JP2022077461A - Delivery management server, delivery management method, and delivery management program - Google Patents

Abstract

To provide a system that can provide a product in accordance with a user's preference at a location of a user's choice and during the time of receipt of the same.SOLUTION: A delivery management server that manages products arranged in a delivery booth. A delivery booth 100 includes a product shelf 160, a frame 110, connected to the product shelf to enclose the product shelf, an entrance/exit 180, for entering/exiting the frame, and a booth terminal 150, having an entrance/exit processing unit that executes the entrance/exit process on the entrance/exit. The delivery management server has a product reception unit that accepts orders for products from users via user terminals and an authentication processing unit for authenticating users and transmitting results of the authentication to the booth terminal. The entrance/exit processing unit of the booth terminal performs entrance processing when a user is authenticated by the authentication processing unit and performs exit processing after a user removes a product from the product shelf inside the frame of the delivery booth and steps outside the frame of the delivery booth.SELECTED DRAWING: Figure 1

Description

The present invention relates to a delivery management server, a delivery management method, and a delivery management program.

Nowadays, stores called convenience stores are existing in each region. In particular, in urban areas, there are multiple convenience stores in office areas and near residences.
On the other hand, a sales system for unmanned sales of bento boxes, drinking water, socks, etc. has been installed.
As a background technique in this technical field, there is Japanese Patent Application Laid-Open No. 2017-219994 (Patent Document 1). This gazette states, "Providing an automatic sales system capable of providing products tailored to a customer's taste. An automatic sales system 1 including a vending machine 20 and a customer management server 40. The vending machine. 20 transmits the personal identification information α for identifying the customer and the sales machine identification information β indicating itself, which are read from the portable recording medium 10, to the customer management server 40, and the customer's preference corresponding to the personal identification information α. The information γ is received from the customer management server 40 and the product is sold based on the preference information γ, and the customer management server 40 receives the personal identification information α and the vending machine identification information β and corresponds to the personal identification information α. The preference information γ regarding the product sold by the vending machine 20 corresponding to the customer's vending machine identification information β is generated, and the preference information γ is transmitted to the vending machine 20 ”(see summary).

Japanese Unexamined Patent Publication No. 2017-2994

For example, with regard to food, there are tastes, and there are differences in physical condition, weather, and the like. However, at convenience stores, the products they sell are mostly fixed. Therefore, it is not possible to provide products that meet the ever-changing tastes of users.
Moreover, even if the number of convenience stores increases, they do not always exist near the users, and the convenience store operation is costly and may be closed.
Since Patent Document 1 is a vending machine that allows only products that correspond to tastes to be selected, the products to be selected are eventually limited to products that are stored in the vending machine in advance and are limited to some extent.

The present invention has been made to solve the above problems, and according to the present invention, a system capable of providing a product according to a user's taste to a place desired by the user at the receiving time zone is provided. ..

In order to solve the above problems, for example, the configuration described in the claims is adopted.
The present application includes a plurality of means for solving the above problems, and one example thereof is a delivery management server that manages products arranged in a delivery booth, wherein the delivery booth includes a product shelf and the product. A frame body connected to the product shelf so as to surround the shelf, an entrance / exit for entering / exiting the inside of the frame body, and a booth terminal having an entrance / exit processing unit for executing entrance / exit processing of the entrance / exit. The delivery management server includes a product reception unit that accepts an order for a product from a user via a user terminal, and an authentication processing unit that authenticates the user and sends the authentication result to the booth terminal. The entrance / exit processing unit of the booth terminal performs entrance processing when the user is authenticated by the authentication processing unit, and the user performs the entrance processing in the frame of the delivery booth. It is characterized in that the product is taken out from the shelf, and after the product is taken out of the frame of the delivery booth, the exit process is performed.

According to the present invention, there is provided a system capable of providing a product according to a user's taste to a place desired by the user at the receiving time zone.
Issues, configurations and effects other than those described above will be clarified by the following description of the embodiments.

It is an example of the schematic block diagram of the product delivery system of this embodiment. This is an example of the front view of the shelves of the delivery booth. It is an example of the schematic explanatory diagram of the purchase cycle of the delivery booth 100. This is an example of a schematic program block diagram of the server on the delivery booth side and the product sales server. It is an example of the sequence diagram explaining the registration of the user identification information of this embodiment. This is an example of a sequence diagram for explaining product promotion and ordering. This is an example of a sequence for explaining the receipt of a user's product. This is an example of a sequence diagram for explaining the process of taking out a product from a shelf and leaving the product. This is an example of a screen for selecting a product receiving location. This is an example of a product purchase screen. This is an example of a payment processing screen. This is an example of the received product display screen. The guidance message screen of this booth is an example of the explanatory diagram in the table. It is an example of explanatory diagram (1) of various information. It is an example of explanatory diagram (2) of various information. It is an example of explanatory diagram (3) of various information. This is an example of an explanatory diagram of the face authentication model registration process.

Hereinafter, examples will be described with reference to the drawings.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. In the following, the scope necessary for the explanation for achieving the object of the present invention will be schematically shown, and the scope necessary for the explanation of the relevant part of the present invention will be mainly described.

The outline of this embodiment is, for example, pre-payment of products (lunch boxes, socks, restaurant food, clothes, etc.) of a product provider (member store) ordered by a user (member). The product provider (member store) delivers the product and places it on the product shelf of the booth selected by the user. The booth is a delivery system that authenticates users, allows them to enter and leave the booth, and allows users to pick up products without error.

In addition, users can comfortably receive products at the booth, easily and quickly, and feel the warmth of fun and communication.
In addition, the booth sells, serves customers, manages inventory, manages hygiene, etc., and makes it possible to convey the thoughts of the creators of member stores to users. Details will be described later.

FIG. 1 is an example of a schematic configuration diagram of the product delivery system of the present embodiment. As shown in FIG. 1, the product delivery system 1 manages a booth terminal 150 installed in the delivery booth 100, a product provider terminal 200, a payment institution server 400, a user terminal 600, and a delivery person terminal 700. The terminal 800 is connected to the delivery management server 300 via the communication network 500. The network may be wired or wireless, and each terminal can send and receive information via the network.

The delivery management server 300 provides various information for displaying the products of the product provider ordered by the user who comes to the delivery booth 100 for delivery, and also performs a process of guiding the product to the user. ..

The product provider terminal 200 is a terminal used by the product provider. ..
The settlement institution server 400 is a server in which a settlement institution such as a credit company, a financial institution, or a settlement agency provides settlement processing.
The management terminal 800 is a terminal for setting and operating a delivery management server.

The user terminal 600 is a terminal operated by a user who uses the product delivery system 1.
The delivery person terminal 700 is a terminal used by a delivery person who delivers the product of the product provider to the delivery booth 100.

Each terminal of the product delivery system 1 and the delivery management server 300 may be, for example, a mobile terminal (mobile terminal) such as a smartphone, a tablet, a mobile phone, or a mobile information terminal (PDA), or may be a glasses type, a watch type, or a clothing type. It may be a wearable terminal such as. It may also be a stationary or portable computer, or a server located in the cloud or on a network. Further, the function may be a VR (Virtual Reality) terminal, an AR (Augmented Reality) terminal, or an MR (Mixed Reality) terminal. Alternatively, it may be a combination of these plurality of terminals. For example, a combination of one smartphone and one wearable terminal can logically function as one terminal. Further, it may be an information processing terminal other than these.

Each terminal of the product delivery system 1 and the delivery management server 300 have a processor for executing an operating system, an application, a program, etc., a main storage device such as a RAM (Random Access Memory), an IC card, a hard disk drive, and an SSD (SSD). Solid State Drive), auxiliary storage devices such as flash memory, communication control units such as network cards, wireless communication modules, mobile communication modules, touch panel, keyboard, mouse, voice input, input by motion detection by image capture of camera unit, etc. It is equipped with an input device and an output device such as a monitor and a display. The output device may be a device or a terminal for transmitting information for output to an external monitor, display, printer, device, or the like.

Various programs and applications (modules) are stored in the main memory, and each functional element of the entire system is realized by executing these programs and applications by the processor. In addition, each of these modules may be implemented by hardware by integrating them. Further, each module may be an independent program or application, but may be implemented in the form of a part of a subprogram or a function in one integrated program or application.

In this specification, each module is described as a subject (subject) that performs processing, but in reality, a processor that processes various programs, applications, etc. (module) executes processing.
Various databases (DBs) are stored in the auxiliary storage device. A "database" is a functional element (storage unit) that stores a data set so that it can handle arbitrary data operations (for example, extraction, addition, deletion, overwriting, etc.) from a processor or an external computer. The method of implementing the database is not limited, and may be, for example, a database management system, spreadsheet software, or a text file such as XML or JSON.

(Structure of delivery booth)
As shown in FIG. 1, the delivery booth 100 surrounds a predetermined space on the front side of the product shelf 160 with a frame (preferably a material having a refreshing feeling: hereinafter referred to as an entrance frame 110) to form a booth space. Is forming.
In other words, the structure is such that even if a person is trapped at the door (doorway), it can be seen from the outside, and the product can be seen from the outside but cannot be removed even if the hand is reached.

The product shelf 160 can be a refrigerator type, a warm storage type, or a normal shelf at room temperature.
As shown in FIG. 2, the product shelves 160 have shelf numberes (A, B, C ...) For each shelf, and preferably shelf division numbers A-1, A-2, ..., B-. 1, B-2, ..., C-1, C-2, ... And so on are described, for example. The shelf number may be displayed electrically, or the position may be stored without being displayed.
The products arranged here may be, for example, foods such as lunch boxes and restaurant foods, and products such as clothes and apparel such as shoes, but are not limited thereto.

Further, a camera 120 in front of the booth is provided on the upper part (door 180 side) of the entrance frame 110 of the delivery booth 100. Further, the door (doorway) 180 is provided with an electric lock 185 and a tablet 130 in front of the booth (also referred to as entrance side guidance means: including a speaker).
Inside the delivery booth 100, an internal tablet 140 (internal guidance means and already: including a speaker) is provided to display information such as purchased products to the user.

The delivery booth 100 is provided with a booth terminal 150 (also referred to as a sales product management device).
The booth terminal 150 can control and monitor each device (tablet, camera, electric lock, etc.) in the delivery booth 100 and communicate with the delivery management server 300 and the like.
Based on the image taken by the camera 120 in front of the booth (for example, 50 cm in front of the door (doorway) 180), the feature amount of the user's face image located in front of the entrance and the product transmitted in advance are shown. It collates (authenticates) with the feature amount of the user's face image in the time zone to be received, and if it matches, the admission process is executed. In the entrance process, a message guiding the user in front of the entrance to the inside of the booth is displayed on the tablet 130 in front of the booth, and the electric lock 185 is unlocked to allow the user to enter the inside. The collation of the user's face image will be described later.

The product shelf monitoring unit 153 of the booth terminal 150 is inside the booth based on the output from the booth monitoring camera 190, the shelf product monitoring camera 172, the manual insertion / removal detection sensor 174, and the ordered shelf product information. It is determined whether or not the user has correctly received the product from the product shelf 160, and if it is received, a guide to go out from the booth is displayed on the screen of the internal tablet 140. Then, the electric lock 185 is locked.

As shown in FIG. 2, the product shelf monitoring unit 153 includes a booth monitoring camera 190 that photographs the front surface of the shelf and the space, a shelf product monitoring camera 172 provided on each shelf, and insertion / removal of a hand into the shelf. In cooperation with the manual insertion / removal detection sensor 174 (detected by a laser or ultrasonic wave) for detecting the above, the state of the product or the user is monitored. The temperature inside the booth, the dirt inside the booth such as the contents of the product overflowing, the cleaning status, etc. are constantly monitored, and if there is an abnormality, the management terminal 800, the delivery person terminal 700, the user terminal, etc. You can check in real time at 600

A plurality of cameras are installed in the frame 110, and it is possible to grasp the movement of the user who invades the delivery booth 100 in real time, and the product shelf monitoring unit 153 inventory the products. Since it is possible to grasp the situation in real time, it is possible to display a warning, or output a warning sound or message in case of accidentally picking up a product or illegally stealing a product. ..
Therefore, the possibility of unauthorized use is low, and it is possible to install the delivery booth 100 without the door 180 and the electric lock 185.

The outline processing of the purchase cycle of the delivery booth 100 will be described.
As shown in FIG. 3, the face recognition processing unit 350 of the delivery management server performs face recognition of the image taken by the user taken by the camera in front of the booth 120, and transmits the authentication information to the booth terminal 150. The opening / closing processing unit 158 of the booth terminal 150 that has confirmed the authentication unlocks the electric lock 185 (S1).
When the user is authenticated by the authentication processing unit, the entrance / exit processing unit performs the entrance processing, and the user takes out the product from the product shelf inside the frame of the delivery booth and goes out of the frame of the delivery booth. Later, the exit process will be performed.

In the configuration in which the door 180 and the electric lock 185 are installed at the doorway, the entrance / exit processing unit is the opening / closing processing unit 158, and the entrance processing is, for example, the processing of unlocking the electric lock 185 of the door 180. Is, for example, a process of locking the electric lock 185.
In a configuration in which the door 180 and the electric lock 185 are not installed at the doorway, the entrance process is, for example, a check-in process to the delivery booth 100 that starts monitoring by a plurality of cameras in the delivery booth 100, and the exit process is, for example, a plurality. This is the check-out process from the delivery booth 100, which ends the monitoring by the camera.

Then, the product shelf monitoring unit 153 of the booth terminal 150 delivers the product placed on the product shelf 160 ordered by the user (the product ordered by the product provider (member store) to the booth determined by the user). It was determined by using the outputs of the booth monitoring camera 190, the shelf product monitoring camera 172, and the manual insertion / removal detection sensor 174 that the items placed on the shelf were correctly taken out, and it was confirmed that the items were taken out correctly. In that case, it is determined that the product provision is permitted (S2).

Next, when it is confirmed that the product has been correctly taken out, the product shelf monitoring unit 153 performs an exit check based on the output of the booth monitoring camera 190 (S3), and when it is confirmed that the product has exited. The opening / closing processing unit 158 locks the electric lock 185 (S4).
Then, the product shelf monitoring unit 153 checks for product shortages based on the outputs of the booth monitoring camera 190 and the shelf product monitoring camera 172 (S5).

Such processing is repeated for each user. The detailed processing of the delivery management server 300 and the booth terminal 150 will be described with reference to the sequence diagram.
(Outline configuration of booth terminal and delivery management server)

The schematic configuration of the program block diagram of the booth terminal and the delivery management server will be described with reference to FIG.
The booth terminal 150 includes a user entrance permission unit 152, a product shelf monitoring unit 153, an ordered product take-out guidance unit 154, a user exit guidance unit 156, an opening / closing processing unit 158, an authentication unit 151, and booth side information. It is equipped with a storage unit 157 and the like.

The booth terminal 150, the booth front camera 120, the booth front tablet 130, the electric lock 185, the internal tablet 140, the booth monitoring camera 190, the take-out monitoring unit 170, and the shelf product monitoring camera 172 are configured to be able to communicate with each other via a network. There is.

On the other hand, the delivery management server 300 includes a product reception unit 331, a face feature acquisition unit 333, a face recognition processing unit 350, a product receipt information provision unit 335, a registration information management unit 337, an inventory management unit 338, and a site. It is equipped with side storage means 339 and the like. The details of these processes will be described with reference to the sequence diagram described later, but the outline will be described. The delivery management server 300 can communicate with the booth terminal 150 via the network 500.

In the booth side information storage unit 157, regarding the information received by the product reception unit 331, the face image information of the user in the time zone when the product should be received at the delivery booth 100, and the shelf on which the product ordered by this user is placed. Ordered product position information including the stage product identifier is stored. The authentication unit 151 reads a two-dimensional bar code or the like displayed on the user terminal 600 of the user located in front of the entrance and verifies whether or not the user is a user.

The product shelf monitoring unit 153 manages the product shelf 160 based on the images captured by the booth monitoring camera 190 and the shelf product monitoring camera 172.
When the face image of the user located in front of the entrance is authenticated, the user entrance permission unit 152 enters the user in front of the entrance into the space based on the image taken by the camera 120 in front of the booth. The message to be made is displayed on the tablet 130 in front of the booth.

Then, the ordered product take-out guide unit 154 displays the location of the shelf of the product based on the shelf product identifier on the internal tablet 140. Further, the location of the product shelf in which the reserved product is stored may be visually instructed on the display screen of the user terminal or the delivery person terminal.
At this time, the opening / closing processing unit 158 unlocks the electric lock 185 when the face image is authenticated.

Then, the output signal from the booth monitoring camera 190, the shelf product monitoring camera 172 provided on the shelf, the manual insertion / removal detection sensor 174 for detecting the insertion / removal of the hand on the shelf, and the booth side information. If the product shelf monitoring unit 153 determines that the user in the delivery booth 100 has correctly picked up the product from the location of the shelf based on the ordered product position information of the storage unit 157, the user exit guidance unit 156 displays a guide to go out from the delivery booth 100 on the internal tablet 140.

At this time, when it is confirmed that the user has come out of the door 180, the opening / closing processing unit 158 locks the electric lock 185. On the other hand, the product shelf monitoring unit 153 confirms the number of products in the shelf based on the image information from the monitoring camera 190 in the booth and the product monitoring camera 172 provided in the shelf, and determines the number of products in stock. In response, information is sent to the product provider to the effect that the product will be delivered, and the delivered product is placed on the shelf.

The product reception unit 331 of the delivery management server 300 transmits the product information managed by the product provider terminal 200 to the user terminal 600, and the product name, the product provider name, the quantity, and the product name, the quantity, and the product name, the product provider name, and the quantity are transmitted from the user terminal 600. The user product order information including the receiving booth name and the receiving date and time zone is received and stored in the site side storage means 339.

The face feature acquisition unit 333 is a face image based on a face image taken and transmitted by the user terminal 600, a face image taken by the front-booth camera 120 of the delivery booth 100, and transmitted by the booth terminal 150. Calculate the feature amount of. Then, the face feature acquisition unit 333 stores the calculated face feature amount of the face image in the site-side storage means 339.

The face recognition processing unit 350 includes the feature amount of the face image photographed by the front-boot camera 120 of the delivery booth 100 and transmitted by the booth terminal 150, and the faces of a plurality of users who are scheduled to come to the delivery booth 100 within a predetermined time. It collates with the feature amount of the image and authenticates the user in front of the camera 120 in front of the booth.

The product receipt information providing unit 335 includes user product order information and information on a shelf product identifier that identifies the position of the product placed on the delivery booth 100 by the product provider for the number of users in the receiving date and time zone. The product receipt identification information is transmitted to the booth terminal 150 of the delivery booth 100.

<Sequence>
The overall operation of this system will be described using the sequences of FIGS. 5 to 8.
(Registration of user identification information)

FIG. 5 is an example of a sequence diagram illustrating registration of user identification information of the product delivery system 1 of the present embodiment.
There are a plurality of users and delivery booths 100, and there are also a plurality of types of product provider terminals, but in the sequence diagram, one user, one delivery booth 100, and one product provider terminal will be described.

First, the registration of the user identification information of the user and the delivery person identification information of the delivery person will be described. In this embodiment, registration of user identification information will be described as an example.
The user operates the user terminal 600 such as a smartphone to access the delivery management server 300, and receives the provision of the user registration screen (not shown) from the delivery management server 300 (d10, d12).

Next, the user inputs the basic information of the user on the user registration screen of the user terminal 600. The user terminal 600 collects the input basic information and transmits it to the delivery management server 300 as the user identification basic information (d14).

As shown in FIG. 14A, for example, the user identification basic information includes an access number, an ID, a password, a name, an address, a telephone number, a gender, an age, an e-mail address, credit card information, and a favorite genre (region). , Favorite genre (food), seasoning, sugar restriction, allergy, religious dietary restriction, favorite restaurant, price range, etc.

The registration information management unit 337 of the delivery management server 300 receives the user identification basic information transmitted from the user terminal 600 and stores it in the site-side storage means 339 (d16).
The registration information management unit 337 of the delivery management server 300 transmits an access destination address of an application (application) or a Web service for using the product delivery system 1.
The user terminal executes the delivery management server linkage function (referred to as a delivery management server linkage unit), for example, by installing an application downloaded from the received access destination address or by using a Web service.
The delivery management server cooperation unit accesses the face authentication service site address and displays a face-captured image guidance screen or the like (d18).

The delivery management server cooperation unit of the user terminal 600 displays an instruction to the user to take a face image facing in five directions of front, top, bottom, right, and left on the screen and outputs the instruction by voice to the user. Takes a face image toward the camera of the user terminal 600 according to the instruction (d20). It should be noted that there may be a configuration in which the same processing is executed by taking a face image in three directions of front, right, and left instead of five directions.

The delivery management server cooperation unit of the user terminal 600 transmits the user face photographed image information in which the date, reception number, mobile terminal number, etc. are added to the user face image to the delivery management server 300 (d22). At this time, it is also possible to transmit the user's facial photograph image information by API (Application Programming Interface).

The registration information management unit 337 of the delivery management server 300 receives the user face photographed image information having the reception number, the user face image, the date and time, the mobile terminal number, etc. transmitted from the user terminal 600.
The face feature acquisition unit 333 calculates the face feature amount from the user face image included in the user face photographed image information (d24).
After that, the face recognition processing unit 350 generates a face recognition model based on the face feature amount (d26), associates the face recognition model with the user identification basic information, and stores it in the site-side storage means 339 (d28).

As shown in FIG. 14B, the user identification information consists of basic user identification information such as reception number, ..., name, address, telephone number, gender, age, etc., and user face image feature information and the like. .. Then, the delivery management server 300 transmits the user identification information registration completion information (reception number, completion code, etc.) to the user terminal 600 (d30).
The delivery person also operates the delivery person terminal 700 to calculate facial features in the same manner and registers the delivery person identification information (with the delivery person code, name, and product provider name).

FIG. 17 is an example of an explanatory diagram of the face authentication model registration process. The details of the face recognition model registration process of steps d22 to d28 will be described.
The user terminal 600 transmits the user face image taken by the camera to the delivery management server 300. The face feature acquisition unit 333 of the delivery management server 300 stores the received user face image in the site-side storage means 339 (d22).

After confirming that the face image has been registered in the site-side storage means 339, the delivery management server cooperation unit of the user terminal 600 instructs the face authentication processing unit 350 to execute the registration process. Upon receiving an instruction, the face authentication processing unit 350 acquires a user face image from the site-side storage means 339, and the face feature acquisition unit 333 executes a feature amount calculation process to calculate the face feature amount (d24).

The face recognition processing unit 350 includes the calculated face feature amount, the face feature amount of another user registered in the past, and a face image such as LFW (Labeled Faces in the Wild) that can be acquired from an external server. A face recognition model is generated from the data set (d26).
Then, the face authentication processing unit 350 stores the generated face authentication model in the site-side storage means 339 in association with the user identification basic information.

Since the whole face recognition is a process consisting of three steps of detection (localization), normalization, and recognition, the face in the image is first detected, the outline is detected, and the original photo is viewed from the front. Perform face recognition on faces that have been normalized to be closer to the ones and rearranged.
When generating a face recognition model, the feature amount expressing the face shape and the authentication result of whether or not the person is the person are used as teacher data, and the user is the person from the feature amount expressing the face shape of the user. An estimation model (face recognition model) that estimates whether or not this is the case is generated by machine learning.

At this time, it is possible to generate a face recognition model using only the facial features of the user as teacher data, but face images of multiple published faces that can be acquired from an external server and the past By using the feature amount of the facial image of a plurality of other users registered in the above as teacher data, the accuracy of authentication is improved.

At the time of authentication, the input of the user's face image is accepted, the received face image is analyzed, and the feature amount expressing the shape of the user's face is calculated. By inputting the calculated feature amount to the generated estimation model, the authentication result of whether or not the person is the person is output.

(Product promotion-order)
The product promotion of the product provider (member store) is performed by the product reception unit 331 of the delivery management server 300, and the user places an order for the product via the user terminal 600.

FIG. 6 is an example of a sequence diagram illustrating a product promotion-order. The user activates the delivery management server linkage unit of the user terminal 600 (d40) and accesses the delivery management server 300 (d42).
The registration information management unit 337 of the delivery management server 300 collates this access information with the user identification basic information of the site-side storage means 339 to perform member registration authentication (d44, d46).

If the member registration (user) has been completed, the registration information management unit 337 of the delivery management server 300 outputs the product purchase screen information to the user terminal 600 (d48).
FIG. 9 is an example of a product receiving place selection screen.
The delivery management server cooperation unit of the user terminal 600 displays map information stored in the storage unit of the user terminal 600, and a plurality of delivery booths 100 capable of receiving products received from the delivery management server 300 on the map information. The position information 901 and 902 of are displayed. The delivery booth selected by the user is displayed in red, which is distinguishable from other booths, and the details are displayed in the booth information explanation window 903.

When the delivery management server cooperation unit of the user terminal 600 receives the selection of the delivery booth from the user, the product selection screen as shown in FIG. 10 is displayed based on the product selection screen information sent from the delivery management server 300. Display (d49).
On the product purchase screen 1000, the product 1003 that can be received on the designated schedule 1001 at the selected delivery booth is displayed together with the receivable time zone 1002.
When the user accepts the selection of the specific product 1004, the product detail display screen 1050 is displayed. The product details display screen 1050 displays the amount of money 1051, the receiving time 1052, and the quantity 1053, and when the add button 1054 to the cart is selected, the purchase screen 1100 is displayed.

The delivery management server 300 pushes the user's lunch box and supermarket shopping recommendations, sale information, discount information, recommended information, etc. to the screen of the user terminal 600 at a set time. You may.
In addition, when the product image of the user terminal 600 is selected, the information can be shared with various social networks.

FIG. 11 is an example of a payment processing screen.
When the button 1101 to proceed to the order is selected, the delivery management server cooperation unit of the user terminal 600 transmits information about the selected product or the like to the delivery management server 300 as the user order information (d50).
Upon receiving the user order information including the payment information from the delivery management server cooperation unit of the user terminal 600, the product reception unit 331 of the delivery management server 300 authenticates with the payment institution server 400 and completes the payment process. (D51). The user terminal 600 may perform payment processing with the payment institution server 400.

As shown in FIG. 14 (c), for example, the user order information includes a reception number, a product name (code), a product provider name (code), a date, a user name, and a receiving booth number. Includes order quantity, pick-up time zone (1 hour unit: for example, 11:00 to 12:00), card information, and the like.
The product reception unit 331 of the delivery management server 300 stores the user order information from the user terminal 600 in the site-side storage means 339 (d52).

Next, the inventory management unit 338 of the delivery management server 300 executes the inventory confirmation process when the settlement of the settlement institution server 400 is approved (d60). Further, the inventory management unit 338 transmits inventory confirmation request information (including the booth number) to the booth terminal 150 of the delivery booth 100 (d61).

The product shelf monitoring unit 153 of the booth terminal 150 acquires an in-booth monitoring image (including a shelf front image) from the in-booth monitoring camera 190 in response to receiving the inventory confirmation request information (d62, d63). Then, the product shelf monitoring unit 153 of the booth terminal 150 performs inventory status confirmation processing and notifies the delivery management server 300 of the result (d64).

In the inventory status confirmation process of the product shelf monitoring unit 153, the product is placed on the shelf by comparing the front image of the shelf before the product display taken by the booth monitoring camera 190 stored in advance with the booth monitoring image input this time. The product shelf monitoring unit 153 determines whether or not the product is present. For example, if there is no product image in A-1 by comparing the previous time and this time, it is determined that there is no product in A-1.

If there is a product image, the product shelf monitoring unit 153 calculates the size of the product image (vertical and horizontal dimensions), and based on the size of one of the shelf management information, how many are stacked and placed. Determine if it is. Such processing is performed for each shelf and each section. Moreover, you may simply count the number of product images of a shelf or a section with a counter.

That is, in inventory management, the surveillance camera 190 in the booth captures images of the product shelves before and after one user enters the booth, and the divisions (A-1, A) in which each product is placed. -2 ...) Each time, the product shelf monitoring unit 153 detects the increase or decrease of each product by recognizing the change by looking at the difference in the image, and confirms the inventory of the product. For this reason, we are devising ways to more accurately understand the increase and decrease of products for each category. Therefore, the product provider terminal 200 can freely add sales, totalization, evaluation totalization, and menu addition.

As a result of the inventory confirmation process (d60) of the inventory management unit 338 of the delivery management server 300 and the inventory confirmation process (d64) by the booth terminal 150, if there is no inventory, the inventory management unit 338 is the product provider terminal 200 (for example, for example. The product is ordered from a restaurant (restaurant, lunch shop) (d66). That is, the inventory management unit 338 outputs a command to store the ordered product when the ordered product is not on the product shelf. The inventory management unit 338 may place an order for the number of stocks in order to always secure a certain number of stocks. Further, the store opening price for each shelf may be adjusted for each member store so that the member store having the priority reservation right can secure the exhibition place as much as possible.

As shown in FIG. 15C, the above-mentioned product ordering information includes a reception number, an ordering number, a booth number (name), a date and time, a user receiving time zone, and a product name (code). , Product provider name, quantity, location (with map), etc.

That is, the inventory management unit 338 informs the product provider (member store) of the name and location of the delivery booth 100, which is the delivery location. The shelves may be movable, but in order to make it possible to visually identify the location, for example, the image of the shelves taken that morning is visually A-1, A-2, and so on. An image showing the location of the division may be provided (display of shelves). Further, the location of the product shelf related to the storage of the reserved product may be visually indicated on the display screen of the user terminal 600 or the delivery person terminal 700.

The product provider terminal 200 determines a delivery person with reference to the delivery person list, and uses the product supplier name, address, telephone number, e-mail address, map, etc. included in the product ordering information as the product delivery information. It is transmitted to the terminal 700 (d67).
Based on this information displayed on the delivery person terminal 700, the delivery person receives the product ordered from the product provider and puts it on the shelf of the delivery booth. The delivery person collects the items already on the shelves that have expired and cleans them to maintain a hygienic environment.

The products arranged on the shelves are managed by the shelf management information and the product information referred to from the shelf management information. In the product information, information such as the expiration date, the expiration date, and the sales period for each product is stored and managed.
Based on this information, it is possible to control how many products are placed in which section of which shelf. For example, products whose expiration date has expired should be discontinued after the corresponding time. This is displayed on the delivery person terminal 700 or the product provider terminal 200.

The delivery person delivers the product and collects or disposes of the product based on the instruction for collecting or disposing of the product whose expiration date has expired, which is displayed on the delivery person terminal 700.
The product provider terminal 200 (member store) may place a product other than the order on the delivery person. In this case, the product name (code), the product provider name, the quantity, and the like are notified to the delivery management server 300 and registered.

(Receiving user products)
FIG. 7 is an example of a sequence for explaining the receipt of the user's goods.
The product receipt information providing unit 335 of the delivery management server 300 has a certain number of user product receipt information (for example, for 30 people) and a certain number of user face image feature information (reception number, user face image feature information number, etc.). The date, time, facial features, etc.) are stored in the temporary storage memory as user product receipt time zone booth information.

That is, the product receipt information providing unit 335 of the delivery management server 300 performs face recognition for a limited time. In other words, the time zone when the user reserves the product is decided to be one hour, and by calculating using only the parameter of the facial feature amount of the promised person who comes in that time zone, for example, tens of thousands of people Even if there are registered members, if there are 30 people who have made reservations for that time zone of the delivery booth 100, extracting information for 30 people and having it for face recognition will result in a considerable amount of calculation. Is suppressed and the accuracy is improved.

As shown in FIG. 16A, the user product receiving time zone booth information includes, for example, the user receiving time zone (for example, 11:00 to 12 on January 10, 2020), the user product order information, and the user product order information. It consists of user face image feature information (reception number, user face image feature information number, date time, face feature ...) and the like.

On the other hand, the tablet 130 in front of the booth of the delivery booth 100 displays the guidance message screen of this booth as shown in FIG. 13 based on the control data of the booth terminal 150 (d84). To receive the ordered product, a message such as selecting the user entrance button H2 is displayed on the tablet 130 in front of the booth. In the case of a delivery person, the delivery person button H1 is selected.

Then, the tablet 130 in front of the booth monitors whether or not the delivery person button H1 or the entrance button H2 is selected (d86, d87). When the entrance button H2 is selected by the user, the tablet 130 in front of the booth transmits information such as a tablet number and an entrance button selection code to the booth terminal 150 (d88).

The booth terminal 150 transmits a shooting guidance message to the tablet 130 in front of the booth by selecting the entrance button H2 of the user (d90). The tablet 130 in front of the booth displays, for example, a message on the screen asking you to turn your face in front of the camera on the entrance side (d92).

Further, the booth terminal 150 transmits a shooting start instruction to the camera 120 in front of the booth (d93). The front-booth camera 120 starts shooting (user's face) (d94), and the front-booth camera 120 transmits the user-shooting image information to the booth terminal 150 (d96). Subsequently, the booth terminal 150 transmits the user photographed image information to the delivery management server 300.

The face feature acquisition unit 333 of the delivery management server 300 extracts the face part from the user's photographed image information (here, the face image occupying the largest size in the photographed screen so that the face of another person may be reflected). cut out). In other words, even if multiple people are on the screen, the face image of the user who wants to authenticate is likely to be the largest, so it is the largest size on such a screen. Get a face image of. In this face recognition, the user is informed that the face portion is surrounded by a green square frame on the screen of the tablet 130 in front of the booth to be captured. Here, the face recognition model of a plurality of users is acquired, in which the feature amount calculated from the largest face image from the face image of the captured image and the information to be received at the scheduled receiving time zone are registered (the face recognition model of a plurality of users is registered). d98).
Then, the face recognition processing unit 350 of the delivery management server 300 inputs the calculated feature amount into the acquired face recognition model and obtains the output of the information for identifying the user to perform the face recognition processing (d99). ..

The face recognition process of the face recognition processing unit 350 reads the current time of a calendar timer (not shown) and stores it in the site side storage means 339 in advance in a time zone (for example, 11:00 to 12:00) including the current time. For example, a face recognition model for 30 people is extracted. Then, the face feature information before entering the booth acquired in this face recognition model is input, and verification authentication is performed.

The above-mentioned collation authentication is highly accurate because it is a face feature generated from, for example, a face image in three directions or five directions obtained by the face recognition processing unit 350.
Then, the face authentication processing unit 350 of the delivery management server 300 determines whether or not the person is the person each time a collation result is obtained (d102).

If the face is not recognized on the delivery management server 300, the user launches the delivery management server cooperation unit of the smartphone on the user terminal 600, displays the two-dimensional bar code on the delivery management server cooperation unit, and displays the two-dimensional bar code. The two-dimensional bar code may be read by the camera 120 in front of the booth for authentication.

When the face authentication processing unit 350 of the delivery management server 300 determines that the person is not the person, the delivery management server 300 sends message information notifying that the person cannot be recognized to the tablet 130 in front of the booth (d104) and displays the message information. (D106).

When the face authentication processing unit 350 of the delivery management server 300 determines that the person is the person, the user entrance permission unit 152 of the booth terminal 150 outputs an unlocking instruction to the electric lock 185 by the opening / closing processing unit 158 to unlock the boot terminal 150. (D108) and send an admission guidance message to the tablet 130 in front of the booth (d110) and display it (d112). If the face recognition processing unit 350 recognizes that the user is coming at that time, the booth will say "Hello! Is it Mr. XX?" Or "Is it correct for Mr. XX?" It may be displayed on the front tablet 130.

Summarizing the above authentication processing, the face recognition processing unit 350 includes a feature amount extracted from the user's face image, a plurality of feature amounts extracted from a plurality of other user's face images registered in the past, and a plurality of feature amounts. Using information indicating whether or not the user is the person as teacher data, an estimation model for estimating whether or not the user is the person is generated by machine learning from the feature amount, and the authentication processing unit 350 generates an estimation model. By inputting the feature amount extracted from the face image taken in, the person is authenticated.

The authentication processing unit 350 can further improve the accuracy of authentication by using a plurality of feature quantities extracted from a plurality of face images that can be acquired from an external server as teacher data.
The authentication processing unit 350 extracts a plurality of inference models of a plurality of users who come to receive the product within a predetermined range such as within one hour before and after the time when the user comes to receive the product, and a plurality of extracted models. Authenticate based on the user's inference model. In addition, the time within a predetermined range may be the time between the time ordered by the user and the time when the product can be received.

(Receive goods-exit)
FIG. 8 is an example of a sequence diagram illustrating the process of taking out a product from a shelf and leaving the product.
Along with the unlocking by the opening / closing processing unit 158, the ordered product take-out guidance unit 154 of the booth terminal 150 activates the in-booth monitoring camera 190 and the shelf product monitoring camera 172 to acquire the images (d121, d122).

In addition, the product receipt information providing unit 335 includes user product order information and information on a shelf product identifier that identifies the position of the product placed on the delivery booth 100 by the product provider for the number of users in the receiving date and time zone. The product receipt identification information for each user is transmitted to the booth terminal 150 of the delivery booth 100. Based on the received product receipt identification information for each user, the ordered product take-out guide unit 154 transmits and displays the shelf number of the product shelf ordered by this user and the division number of the shelf on the internal tablet 140. (D123, d124). That is, the ordered product take-out guide unit 154 displays, for example, the contents such as "The lunch box of the product you reserved is placed at the position of B-1 on the B shelf" on the internal tablet 140.
Further, the delivery management server cooperation unit of the user terminal 600 can also visually display the location of the product shelf on which the product ordered by the user is placed on the display unit.

The booth terminal 150 of the delivery management server 300 and the delivery booth 100 uses the booth management information shown in FIG. 15A and the shelf management information shown in FIG. 15B to determine the status of the shelves on which products are arranged. grasp.

Booth management information includes booth number, booth name, booth location (1st floor of XX building), shelf type (cold, hot, ...), and camera information in front of the entrance (camera number, camera type, ...). , Entrance tablet information (tablet number, tablet type, ...), Internal tablet information, internal monitoring camera information, shelf manual insertion / removal detection device information (camera, sensor, etc.) and the like.

In addition, the shelf management information (also referred to as shelf product identifier information) includes the booth number and the shelf number information (first stage division numbers A-1, A-2, ... Second stage division numbers B-1, B. -2, ...), Product name, product number, size (vertical and horizontal dimensions) of one product, product provider name, quantity, etc. When the shelves are divided for each product provider terminal 200, the section number may not be provided.

When displaying the information of the reserved products and shelves on the internal tablet 140, the ordered product take-out information unit 154 sends a greeting message to the internal tablet 140 saying "Welcome to Mr. XX! It's sunny today and it feels good!" It may be displayed. Therefore, every time a user visits this booth, a good customer service feeling will be given.
The ordered product take-out guide unit 154 communicates with the shelf-stage product monitoring camera 172 and the product shelf monitoring unit 153 linked with various sensors to acquire the in-shelf hand monitoring device acquisition information (d125), and performs the product take-out determination process. (D126).
As shown in FIG. 16B, the in-shelf hand monitoring device acquisition information includes a camera number, a booth number, a sensor number, and the like.

In this process, it is determined whether or not the ordered product take-out guide unit 154 has touched the shelf or section of the shelf number based on the image from the product shelf monitoring unit 153 and the ordered product position information. The insertion and removal of the hand is determined by the sensor output signal from the manual insertion / removal detection sensor 174.
Then, when it is determined that the ordered product withdrawal guidance unit 154 has taken the product without error, the guide is displayed on the internal tablet 140 so as to go out from the space.

The ordered product take-out guide unit 154 of the booth terminal 150 determines whether or not the product has been taken out (d127), and if it has taken out, determines whether or not the product has been taken out from the shelf section number of the correct shelf number (d128).

If the product is not correct, the ordered product take-out guide unit 154 sends NG data to the internal tablet 140 (d129), displays an error message on the internal tablet 140, and notifies by voice from a speaker (not shown). d130).
For example, if the user picks up a product in a position different from the displayed position, the ordered product take-out guide unit 154 tells "Are you picking up the product in a different position? Please check the tablet."

Alternatively, the ordered product take-out guide unit 154 notifies from the internal tablet 140 that "Please return to the left (right) position and pick up the product in the right (left) position". When the correct product is picked up, the ordered product take-out information unit 154 displays "This is a reserved product. Thank you. Have a nice day!" On the screen of the internal tablet 140 and the user terminal 600.

If you still can't get the correct product, especially if there is a line, the order product take-out information unit 154 will say, "It's different from the reserved product, but would you like to buy it?" Internal tablet 140 Notify with. "If you want to purchase, please press the purchase button on the tablet.", And if the purchase button is pressed, "It will be a product. Thank you. Have a nice day!" And the internal tablet 140 and the user. It is displayed on the screen of the terminal 600. If this is not the case, connect with the call center (office) via a videophone or other means to have a dialogue. For example, tell them that they will be refunded if they leave the room.

When the correct product is acquired, the user exit guidance unit 156 transmits the exit information to the internal tablet 140 (d131), and displays the exit guidance on the internal tablet 140 (d132).
For example, the message "Please press the Finish button when the receipt is completed. If it is not pressed, it will end in 10 seconds" is displayed on the internal tablet 140 and the voice is played.
Then, the electric lock 185 is locked by the opening / closing processing unit 158 (d134). For example, the electric lock 185 is automatically closed 10 seconds after the user leaves.

In addition, it is a mechanism that can detect when a person who has not reserved the booth has entered, there is a person reaching out from the side wall, or there is a person who has stayed in the booth for a long time. There is. If it is detected, the internal tablet 140 will first display a warning saying "Intrusion has been detected", transmit it by sound or light, check the video in real time on the relevant product sales service site, and still do not evict. Can also be spoken by the observer through the internal tablet 140.

Further, the booth terminal 150 transmits these historical data to the delivery management server 300 for management (d133). Then, a thank-you short mail or the like is sent to the user terminal 600 (d135).
Also, it is possible to cancel the night before. In that case, a snack coupon or the like is preferable.

Also, if the next entry is entered with the electric lock 185 open, "I was unable to verify your identity. Excuse me, but please start the app and read the two-dimensional bar code." Internal tablet 140 It is better to notify from.

It is also possible to present posters and display digital signage on the tablet 130 in front of the booth, the tablet 140 inside, and the inside and outside of the wall surface. For example, digital signage is used to display advertisements of product providers and videos of sales promotion campaigns, put actual products in the delivery booth 100, and what kind of users make reservations among those who come to see them on the spot. You can observe if you want to buy it.
The user information accumulated here can be statistically analyzed and the result can be provided to the product provider.
The product provider terminal 200 can grasp and display not only information on delivery but also information such as future sales results for each store, customer trends, future demand forecasts, and sales forecasts.

The present invention is not limited to the above-described embodiment, and includes various modifications. For example, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to the one including all the described configurations. Further, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to add / delete / replace a part of the configuration of each embodiment with another configuration.

Further, each of the above configurations, functions, processing units, processing means and the like may be realized by hardware by designing a part or all of them by, for example, an integrated circuit. Further, each of the above configurations, functions, and the like may be realized by software by the processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files that realize each function can be placed in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

In addition, the control lines and information lines indicate what is considered necessary for explanation, and do not necessarily indicate all the control lines and information lines in the product. In practice, it can be considered that almost all configurations are interconnected.
It should be noted that the above-mentioned embodiment discloses at least the configuration described in the claims.

100 Delivery booth 200 Product provider terminal 300 Delivery management server 400 Payment institution server 600 User terminal 700 Delivery person terminal 350 Face recognition processing unit

Claims (22)

It is a delivery management server that manages the products placed in the delivery booth.
The delivery booth has a product shelf, a frame connected to the product shelf so as to surround the product shelf, an entrance / exit for entering / exiting the inside of the frame, and an entrance / exit process for the entrance / exit. Equipped with a booth terminal with an entry / exit processing unit to execute,
The delivery management server is
The product reception department, which accepts product orders from users via the user terminal,
An authentication processing unit that authenticates the user and sends the authentication result to the booth terminal.
Have,
The entrance / exit processing unit of the booth terminal performs entrance processing when the user is authenticated by the authentication processing unit, and the user puts the product from the product shelf in the frame of the delivery booth. A delivery management server characterized in that an exit process is performed after taking out and going out of the frame of the delivery booth. The delivery management server according to claim 1, further comprising an inventory management unit that outputs a command to store the ordered product when the ordered product is not on the product shelf. The authentication processing unit uses the face authentication model generated based on the feature amount extracted from the user's face image taken by the user terminal, and the use taken by a camera provided in the delivery booth. The delivery management server according to claim 1 or 2, wherein the user is authenticated by inputting a feature amount extracted from a person's face image. An electric lock is provided at the entrance / exit, and the entrance / exit processing unit unlocks the electric lock when the user is authenticated by the authentication unit of the delivery management server, and the user unlocks the user. The delivery management server according to any one of claims 1 to 3, wherein the electric lock is locked when it is detected that the user has gone out of the delivery booth. The authentication processing unit uses the largest face image among a plurality of face images taken by a camera provided in the delivery booth as the face image of the user, and extracts the feature amount from the face image. The delivery management server according to claim 3. The authentication processing unit includes a feature amount extracted from the face image of the user, a plurality of feature amounts extracted from the face images of a plurality of other users registered in the past, and whether the user is the person himself / herself. Using the information indicating whether or not the information is used as teacher data, an estimation model for estimating whether or not the user is the person is generated by machine learning from the feature amount, and the authentication processing unit uses the face image taken by the estimation model to generate an estimation model. The description according to any one of claim 3, which is characterized in that the identity of the person is authenticated by inputting the extracted feature amount, or claim 4 or claim 5 which cites claim 3. Delivery management server. The delivery management server according to claim 6, wherein the authentication processing unit further uses a plurality of feature quantities extracted from a plurality of face images that can be acquired from the external server as teacher data. The authentication processing unit extracts the inference model of a plurality of users who come to receive the product within a predetermined range from the time when the user comes to receive the product, and the extracted plurality of users. The delivery management server according to claim 6 or 7, wherein authentication is performed based on an inference model. The delivery management server according to claim 8, wherein the time within the predetermined range is a time between the time ordered by the user and the time when the product can be received. Any of claims 1 to 9, wherein the booth terminal has an authentication unit that performs the admission process when the barcode of the user terminal transmitted in response to the user's order is read. The delivery management server described in item 1. The booth terminal according to any one of claims 1 to 10, wherein the booth terminal visually indicates the location of the product shelf on which the product ordered by the user is placed on the user terminal. Delivery management server. A claim characterized by having an inventory confirmation unit for confirming the inventory of products by taking images of the product shelves before and after the user enters and exits the delivery booth and recognizing the difference between the images. The delivery management server according to Izuka 1 of 1 to 11. It is a delivery management method in the delivery management server that manages the products placed in the delivery booth.
The delivery booth has a product shelf, a frame connected to the product shelf so as to surround the product shelf, an entrance / exit for entering / exiting the inside of the frame, and an entrance / exit process for the entrance / exit. Equipped with a booth terminal with an entry / exit processing unit to execute,
The delivery management server is
Accepting product orders from users via the user terminal,
Authenticate the user, send the authentication result to the booth terminal, and
When the user is authenticated by the authentication processing unit, the entrance process is performed, the user takes out the product from the product shelf in the frame body of the delivery booth, and outside the frame body of the delivery booth. After appearing in, the participation process will be performed.
A delivery management method characterized by that. The delivery management method according to claim 13, wherein when the product for which an order has been received is not on the product shelf, a command for receiving the product for which the order has been received is output. The face authentication model generated based on the feature amount extracted from the user's face image taken by the user terminal is extracted from the user's face image taken by the camera provided in the delivery booth. The delivery management method according to claim 13, wherein the user is authenticated by inputting the feature amount. An electric lock is provided at the doorway, and when the user is authenticated by the authentication unit of the delivery management server, the electric lock is unlocked and the user goes out of the delivery booth. The delivery management method according to any one of claims 13 to 15, wherein the electric lock is locked when it is detected. The claim is characterized in that the largest face image among a plurality of face images taken by a camera provided in the delivery booth is used as the face image of the user, and the feature amount is extracted from the face image. The delivery management method according to 15. The feature amount extracted from the user's face image, a plurality of feature amounts extracted from the face images of a plurality of other users registered in the past, information indicating whether or not the user is the person, and information indicating whether or not the user is the person himself / herself. Is used as teacher data to generate an estimation model for estimating whether or not the user is the user from the feature amount by machine learning, and the authentication processing unit inputs the feature amount extracted from the face image taken in the estimation model. The delivery management method according to any one of claim 15, which is characterized by authenticating the identity of the person, or claim 16 or claim 17, which cites claim 15. The delivery management method according to claim 18, further comprising using a plurality of feature quantities extracted from a plurality of facial images that can be acquired from the external server as teacher data. The inference model of a plurality of users who come to receive the product within a predetermined range from the time when the user comes to receive the product is extracted, and based on the extracted inference model of the plurality of users, the inference model is extracted. The delivery management method according to claim 18 or 19, wherein the authentication is performed. The delivery management method according to claim 19, wherein the time within the predetermined range is a time between the time ordered by the user and the time when the product can be received. A delivery management program that causes a delivery management server to execute each step in the delivery management method according to any one of claims 13 to 21.

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