JP7414454B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

2. Description of the Related Art Conventionally, in electronic commerce such as online shopping, an information processing system is known that allows multiple products purchased together to be delivered together. In this way, by having multiple products purchased together delivered together, the user can save the trouble of receiving packages for each individual product multiple times.

JP 2017-220128 Publication

However, with the above-mentioned conventional technology, multiple products can only be shipped together if they are purchased together at the same store. Therefore, in online shopping malls where users can shop at multiple different stores, even if multiple items are purchased from different stores, they cannot be shipped together. It took a lot of time to receive my luggage.

The present application has been made in view of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can save users from having to repeatedly receive packages for each individual product. shall be.

The information processing device according to the present application includes a storage unit, an acquisition unit, and a provision unit. The storage unit stores warehouse information that is information regarding a plurality of products stored in each warehouse and a plurality of stores that sell the stored products. The acquisition unit acquires information regarding a product that the user plans to purchase at one store. The providing unit selects the scheduled purchase item from among the products sold at a store different from the one store, based on the warehouse information stored in the storage unit and the planned purchase item acquired by the acquisition unit. A bundleable product that can be delivered together with a product is determined, and information regarding the bundleable product is provided to the user.

According to one aspect of the embodiment, it is possible to provide an information processing device, an information processing method, and an information processing program that can save a user from having to repeatedly receive packages for each individual product.

FIG. 1 is an explanatory diagram showing an example of an information processing method according to an embodiment. FIG. 2 is an explanatory diagram showing an example of the configuration of the information processing system according to the embodiment. FIG. 3 is an explanatory diagram showing an example of the configuration of the information processing device according to the embodiment. FIG. 4 is an explanatory diagram showing an example of the warehouse information storage unit according to the embodiment. FIG. 5 is an explanatory diagram showing an example of the user information storage unit according to the embodiment. FIG. 6 is an explanatory diagram illustrating an example of an information processing method according to a modification of the embodiment. FIG. 7 is an explanatory diagram illustrating an example of an information processing method according to a modification of the embodiment. FIG. 8 is an explanatory diagram illustrating an example of an information processing method according to a modification of the embodiment. FIG. 9 is a flowchart illustrating processing executed by the control unit of the information processing device according to the embodiment. FIG. 10 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device according to the embodiment.

DESCRIPTION OF THE PREFERRED EMBODIMENTS An information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail below with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Moreover, each embodiment can be combined as appropriate within the range that does not conflict with the processing contents. Further, in each of the embodiments below, the same parts are given the same reference numerals, and redundant explanations will be omitted.

[1. Information processing method]
First, an information processing method performed by the information processing apparatus 1 according to the embodiment will be described. FIG. 1 is an explanatory diagram showing an example of an information processing method according to an embodiment.

The information processing device 1 is an information processing device operated by an administrator who manages an electronic shopping mall on a network N (see FIG. 2). An electronic shopping mall is a service that brings together online shops provided by various businesses and improves convenience by unifying product searches and payment processing, and is also referred to as an electronic mall or shopping mall. Ru.

The information processing device 1 provides users with content related to the electronic shopping mall (for example, a website including a portal page of the electronic shopping mall, a store page of each store opening in the electronic shopping mall, etc.).

Further, the information processing device 1 performs various processes in accordance with requests received from stores opening in the online shopping mall. In the following, the name of the business that operates the shopping service will be referred to as "S Shopping."

The user terminal 2 is, for example, a mobile terminal device such as a smartphone or a tablet terminal that can use the online shopping mall via the network N. A user using the electronic shopping mall, for example, displays and browses the portal page of the electronic shopping mall on the display unit 2a of the user terminal 2, and searches for and orders desired products.

Here, the information processing device 1 implements the following steps in order to save the user who uses the online shopping mall from having to repeatedly receive packages for each individual product.

First, the information processing device 1 acquires, via the user terminal 2, information regarding a product that the user plans to purchase (hereinafter also referred to as a "product to be purchased") at one store in the online shopping mall. Step S1). For example, as shown in the lower left diagram of Figure 1, if there is a product that the user wants to purchase in S-shopping, the user moves that product (product A1 in Figure 1) to the shopping cart (virtual shopping cart), and then Proceed to order processing for such products.

In this way, when the user moves a product that the user wants to purchase to the shopping cart, the information processing device 1 regards the product moved to the shopping cart as a product to be purchased, and acquires information regarding the product. For example, the information processing device 1 acquires information regarding the product ID of the product to be purchased, the store that handles the product (store A in FIG. 1), and the like.

Next, the information processing device 1 selects a warehouse X that has the product to be purchased in stock, based on warehouse information regarding the warehouse X where products handled in the online shopping mall are stored (step S2). Specifically, with reference to the warehouse information storage unit 121 in which warehouse information regarding warehouse X is stored, warehouse X in which the product to be purchased is in stock is selected.

For example, in the example shown in FIG. 1, among warehouses X1, X2, etc. where products handled in S shopping are stored, warehouse X1 has stock of product A1 handled by store A, so the information processing device 1 , selects such warehouse X1.

Here, in warehouse X (for example, warehouse Products B1, B2, C1, C2, etc. of stores B and C, which are open in the online shopping mall and are different from store A, are also stored.

As long as the products are stored in the same warehouse X, even if the products are handled in different stores, they can be packaged together in the warehouse X and then shipped to the user.

Therefore, based on the warehouse information stored in the warehouse information storage unit 121, the information processing device 1 sends the products that are sold together with the planned purchase product among the products sold at a store different from the store that handles the planned purchase product. Information regarding possible products (hereinafter also referred to as "products that can be bundled") is provided to the user (step S3).

For example, as shown in the lower right diagram of FIG. Information regarding possible products (products B1, B2, C1, C2, . . . ) is provided to the user.

That is, the user can obtain information regarding products that can be shipped together, even if the products are handled in a store different from the store that handles the product planned for purchase. Therefore, according to the embodiment, by the user purchasing the planned purchase product and the product that can be bundled together, the user can save the trouble of receiving packages for each individual product multiple times.

In addition, in the embodiment, even if the products are handled in different stores within the online shopping mall, multiple products shipped from the same warehouse can be reduced.

Further, in the embodiment, when a user purchases a planned purchase product and a product that can be bundled together, a predetermined incentive may be provided to the user. For example, as shown in the lower right diagram of Figure 1, when you purchase a product you plan to purchase together with a product that can be bundled together, you may receive an incentive such as a discount on the shipping fee (for example, ``If you purchase the items together, shipping is free!''). It would be good to provide it.

In this way, by providing incentives to users, it is possible to motivate users who use the online shopping mall to deliver multiple products at once. Therefore, according to the embodiment, it is possible to reduce the burden on the delivery company because the probability that a plurality of products will be delivered at once increases.

Note that although the example in FIG. 1 shows an example in which a discount on delivery charges is provided as an incentive, what is provided as an incentive is not limited to a discount on delivery charges. Incentives provided to users include, for example, discounts on shipping fees, campaigns to discount products, the provision of points that can be used to purchase products, and the provision of coupons that can be used to receive discounts on product purchases. It is preferable that at least one of them is included.

By providing the above-mentioned incentives to the user, it is possible to allow the user to use the online shopping mall again at a later date. The above-mentioned incentives provided to the user are set according to conditions set in advance by the administrator of the online shopping mall, etc., with reference to the user's qualification information, planned purchase products, products that can be bundled, etc. Good.

For example, when the user is a premium member of an online shopping mall, the information processing device 1 can provide higher incentives than when the user is a regular member of the online shopping mall. Further, when the purchase price of the planned purchase product and the product that can be bundled is more than a predetermined amount, the information processing device 1 provides a higher incentive than when the purchase price of the planned purchase product and the product that can be bundled is lower than the predetermined amount. can be provided.

[2. Information processing system configuration]
Next, with reference to FIG. 2, the configuration of the information processing system 100 according to the embodiment will be described. FIG. 2 is an explanatory diagram showing an example of the configuration of the information processing system 100 according to the embodiment. As shown in FIG. 2, the information processing system 100 according to the embodiment includes an information processing device 1 and a user terminal 2.

The information processing device 1 is, for example, a server, and acquires information regarding products that the user plans to purchase from the user terminal 2 . Further, the information processing device 1 selects a warehouse X where the product to be purchased is in stock, and provides the user terminal 2 with information regarding bundleable products that are in stock at the warehouse X.

The user terminal 2 is a portable wireless terminal such as a smartphone or a tablet terminal. Note that the user terminal 2 may be a PDA (Personal Digital Assistant), a desktop PC (Personal Computer), a notebook PC, or the like. These information processing device 1 and user terminal 2 are connected via a network (for example, the Internet) N by, for example, wireless LAN (Local Area Network) communication, WAN (Wide Area Network) communication, mobile phone communication, etc. Various information can be communicated between the two sides.

[3. Configuration of information processing device]
Next, with reference to FIG. 3, the configuration of the information processing device 1 according to the embodiment will be described. FIG. 3 is an explanatory diagram showing an example of the configuration of the information processing device 1 according to the embodiment. As shown in FIG. 3, the information processing device 1 includes a communication section 11, a storage section 12, and a control section 13. Note that the information processing device 1 includes an input unit (for example, a keyboard, a mouse, etc.) that accepts various operations from an administrator using the information processing device 1, and a display unit (for example, a liquid crystal display) for displaying various information. etc.).

(About communication department 11)
The communication unit 11 is realized by, for example, a NIC (Network Interface Card). The communication unit 11 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the user terminal 2 via the network N.

(About the storage unit 12)
The storage unit 12 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 3, the storage unit 12 includes a warehouse information storage unit 121, a user information storage unit 122, and a model information storage unit 123.

(About warehouse information storage unit 121)
The warehouse information storage unit 121 stores warehouse information regarding the warehouse X where products handled in the online shopping mall are stored. For example, the warehouse information storage unit 121 stores information about each store that opens in the online shopping mall and the products in stock at each store. FIG. 4 is an explanatory diagram showing an example of the warehouse information storage unit 121 according to the embodiment.

In the warehouse information storage unit 121 shown in FIG. 4, store IDs and inventory product IDs are registered in association with each other. Further, as shown in FIG. 4, the warehouse information storage unit 121 has different warehouse information storage units 121a, 121b, 121c, . . . for each warehouse X1, X2, X3, .

Here, the store ID is an identifier for identifying a store opening in an online shopping mall. The stock product ID is an identifier for identifying the stock product of the store indicated by the associated store ID. Note that the warehouse information storage unit 121 may include information regarding the name of the stock product indicated by the stock product ID, the number of stock items, and the like.

(About user information storage unit 122)
The user information storage unit 122 stores information regarding users acquired from the user terminal 2 and the like. FIG. 5 is an explanatory diagram showing an example of the user information storage unit 122 according to the embodiment. As shown in FIG. 5, user ID, account information, qualification information, address information, attribute information, and purchased product history information are registered in the user information storage unit 122 in association with each other.

Here, the user ID is an identifier for identifying a user. The account information indicates information regarding the user's account issued by the online shopping mall to the user indicated by the associated user ID.

The qualification information indicates information regarding qualifications that the user indicated by the associated user ID has in the online shopping mall. The address information indicates information regarding the address of the user indicated by the associated user ID.

The attribute information indicates information regarding the attributes of the user indicated by the associated user ID (for example, demographic attribute information or psychographic attribute information). Purchased product history information indicates information regarding the history of products purchased by the user indicated by the associated user ID at each store in the online shopping mall.

(About model information storage unit 123)
The model information storage unit 123 stores information regarding learning. For example, the model information storage unit 123 stores model information generated by a generation unit 133, which will be described later. For example, the model information storage unit 123 is realized by an arbitrary classifier such as an SVM (Support Vector Machine) or a DNN (Deep Neural Network). Here, the DNN may be a CNN (Convolutional Neural Network) or an RNN (Recurrent Neural Network). Further, the RNN may be LSTM (Long short-term memory) or the like.

(About the control unit 13)
The control unit 13 is a controller, and for example, executes various programs (information processing programs) stored in a storage device inside the information processing device 1 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), etc. (corresponding to one example) is realized by being executed using RAM as a work area. Further, the control unit 13 is, for example, a controller, and is realized 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 13 includes an acquisition unit 131, a selection unit 132, a generation unit 133, and a provision unit 134, and realizes or executes information processing functions and operations described below. Note that the internal configuration of the control unit 13 is not limited to the configuration shown in FIG. 3, and may be any other configuration as long as it performs information processing to be described later.

(About the acquisition unit 131)
The acquisition unit 131 acquires various information. For example, the acquisition unit 131 acquires information regarding a product that the user plans to purchase from the user terminal 2 . Further, when the user purchases the planned purchase product, the acquisition unit 131 registers information regarding the purchased product in the purchased product history of the user information storage unit 122.

(About the selection section 132)
The selection unit 132 selects a warehouse X in which the product to be purchased is in stock, based on the information regarding the product to be purchased by the user acquired by the acquisition unit 131 and the warehouse information stored in the warehouse information storage unit 121. Note that the selection method when there are multiple warehouses X in stock of the product scheduled for purchase will be described later.

(About the generation unit 133)
The generation unit 133 executes machine learning based on information in which multiple products purchased together by the same user are associated with each other in each store in the online shopping mall, and generates products that were purchased together in the online shopping mall. Generate a learning model for. The generation unit 133 stores information about the generated learning model in the model information storage unit 123.

Note that the generation unit 133 may perform machine learning by adding information regarding the attributes of users who purchased multiple products together, and generate a learning model to which information regarding the attributes of the users is added.

(About the providing unit 134)
Based on the warehouse information stored in the warehouse information storage unit 121, the providing unit 134 selects a product that can be delivered together with the product to be purchased among products sold at a store different from the store that handles the product to be purchased. Provide users with information about packable products. For example, the providing unit 134 can determine bundled products to provide information to the user from a learning model using the planned purchase product as input information.

In this way, by determining products that can be bundled together based on a learning model for products purchased together on an online shopping mall, we can estimate the probability that a user will purchase the product they plan to purchase together with a product that can be bundled together. can be increased.

Further, the providing unit 134 may determine products that can be bundled based on the learning model using information regarding the attributes of the user who selected the product to be purchased as additional input information. In this way, by adding information related to the user's context to determine products that can be bundled, it is possible to further increase the probability that the user will purchase the product planned for purchase and the product that can be bundled together.

Furthermore, the providing unit 134 may determine products that can be bundled based on the user's purchased product history stored in the user information storage unit 122. In this way, by determining the products that can be bundled based on the user's past purchase history, it is possible to increase the probability that the user will purchase the product planned for purchase and the product that can be bundled together.

Further, the providing unit 134 may determine products that can be bundled based on rules set in advance by the administrator, for example. Thereby, products that can be bundled can be determined depending on the circumstances of the online shopping mall, product manufacturer, etc.

[4. Modified example]
The information processing device 1 according to the embodiment described above may be implemented in various different forms other than the embodiment described above. Therefore, other embodiments of the information processing device 1 will be described below.

[4-1. If there are multiple warehouses that have the product you plan to purchase in stock]
In the above-described embodiment, a case is described in which there is only one warehouse X in which the product scheduled for purchase is in stock. On the other hand, even in the same store in an online shopping mall, inventory may be managed by region in multiple warehouses X, so it is possible that there may be multiple warehouses X that have the product to be purchased in stock. Therefore, such a case will be explained with reference to FIG. 6.

FIG. 6 is an explanatory diagram illustrating an example of an information processing method according to a modification of the embodiment. As shown in FIG. 6, when the product to be purchased (product A1 of store A in FIG. 6) is in stock in multiple warehouses X1 and X3, the information processing device 1 selects the warehouse X3 that is closer to the user's home M. (Step S11).

Then, the information processing device 1 provides information regarding products that can be bundled in the selected warehouse X3 (in FIG. 6, products G1, G2, H1, H2, etc. in store G and store H) (step S12).

In this way, by selecting the warehouse X3 that is closer to the user's home M, it is possible to shorten the delivery route for the products scheduled to be purchased and the products that can be shipped together. Therefore, according to the modification, the delivery efficiency of the delivery company can be improved.

Note that if there are multiple warehouses X that have the product scheduled for purchase in stock, the information processing device 1 may select a warehouse X that is farther from the user's home M. For example, if a warehouse can do.

Thereby, the information processing device 1 can increase the probability that the user will purchase the planned purchase product and the bundled product together.

[4-2. When the user completes the order process for the product they plan to purchase〕
In the above-described embodiment, the processing is described when the user moves the product planned for purchase to the shopping cart, but even if the user completes the order process for the product planned for purchase, the information processing device 1 performs the same process. Information regarding packable products can be provided to the user.

FIG. 7 is an explanatory diagram illustrating an example of an information processing method according to a modification of the embodiment. For example, as shown in FIG. 7, even when the user completes the order process for the product to be purchased (product A1 from store A in FIG. 7), the information processing device 1 processes the order for the product that can be bundled (product A1 from store A in FIG. 7). and products B1, B2, C1, C2, . . . ) of store C can be provided to the user.

Further, when the user completes the order process for the product planned to be purchased, the information processing device 1 provides information regarding the product that can be bundled together, as well as information regarding the deadline by which the product can be shipped together with the product planned to be purchased (for example, , "Free shipping if you order the above products within 30 minutes!") may be provided to the user.

As a result, it is possible to suppress delays in shipping of products to be purchased for which order processing has been completed. Note that the deadline by which a product that can be bundled can be delivered together with a product to be purchased can be determined as appropriate depending on the packaging process, shipping process, etc. within the warehouse X. Specifically, based on information such as the shipping time predetermined for each individual warehouse A possible deadline can be provided to the user. Note that information such as the shipping time and reception time for each warehouse X can be registered in advance in the warehouse information storage section 121. For example, the deadline may be a predetermined deadline that allows the delivery company to ship from warehouse X on the same day the order is processed.

Furthermore, when the deadline for shipping a bundling-enabled product in a package with a scheduled purchase product approaches, the information processing device 1 may send push notification of information regarding the deadline to the user terminal 2 or the like. Thereby, it is possible to prevent the deadline from passing without the user being aware of it.

[4-3. If the user continues shopping]
In the above-described embodiment, the process was described when the user moved the planned purchase product to the shopping cart, but even if the user continues shopping after moving the planned purchase product to the shopping cart, the information The processing device 1 can provide the user with information regarding products that can be bundled.

FIG. 8 is an explanatory diagram illustrating an example of an information processing method according to a modification of the embodiment. For example, as shown in the left diagram of FIG. 8, after the user moves the product to be purchased (product A1 from store A in FIG. 8) to the shopping cart, as shown in the right diagram of FIG. Assume that you search for products in an online shopping mall using keywords.

In this case, as shown in FIG. 8, in addition to product information for skirts in each store displayed as a search result, the information processing device 1 provides information ( In FIG. 8, icon I) is displayed.

In this way, by indicating that the product that the user views in the online shopping mall is a product that can be bundled, it is possible to increase the probability that the user will purchase the product that the user plans to purchase and the product that can be bundled together.

Note that the above-mentioned information indicating that bundling is possible is not limited to being attached to products that can be bundled, but may also be attached to the store page of a store that handles products that can be bundled. . Further, the above-mentioned information indicating that bundling is possible is not limited to the icon I, and may be any information that allows the user to recognize that bundling is possible.

[4-4. Determination of products that can be bundled based on product size]
Furthermore, the information processing device 1 may determine products that can be bundled based on the size of the products. Specifically, based on size information regarding the size of each product handled in the online shopping mall, products whose size when combined with the planned purchase product is less than a predetermined size can be determined as products that can be bundled. can. As a result, it is possible to prevent the burden on the user from increasing significantly due to shipping charges that would otherwise be caused by bundling products that can be bundled together.

Note that the above-mentioned predetermined size may be set in advance by the user or the administrator of the online shopping mall, or may be set as appropriate based on the size of the product to be purchased. When setting based on the size of the product to be purchased, for example, a size that can be accommodated in a shipping box determined based on the size of the product to be purchased can be set as the predetermined size. Further, size information indicating the size of each product handled in the online shopping mall can be registered in advance in the storage unit 12.

[5. Processing procedure]
Next, with reference to FIG. 9, the processing executed by the control unit 13 of the information processing device 1 will be described. FIG. 9 is a flowchart showing processing executed by the control unit 13 of the information processing device 1 according to the embodiment.

As shown in FIG. 9, the control unit 13 first obtains information regarding the product to be purchased from the user terminal 2 (step S101). Next, the control unit 13 determines whether there are a plurality of warehouses X that have the product scheduled for purchase in stock (step S102).

Then, if there is not a plurality of warehouses X in which the product to be purchased is in stock (step S102, No), that is, if there is only one warehouse X in which the product to be purchased is in stock, the control unit 13 controls the A certain warehouse X is selected (step S103).

Then, the control unit 13 provides the user terminal 2 with information regarding bundleable products that can be bundled with the planned purchase product based on the warehouse information stored in the warehouse information storage unit 121 of the selected warehouse X ( Step S104), the process ends.

On the other hand, if there are a plurality of warehouses X that have the product to be purchased in stock (step S102, Yes), the control unit 13 selects a warehouse X closer to the user's home M from among the plurality of warehouses X (step S105). The process advances to step S104.

[6. Hardware configuration]
Note that the information processing device 1 in the embodiment is realized by a computer 50 having a configuration as shown in FIG. 10, for example. FIG. 10 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device 1. The computer 50 includes a CPU (Central Processing Unit) 51, a RAM (Random Access Memory) 52, a ROM (Read Only Memory) 53, an HDD (Hard Disk Drive) 54, a communication interface (I/F) 55, and an input/output interface (I/F). /F) 56, and a media interface (I/F) 57.

The CPU 51 operates based on a program stored in the ROM 53 or the HDD 54 and controls each part. The ROM 53 stores a boot program executed by the CPU 51 when the computer 50 is started, programs depending on the hardware of the computer 50, and the like.

The HDD 54 stores programs executed by the CPU 51 and data used by the programs. The communication interface 55 corresponds to the communication unit 11, receives data from other devices via the network N, sends it to the CPU 51, and sends data generated by the CPU 51 to the other devices via the network N.

The CPU 51 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse via an input/output interface 56. The CPU 51 obtains data from an input device via the input/output interface 56. Further, the CPU 51 outputs the generated data to an output device via the input/output interface 56.

The media interface 57 reads programs or data stored in the recording medium 58 and provides them to the CPU 51 via the RAM 52. The CPU 51 loads the program from the recording medium 58 onto the RAM 52 via the media interface 57, and executes the loaded program. The recording medium 58 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disk), 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 50 functions as the information processing device 1 according to the embodiment, the CPU 51 of the computer 50 realizes the functions of the control unit 13 by executing a program loaded onto the RAM 52. Furthermore, the data in the storage unit 12 is stored in the HDD 54 . The CPU 51 of the computer 50 reads these programs from the recording medium 58 and executes them, but as another example, these programs may be acquired from another device via the network N.

[7. others〕
Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the process can also be performed automatically using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured.

For example, in the above embodiment, an example is shown in which products handled by stores B, C, etc., which are located on the same electronic shopping mall as store A, are provided as information that can be bundled. However, the above embodiment is not limited to such an example, and if the product can be shipped together with the product to be purchased, information is provided regarding the product handled by a store located in an electronic shopping mall different from Store A as a product that can be bundled. Alternatively, information may be provided on products handled by stores that operate individual online shops without opening a store in an online shopping mall as products that can be bundled.

Further, the embodiments described above can be combined as appropriate within the range that does not conflict with the processing contents.

[8. effect〕
As described above, the information processing device 1 according to the embodiment includes the acquisition section 131 and the provision section 134. The acquisition unit 131 acquires information regarding a product that a user plans to purchase at a store. Based on the warehouse information regarding the warehouse Provide information to users.

Thereby, the information processing device 1 can save the user from having to repeatedly receive packages for each individual product.

Furthermore, in the information processing device 1 according to the embodiment, the providing unit 134 provides the user with information regarding the deadline by which the bundled product can be shipped together with the planned purchase product.

Thereby, the information processing device 1 can suppress the delay in shipping of the scheduled purchase product for which the order processing has been completed.

Furthermore, in the information processing device 1 according to the embodiment, the providing unit 134 sends a push notification to the user of information regarding the delivery deadline.

Thereby, the information processing device 1 can prevent the expiration of the deadline for the bundling-enabled product to be shipped together with the planned purchase product, without the user being aware of it.

Furthermore, in the information processing device 1 according to the embodiment, the providing unit 134 provides an incentive to the user when the planned purchase product and the product that can be bundled are purchased together.

Thereby, the information processing device 1 can reduce the burden on the delivery company.

Further, in the information processing device 1 according to the embodiment, incentives include discounts on shipping charges, implementation of campaigns to discount products, provision of points that can be used for product purchases, and receiving discounts on product purchases. At least one of the coupons provided is included.

This allows users who have purchased the planned purchase product and the product that can be bundled together to use the online shopping mall again at a later date.

In addition, in the information processing device 1 according to the embodiment, when there are multiple warehouses in which the planned purchase product is in stock, the provision unit 134 selects the planned purchase product stored in the warehouse X located closer to the user's address. To provide users with information regarding bundled products that can be shipped together.

Thereby, the information processing device 1 can improve the delivery efficiency of the delivery company.

Further, in the information processing device 1 according to the embodiment, the providing unit 134 provides information to the user based on a model learned from information in which a plurality of products purchased together by the same user are associated with each other in each store. Determine the products for which information will be provided as products that can be bundled.

Thereby, the information processing device 1 can increase the probability that the user will purchase the planned purchase product and the bundled product together.

Furthermore, in the information processing device 1 according to the embodiment, the providing unit 134 provides products whose size when combined with the product to be purchased is less than or equal to a predetermined size, based on size information regarding the sizes of products handled in each store. Determined as a product that can be bundled.

Thereby, the information processing device 1 can suppress a significant increase in shipping charges and an increase in the burden on the user by bundling products that can be bundled.

Further, in the information processing device 1 according to the embodiment, the store and different stores are opened in the same electronic shopping mall.

As a result, products purchased from two stores operating on the same online shopping mall can be delivered together, thereby increasing the convenience of the online shopping mall.

Although the embodiments of the present application have been described above in detail based on the drawings, this is merely an example, and various modifications and improvements can be made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure section of the invention. It is possible to implement the invention in other forms.

Further, the above-mentioned "section, module, unit" can be read as "means", "circuit", etc. For example, the providing unit can be read as providing means or providing circuit.

1 Information processing device 2 User terminal 11 Communication unit 12 Storage unit 13 Control unit 121 Warehouse information storage unit 122 User information storage unit 123 Model information storage unit 131 Acquisition unit 132 Selection unit 133 Generation unit 134 Providing unit

Claims (10)

a storage unit that stores warehouse information that is information about a plurality of products stored in each warehouse and a plurality of stores that sell the plurality of stored products;
an acquisition unit that acquires information about a product that a user plans to purchase in one store;
Based on the warehouse information stored in the storage unit and the planned purchase product acquired by the acquisition unit, among the products sold at a store different from the one store, bundled with the planned purchase product a providing unit that determines bundled products that can be delivered in accordance with a rule base set in advance by an administrator, and provides information regarding the bundled products to the user;
Equipped with
The provision department is
when the bundled product is displayed on the user terminal, displaying information indicating that the bundled product can be shipped together with the planned purchase product;
If there are multiple warehouses that have the product to be purchased in stock, select the product stored in the warehouse closest to the user's address among the multiple warehouses, and then select the product stored in the warehouse that is not closest to the user's address. If the probability that the stored product will be purchased together with the scheduled purchase product is higher than a predetermined threshold , determining the product stored in a warehouse that is not closest to the user's address as the product that can be bundled. An information processing device characterized by: The provision department is
The information processing apparatus according to claim 1, further comprising: providing the user with information regarding a deadline by which the bundled product can be shipped together with the planned purchase product. The provision department is
The information processing apparatus according to claim 2, further comprising a push notification to the user of information regarding the deadline when the delivery is possible. The provision department is
The information processing according to any one of claims 1 to 3, wherein an incentive is provided to the user when the planned purchase product and the bundled product are purchased in a bundled manner. Device. The incentives include at least one of the following: discounts on shipping fees, running campaigns to discount products, giving points that can be used to purchase products, and giving coupons that can be used to receive discounts on product purchases. The information processing device according to claim 4, characterized in that: The provision department is
In each store, a product to be provided with information as the bundleable product to the user is determined based on a model learned from information in which a plurality of products purchased together by the same user are associated with each other. The information processing device according to any one of claims 1 to 5. The provision department is
Claim 1: Based on size information regarding the sizes of products handled in each store, products whose size when combined with the planned purchase product is smaller than or equal to a predetermined size are determined as the products that can be bundled. The information processing device according to any one of items 1 to 6. The information processing device according to any one of claims 1 to 7, wherein the one store and the different store are located in the same electronic shopping mall. An information processing method performed by a computer, the method comprising:
a storage step of storing warehouse information that is information regarding a plurality of products stored in each warehouse and a plurality of stores that sell the plurality of stored products;
an acquisition step of acquiring information about a product that a user plans to purchase in one store;
Based on the warehouse information stored in the storage step and the planned purchase product acquired in the acquisition step, among the products sold at a store different from the one store, bundled with the planned purchase product a providing step of determining bundable products that can be delivered in accordance with a rule base set in advance by an administrator, and providing information regarding the bundling products to the user;
including;
The providing step includes:
when the bundled product is displayed on the user terminal, displaying information indicating that the bundled product can be shipped together with the planned purchase product;
If there are multiple warehouses that have the product to be purchased in stock, select the product stored in the warehouse closest to the user's address among the multiple warehouses, and then select the product stored in the warehouse that is not closest to the user's address. If the probability that the stored product will be purchased together with the scheduled purchase product is higher than a predetermined threshold , determining the product stored in a warehouse that is not closest to the user's address as the product that can be bundled. An information processing method characterized by: a storage procedure for storing warehouse information that is information about a plurality of products stored in each warehouse and a plurality of stores that sell the plurality of stored products;
an acquisition procedure for acquiring information about a product planned to be purchased by a user in one store;
Based on the warehouse information stored by the storage procedure and the planned purchase product acquired by the acquisition procedure, among the products sold at a store different from the one store, bundled with the planned purchase product a provision step of determining bundable products that can be delivered in accordance with a rule base set in advance by an administrator, and providing information regarding the bundling products to the user;
make the computer run
The provision procedure is as follows:
when the bundled product is displayed on the user terminal, displaying information indicating that the bundled product can be shipped together with the planned purchase product;
If there are multiple warehouses that have the product to be purchased in stock, select the product stored in the warehouse closest to the user's address among the multiple warehouses, and then select the product stored in the warehouse that is not closest to the user's address. If the probability that the stored product will be purchased together with the scheduled purchase product is higher than a predetermined threshold , determining the product stored in a warehouse that is not closest to the user's address as the product that can be bundled. An information processing program featuring:

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