steps: determining a plurality of orders corresponding to preset services in a warehouse; determining orders needing centralized distribution in the multiple orders according to commodities and service types of the commodities in the multiple orders; a delivery task corresponding to an order requiring collective delivery is generated so that delivery of the commodity is performed based on the delivery task. By the scheme, the delivery times triggered to the user can be reduced, and the delivery efficiency of the order corresponding to the preset service is improved.

Description

Distribution method, distribution device, distribution equipment and storage medium

Technical Field

The present invention relates to the field of internet technologies, and in particular, to a distribution method, device, apparatus, and storage medium.

Background

In actual life, a consumer may purchase multiple commodities at the same store at the same time during shopping, some of the commodities are spot commodities, the consumer can directly take away the commodities after purchasing, and the other commodities need to be produced by a corresponding provider due to insufficient inventory and then distributed to the consumer, and the commodities can be called futures commodities. Such situations are relatively common in furnishing scenes such as homes, offices, and the like.

In many cases, a consumer may purchase multiple futures items at the same time, and the multiple futures items may not be provided by the same provider, and due to the inconsistent production cycle of the multiple providers, different suppliers may be required to deliver the futures items purchased by the consumer to the consumer after the futures items are produced. Thus, consumers need to receive goods in coordination multiple times, and the perceived quality of service and efficiency are poor for the consumers. For the distribution side, the distribution cost is high, and the distribution efficiency is low.

Disclosure of Invention

The embodiment of the invention provides a distribution method, a distribution device, distribution equipment and a storage medium, which can improve distribution efficiency and save distribution cost.

In a first aspect, an embodiment of the present invention provides a distribution method, where the method includes:

determining a plurality of orders corresponding to preset services in a warehouse;

determining orders which need to be distributed in a centralized manner in the orders according to the commodities in the orders and the service types of the commodities;

and generating a delivery task corresponding to the order needing centralized delivery so as to deliver the commodity based on the delivery task.

In a second aspect, an embodiment of the present invention provides a dispensing device, including:

the system comprises a determining module, a storage module and a processing module, wherein the determining module is used for determining a plurality of orders corresponding to preset services in a warehouse;

the order collecting module is used for determining orders needing centralized distribution in the orders according to the commodities in the orders and the service types of the commodities;

and the generating module is used for generating a distribution task corresponding to the order needing centralized distribution so as to distribute the commodities based on the distribution task.

In a third aspect, an embodiment of the present invention provides an electronic device, including: a memory, a processor, a communication interface; wherein the memory has stored thereon executable code which, when executed by the processor, causes the processor to implement at least the distribution method as described in the first aspect.

In a fourth aspect, embodiments of the present invention provide a non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to implement at least the distribution method according to the first aspect.

Suppose a user purchases a plurality of goods that are required to be produced at present due to insufficient stock during a certain transaction and correspond to a certain preset service, such as a decoration service or a home decoration service. Based on the transaction behavior of the user, a plurality of orders corresponding to the preset service can be generated, and each order contains related information of part of commodities purchased by the user. Further, it is assumed that a certain warehouse has already been allocated for temporarily storing the commodities in the plurality of orders corresponding to the preset service. In the process of distributing the plurality of orders, the orders which need to be distributed in a centralized manner are determined according to the commodities in the plurality of orders and the service types of the commodities, and a distribution task corresponding to the orders which need to be distributed in a centralized manner is generated, so that a distributor can distribute the corresponding commodities in a centralized manner based on the distribution task. That is, the orders are not delivered independently, but the orders whose service type and other factors meet the set requirements are delivered together according to the service type and other factors of the goods in the orders, so that the overall delivery times corresponding to the orders can be reduced, and the delivery efficiency can be improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.

Fig. 1 is a schematic diagram illustrating a distribution system according to an embodiment of the present invention;

fig. 2 is a flowchart of a distribution method according to an embodiment of the present invention;

FIG. 3 is a flow chart of another distribution method according to an embodiment of the present invention;

FIG. 4 is a flow chart of another distribution method according to an embodiment of the present invention;

FIG. 5 is a flow chart of another distribution method according to an embodiment of the present invention;

FIG. 6 is a flow chart of another delivery method according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a dispensing device according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of an electronic device corresponding to the dispensing device provided in the embodiment shown in fig. 7.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

In addition, the sequence of steps in each method embodiment described below is only an example and is not strictly limited.

Before describing the execution process of the distribution method provided by the embodiment of the present invention in detail, a distribution system capable of using the distribution method and an overall flow of commodity distribution based on the distribution system are described.

Fig. 1 is a schematic composition diagram of a distribution system according to an embodiment of the present invention, as shown in fig. 1, from a role perspective, the distribution system may relate to the following three roles: a commodity provider, a transaction manager and a warehouse manager. From the perspective of equipment composition, the three roles may provide one or more corresponding electronic devices to cooperate with each other to complete the transaction and distribution process of the goods. A user in this context refers to a consumer who purchases an item.

In practical applications, the goods provider may be a manufacturer, an agent, etc. of the goods. The article provider side may be disposed with an apparatus for performing article management, which is referred to as an article management apparatus. In practical applications, there may be a large number of product providers, and in fig. 1, only two product providers, namely, a product provider a and a product provider B, are illustrated, and it is assumed that product management devices corresponding to the product provider a and the product provider B are respectively represented as a product management device 101a and a product management device 101B.

The transaction manager may manage the user transaction process. The transaction managing party may be deployed with a device for managing user transactions, referred to as a transaction managing device. In practice, a transaction manager may deploy a device cluster consisting of a plurality of transaction management devices for user transaction management, such as the plurality of transaction management devices 102 illustrated in fig. 1.

The warehouse manager may deploy a plurality of warehouses, which may store commodities. The warehouse manager may perform the deployment of the warehouse according to a certain policy, and optionally, may deploy one warehouse per city, and at this time, the warehouse may be referred to as a city warehouse. In fig. 1, it is illustrated that the warehouse manager sets a warehouse X in one city and a warehouse Y in another city. Further, in each warehouse, a warehouse management device may be disposed, for example, a warehouse management device 103a is disposed in the warehouse X, and a warehouse management device 103b is disposed in the warehouse Y.

In this context, the main functions of the warehouse are: as a place of collection. In practical application, a plurality of orders are generated based on transaction behaviors of a user for a plurality of commodities, and when all or part of the orders meet some set conditions, the orders meeting the set conditions can be determined to be required to be intensively distributed to the user, which is the meaning of the order collection. And the warehouse as the collection place means: the commodities involved in the orders are often not available in almost the same time due to insufficient inventory, inconsistent production cycle and other problems, so that the commodities produced first need to be temporarily stored in a warehouse.

In the following, an actual application scenario to which the distribution network method provided by the embodiment of the present invention is applicable and an overall workflow of the distribution system in the application scenario are described.

In a decoration scene such as home decoration, office decoration, etc., a user may purchase several goods required for use in the decoration process, such as a sofa, a bed, a television, a microwave oven, a wall painting, an air conditioner, a wardrobe, etc. In practical application, a user can go off a store online or go on a store online to trade a plurality of commodities, and a plurality of orders can be generated based on the trading behavior of the user. Optionally, the orders may be divided according to the product providers corresponding to the products purchased by the user, for example, the products corresponding to the same product provider are divided into one order. Alternatively, each item purchased by the user may be determined as an order.

In a decoration scene, many of the commodities need to be produced instead of being in stock, and the production periods of the commodities need to be produced in stock may be different. Thus, if each order is delivered independently, it will result in more delivery tasks, i.e. more deliveries need to be made, which is not good for delivery cost, delivery efficiency and user experience.

Based on this, in view of the above-described particularity of the decoration scene, the distribution method in the embodiment of the present invention is provided. The core purpose of the distribution method is as follows: the order collection strategy is adopted for distributing a plurality of orders of a user corresponding to a decoration scene, so that the number of distribution tasks is reduced, namely the overall distribution times is reduced, the distribution cost is reduced, the distribution efficiency is improved, and the user experience is improved.

A plurality of devices illustrated in fig. 1 need to complete the distribution scheme provided by the embodiment of the present invention through a certain information interaction process. The overall execution flow of the distribution scheme is illustrated below with reference to fig. 1.

It is assumed that the transaction management device 102 acquires transaction information of a user through a corresponding transaction terminal device based on one transaction behavior of the user or multiple transaction behaviors within a time range, and generates a plurality of orders based on the transaction information. Each order may contain information about the item, such as the item provider, price, quantity, model, etc. Each order may also be associated with user information, such as address information, contact information, etc. of the user.

In addition, to execute the distribution method provided by the embodiment of the present invention, optionally, the transaction management device 102 may further associate a service identifier for each of the multiple orders, where the service identifier is used to identify whether the corresponding order corresponds to a certain preset service. In the embodiment of the present invention, the preset service may be a decoration service, or referred to as a home decoration service. In addition, a service type identifier may be associated with the goods included in each order, and the service type identifier is used to identify: whether a certain type of service, such as an installation service, needs to be provided to the user for the goods. In practical applications, goods such as wardrobes, beds, air conditioners and the like generally need to provide installation services for users.

Alternatively, the transaction management device 102 may determine whether the order needs to be associated with the two identifiers (service identifier of the order, service type identifier of the goods) by identifying whether the goods in the order belong to the goods to be installed in the decoration field. Optionally, the related information of the commodity may include related description information of a field to which the commodity is applicable, and the transaction management device 102 may determine whether to associate the two identifiers for the order. Or, optionally, a commodity library corresponding to the decoration field may be preset in the transaction management device 102, and a commodity library in which what kinds of commodities are applicable to the decoration field is recorded, so that, if a commodity in a certain order belongs to the commodity library, the transaction management device 102 determines that the above two identifications need to be associated for the order. Similarly, a sub-database containing the goods required to provide the installation service may be further partitioned from the goods library, so as to determine the service type identifier of the goods.

It should be noted that the two kinds of identifiers are introduced for the purpose of mainly emphasizing that the transaction management device 102 performs the process of identifying whether the order corresponds to the preset service and whether the service type of the goods in the order corresponds to the preset target service type.

Thereafter, the transaction management device 102 may send a notification message to the product provider corresponding to each of the products in the orders, that is, to the product management device corresponding to each product provider, so as to notify the corresponding product provider to produce the corresponding product. For example, if the transaction management device 102 determines that the orders include orders corresponding to the product provider a, the product provider B, and the product provider C in the foregoing example, the transaction management device 102 sends corresponding notification messages to the product management devices corresponding to the three product providers, where the notification messages may carry the orders corresponding to the corresponding product providers.

In addition, the transaction management device 102 may also allocate the warehouse for the orders, so that each product provider sends the produced product to the allocated target warehouse for storage. Thus, the notification message sent to the goods provider may also include an identification of the target warehouse, such as warehouse address information.

Further, the transaction management device 102 may also perform an order aggregation process of the plurality of orders to determine which orders of the plurality of orders need to be centrally delivered, and generate a delivery task corresponding to the orders that need to be centrally delivered. Assume that the target warehouse is warehouse X, and thus, the transaction management device 102 may issue the delivery task to the warehouse management device 103a corresponding to warehouse X. The delivery task includes orders and user information that need to be delivered in a centralized manner.

When the commodity provider sends the produced commodity to the warehouse X, the commodity is associated with a corresponding order, and the warehouse management device 103a can determine whether the order needs to be delivered together with other orders by identifying (e.g., scanning) the order and combining the received notification message, and if so, the order is delivered to the user together after all the commodities in other orders that need to be delivered together are sent to the warehouse X.

In practical applications, the warehouse management device 103a may also synchronize the logistics state information to the transaction management device 102 during the process of executing the distribution task.

It should be noted that the above-described delivery process is only an alternative delivery process based on the delivery system shown in fig. 1. In fact, the order aggregation processing for a plurality of orders may also be performed by the warehouse management facility within the target warehouse. The distribution flow at this time is briefly described as follows: after the transaction management device 102 generates the above-described plurality of orders, it may perform allocation processing of a target warehouse, assuming that the target warehouse is warehouse X. Then, on the one hand, the transaction management device 102 may send a notification message to the product providers corresponding to the plurality of orders to notify them of the production of the corresponding products and send the produced products to the target warehouse; on the other hand, the transaction management device 102 may issue a plurality of orders to the warehouse management device 103a corresponding to the warehouse X. The warehouse management device 103a may perform association processing of the service identification of the order and the service type identification of the goods and aggregation processing of a plurality of orders. Of course, alternatively, the transaction management device 102 may perform association processing of the service identifier of the order and the service type identifier of the product, send a plurality of orders associated with these identifiers to the warehouse management device 103a, and perform subsequent order collection processing by the warehouse management device 103 a.

In summary, based on the collection processing of the multiple orders, the overall delivery times of the multiple orders can be reduced, so as to improve the delivery efficiency and reduce the delivery cost.

The overall workflow of the distribution system is macroscopically introduced from the perspective of the linkage of the distribution system with multiple parties (a commodity provider, a transaction manager and a warehouse manager). The following describes a detailed implementation of the distribution method in conjunction with some embodiments. The execution main body of the distribution method may be the transaction management device illustrated in fig. 1, or may be a warehouse management device corresponding to the target warehouse. In the following, only the execution subject is taken as the transaction management device for illustration, and the execution process of the warehouse management device as the execution subject is similar to that of the transaction management device, which can be derived by combining the context, and will not be repeated.

Fig. 2 is a flowchart of a distribution method according to an embodiment of the present invention, and as shown in fig. 2, the distribution method may include the following steps:

201. a plurality of orders in the warehouse corresponding to the preset service are determined.

The plurality of orders herein refers to a plurality of orders corresponding to preset services, and the plurality of orders correspond to the same warehouse. As previously described, the preset service may be a finishing service.

As previously described, based on the user's trading behavior, an order corresponding to the trade may be generated. It is understood that, in practical applications, some of the orders generated due to the transaction behavior of the user may correspond to the preset service, and some of the orders may correspond to other services.

As described above, in the process of generating an order, the transaction management device may associate a service identifier with the order according to the type of goods in the order, so that all orders in the transaction management device may be classified into two categories according to the service identifier: one is an order corresponding to a preset service, and one is an order not corresponding to a preset service. The transaction management device may determine the plurality of orders corresponding to the preset service corresponding to the same user according to the service identifier.

In practical applications, the orders correspond to the same user, and the orders may correspond to one transaction behavior of the user or multiple transaction behaviors of the user within a certain time period. For example, if a user makes a transaction in the morning of a certain day, N orders corresponding to the preset services are generated based on the transaction, the user makes a transaction in the afternoon of the same day, and M orders corresponding to the preset services are generated based on the transaction, the orders may include the N orders and the M orders. N and M are integers greater than or equal to 1.

In addition, the transaction management device may also allocate a warehouse for the order after it is generated. In fact, the allocation of the warehouse may be required, whether the order corresponds to a preset service or not. Assuming that all orders generated by one transaction of the user include both orders corresponding to the preset service and orders not corresponding to the preset service, the warehouse allocated by the transaction management device for these orders may be the same, and is called a target warehouse (i.e. the warehouse in 201). Then, when the order aggregation processing needs to be performed on a plurality of orders corresponding to the preset service, the transaction management device may determine a plurality of orders corresponding to the preset service in the target warehouse according to the obtained correspondence between the warehouse, the orders, and the service identifier of the order.

In practice, one or more warehouses may be set up in some cities, thus forming a set of all warehouses that are preset. In the process of determining the target warehouse corresponding to the plurality of orders, specifically, the target warehouse may be determined according to the evaluation indexes corresponding to all the warehouses. Optionally, the evaluation index includes at least one of: the distance from the user address, the delivery quality evaluation information, and the delivery task amount information.

Assuming that all warehouses consist of warehouse X and warehouse Y, if warehouse X is a smaller distance from the user address than warehouse Y is from the user address, then warehouse X may be determined as the target warehouse.

The delivery quality evaluation information can be determined by collecting service feedback information of the user. Taking the warehouse X as an example, for a delivery task triggered from the warehouse X, after the final delivery is completed to the user each time, the user may be prompted to score one or more dimensions of service quality for the delivery. The average value of all the scoring results collected in a period of time can be used as the corresponding delivery quality evaluation information of the warehouse X. Thus, a warehouse with a high score may be preferentially selected as the target warehouse.

And the distribution task amount information is used for measuring the busyness degree of the warehouse, and the distribution task amount can be represented by counting the quantity of commodities or orders stored in each warehouse within a period of time. The warehouse with a small delivery task amount may be preferentially selected as the target warehouse.

202. And determining the order needing to be delivered in a centralized manner in the orders according to the commodities in the orders and the service types of the commodities.

203. A delivery task corresponding to an order requiring collective delivery is generated so that delivery of the commodity is performed based on the delivery task.

After determining a plurality of orders corresponding to the preset service in the target warehouse, the orders may be collected. Specifically, the order that needs to be collectively delivered in the plurality of orders may be determined according to the commodities in the plurality of orders and the service types of the commodities, so as to generate a delivery task corresponding to the order that needs to be collectively delivered, so as to perform the collective delivery of the commodities in the order that needs to be collectively delivered based on the delivery task, that is, to deliver the commodities to the user together.

Optionally, determining an order that needs to be delivered in a centralized manner in the multiple orders according to the goods in the multiple orders and the service types of the goods may be implemented as:

according to the service types of the commodities in the orders, a plurality of target orders with the same service type are determined in the orders, and the orders needing to be delivered in a centralized mode are determined in the target orders.

Wherein the number of the plurality of target orders is less than or equal to the number of the plurality of orders.

As described above, in the process of generating the order, the transaction management device may associate a service type identifier with the commodity according to the type of the commodity in the order, and thus, according to the service type identifier, the service type of each commodity can be known. The service type may include installing the service corresponding to the application scenario of fitment.

In fact, among a plurality of orders corresponding to preset services (e.g., decoration services), there may be some orders in which the goods are goods that do not need to provide the installation service for the user, such as microwave ovens, refrigerators, etc., and some orders in which the goods are goods that need to provide the installation service for the user, such as air conditioners, televisions, beds, cabinets, etc. Accordingly, the plurality of orders may be divided into two groups, the first group consisting of orders for which the service type of the corresponding goods is the installation service, and the second group consisting of orders for which the service type of the corresponding goods is the non-installation service. It is contemplated that orders included in the first group require a consolidated delivery and orders included in the second group require a consolidated delivery.

Since the embodiment of the present invention focuses more on the order that needs to provide the installation service, for convenience of description, in the following several embodiments, only the order that needs to provide the installation service is taken as an example for description, and then, determining a plurality of target orders with the same service type may be described as determining a plurality of target orders with a target service type, where the target service type refers to the installation service. In short, the orders to be installed for the goods are screened out from the orders as a plurality of target orders. The installation requirement means that service personnel is required to go to the door to provide installation service for users.

After the plurality of target orders are determined, the order that needs to be delivered collectively can be determined among the plurality of target orders. Optionally, the orders that need to be delivered collectively may be determined as the multiple target orders, and at this time, delivery tasks corresponding to the multiple target orders may be generated, so that after all the goods in the multiple target orders are sent to the target warehouse, the delivery tasks are executed to deliver the goods in the multiple target orders to the user together.

The order to be delivered in the centralized manner is determined among the target orders, and other implementations are possible, which are described in the following with reference to several embodiments.

Fig. 3 is a flowchart of another distribution method according to an embodiment of the present invention, and as shown in fig. 3, the distribution method may include the following steps:

301. a plurality of orders in the warehouse corresponding to the preset service are determined.

302. A plurality of target orders having a target service type are determined among the plurality of orders based on the service types of the goods in the plurality of orders.

303. And according to the installation process of the commodities in the plurality of target orders, determining the orders with the same installation process in the plurality of target orders as the orders needing centralized distribution.

304. A delivery task corresponding to an order requiring collective delivery is generated so that delivery of the commodity is performed based on the delivery task.

In this embodiment, the installation process may refer to an installation position corresponding to an installation service. Several types of installation locations, such as kitchens, toilets, living rooms, bedrooms, etc., can be preset. Of course, in practice, bedrooms and living rooms may also be defined as a class of locations.

For example, assume that there are four target orders, each of which includes the following items: cabinets, stoves, toilets, hand basins. Since the cabinet and the oven correspond to the same installation location, the kitchen, and the toilet and the wash stand correspond to the same installation location, the toilet, the order corresponding to the cabinet and the oven can be determined as an order requiring centralized distribution, and the order corresponding to the toilet and the wash stand can be determined as an order requiring centralized distribution. Thus, two distribution tasks are generated, one corresponding to two orders of the cabinet and the oven, and the other corresponding to two orders of the toilet and the wash basin.

Based on the scheme provided by the embodiment, orders corresponding to the same type of installation positions can be distributed in a centralized manner, so that the distribution efficiency is improved, and the user experience is also improved.

Fig. 4 is a flowchart of another distribution method according to an embodiment of the present invention, and as shown in fig. 4, the distribution method may include the following steps:

401. a plurality of orders in the warehouse corresponding to the preset service are determined.

402. A plurality of target orders having a target service type are determined among the plurality of orders based on the service types of the goods in the plurality of orders.

403. And determining orders with the same attribute type from the target orders as orders needing centralized delivery according to the attribute types of the commodities in the target orders.

404. A delivery task corresponding to an order requiring collective delivery is generated so that delivery of the commodity is performed based on the delivery task.

In this embodiment, the attribute type of the product means that the product can be classified according to a certain attribute of the product, and for example, the product can be classified into two types, namely furniture and home appliances.

For example, assume that there are four target orders, each of which includes the following items: cupboard, stove, air conditioner, TV set. Since the cabinet and the oven correspond to a furniture type and the air conditioner and the television correspond to a home appliance type, an order corresponding to the cabinet and the oven may be determined as an order requiring centralized distribution and an order corresponding to the air conditioner and the television may be determined as an order requiring centralized distribution.

Fig. 5 is a flowchart of another distribution method according to an embodiment of the present invention, and as shown in fig. 5, the distribution method may include the following steps:

501. a plurality of orders in the warehouse corresponding to the preset service are determined.

502. A plurality of target orders having a target service type are determined among the plurality of orders based on the service types of the goods in the plurality of orders.

503. And acquiring installation progress information, and determining the order needing centralized distribution in the target orders according to the installation progress information.

504. A delivery task corresponding to an order requiring collective delivery is generated so that delivery of the commodity is performed based on the delivery task.

In the embodiment, the influence of the decoration progress condition of the user on the bill collecting process is also considered. In short, assuming that the user currently intends to decorate the kitchen, the order corresponding to the kitchen among the target orders can be used as the order to be delivered collectively.

In practice, the installation progress information of the user may be determined by interaction with the user by the relevant staff member and input into the transaction management device to be associated with the plurality of orders. Query information (such as telephone, short message, instant communication and the like) can also be automatically triggered to the user by the transaction management device to acquire the installation progress information.

Based on the scheme provided by the embodiment, the result of order centralized distribution can be matched with the installation progress of the user, and the distribution efficiency is improved, and meanwhile, the user experience can also be improved.

Fig. 6 is a flowchart of another distribution method according to an embodiment of the present invention, and as shown in fig. 6, the distribution method may include the following steps:

601. a plurality of orders in the warehouse corresponding to the preset service are determined.

602. And acquiring the storage time of the commodities in the plurality of orders, wherein the storage time refers to the time of storing the commodities in the warehouse.

603. A plurality of target orders having a target service type are determined among the plurality of orders based on the service types of the goods in the plurality of orders.

604. And determining the order needing to be delivered in a centralized manner in the target orders according to the deposit time of the goods in the target orders.

605. A delivery task corresponding to an order requiring collective delivery is generated so that delivery of the commodity is performed based on the delivery task.

In this embodiment, the order that needs to be delivered collectively among the plurality of orders may be determined according to two factors, that is, the service type of the product and the deposit time.

The reason why the stocking time is considered is that in a decoration scene, the production periods of the commodities in the orders may be greatly different, for example, some commodities may be produced in half a month, while some commodities may require two months of production time, and in a case that the production periods of the commodities contained in the two orders are obviously different, if the two orders are taken as the orders to be delivered in a centralized manner, the time for the user to obtain the commodities is greatly prolonged. Based on the above, in the process of performing the order collection processing, the influence of the time for storing the commodity into the target warehouse can be considered.

Specifically, after a plurality of target orders with a target service type (i.e., installation service) are determined from the plurality of orders, the orders that need to be delivered collectively may be determined from the plurality of target orders according to the stocking time of the goods in the plurality of target orders.

Several alternative implementations of determining orders to be delivered centrally among a plurality of target orders based on the time of deposit of the items in the plurality of target orders are provided below.

In an alternative embodiment, determining the order to be delivered collectively in the target orders according to the stocking time of the goods in the target orders may be implemented as:

determining a first order of a plurality of target orders, wherein the first order is that goods are firstly stored in a warehouse;

and if the difference value between the storage time of the goods in the second order and the storage time of the goods in the first order is smaller than a preset threshold value, determining that the first order and the second order need to be delivered in a centralized manner, wherein the second order is any one of the target orders except the first order.

The scheme provided by the above alternative embodiment is simply that: based on the time T0 when the commodity in the target orders is first stored in the warehouse (i.e. the target warehouse allocated to the target orders), if the time difference between the time when the commodity in other orders is stored in the warehouse and the time T0 is less than a set threshold (e.g. one week), the order in which the commodity is first stored in the warehouse and the other orders are determined to need to be delivered centrally.

In another alternative embodiment, determining the order to be delivered collectively in the target orders according to the stocking time of the goods in the target orders may be implemented as:

determining the waiting time from the storage time of the commodities in the first order according to the residual capacity of the warehouse;

and if the storage time of the goods in the second order is within the waiting time length, determining that the first order and the second order need to be delivered in a centralized manner, wherein the second order is any one of the target orders except the first order.

It follows that in this embodiment, in addition to the time that the goods are stored in the warehouse, the remaining capacity of the warehouse may be taken into account.

Wherein, the effect of surplus capacity mainly embodies: the less the remaining capacity of the warehouse, which indicates that a large number of products are already stored in the warehouse, the less available warehouse will be if a large number of products are subsequently required to be stocked. At this time, it is necessary to preferentially ensure that the remaining capacity of the warehouse is greater than a certain threshold value in order to accommodate the goods delivered subsequently, and for this reason, it is necessary to deliver the goods already stored out as soon as possible. Therefore, the relationship between the remaining capacity and the above-described waiting time period can be summarized as: the smaller the remaining capacity is, the shorter the waiting time period is.

Alternatively, determining the waiting time from the time of depositing the goods in the first order according to the remaining capacity of the warehouse may be implemented as:

estimating the backlog increment of the commodities in the current statistical period according to the quantity of the commodities stored in the warehouse and the quantity of the delivered commodities in at least one historical statistical period;

and determining the waiting time from the stocking time of the commodities in the first order according to the residual capacity and the backlog increment of the commodities in the warehouse, wherein the stocking time of the commodities in the first order is positioned in the current statistical period.

For example, assuming that the statistics are performed every other week, the statistics period is one week. Assuming that the statistical operation is performed every monday, the at least one historical statistical period may include one or more consecutive previous weeks, the same week of the last year or the last years, and so on for the current week. Of course, the length of the statistical period may be set according to actual requirements, and is not necessarily in units of weeks.

Assuming that the at least one historical statistic cycle is the first two weeks of the current week, the commodity backlog increment K in the current week can be estimated by counting the commodity quantity N1 stored in the warehouse and the commodity quantity N2 dispensed from the warehouse in the two weeks. For example, K is (N1-N2)/2, where division by 2 means a two-week average. If K is larger than 0, the warehouse will accumulate more commodities in the current week.

In addition, the remaining capacity of the warehouse may be the remaining capacity of the warehouse determined when the statistical operation of the current statistical period is performed, such as the week. Alternatively, the remaining capacity of the warehouse may be determined according to the difference between the maximum number of commodities that the warehouse can accommodate and the number of commodities that have been currently stocked in the warehouse, which is assumed to be C.

According to the remaining capacity C and the backlog increment K of the commodity of the warehouse, the waiting time from the storage time of the commodity in the first order is determined, and the method can be realized as follows: the warehouse is predicted to be filled within the target time length in the future according to the remaining capacity C and the product backlog increment K, and thus the waiting time length is less than or equal to the target time length. For example, if C is 30 and K is 3, then C/K is 10, that is, the warehouse is expected to be full in the next 10 days, so that the waiting time from the time of depositing the goods in the first order is determined to be within 10 days in the future.

determining at least two orders of the plurality of target orders, wherein the commodities are stored in the warehouse;

determining that the at least two orders satisfy a query condition;

sending inquiry information to the user, wherein the inquiry information is used for inquiring whether the user agrees to intensively distribute the commodities in the at least two orders;

determining that the at least two orders need to be delivered in a centralized manner in response to first indication information fed back by the user, wherein the first indication information reflects that the user agrees to deliver the at least two orders in the centralized manner;

and determining that the plurality of target orders need to be delivered in a centralized manner in response to second indication information fed back by the user, wherein the second indication information reflects that the user indicates that the commodities in the plurality of target orders need to be delivered in a centralized manner.

Therefore, in the present embodiment, whether to collectively distribute a plurality of target orders or collectively distribute a part of the plurality of target orders may be determined by the user.

In practical applications, when the production periods of the goods in the target orders are inconsistent, wherein the production period of the goods in a small number of orders is far longer than that of the goods in other orders, it is not necessary to distribute all the target orders collectively. But orders with long commodity production period can be independently distributed, and orders with other commodity production period in a certain time range can be intensively distributed.

For this reason, in this embodiment, after it is determined that the goods in at least two target orders are stored in the warehouse, if the at least two target orders satisfy the preset query condition, the user may be queried as to whether it is desired to distribute the goods in the at least two target orders collectively. If the user agrees, the commodities in the at least two orders are firstly distributed to the user together, and if the orders do not agree, the commodities in all the target orders are stored in the warehouse and then distributed to the user together.

In practical applications, optionally, the at least two orders may be determined as follows: determining a first order of a plurality of target orders, wherein the first order is that goods are firstly stored in a warehouse; and determining each order of the commodities stored in the warehouse within a set time range from the storage time of the commodities in the first order, and forming the at least two orders by each order and the first order.

In practical application, when the inquiry information is sent to the user, the inquiry information may be manually judged and triggered by a customer service person on the transaction management device side. For example, if the customer service person finds that a set number of days has elapsed (i.e., the query condition is satisfied) since the time of depositing the commodity, which is first stored in the warehouse, in the target orders, the customer service person triggers a query to the user, for example, sending out query information by telephone or short message.

Alternatively, in addition to the above-described human-triggered query message, the query message may be automatically triggered by:

acquiring estimated output time corresponding to each commodity in the remaining orders, wherein the remaining orders are orders except the at least two orders in the plurality of target orders;

and if the time difference between the expected output time corresponding to each of the commodities in the remaining orders and the storage time of the commodity finally stored in the warehouse in the at least two orders is larger than a set threshold value, determining that the at least two orders meet the inquiry condition.

The transaction management device may interact with the product providers corresponding to the products in the remaining order to obtain the expected output time, i.e., the expected production completion time, corresponding to the products in the remaining order.

Wherein, the time difference between the expected output time corresponding to each of the commodities in the remaining orders and the storage time of the commodity finally stored in the warehouse in the at least two orders can be determined as follows: if the total number of the commodities in the remaining orders is multiple, determining the target remaining commodities with the earliest predicted output time; and assuming that the stocking time of the commodity finally stocked in the warehouse in the at least two orders is T, taking the difference value between the expected output time of the target remaining commodity and the stocking time T as the time difference.

Based on the description in the above embodiments, in the process of performing order aggregation processing on a plurality of orders corresponding to home decoration services, the order aggregation processing may be implemented in combination with information of some dimensions of a commodity, such as: whether installation services, furniture/appliance type, installation location, time to store in a warehouse need to be provided to the user.

In addition, optionally, the order collection processing can also be implemented by the following ideas:

a large amount of transaction information generated by users based on different decoration requirements (such as home decoration and office decoration requirements) can be collected in advance, and transaction templates corresponding to different decoration scenes are generated in advance by analyzing the transaction information. In order to decorate an office, a user often purchases a large number of tables, chairs, computers, water dispensers, patch boards, partition boards and the like. Thus, the transaction templates corresponding to the office fit scenario may include a plurality of types of merchandise that are most frequently purchased during the office fit process, such as those illustrated above. Similarly, a transaction template corresponding to a home decoration scene may also be generated in advance.

Based on this, after the transaction management device generates a plurality of orders based on the transaction behavior of the user, if the transaction management device finds that a plurality of orders exist in the orders and match with the transaction template corresponding to the office decoration scene, the orders matched with the transaction template corresponding to the office decoration scene are taken as the orders needing to be delivered in a centralized manner. Wherein, the matching of an order with a trading template means that the commodity in the order is contained in the trading template.

Similarly, transaction templates corresponding to specific decoration locations such as a living room, a bedroom, a kitchen, a bathroom, and the like may be generated in advance, and thus, centralized distribution of orders corresponding to a certain decoration location is realized based on the transaction templates.

Optionally, the order collection processing can also be implemented by the following ideas:

taking a home decoration scene as an example, when a whole house needs to be decorated, decoration can be performed according to a certain process sequence in many cases, for example, processes such as ceiling, wall painting, floor laying and the like need to be performed according to a certain sequence. Based on the process sequence, a plurality of orders can be subjected to order collecting processing so as to distribute orders related to the same or adjacent processes in a centralized way.

In summary, based on the delivery scheme provided by the embodiment of the invention, the delivery efficiency of the order can be improved, and the user experience can be improved.

The dispensing device of one or more embodiments of the present invention will be described in detail below. Those skilled in the art will appreciate that the dispensers may each be constructed using commercially available hardware components configured by the steps taught in the present disclosure.

Fig. 7 is a schematic structural diagram of a distribution device according to an embodiment of the present invention, where the distribution device may be located in the transaction management device or the warehouse management device. As shown in fig. 7, the apparatus includes: the system comprises a determining module 11, an order collecting module 12 and a generating module 13.

The determining module 11 is configured to determine a plurality of orders in the warehouse corresponding to the preset service.

And the order collecting module 12 is configured to determine an order that needs to be delivered in a centralized manner from the multiple orders according to the goods in the multiple orders and the service types of the goods.

A generating module 13, configured to generate a delivery task corresponding to the order that needs to be delivered collectively, so as to deliver the commodity based on the delivery task.

Optionally, the collection module 12 may specifically be configured to: determining a plurality of target orders with the same service type in the plurality of orders according to the service types of the commodities in the plurality of orders; determining orders that need to be delivered centrally among the plurality of target orders.

Optionally, the service type comprises an installation service.

Optionally, in the process of determining an order that needs to be delivered collectively in the target orders, the order gathering module 12 may be specifically configured to: and determining the orders needing to be delivered in a centralized mode as the target orders.

Optionally, in the process of determining an order that needs to be delivered collectively in the target orders, the order gathering module 12 may be specifically configured to: and according to the installation process of the commodities in the target orders, determining orders with the same installation process as orders needing centralized distribution in the target orders.

Optionally, in the process of determining an order that needs to be delivered collectively in the target orders, the order gathering module 12 may be specifically configured to: and determining orders with the same attribute type as orders needing centralized delivery in the target orders according to the attribute types of the commodities in the target orders.

Optionally, in the process of determining an order that needs to be delivered collectively in the target orders, the order gathering module 12 may be specifically configured to: acquiring installation progress information; and determining the order needing centralized distribution in the target orders according to the installation progress information.

Optionally, the obtaining module 11 may be further configured to: and acquiring the storage time of the commodities in the plurality of orders, wherein the storage time refers to the time of storing the commodities in the warehouse. The singleton module 12 may also be configured to: and determining the order needing to be delivered in a centralized manner in the orders according to the service types and the deposit time of the commodities in the orders.

Optionally, the collection module 12 may specifically be configured to: determining a plurality of target orders with the same service type in the plurality of orders according to the service types of the commodities in the plurality of orders; and determining the order needing centralized delivery in the target orders according to the deposit time of the commodities in the target orders.

Optionally, in the process of determining an order that needs to be delivered collectively in the target orders according to the time of depositing the goods in the target orders, the order collecting module 12 may be specifically configured to: determining a first order of the plurality of target orders, wherein the first order is the first order in which the goods are stored in the warehouse; and if the difference value between the storage time of the goods in the second order and the storage time of the goods in the first order is smaller than a preset threshold value, determining that the first order and the second order need to be delivered in a centralized manner, wherein the second order is any one of the target orders except the first order.

Optionally, in the process of determining an order that needs to be delivered collectively in the target orders according to the time of depositing the goods in the target orders, the order collecting module 12 may be specifically configured to: determining at least two orders of the plurality of target orders for which goods have been stored in the warehouse; determining that the at least two orders satisfy a query condition; sending inquiry information to the user, wherein the inquiry information is used for inquiring whether the user agrees to centrally deliver the commodities in the at least two orders; determining that the at least two orders need to be delivered in a centralized manner in response to first indication information fed back by the user, wherein the first indication information reflects that the user agrees to deliver the at least two orders in a centralized manner; and determining that the plurality of target orders need to be delivered in a centralized manner in response to second indication information fed back by the user, wherein the second indication information reflects that the user indicates that the commodities in the plurality of target orders need to be delivered in a centralized manner.

Optionally, in the process of determining that the at least two orders satisfy the query condition, the order collection module 12 may be specifically configured to: acquiring estimated output time corresponding to each commodity in the remaining orders, wherein the remaining orders are orders except the at least two orders in the target orders; and if the time difference between the expected output time corresponding to each commodity in the remaining orders and the storage time of the commodity which is stored in the warehouse last in the at least two orders is larger than a set threshold value, determining that the at least two orders meet the inquiry condition.

Optionally, in the process of determining an order that needs to be delivered collectively in the target orders according to the time of depositing the goods in the target orders, the order collecting module 12 may be specifically configured to: determining a first order of the plurality of target orders, wherein the first order is the first order in which the goods are stored in the warehouse; determining a waiting time length from the storage time of the commodity in the first order according to the residual capacity of the warehouse; and if the storage time of the goods in the second order is within the waiting time length, determining that the first order and the second order need to be delivered in a centralized manner, wherein the second order is any one of the plurality of target orders except the first order.

Optionally, in the process of determining a waiting duration from the time of depositing the commodity in the first order according to the remaining capacity of the warehouse, the order collecting module 12 may be specifically configured to: estimating the backlog increment of the commodities in the current statistical period according to the quantity of the commodities stored in the warehouse and the quantity of the delivered commodities in at least one historical statistical period; and determining the waiting time from the stocking time of the commodities in the first order according to the residual capacity of the warehouse and the backlog increment of the commodities, wherein the stocking time of the commodities in the first order is positioned in the current statistical period.

Optionally, the apparatus further comprises: the warehouse allocation module is used for determining the warehouse from the plurality of warehouses according to the preset evaluation indexes corresponding to the plurality of warehouses; establishing a corresponding relation between the orders and the warehouse so as to determine the orders in the warehouse according to the corresponding relation.

Optionally, the evaluation index includes at least one of:

the distance from the user address, the delivery quality evaluation information, and the delivery task amount information.

The apparatus shown in fig. 7 can execute the distribution method provided in the embodiments shown in fig. 1 to fig. 6, and the detailed execution process and technical effect are described in the foregoing embodiments and will not be described herein again.

In one possible design, the structure of the dispensing device shown in fig. 7 may be implemented as an electronic device, as shown in fig. 8, which may include: a processor 21, a memory 22, and a communication interface 23. In which the memory 22 has stored thereon executable code which, when executed by the processor 21, causes the processor 21 to at least implement the distribution method as provided in the embodiments of figures 1 to 6 described above.

In addition, an embodiment of the present invention provides a non-transitory machine-readable storage medium, on which executable code is stored, and when the executable code is executed by a processor of an electronic device, the processor is enabled to implement at least the distribution method provided in the embodiments of fig. 1 to 6.

The above-described apparatus embodiments are merely illustrative, wherein the units described as separate components may or may not be physically separate. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described aspects and portions of the present technology which contribute substantially or in part to the prior art may be embodied in the form of a computer program product, which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including without limitation disk storage, CD-ROM, optical storage, and the like.

The distribution method provided by the embodiment of the present invention may be executed by a certain program/software, the program/software may be provided by a network side, the electronic device mentioned in the foregoing embodiment may download the program/software into a local nonvolatile storage medium, and when it needs to execute the distribution method, the program/software is read into a memory by a CPU, and then the CPU executes the program/software to implement the distribution method provided in the foregoing embodiment, and the execution process may be shown in the foregoing schematic diagrams in fig. 1 to fig. 6.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A method of distribution, comprising:

2. The method of claim 1, wherein determining the order of the plurality of orders that needs to be delivered collectively according to the goods in the plurality of orders and the type of service of the goods comprises:

determining a plurality of target orders with the same service type in the plurality of orders according to the service types of the commodities in the plurality of orders;

determining orders that need to be delivered centrally among the plurality of target orders.

3. The method of claim 2, the service type comprising installing a service.

4. The method of claim 2, said determining an order among said plurality of target orders that requires centralized delivery, comprising:

and determining the orders needing to be delivered in a centralized mode as the target orders.

5. The method of claim 2, said determining an order among said plurality of target orders that requires centralized delivery, comprising:

and according to the installation process of the commodities in the target orders, determining orders with the same installation process as orders needing centralized distribution in the target orders.

6. The method of claim 2, said determining an order among said plurality of target orders that requires centralized delivery, comprising:

and determining orders with the same attribute type as orders needing centralized delivery in the target orders according to the attribute types of the commodities in the target orders.

7. The method of claim 2, said determining an order among said plurality of target orders that requires centralized delivery, comprising:

acquiring installation progress information;

and determining the order needing centralized distribution in the target orders according to the installation progress information.

8. The method of claim 1, further comprising:

obtaining the storage time of the commodities in the plurality of orders, wherein the storage time refers to the time of storing the commodities in the warehouse;

determining the order needing centralized distribution in the orders according to the commodities in the orders and the service types of the commodities, wherein the step comprises the following steps:

and determining the order needing to be delivered in a centralized manner in the orders according to the service types and the deposit time of the commodities in the orders.

9. The method of claim 8, wherein determining the order of the plurality of orders that needs to be centrally delivered based on the type of service and the time of deposit of the item of the plurality of orders comprises:

and determining the order needing centralized delivery in the target orders according to the deposit time of the commodities in the target orders.

10. The method of claim 9, wherein determining the order among the plurality of target orders that needs to be centrally delivered based on the time of deposit of the item in the plurality of target orders comprises:

determining a first order of the plurality of target orders, wherein the first order is the first order in which the goods are stored in the warehouse;

11. The method of claim 9, wherein determining the order among the plurality of target orders that needs to be centrally delivered based on the time of deposit of the item in the plurality of target orders comprises:

determining at least two orders of the plurality of target orders for which goods have been stored in the warehouse;

determining that the at least two orders satisfy a query condition;

sending inquiry information to the user, wherein the inquiry information is used for inquiring whether the user agrees to centrally deliver the commodities in the at least two orders;

and determining that the at least two orders need to be delivered in a centralized manner in response to first indication information fed back by the user, wherein the first indication information reflects that the user agrees to deliver the at least two orders in a centralized manner.

12. The method of claim 11, further comprising:

13. The method of claim 11, said determining that the at least two orders satisfy a query condition, comprising:

acquiring estimated output time corresponding to each commodity in the remaining orders, wherein the remaining orders are orders except the at least two orders in the target orders;

and if the time difference between the expected output time corresponding to each commodity in the remaining orders and the storage time of the commodity which is stored in the warehouse last in the at least two orders is larger than a set threshold value, determining that the at least two orders meet the inquiry condition.

14. The method of claim 9, wherein determining the order among the plurality of target orders that needs to be centrally delivered based on the time of deposit of the item in the plurality of target orders comprises:

determining a waiting time length from the storage time of the commodity in the first order according to the residual capacity of the warehouse;

and if the storage time of the goods in the second order is within the waiting time length, determining that the first order and the second order need to be delivered in a centralized manner, wherein the second order is any one of the plurality of target orders except the first order.

15. The method of claim 14, wherein determining a wait period from a time of deposit of the item in the first order based on the remaining capacity of the warehouse comprises:

and determining the waiting time from the stocking time of the commodities in the first order according to the residual capacity of the warehouse and the backlog increment of the commodities, wherein the stocking time of the commodities in the first order is positioned in the current statistical period.

16. The method of any of claims 1-15, further comprising:

determining the warehouse from a plurality of warehouses according to preset evaluation indexes corresponding to the warehouses respectively;

establishing a corresponding relation between the orders and the warehouse so as to determine the orders in the warehouse according to the corresponding relation.

17. The method of claim 16, wherein the evaluation index comprises at least one of:

18. A dispensing device, comprising:

19. An electronic device, comprising: a memory, a processor, a communication interface; wherein the memory has stored thereon executable code which, when executed by the processor, causes the processor to carry out a distribution method as claimed in any one of claims 1 to 17.

20. A non-transitory machine-readable storage medium having stored thereon executable code which, when executed by a processor of an electronic device, causes the processor to perform the distribution method of any one of claims 1 to 17.