JP7157008B2 - Decision device, decision method and decision program - Google Patents

Description

TECHNICAL FIELD Embodiments of the present invention relate to a determination device, a determination method, and a determination program.

Electronic commerce (EC) using networks is actively performed. In sites such as EC sites, multiple sellers (stores) are open, and when a user orders a product, the ordered product is delivered to the user from the warehouse of the distribution center that manages the products of each store. and may be delivered.

A technique has been proposed for reducing the cost of product delivery services for sellers and for improving delivery efficiency and increasing profits for delivery companies (Patent Document 1).

Japanese Patent Application Laid-Open No. 2003-123003

However, with the above conventional technology, it is not always possible to smoothly deliver the ordered product to the user. For example, in the conventional technology described above, a more efficient delivery route is selected from the delivery routes from the receipt of the product at the seller to the delivery of the received product to the delivery destination, and the selected delivery route is set. Request the delivery of the ordered product from the shipping company.

With the conventional technology described above, even if delivery efficiency can be improved for delivery companies, it is not always possible to smoothly deliver ordered products to users.

The present application has been made in view of the above, and an object thereof is to provide a determination device, a determination method, and a determination program capable of smoothly delivering an ordered item to a user.

A determination device according to the present application includes an acquisition unit that acquires order information, which is information about the ordered product ordered by the user when the user orders the product in a predetermined electronic commerce service, and a determination unit that determines, based on the order information , a store that handles the ordered product among predetermined physical stores as a target store that provides the ordered product from among the products of the store that handles the ordered product; Based on the desired delivery date and time, which is the date and time on which the ordered product is desired to be delivered to the delivery destination specified by the user, the user is in charge of delivering the ordered product to the delivery destination. and a delivery control unit that determines a person in charge of delivery .

According to one aspect of the embodiment, there is an effect that the ordered product can be delivered smoothly to the user.

FIG. 1 is a diagram illustrating an example of store determination processing according to the embodiment; FIG. 2 is a diagram illustrating a configuration example of a store determination system according to the embodiment; FIG. 3 is a diagram illustrating a configuration example of a determination device according to the embodiment; 4 is a diagram illustrating an example of a store information storage unit according to the embodiment; FIG. 5 is a diagram illustrating an example of an order information storage unit according to the embodiment; FIG. 6 is a diagram illustrating an example of a determination information storage unit according to the embodiment; FIG. 7 is a diagram illustrating a configuration example of a delivery management server according to the embodiment; FIG. 8 is a diagram illustrating an example of a delivery person information storage unit according to the embodiment; FIG. FIG. 9 is a flow chart showing the overall flow of the store determination procedure according to the embodiment. FIG. 10 is a flowchart showing a detailed flow of store determination procedures according to the embodiment. FIG. 11 is a hardware configuration diagram showing an example of a computer that implements the functions of the determination device.

Embodiments (hereinafter referred to as "embodiments") for implementing the determination device, determination method, and determination program according to the present application will be described below with reference to the drawings. Note that the determination device, determination method, and determination program according to the present application are not limited to this embodiment. In addition, in the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Store decision processing]
First, an example of store determination processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of store determination processing according to the embodiment; A store determination process according to the embodiment is performed by the determination device 100 .

1, the store determination system 1 according to the embodiment includes a user terminal 10, a delivery staff terminal 20, a store terminal 30-1, _a store terminal _30-2 , a store terminal 30-3 _, and a determining device. 100 and a delivery management server 200 . In addition, the user terminal 10, the delivery staff terminal 20, the store terminal 30 ₁ , the store terminal 30 ₂ , the store terminal 30 ₃ , the decision device 100, and the delivery management server 200 are wired or wirelessly connected via the network N shown in FIG. Communicatively connected.

In the example of FIG. 1, the store determination system 1 includes one user terminal 10, _one delivery staff terminal ₂₀ , and _three store terminals (store terminal 30-1, store terminal 30-2, and store terminal 30-3). ), but the number of these devices included in the store determination system 1 is not limited. When there is no need to distinguish between the store terminals (store terminal 30 ₁ , store terminal 30 ₂ , store terminal 30 ₃ . . . store terminal 30 _x ), they are simply referred to as "store terminal 30".

Next, each device and store included in the store determination system 1 will be described. The user terminal 10 is an information processing device used by a user. The user terminal 10 is, for example, a smart phone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. For example, the user terminal 10 accesses an EC site or places an order for products on the EC site according to user operations. An EC site is an example of an "electronic commerce service."

Further, in the present embodiment, it is assumed that the user terminal 10 is preinstalled with an “application AP1” that is an application that enables use of “ZZmall” (the site name or service name of the EC site). It is also assumed that “ZZ mall” is operated by business owner Z who manages decision device 100 . For example, a plurality of stores affiliated with business owner Z participate in "ZZ mall" and exhibit products. In addition, the sales form of stores participating in "ZZ Mall" is not limited. For example, a store participating in "ZZ Mall" may sell at a physical store or may be an online shop.

The delivery staff terminal 20 is an information processing device used by the delivery staff. The delivery staff terminal 20 is, for example, a smart phone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or the like. For example, when the delivery terminal 20 receives a product delivery instruction, it displays information related to the delivery instruction. In the present embodiment, it is assumed that an “application AP2”, which is an application capable of displaying information related to delivery instructions, is pre-installed in the delivery staff terminal 20 .

The delivery management server 200 is a server device that performs various controls related to delivery of ordered products. For example, the delivery management server 200 performs various controls related to delivery of ordered products when a target store is determined by the store determination processing by the determination device 100 . For example, the delivery management server 200 determines a delivery member to be in charge of delivery, and instructs (requests) the determined delivery member to deliver the ordered product to the delivery destination. As an example, the delivery management server 200 identifies appropriate means of transportation (mobility) for delivery personnel. Further, when a plurality of different target stores are determined for a plurality of ordered products by one user, the delivery management server 200 determines a store serving as a delivery base among the plurality of different target stores. In addition, the delivery management server 200 gives incentives to delivery destinations of ordered products.

Here, the delivery person according to the embodiment is an individual delivery person employed by a predetermined business owner. For example, a delivery person waits in an arbitrary area or at his/her home until he/she receives an instruction to deliver the goods. For example, a delivery person who receives a product delivery instruction via the delivery person terminal 20 goes to the sender of the product (for example, a store that is a product seller) to receive the product. Then, the delivery person delivers the received product to the designated delivery destination.

In addition, such delivery personnel deliver by bicycle, motorbike, automobile (not limited to private car, rental car, etc.), or their own available means of transportation. In this embodiment, as described above, the delivery person is an individual delivery person hired by a predetermined business owner, but is not limited to this. may be

The store terminal 30 is a terminal device used by a store affiliated with the business owner Z. The store corresponding to the store terminal 30 is a real store that exists in reality. In addition, the store corresponding to the store terminal 30 is a candidate store that can be the target store determined by the determination device 100. Provide (sell) ordered products from among the products handled by Note that the store corresponding to the store terminal 30 does not necessarily have to participate in the ZZ mall. In FIG. ₁ , the store terminal 301 is used for "store A-1", the store terminal ₃₀₂ is used for "store B-1", and the store terminal ₃₀₃ is used for "store C-1". indicates

Next, the premise of the store determination process performed by the determination device 100 according to the embodiment will be described. For example, when many stores (store business owners) participate in one EC site (such EC sites are also called Internet shopping malls, etc.), the products handled at each store are distributed to a predetermined distribution center. It may be accumulated and stored in advance in (huge distribution warehouse).

In such a case, when the EC site receives an order for the product from the user, the ordered product is delivered from the distribution center to the delivery source. For example, the EC site delivers the product to the delivery destination from a distribution center located closer to the delivery destination, out of the distribution centers holding the ordered product.

Here, distribution centers are often managed by, for example, an operator of an EC site, but there are not many distribution centers nationwide. For example, there are only a few distribution centers in each specific region. As a result, there are often no distribution centers located near the delivery destination (for example, in the same region). In such a case, problems arise such as a longer time from ordering to product arrival and a higher transportation cost.

The cause of such problems is, as described above, that the number of delivery sources for ordered products is limited to distribution centers. In order to solve such a premise problem, for example, if there is a physical store that sells ordered products near the delivery destination, if the ordered product can be delivered from this physical store to the delivery destination. Therefore, it is possible to smoothly deliver the ordered product to the user without having to bother to deliver the ordered product from a distant distribution center. In such a case, the physical store will provide, for example, the ordered product from the products in its inventory as the product handled by the physical store, and thus the physical store can be said to serve as a distribution center.

Therefore, the determination device 100 according to the embodiment performs store determination processing for determining a physical store that can replace the distribution center. Specifically, the determination device 100 according to the embodiment acquires order information, which is information about the ordered product ordered by the user, when the user orders the product in a predetermined electronic commerce service. Then, based on the acquired order information, the determining device 100 determines a store that handles the ordered product among the predetermined physical stores as a target store that provides the ordered product from among the products of the relevant store. do. In this embodiment, it is assumed that the predetermined e-commerce service is "ZZ mall".

Now, below, an example of the store determination process performed by the determination device 100 will be described. First, in FIG. 1A, the user terminal 10 displays the top page P1 of ZZ Mall on the display screen according to the operation of the user U1. In this embodiment, it is assumed that various pages related to the ZZ mall, including the top page P1 of the ZZ mall, are delivered by the determining device 100 . However, various pages related to ZZ Mall may be distributed from a server device other than the deciding device 100 that cooperates with the deciding device 100, for example.

As shown in FIG. 1A, on the top page P1, as pick-up products, product PDx1, product PDx2, product PDx3, and product PDx4 are introduced. In this way, the user U1 can search for the product that he/she wants to order (purchase) from among the picked-up products, or can search for the product by store search, category search, or direct input. For example, user U1 searches for product PD1 and selects information about product PD1.

It should be noted that the user U1 can also specify a store and search for a product that the user wants to order from among the products sold by that store. As will be described later, in the store determination process according to the embodiment, even if the user designates a store in this manner, the designated store is not necessarily determined as the target store.

In such a case, the user terminal 10 accesses the determination device 100 to display a product page P2 as shown in FIG. 1(b). The product page P2 includes information about the product PD1 selected by the user. For example, in addition to the image and detailed information of the product PD1, the product page P2 includes a review (evaluation information) for the product PD1, the price of the product PD1, an input field R1 for the user's desired delivery address (delivery address), and a delivery address. An input field R2 for inputting the desired delivery date and time, which is the date and time at which the product is to be delivered, is included. The product page P2 also includes a button BT for ordering the product PD1 from the determination device 100. FIG. In the example of FIG. 1, the user U1 does not specify the store when ordering, but if the store that sells the product PD1 is known, the product page P2 includes: The name of the store selling the product PD1 may also be displayed. In the example of FIG. 1(b), "Store X" is displayed as the store where the product PD1 is sold.

In this state, the user U1 enters, for example, "K1 Ward, Tokyo..." in the entry field R1, enters "14:00 on May 20, 2018" in the entry field R2, and presses the button BT. Suppose you press it. That is, it is assumed that the user U1 has specified "K1 Ward, Tokyo..." as the delivery destination and "14:00, May 20, 2018" as the desired delivery date and time, and has placed an order for the product PD1. .

In such a case, the user terminal 10, in response to pressing the button BT, transmits order information regarding the product PD1, which is the ordered product ordered by the user U1, to the determination device 100 (step S1). The order information on the product PD1 includes, for example, identification information on the product PD1 and user information on the user U1. Further, such user information is information indicating the delivery destination and desired delivery date and time specified by the user U1.

When acquiring the order information transmitted from the user terminal 10, the determination device 100 performs store determination processing according to the embodiment (step S2). Specifically, based on the acquired order information, the determining device 100 identifies stores that handle the product PD1 among predetermined physical stores, and provides the user U1 with the product PD1 at the identified stores. Decide as a target store (to sell). More specifically, based on the acquired order information and the inventory information about the products handled in each of the predetermined physical stores, the determining device 100 determines whether the product PD1 is handled in the predetermined physical stores. Identify a store.

Here, inventory information about products handled in each predetermined physical store will be described. Such inventory information is stored in the store information storage unit 121 . For example, the determining device 100 stores inventory information in advance in the store information storage unit 121 . In the example of FIG. 1, the store information storage unit 121 has items such as "business owner", "store name", "location", and "products handled".

"Business Owner" is the name of the business owner who operates the store indicated by "Store Name", and may be either a corporation or an individual. For example, if the business owner is a corporation, a company name such as "XX Co., Ltd." is entered in "business owner". Also, if the business owner is an individual, the individual name is entered in the "business owner" field.

Here, depending on the business owner, there are cases where the stores are chained or franchised. For example, assuming that the business owner "CA1 Co., Ltd." operates a chain store A, the fulcrums of the store A are scattered in various places. In such a case, the name of the store A for each branch is input to the store information storage unit 121 as the "store name". In the example of the store information storage unit 121 shown in FIG. 1, the store name "store A-1" corresponds to the branch name of a certain branch of the store A chain-developed by CA1.

The store stored in the store information storage unit 121 (store indicated by "store name") is, for example, a store that has a predetermined contract with the business owner Z and is a real store. Also, such stores do not necessarily have to participate in ZZ Mall.

"Location" indicates the location (current address) of the store indicated by "Store name". "Products handled" indicates the products handled at the store indicated by the "store name". Specifically, the "handled product" indicates the product handled at the store indicated by the "store name".

Returning to the description of the store determination process, in step S2, the determination device 100 selects the order information and the "handling product" (stock information) corresponding to each store (candidate store) stored in the store information storage unit 121. example) to specify the stores handling the product PD1 among the candidate stores. In the example of FIG. 1, the determining device 100 identifies store A-1, store B-1, and store C-1 as handling stores.

Further, in such a state, the determining device 100 determines the store A-1, the store B based on the "location" (an example of the store location information) of each of the store A-1, the store B-1, and the store C-1. -1, a store that has a predetermined positional relationship with respect to the delivery destination specified by user U1 among stores C-1 is determined as a target store. Specifically, the determining device 100 stores the “address” of each of the store A-1, the store B-1, and the store C-1, and the delivery destination (“K1 Ward, Tokyo …”) specified by the user U1. , and the store located closer to the delivery destination specified by the user U1 among the store A-1, store B-1, and store C-1 is determined as the target store.

For example, the determination device 100 determines that the store A-1, which exists in the same district as the delivery destination, is located closest to the delivery destination, and selects the product PD1 from among the products handled by the store A-1. Decide as a target store to provide.

Now, as explained with reference to FIG. 1(b), the store X sells the product PD1 in the ZZ mall. However, the determining device 100 has determined the store A-1, which is different from the store X (with a different business owner), as the target store. In this way, the determination device 100 may determine, as target stores, unrelated stores that are different from sales stores that sell the ordered products in the ZZ mall, regardless of whether the user designates a store. Of course, in hindsight, the determining device 100 may determine the store itself that sells the ordered product at the ZZ mall as the target store.

Next, the determining device 100 transmits determined store information to the delivery management server 200 (step S3). The determined store information includes the identification information of the user U1 who placed the order, the identification information indicating that the target store is the store A-1, and the identification information of the product PD1. That is, the determining device 100 instructs the delivery management server 200 to deliver the product PD1 from the store A-1, which is the target store, to the delivery destination of the user U1.

The delivery management server 200 transmits the determined store information to the store A-1 based on the determined store information received from the determination device 100 (step S4). As a result, the delivery management server 200 instructs the store A-1 to deliver the product PD1 to the delivery person who visits after the store A-1 has been determined as the target store.

Also, although not shown, the delivery management server 200 determines a delivery person who can deliver the product PD1. For example, the delivery management server 200 determines the delivery person who can go to the store A-1 the earliest to deliver the product PD1. In the example of FIG. 1, the delivery management server 200 determines the delivery person D1. In such a case, the delivery management server 200 transmits a delivery instruction to the delivery member terminal 20 of the delivery member D1 (step S5). For example, the delivery management server 200 goes to the store A-1, receives the product PD1, and instructs to deliver the product PD1 to the delivery destination specified by the user U1.

Note that the delivery management server 200 may notify the user U1 in advance of what kind of delivery person will deliver the product PD1 when the delivery person is determined. In the example of FIG. 1, the delivery management server 200 notifies the user U1 of the identification information (for example, registration number and name) of the delivery person D1.

The delivery member D1 who received the instruction receives the product PD1 at the store A-1 and delivers the product PD1 to the delivery destination specified by the user U1 (step S6). For example, user U1 is waiting at this delivery destination. At this time, for example, by presenting the registration number or name to the user U1, the delivery person D1 can let the user U1 know that he or she is in charge of delivery of the product PD1.

As described above, the determination device 100 according to the embodiment acquires order information, which is information about the ordered product ordered by the user, when the user orders the product in a predetermined electronic commerce service. Then, based on the acquired order information, the determining device 100 determines a store that handles the ordered product among predetermined physical stores as a target store that provides the ordered product from among the products of the handling store. .

As a result, the determining device 100 according to the embodiment can use the target store as a distribution center, so that, for example, there is no need to deliver products from a distant distribution center to a delivery destination. As such, the determination device 100 can smoothly deliver the ordered product to the user. In addition, the determining device 100 can also reduce the cost of delivery.

[2. System configuration]
Next, the configuration of the store determination system according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the store determination system 1 according to the embodiment. The store determination system _{1 according} to the embodiment includes, as shown in FIG. Also, the user terminal 10, the delivery staff terminal 20, the store terminals 30 ₁ to 30 _x , the determination device 100, and the delivery management server 200 are communicatively connected by wire or wirelessly via the network N shown in FIG.

[3. Configuration of Decision Device]
Next, the determination device 100 according to the embodiment will be described using FIG. FIG. 3 is a diagram illustrating a configuration example of the determination device 100 according to the embodiment. As shown in FIG. 3 , the determination device 100 has a communication section 110 , a storage section 120 and a control section 130 .

(Regarding communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the user terminal 10 and the delivery management server 200, for example.

(Regarding storage unit 120)
The storage unit 120 is realized by, for example, a RAM (Random Access Memory), a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. Storage unit 120 has store information storage unit 121 , order information storage unit 122 , and determination information storage unit 123 .

(Regarding store information storage unit 121)
The store information storage unit 121 stores information about products handled in each actual store. Such a physical store is, for example, a physical store that has a predetermined contract with the business owner Z of the decision device 100, or a physical store operated by a business owner that has a predetermined contract with the business owner Z of the decision device 100. be. Here, FIG. 4 shows an example of the shop information storage unit 121 according to the embodiment. In the example of FIG. 4, the store information storage unit 121 has items such as "business owner", "store name", "store ID", "fulcrum", "location", and "products handled". Note that the store information storage unit 121 shown in FIG. 4 will be explained in more detail than that explained with reference to FIG.

"Business Owner" is the name of the business owner who operates the store indicated by "Store Name", and may be either a corporation or an individual. For example, if the business owner is a corporation, a company name such as "XX Co., Ltd." is entered in "business owner". Also, if the business owner is an individual, the individual name is entered in the "business owner" field.

The "store name" is the name of the store operated by the "business owner". For example, if this store is a chain or franchised store, there are "branches" in various places. "Store ID" indicates identification information for identifying the store indicated by "Store name". For example, if the store indicated by the "store name" is chained or franchised, a "store ID" is assigned to each "branch". In the example of FIG. 1, a "store A" operated by a business owner "CA1 Co., Ltd." is developed as a chain, and has Roppongi branch, Meguro branch, Akasaka branch, etc., for example. Further, an example in which "store ID" is assigned to each of the Roppongi branch, Meguro branch, and Akasaka branch is shown. As mentioned in FIG. 1, in the following embodiments, for example, the Roppongi branch of store A will be referred to as "store A-1".

"Location" indicates the location (current address) of the store. Shows the products handled at the store. Specifically, "handled product" indicates the product handled at the store. In the example of FIG. 4, "handled products" are stored for each category (for example, miscellaneous goods, home electronics, food). Also, as the "handled product", the product name may be stored, or the individual identification number of the product may be stored. In other words, any information may be stored as long as it is information that can identify the "handling product".

In addition, in the example of FIG. 4, "Yamamoto store" shows an example in which business owner "Yamamoto XX" is privately managed.

(Regarding the order information storage unit 122)
The order information storage unit 122 stores information on ordered products ordered by the user. As described with reference to FIG. 1, in this embodiment, the user places an order for a product on ZZmall, which is an e-commerce service. Here, FIG. 5 shows an example of the order information storage unit 122 according to the embodiment. In the example of FIG. 5, the order information storage unit 122 has items such as "user ID", "ordered product", "price", "delivery destination", and "desired delivery date and time".

“User ID” indicates identification information for identifying a user or user terminal 10 . "Ordered product" is identification information for identifying the ordered product ordered by the user. The “ordered product” may be, for example, the product name or individual identification number of the ordered product ordered by the user. "Price" indicates the price of the ordered product. The “delivery destination” indicates the delivery destination designated by the user for the ordered product. In the example of FIG. 1, the information entered in the entry field R1 is stored in this "delivery destination". In addition, the user can input the address of an arbitrary facility (for example, a park) in addition to his/her own address in the "delivery destination" field. As a result, the determining device 100 can meet the needs of, for example, delivering meals to a park serving as a cherry-blossom viewing venue.

The "desired delivery date and time" indicates the desired date and time for product delivery to the "delivery destination". In the example of FIG. 1, the information entered in the entry field R2 is stored in this "desired delivery date and time".

That is, in the example of FIG. 5, the user (user U1) identified by the user ID "U1" orders the product "product PD1" with the price of "1,000 yen" and the delivery destination of the product PD1 is "Tokyo. "K1 Ward, Tokyo..." is specified, and "May 20, 2018, 14:00" is specified as the desired delivery date and time of the product PD1 to the delivery destination "K1 Ward, Tokyo...".

(Regarding decision information storage unit 123)
The determination information storage unit 123 stores information determined by the store determination process. Here, FIG. 6 shows an example of the determination information storage unit 123 according to the embodiment. In the example of FIG. 6, the determination information storage unit 123 has items such as "user ID" and "target store".

“User ID” indicates identification information for identifying the user or user terminal 10 who ordered the product. "Target store" stores the target store determined by the store determination process, that is, the target store that provides the ordered product from the products of its own store on behalf of the distribution center. For the "target store", for example, the "store ID" described with reference to FIG. 4 is used.

That is, the example of FIG. 6 shows an example in which the determination device determines "store A-1" as the target store in response to the product order by user U1. Some users may order multiple products, and in such cases, the same target store may be determined for all of the multiple ordered products, or a different target store may be determined for any of the multiple ordered products. Sometimes.

(About other storage units)
Although not shown, the determination device 100 may have a storage unit that stores nationwide map information (route information).

Returning to FIG. 3, the control unit 130 executes various programs stored in a storage device inside the determination device 100 using a RAM as a work area by a CPU (Central Processing Unit), MPU (Micro Processing Unit), or the like. It is realized by Also, the control unit 130 is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 130 includes a display control unit 131, a distribution unit 132, a reception unit 133, an acquisition unit 134, a determination unit 135, a notification unit 136, an instruction unit 137, and a calculation unit. 138, and implements or executes the information processing functions and actions described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it performs information processing described later. Moreover, the connection relationship between the processing units of the control unit 130 is not limited to the connection relationship shown in FIG. 3, and may be another connection relationship.

(Regarding the display control unit 131)
The display control unit 131 controls the display of the content when a content distribution request is accepted. For example, when receiving a content distribution request, the display control unit 131 generates the content. In the example of FIG. 1, when the display control unit 131 receives a distribution request for the top page P1 from the user terminal 10, the display control unit 131 generates the top page P1 according to the user U1. When the user U1 selects the product PD1 and receives a delivery request for the product page P2 from the user terminal 10, the product page P2 as shown in FIG. 1B is generated.

(Regarding the distribution unit 132)
The distribution unit 132 distributes content. For example, the distribution unit 132 distributes content generated by the display control unit 131 . For example, when the display control unit 131 generates the top page P<b>1 , the distribution unit 132 distributes the top page P<b>1 to the user terminal 10 .

(Regarding the receiving unit 133)
The receiving unit 133 receives an order for a product from a user. Specifically, when the user places an order for a product using the user terminal 10 , the receiving unit 133 receives order information regarding the ordered product from the user terminal 10 . In the example of FIG. 1, the user U1 orders the product PD1 from the determination device 100 by pressing the button BT. Therefore, when the button BT is pressed, the user terminal 10 transmits the order information including the identification information of the product PD1, the delivery destination information, and the desired delivery date and time information to the determination device 100. FIG. In such a case, the receiving unit 133 receives order information from the user terminal 10 . The receiving unit 133 also stores the received order information in the order information storage unit 122 .

(Regarding the acquisition unit 134)
The acquisition unit 134 acquires order information, which is information about the ordered product ordered by the user, when the user orders the product in a predetermined electronic commerce service. For example, the acquisition unit 134 acquires ordered product information including identification information for identifying the ordered product and user information about the user.

In the example of FIG. 1, the user U1 selects the product PD1 at the ZZ mall, inputs information as shown in FIG. 1(b), and then orders the product PD1. In this case, the receiving unit 133 receives the identification information of the product PD1, the delivery destination information corresponding to the product PD1, and the desired delivery date and time information corresponding to the product PD1, and stores them in the order information storage unit 122 as described above. Therefore, the acquisition unit 134 acquires the identification information of the product PD1, the delivery destination information corresponding to the product PD1, and the desired delivery date and time information corresponding to the product PD1 from the order information storage unit 122. FIG. The acquisition unit 134 then transmits the acquired information to the determination unit 135 .

Note that the acquisition unit 134 may also receive (acquire) order information from the user terminal 10 . In such a case, the determining device 100 may not have the receiving section 133 .

(About decision unit 135)
The decision unit 135 performs the following shop decision processing. Based on the order information acquired by the acquisition unit 134, the determination unit 135 selects a store that handles the ordered product among the predetermined actual stores, and selects a target store that provides the ordered product from among the products of the store. Determined as For example, the determination unit 135 determines a store that handles the ordered product among predetermined physical stores as a target store that provides the ordered product from the products handled (stocked products) at the handling store. Further, the determining unit 135 selects a storage facility (for example, a distribution center) where products sold by a predetermined e-commerce service are stored, and not a storage facility dedicated to a predetermined e-commerce service, but a predetermined physical store. Among them, the store that handles the ordered product is determined as the target store. For example, the determining unit 135 determines the target store based on the inventory information regarding the products handled at each predetermined physical store. More specifically, the determination unit 135 determines the target store based on the inventory information and the order information regarding the products handled at each predetermined physical store.

Further, the determining unit 135 determines, as target stores, stores that have a predetermined positional relationship with respect to the delivery destination specified by the user among the stores that carry the products, based on the store location information indicating the location of each of the predetermined actual stores. do. For example, based on the store location information, the determining unit 135 determines, as the target store, a handling store located closer to the delivery destination specified by the user among the handling stores.

In addition, the determination unit 135 selects the delivery date and time from among the stores that carry the product based on the desired delivery date and time, which is the date and time that the ordered product is desired to be delivered to the delivery destination specified by the user. Determine the target store. For example, based on the desired delivery date and time, the determination unit 135 determines, as the target store, a handling store that is in a position where the ordered product can be delivered to the delivery destination specified by the user in time for the desired delivery date and time. do.

An example of store determination processing is shown below. For example, the determining unit 135 identifies a handling store based on the order information and the “products handled” (inventory information) in the store information storage unit 121 . Next, the determining unit 135 identifies, from among the stores, a store that can deliver the ordered product in time for the desired delivery date and time. Then, based on the store location information, the determining unit 135 selects a handling store located closer to the delivery destination among the handling stores that can deliver the ordered product in time for the desired delivery date and time as the target store. decide. This point will be described using the example of FIG.

First, the receiving unit 133 receives from the user terminal 10 of the user U1 the identification information of the product PD1, the delivery destination information "K1 Ward, Tokyo...", and the desired delivery date and time information "May 20, 2018, 14:00". Suppose you have received order information. Assume that the determining unit 135 receives the order information from the acquiring unit 134 . In such a case, the determination unit 135 matches the order information with the “products handled” (an example of inventory information) corresponding to each of the candidate stores stored in the store information storage unit 121, and selects the product PD1 among the candidate stores. Identify stores that carry In the example of FIG. 1 (the same applies to the example of FIG. 4), the determination unit 135 identifies store A-1, store B-1, and store C-1 as handling stores.

Next, the determination unit 135 determines the delivery destination information corresponding to the user U1, the desired delivery date and time information, and the store location information of each handling store (corresponding to the “location” of the store information storage unit 121). To specify a handling store at a position where the ordered product can be delivered in time for the desired delivery date and time from the handling stores. For example, the determination unit 135 refers to the map information and searches for a route (for example, the shortest route) from each candidate store to the delivery destination. Then, the determining unit 135 calculates the required time required from each candidate store to the delivery destination when the searched route is used. At this time, the determining unit 135 may specify a delivery person who can handle the delivery, and calculate the required time in consideration of the means of transportation available to the specified delivery person. For example, in a city, a motorcycle has more mobility than a passenger car. Therefore, if the delivery person can use a motorcycle, the required time may be calculated to be several minutes or several tens of minutes shorter than the normal required time. Further, the determination unit 135 may calculate the required time by adding the time required for the delivery staff to arrive at each candidate store.

Then, the determining unit 135 extracts, from among the candidate stores, candidate stores corresponding to a shorter required time than the time from the time when the order was received from the user U1 to the desired delivery date and time. For example, when the user sets the desired delivery date and time, the determination unit 135 may not be able to identify a store that can deliver the ordered product in time for the desired delivery date and time. In such a case, the determination unit 135 may suggest that the desired delivery date and time cannot be accepted, or to extend the desired delivery date and time to the next day or the like. Thereby, the determination unit 135 can increase the number of candidate shops.

Here, it is assumed that the determination unit 135 has extracted store A-1 and store B-1 from among the candidate stores as stores that can deliver the ordered product in time for the desired delivery date and time. do. In such a state, the determining unit 135 determines the delivery destination specified by the user U1 among the extracted candidate stores based on the “location” of each of the extracted candidate stores and the delivery destination information corresponding to the user U1. A store that has a predetermined positional relationship with respect to is determined as a target store. For example, the determining unit 135 matches the extracted “location” of the candidate store with the delivery destination (“K1 Ward, Tokyo …”) specified by the user U1, and determines whether the store A-1 or the store B- 1, the store located closer to the delivery destination designated by user U1 is determined as the target store.

For example, the determining unit 135 refers to the map information to determine which of the store A-1 and the store B-1 is closer to the delivery destination specified by the user U1, and selects the closer store as the target store. Determined as In this example, it is assumed that the determining unit 135 has determined store A-1 as the target store that provides product PD1 from among the products of its own store. In such a case, the determination unit 135 stores information indicating that the store A-1 has become the target store in the determination information storage unit 123. FIG. For example, the determination unit 135 associates the user ID “U1” with the store ID “A-1” of the store A-1 and stores them in the determination information storage unit 123 .

(Regarding the notification unit 136)
The notification unit 136 notifies the user of information regarding the product order. For example, the notification unit 136 notifies the scheduled arrival date and time of the ordered product ordered by the user. As described above, the determination unit 135 calculates the required time required for the ordered product to be delivered to the delivery destination. Therefore, the notification unit 136 calculates the scheduled arrival date and time based on the required time and the desired delivery date and time. For example, the notification unit 136 can notify the desired delivery date and time as the expected arrival date and time, if the desired delivery date and time is sufficiently within time. In addition, the notification unit 136 may predict the traffic conditions around the delivery destination at the desired delivery date and time, and calculate the scheduled arrival date and time in consideration of the predicted traffic conditions.

(Regarding the instruction unit 137)
The instruction unit 137 instructs delivery of the ordered product from the target store determined by the determination unit 135 to the delivery destination of the user. For example, the instruction unit 137 instructs the delivery management server 200 to execute processing for delivering the ordered product from the target store determined by the determination unit 135 to the delivery destination. In the example of FIG. 1, the instruction unit 137 instructs the delivery management server 200 to deliver the product PD1 from the store A-1, which is the target store, to the delivery destination of the user U1. For example, the instruction unit 137 determines that the identification information of the user U1 who placed the order, the identification information indicating that the target store is the store A-1 (the store ID of the store A-1), and the identification information of the product PD1 are included. The instruction is given by transmitting the store information to the delivery management server 200 .

(Regarding the calculation unit 138)
The calculation unit 138 calculates the settlement amount. Specifically, the calculation unit 138 calculates the settlement amount between the user who is the orderer and the target store. In the example of FIG. 1, the user U1 purchases the product PD1 at the store A-1, so the calculation unit 138 calculates the settlement amount between the user U1 and the store A-1.

[4. Configuration of Delivery Management Server]
Next, the delivery management server 200 according to the embodiment will be described using FIG. FIG. 7 is a diagram showing a configuration example of the delivery management server 200 according to the embodiment. As shown in FIG. 7 , the delivery management server 200 has a communication section 210 , a storage section 220 and a control section 230 .

(Regarding communication unit 210)
The communication unit 210 is implemented by, for example, a NIC. The communication unit 210 is connected to the network N by wire or wirelessly, and transmits/receives information to/from the delivery terminal 20, the store terminal 30, and the determination device 100, for example.

(Regarding storage unit 220)
The storage unit 220 is realized by, for example, a semiconductor memory device such as a RAM or flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 220 has a delivery person information storage unit 221 .

(Regarding the delivery person information storage unit 221)
The delivery person information storage unit 221 stores various information related to delivery persons who deliver ordered products. Here, FIG. 8 shows an example of the delivery person information storage unit 221 according to the embodiment. In the example of FIG. 8, the delivery person information storage unit 221 has items such as "delivery person ID", "waiting area", "delivery means", and "working status".

“Delivery member ID” indicates identification information for identifying the delivery member or the delivery member terminal 20 . "Waiting area" indicates an area where the delivery person is scheduled to wait. The “delivery means” indicates the delivery means (moving means) that the delivery person can use to receive and deliver the ordered product. In addition, only licensed delivery workers can register motorcycles and passenger cars as "delivery means", but such delivery workers do not necessarily have to own motorcycles or passenger cars.

"Work status" indicates the current work status of the delivery person. For example, a delivery person can perform delivery work at any time. For this reason, the delivery staff indicates to the delivery management server 200 that they wish to carry out the delivery work whenever they like. For example, the delivery staff uses the delivery staff terminal 20 to transmit a job request to the delivery management server 200 . The delivery management server 200 changes the work status to "waiting" when the request for the person in charge of the work is accepted. In addition, the delivery management server 200 sets the work status of a delivery person who is in charge of delivery of the ordered product and who is currently delivering the product to "delivery in progress". In addition, the delivery management server 200 assigns "off duty" to a delivery person who has not sent a request to be in charge of work and is not involved in the work at all.

Returning to FIG. 7, the control unit 230 is realized by executing various programs stored in the storage device inside the delivery management server 200 by the CPU, MPU, etc., using the RAM as a work area. Also, the control unit 130 is realized by an integrated circuit such as an ASIC or FPGA, for example.

As shown in FIG. 7, the control unit 230 includes a reception unit 231, a reception unit 232, a delivery control unit 233, and an instruction unit 234, and implements or executes the information processing functions and actions described below. do. Note that the internal configuration of the control unit 230 is not limited to the configuration shown in FIG. 7, and may be another configuration as long as it performs information processing described later. Moreover, the connection relationship between the processing units of the control unit 230 is not limited to the connection relationship shown in FIG. 7, and may be another connection relationship.

(Regarding the reception unit 231)
The reception unit 231 receives information on delivery work from the delivery staff. For example, the reception unit 231 receives registration of waiting areas, receipt of ordered products, and registration of delivery means available for delivery of ordered products from delivery staff. In addition, the reception unit 231 receives a request to be in charge of a job, which is a manifestation of intention from a delivery person to the effect that he/she wants to perform the delivery job. The reception unit 231 also stores the received information in the delivery person information storage unit 221 . In addition, the reception unit 231 receives a report of the completion of the delivery work from the delivery person when the delivery to the delivery destination is completed.

(Regarding the receiving unit 232)
As described above, the instruction unit 137 of the determination device 100 instructs the delivery management server 200 to execute processing for delivering the ordered product from the target store determined by the determination unit 135 to the delivery destination. For example, the instruction unit 137 transmits determined store information to the delivery management server 200 as this instruction. Therefore, the reception unit 232 receives the determined store information from the determination device 100 when the target store is determined by the determination device 100 . In the example of FIG. 1, the receiving unit 232 receives the identification information of the user U1 who placed the order, the identification information indicating that the target store is the store A-1 (the store ID of the store A-1), and the identification information of the product PD1. Receive determined store information that includes

Note that, for example, when the determination device 100 determines the delivery route (for example, the determination unit 135 determines in the shop determination process), the reception unit 232 also receives route information indicating the delivery route from the determination device 100. may receive.

(Regarding the delivery control unit 233)
The delivery control unit 233 performs various controls related to delivery of ordered products. For example, when the target store is determined by the determination device 100, the delivery control unit 233 instructs the delivery person who visits after the determination of the target store to deliver the ordered product. For example, the delivery control unit 233 instructs by transmitting the determined store information received by the receiving unit 232 to the store terminal 30 of the target store. In the example of FIG. 1, the delivery control unit 233 sends determined store information including identification information indicating that the target store is store A-1 (store ID of store A-1) and identification information of product PD1 to store A-1. -1 store terminal 30.

Also, the delivery control unit 233 determines a delivery person to be in charge of delivery. Specifically, the delivery control unit 233 determines the delivery route for the delivery staff to head to the target store and reach the delivery destination from the target store, and determines the delivery staff responsible for the delivery along the determined delivery route. do. In addition, the delivery control unit 233 identifies suitable means of transportation (mobility) for the delivery staff. Further, when a plurality of different target stores are determined for a plurality of items ordered by one user, the delivery control unit 233 determines a store serving as a delivery base among the plurality of different target stores. In addition, the delivery control unit 233 gives incentives to the delivery destination of the ordered product.

(Regarding the instruction unit 234)
The instruction unit 234 instructs (requests) the delivery person to deliver the ordered product to the delivery destination. In the example of FIG. 1, for example, when the delivery control unit 233 determines that the delivery member D1 is in charge of delivering the ordered product PD1, the instructing unit 234 instructs the delivery member D1 to deliver the ordered product PD1 to the delivery destination. instruct (request) to deliver For example, the instruction unit 234 transmits instruction information indicating the ordered product PD1, the receiving store (store A-1), the delivery route, the delivery destination, and the orderer (user U1) to the delivery member terminal 20 of the delivery member D1.

[5. Processing procedure]
(About the overall flow)
Next, the procedure of store determination processing according to the embodiment will be described with reference to FIG. 9 . FIG. 9 is a flow chart showing the overall flow of the store determination procedure according to the embodiment. In the description of FIG. 9, it is assumed that the determining device 100 already has stock information about each physical store in the store information storage unit 121. FIG. For example, it is assumed that the determination device 100 has a shop information storage unit 121 with contents as shown in FIG.

First, the receiving unit 133 of the determination device 100 determines whether or not an order for a product has been received from the user (step S101). For example, the receiving unit 133 determines whether or not order information has been received from the user via the ZZmall as a product order. If the receiving unit 133 has not received an order (step S101; No), it waits until the order is received.

On the other hand, when the receiving unit 133 accepts the product order (step S101; Yes), the determining unit 135 performs store determination processing for determining a target store (step S102). For example, when the receiving unit 133 receives an order for a product (Step S101; Yes), the acquiring unit 134 acquires order information about the ordered product from the order information storage unit 122, and stores the acquired order information in the determining unit. 135. Accordingly, the determination unit 135 performs store determination processing. A detailed flow of store determination processing will be described with reference to FIG.

Next, the instruction unit 137 instructs the delivery management server 200 to execute processing for delivering the ordered product from the target store determined by the determination unit 135 to the delivery destination (step S103). For example, the instruction unit 137 transmits determined store information to the delivery management server 200 .

Next, the delivery control unit 233 of the delivery management server 200 notifies the target store determined by the determination device 100 (step S104). For example, the receiving unit 232 receives determined store information from the determining device 100 . Then, the delivery control unit 233 instructs the delivery person who visits later to deliver the ordered product as the target store is determined. For example, the delivery control unit 233 instructs by transmitting the determined store information received by the receiving unit 232 to the store terminal 30 of the target store.

In addition, the delivery control unit 233 performs delivery control of the ordered product (step S105). For example, the delivery control unit 233 determines a delivery person to be in charge of delivery of the ordered product. The delivery control unit 233 can also determine a delivery route. Then, the instruction unit 234 instructs the delivery person to deliver the ordered product to the delivery destination (step S106).

(About the detailed flow of the store decision procedure)
Next, the procedure of store determination processing according to the embodiment will be described with reference to FIG. 10 . FIG. 10 is a flowchart showing a detailed flow of store determination procedures according to the embodiment.

First, when the receiving unit 133 receives an order for a product (step S101 in FIG. 9; Yes), the obtaining unit 134 obtains order information about the ordered product from the order information storage unit 122 (step S201).

Upon receiving the order information from the acquisition unit 134, the determination unit 135 selects the ordered product from the candidate stores based on the order information and the "products handled" corresponding to each of the candidate stores stored in the store information storage unit 121. is specified (step S202).

Next, the determination unit 135 selects the ordered product from each store in time for the desired delivery date and time, based on the delivery destination and desired delivery date and time designated by the orderer user U1, and the location of each store. is extracted (step S203).

Next, the determining unit 135 selects a handling store located closer to the delivery destination among the extracted candidate stores based on the location of each of the extracted candidate stores and the delivery destination designated by the user who placed the order. is determined as the target store (step S204).

In the example of FIG. 10, the determination device 100 first extracts stores that are in positions where the ordered product can be delivered, and then selects stores located closer to the delivery destination among the extracted stores as target stores. I showed the order to decide. However, the decision device 100 does not necessarily have to perform the shop decision processing in such order. For example, the determining device 100 identifies a handling store located closer to the delivery destination among the handling stores, and determines whether the specified handling store is in a position where the ordered product can be delivered in time for the desired delivery date and time. It is possible to determine whether or not the product is available, and if the store is in a position where delivery is possible, the store may be determined as the target store. In addition, the determining device 100 specifies a handling store located closer to the delivery destination among the handling stores, and determines whether the specified handling store is in a position where the ordered product can be delivered in time for the desired delivery date and time. If it is determined whether or not the item is available, and if the item is not located at a location where delivery is possible, the target store may be determined by performing the same determination on the next closest store to the delivery destination.

[6. Modification]
The determination device 100 according to the above embodiment may be implemented in various different forms other than the above embodiment. Therefore, other embodiments of the determination device 100 will be described below.

[6-1. Multiple order items]
For example, a user may order multiple items. In such a case, the determination device 100 determines the target store for each ordered item. Specifically, the determination device 100 determines the target store by performing the above-described store determination processing for each ordered product. In this case, the determination device 100 may eventually determine a different target store for each ordered item, or may determine the same target store for all ordered items.

[6-2. Store decision processing before ordering]
Further, in the above-described embodiment, an example was shown in which the determination device 100 performs store determination processing to determine a target store when the user has ordered a product. However, the determination device 100 may perform the store determination process even before the user orders the product. For example, the determination device 100 may perform store determination processing at the stage of selecting a product at the ZZ mall, and distribute the product page P2 reflecting the result of the store determination processing.

In the example of FIG. 1, the user U1 performs a product search and selects the product PD1 from the search results, thereby receiving the product page P2 regarding the product PD1. Therefore, in this example, the determination device 100 performs store determination processing for the product PD1, for example, when the product PD1 is selected from the search results. In such a state, assuming that the user U1 has registered his/her address in advance, the determination device 100, for example, selects the target determined by the store determination process during the day when the user U1 selects the product (for example, until 17:00 on the day). It is determined whether or not the product PD1 can be delivered from the store to the registered address. If the determining device 100 determines that the product can be delivered, it distributes the product page P2 including a message such as "the product PD1 can be delivered today".

In general, the user wants to obtain the product as soon as possible. (willingness to purchase) can be enhanced.

Note that even if the deciding device 100 distributes the product page P2 including the above-described words, some users may specify the delivery destination and desired delivery date and time. , store determination processing may be performed.

[6-3. Store size (1)]
Further, the determination unit 135 may determine a store having a larger scale as the target store among the stores handling the product based on an index value indicating the degree of size of each predetermined physical store. In such a case, although not shown, the store information storage unit 121 further has an item of "index value" indicating the scale of the store. Examples of such "index values" include the number of products handled (inventory of each product handled), number of employees, number of types of products handled, store area (sales floor area), parking lot area, congestion status, etc. There is The number of products and the number of employees may be stored as "index values" as they are, or may be stored after being scored by an arbitrary method, for example.

In such a case, the determination unit 135 identifies a store that handles the product, for example, based on the order information and the “handling product” (stock information) in the store information storage unit 121 . Next, the determining unit 135 determines a target store from among the stores handling the product based on the “index value” in the store information storage unit 121 . For example, the determination unit 135 determines a store with a larger value indicated by the “index value”, that is, a store with a larger size, as the target store. Note that if there are multiple index values such as the number of products and the number of employees, the determination unit 135 may determine the target store using any one of the index values, or may determine the target store based on a plurality of usage values. A target store may be determined using a value (for example, a value obtained by multiplying a plurality of index values).

For example, the physical store that is the target store is actually small in scale and handles ordered products, but only a small number of items are purchased, and there is a case where the item is currently out of stock. In such a case, there is a problem that the ordered product cannot be delivered to the user. On the other hand, stores with a large store scale are so-called large-scale retail stores, and have a large store area and many employees. Of course, there are many assortments. As a result, such stores usually have sufficient inventory for each product, and out-of-stock is less likely to occur. Since the determining device 100 can preferentially set such large-scale stores as target stores, it is possible to prevent the above problems.

In addition, since there are many employees, it is considered that delivery to the delivery staff will be smoother, so that the determining device 100 can deliver the ordered product to the user more smoothly.

[6-4. Store size (2)]
In the above-described embodiment, an example was shown in which the determination unit 135 determines the target store from among the stores handling the product based on the desired delivery date and time. Specifically, an example in which the determination unit 135 determines, as the target store, a store located closer to the delivery destination among the stores that can deliver the ordered product in time for the desired delivery date and time. Indicated. However, based on the index value indicating the size of the store, the determination unit 135 determines, among the stores that can deliver the ordered product in time for the desired delivery date and time, the value indicated by the index value, for example, is larger. A handling store may be determined as a target store.

For example, assume that the desired delivery date and time designated by user U1 is the same day that the product PD1 was ordered. The shorter the span from the order date and time to the desired delivery date and time, the narrower the search range of the handling store for the determination device 100 . In other words, the determining apparatus 100 can identify fewer stores that can deliver the product PD1 in time for the desired delivery date and time. In such a case, the determination device 100 would like to determine a store with a larger index value as a target store in order to eliminate the risk of out of stock. is given priority, and as a result, a handling store located closer to the delivery destination is determined as the target store.

For example, suppose that the desired delivery date and time specified by the user U1 is the next day or one day after the date and time when the product PD1 is ordered, and there is time to spare. In such a case, the determination device 100 can expand the search range of stores that carry the products. In other words, the determining apparatus 100 can identify more shops that are in a position where the product PD1 can be delivered by the desired delivery date and time. In such a case, the determination device 100 does not need to give priority to making it in time for same-day delivery as described above, so that the risk of being out of stock can be eliminated. is determined as the target store. In such a case, the determination device 100 may determine, for example, the store C-1, which is farther from the delivery destination of the user U1 than the store A-1 but has a larger store scale, as the target store.

[6-5. Configuration of Decision Device]
In the above embodiment, the determination device 100 and the delivery management server 200 are described as separate devices. However, the determination device 100 and the delivery management server 200 may be combined into one device. For example, the determining device 100 may be configured as a single device by having the functions of the delivery management server 200 .

[7. Hardware configuration]
Also, the determination device 100 according to the above-described embodiments is implemented by a computer 1000 configured as shown in FIG. 11, for example. FIG. 11 is a hardware configuration diagram showing an example of a computer 1000 that implements the functions of the determination device 100. As shown in FIG. Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

HDD 1400 stores programs executed by CPU 1100 and data used by these programs. Communication interface 1500 receives data from other devices via communication network 50 and sends the data to CPU 1100 , and transmits data generated by CPU 1100 to other devices via communication network 50 .

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the determination device 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . In addition, data in storage unit 120 is stored in HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via communication network 50 .

[8. others〕
Of the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or all or part of the processes described as being manually performed. Part can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Moreover, each embodiment described above can be appropriately combined within a range in which the processing contents are not inconsistent.

[9. effect〕
The determination device 100 according to the embodiment has an acquisition unit 134 and a determination unit 135 . The acquisition unit 134 acquires order information, which is information about the ordered product ordered by the user, when the user orders the product in a predetermined electronic commerce service. Based on the order information acquired by the acquisition unit 134, the determination unit 135 selects a store that handles the ordered product among the predetermined actual stores, and selects a target store that provides the ordered product from among the products of the store. Determined as

As a result, the determining device 100 according to the embodiment can use the target store as a distribution center, so that, for example, there is no need to deliver products from a distant distribution center to a delivery destination. As such, the determination device 100 can smoothly deliver the ordered product to the user. In addition, the decision device 100 can also reduce the cost of delivery.

In addition, the acquisition unit 134 acquires order information including identification information for identifying the ordered product and user information about the user.

Thereby, the determination device 100 according to the embodiment can identify the store handling the ordered product.

In addition, the determining unit 135 determines that a storage facility for storing products sold through a predetermined electronic commerce service is not a storage facility dedicated to the predetermined electronic commerce service, but a predetermined physical store that handles ordered products. Determine the store that handles the product as the target store.

As a result, the determining device 100 according to the embodiment can use the target store as a distribution center, so that, for example, there is no need to deliver products from a distant distribution center to a delivery destination.

Further, the determination unit 135 determines the target store based on the inventory information regarding the products handled in each predetermined physical store.

Thereby, the determination device 100 according to the embodiment can identify the store handling the ordered product.

Further, the determining unit 135 determines, as target stores, stores that have a predetermined positional relationship with respect to the delivery destination specified by the user among the stores that carry the products, based on the store location information indicating the location of each of the predetermined actual stores. do.

Thereby, the determination device 100 according to the embodiment can determine a target store that can more smoothly deliver the ordered product to the user from among the stores that carry the item.

Further, the determination unit 135 determines, as the target store, a handling store located closer to the delivery destination specified by the user among the handling stores based on the store location information.

Thereby, the determination device 100 according to the embodiment can determine a target store that can more smoothly deliver the ordered product to the user from among the stores that carry the item.

In addition, the determination unit 135 selects the target from among the stores that carry the product based on the desired delivery date and time, which is the date and time that the ordered product is desired to be delivered to the delivery destination specified by the user. Decide on a store.

As a result, the determination device 100 according to the embodiment can determine the target store that can more smoothly deliver the ordered product to the user, and can improve the convenience of ordering the product.

In addition, based on the desired delivery date and time, the determination unit 135 selects, as target stores, handling stores that are in a position where the ordered product can be delivered to the delivery destination specified by the user so as to meet the desired delivery date and time. decide.

As a result, the determination device 100 according to the embodiment can determine the target store that can more smoothly deliver the ordered product to the user, and can improve the convenience of ordering the product.

Further, the determining unit 135 determines a store having a larger scale as a target store among the stores handling the product based on the index value indicating the scale of each predetermined physical store.

As a result, the determination device 100 according to the embodiment can prevent a situation in which, for example, the ordered product cannot be delivered to the user because it is out of stock.

Also, the determination device 100 according to the embodiment has a notification unit 136 . The notification unit 136 notifies information regarding an order for a product.

Thereby, the determination device 100 according to the embodiment can improve the convenience of product ordering.

In addition, the notification unit 136 notifies the scheduled arrival date and time of the ordered product ordered by the user as information related to the product order.

Thereby, the determination device 100 according to the embodiment can improve the convenience of product ordering.

Also, the determination device 100 according to the embodiment has an instruction unit 137 . The instruction unit 137 instructs delivery of the ordered product from the target store determined by the determination unit 135 to the delivery destination of the user.

As a result, the determination device 100 according to the embodiment can control delivery of the ordered product to the user.

As described above, the embodiments of the present application have been described in detail based on several drawings, but these are examples, and various modifications and It is possible to carry out the invention in other forms with modifications.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

1 store determination system 10 user terminal 20 delivery person terminal 30 store terminal 100 determination device 120 storage unit 121 store information storage unit 122 order information storage unit 123 decision information storage unit 130 control unit 131 display control unit 132 distribution unit 133 reception unit 134 acquisition Part 135 Decision Part 136 Notification Part 137 Instruction Part 138 Calculation Part 200 Delivery Management Server 220 Storage Part 221 Delivery Person Information Storage Part 230 Control Part 231 Reception Part 232 Reception Part 233 Delivery Control Part 234 Instruction Part

Claims (14)

an acquisition unit that acquires order information, which is information about the ordered product ordered by the user when the user orders the product in a predetermined electronic commerce service;
Based on the order information acquired by the acquisition unit, a store that handles the ordered product among predetermined physical stores is determined as a target store that provides the ordered product from the products of the handling store. a decision unit;
Based on the required time required for moving the delivery route from the target store to the delivery destination specified by the user, the delivery member is selected from among the delivery members based on the required time calculated based on the delivery member's transportation means. and a delivery control unit that determines a delivery person in charge of delivery of the ordered product to a destination. The determination device according to claim 1 , wherein the acquisition unit acquires the order information including identification information for identifying the ordered product and user information about the user. The determining unit is a storage facility where products sold in the predetermined e-commerce service are stored, and is not a storage facility dedicated to the predetermined e-commerce service, and the ordered product is handled in the predetermined physical store. The determination device according to claim 1 or 2 , wherein a store that carries the product is determined as the target store. The determination device according to any one of claims 1 to 3 , wherein the determination unit determines the target store based on inventory information regarding products handled at each of the predetermined actual stores. . The determination unit selects, from among the stores handling stores, a store having a predetermined positional relationship with a delivery destination designated by the user as the target store, based on store location information indicating the location of each of the predetermined physical stores. The decision device according to any one of claims 1 to 4 , characterized in that it decides as The determination unit determines, as the target store, a store located closer to a delivery destination specified by the user among the stores that carry the product, based on the store location information. 6. The determining device according to 5 . The determination unit selects a delivery date and time specified by the user based on the desired delivery date and time, which is a date and time when the ordered product is desired to be delivered to the delivery destination specified by the user. The determination device according to any one of claims 1 to 6 , wherein the target store is determined from. Based on the desired delivery date and time, the determination unit selects a handling store that is in a position where the ordered product can be delivered to a delivery destination designated by the user so as to meet the desired delivery date and time. The determination device according to claim 7 , wherein the store is determined as a target store. 3. The determination unit determines a store having a larger size among the stores handling the product as the target store, based on an index value indicating the degree of size of each of the predetermined physical stores. 9. A determining device according to any one of 1-8 . 10. The determination device according to any one of claims 1 to 9 , further comprising a notification unit for notifying the user of information regarding the order of the product. 11. The determination device according to claim 10 , wherein the notification unit notifies the scheduled arrival date and time of the ordered product ordered by the user as the information regarding the order of the product. 12. The method according to any one of claims 1 to 11 , further comprising an instruction unit that instructs delivery of the ordered product from the target store determined by the determination unit to the delivery destination of the user. decision device. A decision method executed by a decision device,
an acquisition step of acquiring order information, which is information about the ordered product ordered by the user when the user orders the product in a predetermined electronic commerce service;
Based on the order information acquired in the acquisition step, a store that handles the ordered product among predetermined physical stores is determined as a target store that provides the ordered product from the products of the handling store. a decision process;
Based on the required time required for moving the delivery route from the target store to the delivery destination specified by the user, the delivery member is selected from among the delivery members based on the required time calculated based on the delivery member's transportation means. and a delivery control step of determining a delivery person to be in charge of delivering the ordered product to a destination. an acquisition procedure for acquiring order information, which is information about the ordered product ordered by the user when the user orders the product in a predetermined electronic commerce service;
Based on the order information acquired by the acquisition procedure, a store that handles the ordered product among predetermined physical stores is determined as a target store that provides the ordered product from among the products of the store. a decision procedure;
Based on the required time required for moving the delivery route from the target store to the delivery destination specified by the user, the delivery member is selected from among the delivery members based on the required time calculated based on the delivery member's transportation means. A determination program for causing a computer to execute a delivery control procedure for determining a delivery person in charge of delivering the ordered product to a destination.

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