JP7224436B2 - Information processing device, program and information processing method - Google Patents

Description

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

A system for automatically reordering previously ordered goods is known (see, for example, US Pat. Also, a system for managing the operation of delivery vehicles is known (see Patent Document 2, for example).
[Prior art documents]
[Patent Literature]
[Patent Document 1] JP-A-2018-527662 [Patent Document 2] JP-A-2017-165509

Problem to be solved

However, the system described in Patent Literature 1 cannot automatically order products that the user has not ordered in the past. For example, even if the user of the system described above wants to change his/her belongings on the go, the system cannot accommodate the user's request. Further, Patent Literature 2 only discloses that an operation schedule plan for a delivery vehicle is generated after a pickup location and a delivery location are determined.

General disclosure

In a first aspect of the invention, an information processing system is provided. The above-described information processing system is, for example, an information processing system for managing a moving body on which furnishings are mounted. For example, the above information processing system can be used within a delivery area where a mobile body can deliver furnishings (i) fitting or purchasing furnishings by the user, or (ii) wearing or carrying the furnishings by the user. An area extracting unit is provided for extracting a demand area in which a demand for changing or adding furnishings is expected. The above information processing system includes, for example, an operation management unit that manages the operation of mobile objects based on the location of the demand area extracted by the area extraction unit and the details of the demand.

The information processing system described above may include a demand determination unit that determines whether or not the degree of demand exceeds a predetermined degree for at least some of the one or more points arranged within the delivery area. In the information processing system described above, the area extraction unit may extract, as a demand area, a point where the degree of demand determined by the demand determination unit exceeds a predetermined degree. The above information processing system may include a request receiving unit that receives a delivery request requesting delivery of furnishings to a specific location from a user's communication terminal. The delivery request may include delivery type information indicating attributes of furnishings that the user wishes to deliver. In the information processing system described above, the operation management unit determines the operation of the moving object based on (i) the position of the specific point indicated by the delivery request and (ii) the attributes of the furnishings indicated by the delivery type information. can be managed.

The information processing system described above may include a user information acquisition unit that acquires information indicating a user's schedule. The information indicating the user's schedule may include information indicating the time or period and information indicating the user's position at the time or period. In the information processing system described above, the demand determination unit determines that the degree of demand at the position indicated by the information acquired by the user information acquisition unit is at the time or at the beginning or end of the period indicated by the information acquired by the user information acquisition unit. , may be determined to exceed a predetermined degree.

In the information processing system described above, the information indicating the user's schedule may include information indicating the user's behavior at a time or period. The above information processing system may include a first demand type determination unit that determines attributes of furnishings that are expected to be in demand, based on user behavior. In the information processing system described above, the operation management unit determines the operation of the moving object based on (i) the position of the user at the time or period and (ii) the attributes of the furnishings determined by the first demand type determination unit. can be managed.

The information processing system described above may include a facility information acquisition unit that acquires information indicating the time period during which facilities arranged at at least some points within the delivery area are used. In the information processing system described above, the demand determining unit determines that when the level of demand at at least a portion of the delivery area exceeds a predetermined level during the time period indicated by the information acquired by the facility information acquiring unit You can judge.

In the information processing system described above, the facility information acquisition unit may acquire information indicating the types of facilities arranged at at least some points within the delivery area. The above information processing system refers to the facility information storage unit that stores the type of facility and the attribute of the user's furnishings of the facility in association with each other, and stores the facility indicated by the information acquired by the facility information acquisition unit. A second demand type determination unit may be provided that determines attributes of furnishings that are expected to be in demand at facilities located at least some points within the delivery area based on the types of the items. In the above information processing system, the operation management unit moves based on (i) the position of at least a part of the points in the delivery area and (ii) the attributes of the furnishings determined by the second demand type determination unit. You can control the movement of your body.

The information processing system described above may include an image acquisition unit that acquires image data of an image captured by an imaging device arranged in the delivery area. The information processing system described above may include a group detection unit that analyzes the image data acquired by the image acquisition unit and detects a group of people. In the information processing system described above, when the crowd detection unit detects a crowd, the demand determination unit may determine that the degree of demand at the point where the crowd is detected exceeds a predetermined degree. The above information processing system includes a third demand type determination unit that analyzes the image data acquired by the image acquisition unit and determines the attributes of the furnishings of each of the plurality of people constituting the group detected by the group detection unit. Be prepared. In the information processing system described above, the operation management unit determines the operation of the moving body based on (i) the position of the point where the group is detected and (ii) the attributes of the furnishings determined by the third demand type determination unit. can be managed. In the above information processing system, the area extraction unit may analyze at least one of weather information, news information, and information on SNS to extract one or more demand areas.

The information processing system described above may manage a plurality of moving bodies. In the information processing system described above, each of the plurality of mobile objects may be equipped with a plurality of furnishings. In the above information processing system, the operation management unit refers to the furnishings information storage unit that stores information indicating the attributes of each of the plurality of furnishings mounted on each of the plurality of mobile bodies. and an allocation unit that determines one or more moving bodies to be allocated to the demand area from among the plurality of moving bodies based on attributes of furnishings expected to be in demand in the demand area.

In the information processing system described above, the allocation unit may determine the allocation of one or more moving bodies such that a larger number of furnishings are delivered to the demand area than the number required for change or addition. In the above information processing system, the allocation unit divides the demand areas so that the number of furnishings corresponding to the demand for women's furnishings is greater than the number of furnishings corresponding to the demand for men's furnishings. may determine one or more mobiles to assign to. In the information processing system described above, the allocation unit may determine the number of moving bodies to be allocated to the specific demand area based on the number or ratio of women existing in the specific demand area.

In the information processing system described above, the operation management unit arranges a plurality of mobile bodies so that other mobile bodies having at least part of the attributes of furnishings to be mounted thereon are arranged in a delivery area of a specific mobile body. may manage the operation of In the information processing system described above, the furnishings information storage unit may store, for each of the plurality of mobile bodies, information indicating the usage history of each of the plurality of furnishings mounted on the mobile body. In the information processing system described above, the operation management unit refers to the furnishings information storage unit, and selects, from among the plurality of movable bodies, the number of unused furnishings or the proportion of unused furnishings smaller than a predetermined value. can be extracted. In the information processing system described above, the operation management unit may decide to move the extracted moving bodies to a support center where maintenance or management of a plurality of moving bodies or a plurality of furnishings is performed.

A second aspect of the present invention provides an information processing method. The above-described information processing method is, for example, an information processing method for managing a moving object on which furnishings are mounted. The above-described information processing method can be used, for example, within a delivery area where a mobile body can deliver furnishings (i) trying on or purchasing furnishings by a user, or (ii) wearing or carrying furnishings by a user. There is an area extracting step of extracting a demand area where demand for changing or adding furnishings is expected. The above information processing method has, for example, an operation management stage of managing the operation of mobile units based on the location of the demand area extracted in the area extraction stage and the details of the demand.

In a third aspect of the invention, a program is provided. A non-transitory computer-readable medium storing the above program may be provided. Said program is a program for making a computer function as said information processing system, for example. The above program may be a program for causing a computer to execute the above information processing method.

It should be noted that the above summary of the invention does not list all the necessary features of the invention. Subcombinations of these feature groups can also be inventions.

An example of the system configuration of the delivery system 100 is shown schematically. An example of the internal configuration of the delivery management server 110 is shown schematically. An example of the internal configuration of the information collection unit 240 is shown schematically. An example of the internal configuration of a storage unit 250 is shown schematically. 1 schematically shows an example of the internal configuration of an inventory management unit 260; An example of the internal configuration of a vehicle management unit 270 is shown schematically. An example of the internal configuration of the demand forecasting unit 630 is shown schematically. An example demand map 800 is shown schematically. An example of the internal configuration of the dispatch unit 650 is shown schematically. An example vehicle 120 is shown schematically. An example of the system configuration of the computer 3000 is shown schematically.

Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. Also, not all combinations of features described in the embodiments are essential for the solution of the invention. In addition, in the drawings, the same or similar parts may be denoted by the same reference numerals to omit redundant description.

[Overview of delivery system 100]
FIG. 1 schematically shows an example of a system configuration of a delivery system 100. As shown in FIG. In this embodiment, the delivery system 100 includes a delivery management server 110 and multiple vehicles 120 . Distribution system 100 may include a distribution center 130 . In this embodiment, the distribution center 130 has a warehousing/dispatching management server 132 .

In this embodiment, the delivery management server 110 and each of the plurality of vehicles 120 exchange information with each other via the communication network 10 . The delivery management server 110 may transmit and receive information to and from the communication terminal 22 of the user 20 using the delivery system 100 . Each of the plurality of vehicles 120 may transmit and receive information to and from the communication terminal 22 of the user 20 who uses the vehicle.

In this embodiment, the communication network 10 may be a wired communication transmission line, a wireless communication transmission line, or a combination of a wireless communication transmission line and a wired communication transmission line. . Communication network 10 may include wireless packet communication networks, the Internet, P2P networks, leased lines, VPNs, power line communication lines, and the like. The communication network 10 may include (i) a mobile communication network such as a mobile phone network, and (ii) a wireless MAN (for example, WiMAX (registered trademark)), a wireless LAN (for example, WiFi (registered trademark)). ), Bluetooth (registered trademark), Zigbee (registered trademark), NFC (Near Field Communication), and other wireless data communication networks.

In this embodiment, the communication terminal 22 exchanges various information with at least one of the delivery management server 110 and the vehicle 120 . The communication terminal 22 has an input device and an output device, and may be used as a user interface for the delivery system 100 . The communication terminal 22 may be an information processing device that can be used by the user 20, and its details are not particularly limited. Examples of the communication terminal 22 include a personal computer and a mobile terminal. Examples of mobile terminals include mobile phones, smart phones, PDAs, tablets, notebook or laptop computers, wearable computers, and the like.

In this embodiment, the delivery system 100 delivers furnishings in response to a request from the user 20 . In recent years, based on information obtained by measuring the body of the user 20, furnishings with a size suitable for the user 20 are delivered, or artificial intelligence is used to distribute furnishings with a color or material suitable for the user 20. A service to deliver is being developed. However, many users 20 desire to actually check the actual item or try on the item before purchasing or temporarily wearing the item.

According to this embodiment, the delivery system 100 delivers furnishings in response to a request from the user 20 . The delivery system 100 may deliver more furnishings than the number actually worn or carried by the user 20 . The delivery system 100 may deliver a larger number of furnishings than specified by the user 20 according to the above request. The delivery system 100 may adjust the number of items to be delivered according to the type of furnishings. As a result, even if the furnishings specified by the user 20 are different from what the user 20 had imagined, the user 20 can select the furnishings that are more preferable from the other furnishings delivered at the same time. can be selected. As a result, delivery efficiency is improved.

Further, according to the present embodiment, the user 20 can easily change clothes and accessories on the go, for example. In particular, when the vehicle 120 provides a fitting space, the user 20 can actually try on the delivered furnishings to compare the delivered furnishings with other furnishings worn or carried by the user 20 . Considering the balance of , you can select the new furnishings to wear or carry.

In one embodiment, the user 20 wishes to change clothes according to the clothes of others. For example, consider a case where user 20 attends a party held at facility 30 . In the party venue, if the user 20's clothes are significantly different from those of the other attendees, the user 20 may wish to change the clothes. When the user 20 wishes to change the clothes, the user 20 requests the delivery system 100 to deliver the party-appropriate furnishings to, for example, the facility 30 or its vicinity.

As a result, the user 20 can select the furnishings that the user 20 wishes to purchase or rent from among the plurality of furnishings that have been delivered, taking into consideration the clothes of the other attendees, the balance with the other furnishings worn by the user, and the like. can be selected. Also, if the vehicle 120 provides a fitting space, the user 20 can try on the delivered furnishings and change into the furnishings.

Similarly, if user 20's attire at a party is very similar to that of the other attendees, user 20 may wish to change the attire. If the user 20 wishes to change his/her outfit, the user 20 asks the distribution system 100 to send the above-mentioned party-appropriate outfits to, for example, the facility 30 or its vicinity, and the user's 20 current outfit or Require the delivery of clothing that differs from the clothing of the other attendees listed above.

As another example, the user 20 may see someone else's clothes while out and wish to change into similar clothes. In this case, the user 20 requests the delivery system 100 to deliver furnishings that are the same as or similar to the other person's clothes, for example, to the current location or destination of the user 20 or their vicinity. The current location or destination of user 20 may be an example of facility 30 .

In another embodiment, the user 20 wishes to change clothes according to the user's 20 schedule. For example, consider the case where user 20 plans to have dinner at a restaurant after finishing work at work. In this case, the user 20 may wish to change from work clothes to clothes that match the atmosphere of the restaurant. When the user 20 wishes to change his/her outfit, the user 20 requests the delivery system 100 to deliver the furnishings to, for example, the office, the restaurant, or the vicinity thereof. An example of facility 30 may be an office or restaurant, or the facility in which they reside.

In another embodiment, user 20 desires to change clothes in response to schedule changes. For example, when user 20 is out of the house, he or she may suddenly have to attend a wake or funeral. In this way, if the schedule is suddenly changed while the user 20 is out, the user 20 may wish to change the clothes. When the user 20 wishes to change the clothes, the user 20 delivers clothing suitable for the wake or funeral to the delivery system 100, for example, to the facility 30 serving as the venue for the wake or funeral or its vicinity. demand that

In yet another embodiment, user 20 desires to change clothing as the weather changes. For example, if the weather suddenly changes while the user 20 is out, the user 20 may wish to change into clothes suitable for the changed weather. When the user 20 wishes to change the clothes, the user 20 can deliver clothes suitable for the weather after the change to the delivery system 100, for example, to the current location or the destination of the user 20 or their vicinity. request. The current location or destination of user 20 may be an example of facility 30 .

As described above, in the present embodiment, the delivery system 100 delivers a larger number of furnishings than specified by the user 20 in response to a request from the user 20, for example. Therefore, even when the user 20 changes clothes while going out, the user 20 can use the delivery system 100 to change clothes that are more suitable for his or her body. In addition, the user 20 can change into clothes in consideration of the balance with other accessories worn or carried by the user 20 . In this way, the delivery system 100 can provide services with greater user satisfaction than conventional delivery systems.

[Overview of Each Part of Delivery System 100]
In this embodiment, the delivery management server 110 manages multiple vehicles 120 . The delivery management server 110 may manage the current position of each of the multiple vehicles 120 . The delivery management server 110 may manage the usage status of each of the multiple vehicles 120 . The delivery management server 110 may manage allocation of multiple vehicles 120 . The delivery management server 110 may divide the area to be managed into a plurality of sub-areas, and assign one or more vehicles 120 in charge of providing services in each sub-area. The delivery management server 110 may manage vehicle allocation for each sub-area.

In this embodiment, the delivery management server 110 manages a plurality of furnishings. In one embodiment, delivery management server 110 may manage the current location of each of a plurality of furnishings. The delivery management server 110 may manage the current position of the vehicle 120 on which the specific furnishings are mounted as the current position of the furnishings. The delivery management server 110 may manage the location of the distribution center 130 where a particular furnishings item is stored as the current location of the furnishings item.

In another embodiment, the delivery management server 110 may manage usage of each of a plurality of furnishings. The usage status of furnishings includes (i) a state of being stored in the distribution center 130, (ii) a state of waiting for the start of maintenance work such as cleaning work, ironing work, and repair work, or maintenance work being performed. (iii) a state in which delivery preparatory work such as loading into the vehicle 120 is being performed; (iv) a state in which the vehicle 120 is delivering to the delivery destination; (v) the vehicle is stopped at the delivery destination; (vi) being tried on by the user 20; (vii) being lent to the user 20; (viii) being transferred to the user 20; A state of being returned to the distribution center 130 by the vehicle 120 is exemplified.

The usage status of furnishings is not limited to the above examples. Other examples of usage of furnishings include the number of times the furnishings have been lent to the user 20, the number of times the furnishings have been tried on by the user 20, the number of times maintenance work has been performed, the position of dirt or damage, the degree of dirt or damage, and the time of purchase. , most recent maintenance time, most recent delivery time, most recent lending time, location of delivery destination, estimated time of arrival at delivery destination, estimated time to be able to move from delivery destination, estimated return time, scheduled completion time of maintenance, etc. exemplified.

In this embodiment, the delivery management server 110 receives information requesting delivery of furnishings to a specific location (sometimes referred to as a delivery request) from the communication terminal 22 of the user 20 . The delivery request may include information on the time or period for which the user 20 desires delivery (sometimes referred to as the desired delivery time). The delivery request may include information about furnishings that the user 20 wishes to deliver.

Examples of the information on the furnishings include information on the attributes of the furnishings, information on the dimensions of the furnishings, and the like. At least one of user class, system, type, use, manufacturer, seller, color, pattern, and material is exemplified as attributes of furnishings.

At least one of the age group and sex of the main users is exemplified as the user group of furnishings. The lineage of furnishings is exemplified by formal wear, formal wear, business wear, casual wear, and the like. Examples of types of accessories include jackets, shirts, pants, skirts, leather shoes, sandals, high heels, bags, necklaces, earrings, and eyewear. Examples of uses of furnishings include rain, snow, spring, summer, autumn, winter, work, work, and ceremonial occasions. The dimensions of the furnishings shall be the gender, height, weight, body shape, chest circumference, waist circumference, waist circumference, shoulder width, width of the body, dress length, sleeve length, sleeve width, and cuffs Width, rise, inseam, hem width and the like are exemplified. The dimensions may be expressed as numerical values or numerical ranges, or may be expressed as symbols that indicate gradual divisions.

Information about clothing items may include information about the current clothing of user 20 . The information regarding the current clothing of the user 20 may include image data showing the current clothing of the user 20 . The information about the furnishings may include image data indicating the furnishings that the user 20 wishes to deliver. Information about furnishings may include image data indicating furnishings that user 20 does not want delivered.

The delivery management server 110 extracts one or a plurality of vehicles 120 loaded with furnishings matching the request from the user 20 from among the plurality of vehicles 120 under the management of the delivery management server 110 . The delivery management server 110 may coordinate with the user 20 the location to which the furnishings are delivered (sometimes referred to as the delivery destination). For example, the delivery management server 110 determines one of one or more parking spaces or stop spaces existing near the point designated by the delivery request as the delivery destination position. The delivery management server 110 may coordinate with the user 20 the expected time or period of arrival of the vehicle 120 (sometimes referred to as the scheduled delivery time).

The delivery management server 110 sends (i) the identification information of the user 20 who sent the delivery request, (ii) the delivery destination to the extracted vehicle 120 or a communication terminal (not shown) used by the driver of the vehicle. and (iii) desired delivery time or estimated delivery time. Thereby, the delivery management server 110 can manage the operation of each of the plurality of vehicles 120 . The delivery management server 110 may further send authentication information for authenticating the user 20 who sent the delivery request.

The identification information of the user 20 includes account information given to the user 20 by the delivery management server 110, account information of the user 20 in any SNS, image data of the user 20, information indicating physical characteristics of the user 20, Information indicating the current clothes of the user is exemplified. The identification information of the user 20 may be used as the user's authentication information.

In this embodiment, the delivery management server 110 is a facility where demand for (i) trying on or purchasing furnishings by the user 20, or (ii) changing or adding furnishings worn or carried by the user 20 is expected. One or a plurality of vehicles 120 are arranged in advance in the vicinity of 30 . As a result, the time from when the delivery management server 110 receives the delivery request from the user 20 to when the vehicle 120 arrives at the delivery destination can be shortened.

Specifically, first, the delivery management server 110 allows (i) the user 20 to try on furnishings, or (ii) Alternatively, an area (sometimes referred to as a demand area) in which demand for changing or adding the furnishings carried is expected is extracted. A delivery area may be an area to which vehicle 120 may deliver furnishings. The delivery area may be an area where the delivery service for furnishings is provided by the delivery management server 110 . A delivery area may be an area to which vehicle 120 may deliver furnishings. The area to which the vehicle 120 can deliver furnishings may be an area where the vehicle 120 accepts furnishing deliveries.

Next, the delivery management server 110 determines one or a plurality of vehicles 120 to be arranged in the demand area based on the position of each demand area and the details of demand in the demand area. The delivery management server 110 also extracts places (sometimes referred to as waiting places) where one or more vehicles 120 can wait inside or near each demand area.

Next, the delivery management server 110 moves the vehicle 120 to the standby location even if a delivery request requesting delivery of furnishings to a specific location within the demand area has not been received. process. Specifically, the delivery management server 110 notifies the vehicle 120 placed in each demand area or the communication terminal (not shown) used by the driver of the vehicle of the position of the waiting area of the vehicle. Send the information shown. Thereby, the delivery management server 110 can manage the operation of each of the plurality of vehicles 120 .

In this embodiment, vehicle 120 carries one or more accessories. In this embodiment, the destination of the vehicle 120 is designated by the delivery management server 110 . The vehicle 120 moves to arrive at the position indicated by the command from the delivery management server 110 by the time indicated by the command.

The vehicle 120 may be moved by a driver's operation, or may be moved by automatic driving or remote control. Examples of vehicles 120 include bicycles, automobiles, and motorcycles. Examples of automobiles include engine vehicles, electric vehicles, fuel cell vehicles, hybrid vehicles, and working machines. Examples of motorcycles include (i) motorcycles, (ii) tricycles, and (iii) standing motorcycles or tricycles having a power unit.

In this embodiment, the distribution center 130 stores furnishings. A plurality of furnishings are brought into the distribution center 130 from furnishings owners or sellers. At the distribution center 130 , a plurality of furnishings are loaded onto each of the plurality of vehicles 120 . One or more furnishings are removed from at least some of the plurality of vehicles 120 at the distribution center 130 . For example, furnishings whose usage count exceeds a predetermined value, furnishings whose loading period exceeds a predetermined value, and the like are removed from the vehicle 120 . The furnishings removed from the vehicle 120 are delivered, for example, to a cleaning facility. Examples of the number of times of use include the number of fittings, the number of trials, and the number of times of lending.

After the vehicle 120 delivers the furnishings to the user 20 and the user 20 changes clothes, the user 20 may request storage or delivery of the furnishings that the user has been wearing. According to one embodiment, the vehicle 120 stores the user's 20 furnishings and delivers the furnishings to a destination specified by the user 20 while moving within the delivery area. According to another embodiment, the vehicle 120 once takes the user's 20 furnishings back to the distribution center 130 . In this case, the user's 20 furnishings are taken out from at least some of the plurality of vehicles 120 at the distribution center 130 . The furnishings removed from vehicle 120 may be stored at distribution center 130 or delivered to a designated location.

In this embodiment, the warehousing/delivery management server 132 manages warehousing and delivery of furnishings in the distribution center 130 . For example, the incoming/outgoing management server 132 manages information about furnishings stored in the distribution center 130 . The warehousing/dispatching management server 132 may manage information about furnishings mounted on each of the one or more vehicles 120 in the distribution center 130 . Distribution center 130 may manage information regarding the furnishings removed from each of one or more vehicles 120 .

Examples of the information about furnishings include information indicating the attributes of the furnishings, information about the dimensions of the furnishings, and the like. The information about furnishings may include identification information for identifying each of a plurality of furnishings.

The facilities 30 may be an example of facilities arranged at at least some points within the delivery area. The delivery system 100 may be an example of an information processing system. The delivery management server 110 may be an example of an information processing system. Vehicle 120 may be an example of a mobile object.

In the present embodiment, details of the delivery system 100 will be described by taking as an example a case where the delivery management server 110 manages the vehicle 120 and furnishings. However, the delivery system 100 is not limited to this embodiment. In another embodiment, at least part of the functions of the delivery management server 110 may be implemented by the vehicle 120 or the warehousing management server 132 . In this case, the vehicle 120 or the entering/leaving management server 132 can be an example of an information processing system.

In the present embodiment, details of the delivery system 100 will be described by taking a case where the vehicle 120 delivers furnishings as an example. However, the delivery system 100 is not limited to this embodiment. In other embodiments, any type of mobile may deliver the apparel.

Examples of moving bodies include bicycles, automobiles, motorcycles, trains, ships, and aircraft. Examples of automobiles include engine vehicles, electric vehicles, fuel cell vehicles, hybrid vehicles, and working machines. Examples of motorcycles include (i) motorcycles, (ii) tricycles, and (iii) standing motorcycles or tricycles having a power unit. Examples of ships include ships, hovercrafts, personal watercraft, submarines, submersibles, and underwater scooters. Airplanes, airships or balloons, hot air balloons, helicopters, drones, and the like are examples of flying objects.

[Specific Configuration of Each Part of Delivery System 100]
Each part of the delivery system 100 may be implemented by hardware, software, or both hardware and software. At least part of each part of the delivery system 100 may be implemented by a single server or may be implemented by a plurality of servers. At least part of each part of the delivery system 100 may be realized on a virtual server or a cloud system. At least part of each part of the delivery system 100 may be realized by a personal computer or a mobile terminal. Examples of mobile terminals include mobile phones, smart phones, PDAs, tablets, notebook computers or laptop computers, wearable computers, and the like. Each part of the delivery system 100 may utilize distributed ledger technology or distributed networks such as blockchain to store information.

When at least part of the components that make up the delivery system 100 are realized by software, the components that are realized by the software define the operations related to the components in an information processing device with a general configuration. It may be realized by starting a program. The information processing apparatus having the above general configuration includes (i) a data processing apparatus having a processor such as a CPU and GPU, a ROM, a RAM, a communication interface, and the like; and (ii) a keyboard, pointing device, touch panel, camera, voice input Input devices such as devices, gesture input devices, various sensors, and GPS receivers, (iii) output devices such as display devices, audio output devices, and vibration devices, and (iv) storage devices such as memories, HDDs, and SSDs (external including a storage device).

In the information processing apparatus having the general configuration described above, the data processing apparatus or the storage device may store the program. The program is executed by the processor to cause the information processing apparatus to perform operations specified by the program. The above program may be stored in a non-transitory computer-readable recording medium. The above program may be stored in a computer-readable medium such as a CD-ROM, DVD-ROM, memory, hard disk, etc., or may be stored in a storage device connected to a network.

The above program may be a program for causing a computer to function as delivery system 100 or a part thereof. The above program may have modules that define the operation of each part of the delivery system 100 . These programs or modules act on the data processing device, input device, output device, storage device, etc., to cause the computer to function as each part of the delivery system 100, or to cause the computer to execute the information processing method in each part of the delivery system 100. or The above program may be installed in a computer that constitutes at least part of the delivery system 100 from a computer-readable medium or a storage device connected to a network. A computer may function as at least a part of each part of the delivery system 100 by executing the above program. The information processing described in the above program is a specific process in which software related to the program cooperates with various hardware resources of the delivery system 100 or a part thereof when the program is read into a computer. act as a means. Then, the delivery system 100 corresponding to the purpose of use of the computer in this embodiment is constructed by realizing the calculation or processing of information according to the purpose of use of the computer in the present embodiment.

The above program may be a program for causing a computer to function as delivery management server 110 . The above program may be a program for causing a computer to execute the information processing method in delivery management server 110 .

The information processing method described above may be a method for managing a mobile object on which furnishings are mounted. For example, the above method can be used within a delivery area where a mobile body can deliver furnishings, (i) trying on furnishings by the user, or (ii) changing the furnishings worn or carried by the user. Alternatively, it has an area extraction step of extracting one or more demand areas where demand for addition is expected. The above method includes, for example, an operation management stage of managing operation of mobile units based on the location of one or more demand areas extracted in the area extraction stage and the content of the demand.

FIG. 2 schematically shows an example of the internal configuration of the delivery management server 110. As shown in FIG. In this embodiment, the delivery management server 110 includes a delivery request receiving section 220 , a responding section 230 , an information collecting section 240 , a storage section 250 , an inventory management section 260 and a vehicle management section 270 .

In this embodiment, the delivery request receiving section 220 receives a delivery request from the communication terminal 22 of the user 20 . The delivery request receiving section 220 may output the delivery request from the user 20 to the vehicle management section 270 .

As described above, a delivery request indicates that a particular user 20 is requesting furnishings to be delivered to a particular location. The delivery request includes, for example, identification information of the user 20 who sent the request and information indicating the location of the delivery destination desired by the user 20 . The delivery request may include information indicating the desired delivery time. The delivery request may include information (sometimes referred to as delivery type information) indicating attributes of furnishings that the user 20 wishes to deliver. As described above, at least one of user class, system, type, use, manufacturer, seller, color, pattern, and material is exemplified as attributes of furnishings.

In this embodiment, the response unit 230 functions as an interface between the delivery management server 110, the user 20, the operator of the delivery management server 110, and the like. For example, the response unit 230 generates an input screen for accepting a delivery request from the user 20 and transmits the input screen to the communication terminal 22 . When the delivery request receiving section 220 receives a delivery request from the user 20, the response section 230 responds to the delivery request.

For example, the response unit 230 transmits to the communication terminal 22 information indicating whether or not the user's 20 delivery request has been accepted. The response unit 230 may generate a screen for adjusting the location of the delivery destination with the user 20 and transmit the screen to the communication terminal 22 . The response unit 230 may determine the location of the delivery destination based on the information input by the user 20 on the screen. The response unit 230 may generate a screen for adjusting the estimated delivery time with the user 20 and transmit the screen to the communication terminal 22 . The response unit 230 may determine the scheduled delivery time based on the information input by the user 20 on the screen.

In this embodiment, the information collection unit 240 collects various types of information. The information collecting section 240 may store the collected information in the storage section 250 . Details of the information collecting unit 240 will be described later.

In this embodiment, the storage unit 250 stores various information. For example, the storage section 250 stores information used for information processing in each section of the delivery management server 110 . The storage section 250 may store information generated in the information processing of each section of the delivery management server 110 . Details of the storage unit 250 will be described later.

In this embodiment, the inventory management unit 260 manages the inventory of furnishings. For example, the inventory management unit 260 manages the current status of furnishings managed by the delivery management server 110 . Details of the inventory management unit 260 will be described later.

In this embodiment, the vehicle management unit 270 manages the vehicle 120 . For example, the vehicle management unit 270 manages the current status of multiple vehicles 120 managed by the delivery management server 110 . The vehicle management unit 270 may manage operation of each of the plurality of vehicles 120 . Details of the vehicle management unit 270 will be described later.

The delivery request receiver 220 may be an example of a request receiver. The information collection unit 240 may be an example of a user information acquisition unit, a facility information acquisition unit, and an image acquisition unit. The storage unit 250 may be an example of a facility information storage unit and a furnishings information storage unit. Vehicle management unit 270 may be an example of an information processing system.

FIG. 3 schematically shows an example of the internal configuration of the information collection unit 240. As shown in FIG. In this embodiment, the information collection unit 240 includes a user information acquisition unit 320 , an area information acquisition unit 330 , a WEB information acquisition unit 340 and an image data acquisition unit 350 .

In this embodiment, the user information acquisition unit 320 acquires information about each of one or more users 20 . For example, the user information acquisition unit 320 acquires information indicating the profile of each of one or more users 20 . The user information acquisition section 320 may store the information indicating the above profile in the storage section 250 .

Information indicating the profile includes identification information of the user 20, information indicating the age of the user 20, information indicating the gender of the user 20, body measurement data of the user 20, information about accessories owned by the user 20, Examples include information related to furnishings worn by the user 20 when using the delivery management server 110 in the past. The identification information of the user 20 includes account information given to the user by the delivery management server 110, account information of the user 20 in an arbitrary SNS, image data of the image of the user 20, face or body information used to identify the user 20. Information indicating features is exemplified.

Examples of measurement data include height, weight, body shape, chest circumference, waist circumference, waist circumference, shoulder width, body width, dress length, sleeve length, sleeve width, cuff width, rise, inseam, and hem width. Examples of the information about furnishings include information indicating the attributes of the furnishings, information indicating the dimensions of the furnishings, and the like.

The user information acquisition unit 320 may acquire information indicating the schedule of each of one or more users 20 . The user information acquisition section 320 may store the information indicating the above schedule in the storage section 250 .

The information indicating the schedule of the user 20 may be information in which information indicating a time or period and information indicating the position of the user 20 at that time or period are associated. The information indicating the schedule of the user 20 may be information in which information indicating the time or period, information indicating the position of the user 20 at the time or period, and behavior of the user 20 at the position are associated. .

In this embodiment, the area information acquisition unit 330 acquires information regarding one or more facilities 30 arranged within the delivery area. Note that the facility 30 is not limited to a building. Other examples of the facility 30 include land, a portion of land, fixed objects on land, objects, monuments, and the like. Facility 30 may be a portion of a street, a parking lot, a park, or a vacant lot.

The area information acquisition unit 330 acquires information about each facility from, for example, a website introducing each of one or more facilities 30 via the communication network 10 . The area information acquisition section 330 may acquire information about the facility 30 by analyzing the information acquired by the WEB information acquisition section 340 . The area information acquisition section 330 may store information regarding the facility 30 in the storage section 250 .

Information related to the facility 30 includes identification information of the facility, information indicating the location of the facility, information indicating the time period in which the facility is used, information indicating the attributes of the facility, and a schedule of events held at the facility. is exemplified. Examples of the information indicating the attribute of the facility include information indicating the type of the facility, information indicating the user class of the facility, information indicating the attribute of furnishings of the user of the facility, and the like.

The information indicating the schedule of events may include information indicating the time or duration of the event. The information indicating the schedule of the event may further include identification information of the event and information indicating attributes of the event. The information indicating the attributes of the event includes, for example, information indicating the type of the event, information indicating the class of participants in the event, and information indicating attributes of furnishings of the participants in the event.

In this embodiment, the WEB information acquisition unit 340 collects various types of information existing on the WEB. For example, the WEB information acquisition unit 340 collects timely information such as weather information, news information, and information posted on any SNS. The WEB information acquisition unit 340 may collect information associated with information indicating time or period, and information indicating position or area. For example, the WEB information acquisition unit 340 acquires information posted on the SNS and information indicating the time when the information was posted on the SNS. The WEB information acquisition section 340 may output the collected information to the area information acquisition section 330 . The web information acquisition section 340 may store the collected information in the storage section 250 .

In this embodiment, the image data acquisition unit 350 acquires image data of an image captured by an imaging device (not shown) arranged in the delivery area. The image data acquisition unit 350 may acquire the above image data and information indicating the time when the image was captured. In one embodiment, the imaging device described above is mounted on a moving body that moves within the delivery area. In other embodiments, the imaging devices described above are installed at specific locations within the delivery area. In this embodiment, the image data acquisition section 350 outputs the above image data to the vehicle management section 270 . The image data acquisition section 350 may store the above image data in the storage section 250 .

The user information acquisition section 320 may be an example of a user information acquisition section. The area information acquisition section 330 may be an example of a facility information acquisition section. The image data acquisition section 350 may be an example of an image acquisition section.

FIG. 4 schematically shows an example of the internal configuration of the storage unit 250. As shown in FIG. In this embodiment, the storage unit 250 includes a user information storage unit 420 , an area information storage unit 430 , an inventory information storage unit 440 and a vehicle information storage unit 450 .

In this embodiment, the user information storage section 420 stores information acquired by the user information acquisition section 320 . User information storage unit 420, in response to a request from vehicle management unit 270, extracts information that matches the conditions indicated by the request. User information storage section 420 may output the extracted information to vehicle management section 270 .

In this embodiment, the area information storage section 430 stores the information acquired by the area information acquisition section 330 . The area information storage section 430 may store information acquired by the web information acquisition section 340 . The area information storage section 430 may store the image data acquired by the image data acquisition section 350 . Area information storage unit 430, in response to a request from vehicle management unit 270, extracts information that matches the conditions indicated by the request. Area information storage section 430 may output the extracted information to vehicle management section 270 .

In this embodiment, the inventory information storage unit 440 acquires information on each of the plurality of furnishings stored in the distribution center 130 from the incoming/outgoing management server 132 and stores the information. The inventory information storage unit 440 acquires information on each of the furnishings managed by the delivery management server 110 from the inventory management unit 260 and stores the information.

Inventory information storage unit 440, in response to a request from vehicle management unit 270, extracts information that matches the conditions indicated by the request. Inventory information storage unit 440 may output the extracted information to vehicle management unit 270 .

In this embodiment, the vehicle information storage unit 450 acquires information about each of the plurality of vehicles 120 managed by the delivery system 100 from the vehicle management unit 270 and stores the information. For example, the vehicle information storage unit 450 acquires, from the vehicle 120, information in which the identification information of the vehicle 120, the information indicating the time, and the information indicating the position of the vehicle 120 at that time are associated with each other.

Vehicle information storage unit 450, in response to a request from vehicle management unit 270, extracts information that meets the conditions indicated by the request. Vehicle information storage section 450 may output the extracted information to vehicle management section 270 .

The area information storage section 430 may be an example of a facility information storage section. The inventory information storage unit 440 may be an example of a furnishings information storage unit.

FIG. 5 schematically shows an example of the internal configuration of the inventory management unit 260 in this embodiment. In this embodiment, the inventory information acquisition unit 520 has an in-vehicle image analysis unit 522 and a sensor output analysis unit 524 .

In the present embodiment, the inventory information acquiring unit 520 acquires from each of the plurality of vehicles 120 information regarding the inventory of furnishings mounted on each vehicle. The information about the inventory of the furnishings mounted on the vehicle 120 includes, for example, the identification information of the vehicle, the identification information of each of the plurality of furnishings mounted on the vehicle in the distribution center 130, and the plurality of furnishings. and information indicating the usage status of each. Examples of usage status include available, unavailable, reserved, rented, sold, and the like.

As described above, in the present embodiment, the inventory management server 132 stores information indicating the inventory of furnishings stored in the distribution center 130 in the inventory information storage unit 440 . However, the inventory management unit 260 is not limited to this embodiment. In another embodiment, the inventory information acquiring unit 520 may acquire information indicating the inventory of furnishings stored in the distribution center 130 from the incoming/outgoing management server 132 .

In the present embodiment, the in-vehicle image analysis unit 522 acquires image data of an image of the interior of the vehicle 120 captured by the imaging device arranged inside the vehicle 120 . The in-vehicle image analysis unit 522 analyzes the above images and detects changes in usage of the furnishings installed in the vehicle 120 . For example, the in-vehicle image analysis unit 522 detects that the user 20 using the vehicle 120 has changed into specific furnishings. In this case, the usage status of the furnishings changes from "available" to "rented" or "sold".

The in-vehicle image analysis unit 522 may output information indicating the detection result to the update unit 530 . The in-vehicle image analysis section 522 may output information indicating the detection result to the settlement section 540 .

In this embodiment, the sensor output analysis unit 524 acquires information indicating output results of the sensors from various sensors arranged inside the vehicle 120 . The sensor output analysis unit 524 analyzes the above output results and detects changes in usage of the furnishings mounted on the vehicle 120 . For example, the sensor output analysis unit 524 detects that specific furnishings have been taken out of the vehicle. In this case, the usage status of the furnishings changes from "available" to "rented" or "sold".

The in-vehicle image analysis unit 522 may output information indicating the detection result to the update unit 530 . The in-vehicle image analysis section 522 may output information indicating the detection result to the settlement section 540 .

In the present embodiment, the updating unit 530 acquires information indicating changes in usage of furnishings mounted on the vehicle 120 from the inventory information acquiring unit 520 . The update unit 530 updates the information stored in the inventory information storage unit 440 based on the information indicating the change in usage of furnishings. The updating unit 530 may generate information indicating the usage history of each furnishings based on the information indicating the change in usage status of each furnishings. The update unit 530 may store information indicating the usage history of each furnishings in the inventory information storage unit 440 .

In this embodiment, the settlement unit 540 acquires information indicating changes in usage of furnishings installed in the vehicle 120 from the inventory information acquisition unit 520 . The settlement unit 540 executes processing for billing the user 20 based on the above information. For example, the settlement unit 540 calculates usage fees for services provided to the user 20, fees for goods transferred to the user 20, and the like. The settlement unit 540 may present the user 20 with information on various calculated charges. For example, the settlement unit 540 transmits a command for notifying the user 20 of the information on the fee to the display device or the audio output device mounted on the vehicle 120 . The settlement unit 540 may transmit the above-mentioned information regarding the charge to the communication terminal 22 of the user 20 .

In one embodiment, the settlement unit 540 calculates the rental fee for furnishings used by the user 20 . In another embodiment, the settlement unit 540 calculates the selling price of the furnishings purchased by the user 20 . In another embodiment, the checkout unit 540 calculates the fitting fee for the furnishings that the user 20 has tried on. In still another embodiment, the checkout unit 540 calculates the shipping charges for the furnishings delivered to the user 20 .

In addition, the settlement unit 540 executes the above-described expense settlement processing. When it is detected that the user 20 leaves the vehicle 120, the settlement unit 540 may execute the above-described expense settlement process. Note that the payment method is not particularly limited. For example, the settlement unit 540 transmits a request to a server that provides an arbitrary electronic settlement service to start electronic settlement processing for the account of the user 20 .

Further, if the user 20 is detected to have acted fraudulently while the user 20 is using the service provided by the delivery system 100, processing for claiming a penalty may be executed. For example, when a fraudulent act by the user 20 is detected and it is detected that the user 20 leaves or leaves the vehicle 120 while the fraudulent state is not resolved, the vehicle 120 prompts the user 20 for confirmation. output a message for Note that the delivery system 100 may transmit the above message to the communication terminal 22 of the user 20 .

Even if the above message is notified, if the above fraudulent state is not resolved, the settlement unit 540 may incur a penalty if there is no contact from the user 20 within a predetermined period. A message indicating this may be sent to the communication terminal 22 of the user 20 . The settlement unit 540 may send the above message multiple times. If contact from the user 20 is not confirmed within the above period, the settlement unit 540 may execute settlement processing for the penalty. For example, the settlement unit 540 transmits a request to a server that provides an arbitrary electronic settlement service to start electronic settlement processing for the account of the user 20 .

FIG. 6 schematically shows an example of the internal configuration of the vehicle management section 270. As shown in FIG. In this embodiment, the vehicle management section 270 includes a vehicle information acquisition section 620 , a demand prediction section 630 , a return determination section 640 and a vehicle allocation section 650 .

In this embodiment, the vehicle information acquisition unit 620 acquires information about the operation of each of the vehicles 120 managed by the delivery system 100 . For example, from each of the plurality of vehicles 120, the vehicle information acquisition unit 620 obtains information in which identification information of the vehicle, information indicating the time, and information indicating the position of the vehicle at the time are associated with each other. get. The vehicle information acquisition unit 620 may store the information acquired from each vehicle by the vehicle information acquisition unit 620 in the vehicle information storage unit 450 .

In this embodiment, the demand prediction unit 630 predicts the demand for furnishings within the delivery area. The demand prediction unit 630 anticipates demand for (i) trying on or purchasing furnishings by the user 20, or (ii) changing or adding furnishings worn or carried by the user 20 within the delivery area. The above demand areas may be extracted. The demand prediction unit 630 may determine whether or not the degree of demand exceeds a predetermined degree for at least some of the one or more points arranged within the delivery area. Details of the demand prediction unit 630 will be described later.

In this embodiment, the return determining unit 640 determines whether or not to return each of the plurality of vehicles 120 managed by the delivery system 100 to the distribution center 130 . For example, the return determining unit 640 extracts vehicles 120 that meet a specific condition from among the multiple vehicles 120 . The return decision unit 640 decides to return the extracted vehicle 120 to the distribution center 130 . The specific conditions may be conditions related to vehicle or furnishings usage.

In one embodiment, the return determination unit 640 outputs the extracted identification information of the vehicle 120 and information indicating that the next destination of the vehicle is the distribution center 130 to the vehicle allocation unit 650 . In another embodiment, the return determining unit 640 transmits information indicating that the vehicle should return to the distribution center 130 to the extracted vehicle 120 or a communication terminal (not shown) used by the driver of the vehicle. do. Thereby, the return determining unit 640 can move each of the plurality of vehicles 120 to the distribution center 130 at an appropriate timing according to the situation of the vehicle.

More specifically, the return determining unit 640 analyzes the usage status of one or more furnishings mounted on each vehicle 120 for each of the vehicles 120 . For example, the return determination unit 640 refers to the inventory information storage unit 440, and for each of the plurality of vehicles 120, (i) the number of unused furnishings mounted on the vehicle is determined in advance as a first and (ii) whether the ratio of unused furnishings to one or more furnishings mounted on the vehicle is smaller than a predetermined second value Determine at least one of Return determining unit 640 extracts vehicles 120 whose determination results satisfy predetermined conditions as vehicles 120 to be returned to distribution center 130 . Examples of the predetermined condition include a condition that the number of unused furnishings is smaller than a first value, a condition that the ratio of unused furnishings is smaller than a second value, and the like.

The return determination unit 640 may perform the above determination process for a specific type of furnishings. The return determination unit 640 may extract vehicles 120 that satisfy predetermined conditions in the determination results regarding the specific type of furnishings as vehicles 120 to be returned to the distribution center 130 .

The return determination unit 640 may perform the above determination process for each type of furnishings. In this case, the return determining unit 640 may extract the vehicles 120 that satisfy the predetermined conditions for the determination results regarding at least one type of furnishings as the vehicles 120 to be returned to the distribution center 130 .

Also, if a suspicious object is detected inside the vehicle 120 while the user 20 is using the service provided by the delivery system 100, there is a possibility that the user 20 will leave his belongings behind in the vehicle. There is Therefore, when it is detected that the user 20 leaves or leaves the vehicle 120 after the suspicious object is detected but before the suspicious object is no longer detected, the vehicle 120 sends a message to prompt the user 20 for confirmation. to output Note that the delivery system 100 may transmit the above message to the communication terminal 22 of the user 20 .

If the suspicious object is still detected after a predetermined period of time has passed since the message was sent, the return determining unit 640 returns the vehicle 120 in which the suspicious object is detected to the distribution center 130. may decide to return to The return determining unit 640 may also send a message to the communication terminal 22 of the user 20 indicating that the suspicious item will be stored at the distribution center 130 .

In this embodiment, the dispatch unit 650 manages the operation of the vehicles 120 . In one embodiment, the dispatch unit 650 manages operation of each of the one or more vehicles 120 based on distribution requests from the user 20 . In another embodiment, the dispatch unit 650 manages operation of each of the one or more vehicles 120 based on the prediction result of the demand prediction unit 630. FIG. In yet another embodiment, the dispatch unit 650 manages operation of each of the one or more vehicles 120 based on the determination result of the return determination unit 640. FIG. The details of the dispatch unit 650 will be described later.

The demand prediction unit 630 may be an example of an area extraction unit and a demand determination unit. The dispatch unit 650 may be an example of an operation management unit and an allocation unit.

FIG. 7 schematically shows an example of the internal configuration of the demand forecasting section 630. As shown in FIG. In this embodiment, the demand prediction unit 630 includes a delivery event detection unit 720 , a demand map generation unit 740 and a vehicle allocation area determination unit 760 . In this embodiment, the delivery event detection unit 720 has a delivery request analysis unit 730 , a user information analysis unit 732 , an area information analysis unit 734 , a WEB information analysis unit 736 and an area image analysis unit 738 .

In this embodiment, the delivery event detection unit 720 detects an event (sometimes referred to as a delivery event) related to the delivery of furnishings. For example, the delivery event detection unit 720 detects events that (i) try on or purchase furnishings by the user 20, or (ii) change or add to furnishings worn or carried by the user 20. to detect

The delivery event detector 720 determines the degree of demand based on the delivery event detection result. The degree of demand may be indicated by continuous numerical values, or may be indicated by gradual divisions. The delivery event detection unit 720 may associate information indicating the position of the location where the delivery event was detected with information indicating the degree of demand at the location, and output the information to the demand map generation unit 740 . Delivery event detection section 720 may output the above information to vehicle allocation area determination section 760 .

The delivery event detection unit 720 may extract a point where the level of demand exceeds a predetermined level as one of the demand areas. The delivery event detector 720 may output information indicating the location of the demand area to the demand map generator 740 . Delivery event detection section 720 may output the above information to vehicle allocation area determination section 760 .

In this embodiment, the delivery request analysis section 730 acquires the delivery request from the user 20 received by the delivery request receiving section 220 . The delivery request analysis unit 730 analyzes the delivery request and determines the degree of demand based on the analysis result.

For example, when the delivery request receiving unit 220 receives the delivery request, the delivery request analysis unit 730 determines that the level of demand at the specific location indicated by the delivery request exceeds a predetermined level. Also, the delivery request analysis unit 730 may extract a specific point indicated by the delivery request as a demand area.

The delivery request analysis unit 730 may determine that the level of demand at the specific location indicated by the delivery request exceeds a predetermined level at the desired delivery time or scheduled delivery time associated with the delivery request. Further, the delivery request analysis unit 730 may extract, as a demand area, a specific point indicated by the delivery request at the desired delivery time or scheduled delivery time related to the delivery request.

The delivery request analysis unit 730 parses the plurality of delivery requests received by the delivery request receiving unit 220 into a delivery request designating each of the multiple areas set within the delivery area, based on the locations indicated by the respective delivery requests. The number or reception frequency may be calculated. The delivery request analysis unit 730 may extract, as a demand area, an area where the number of delivery requests or the reception frequency satisfies a predetermined criterion. The delivery request analysis unit 730 analyzes the plurality of delivery requests received by the delivery request receiving unit 220 based on the locations and times indicated by the respective delivery requests, and performs delivery that specifies each of the plurality of areas set within the delivery area. The number of requests or the frequency of reception may be calculated for each time zone divided by any criteria. As a result, the delivery request analysis unit 730 can extract demand areas for each time period.

The delivery request analysis unit 730 sends (i) information indicating the position of the demand area, or (ii) information indicating the position of the demand area and information indicating the desired delivery time or scheduled delivery time to the demand map generation unit 740. can be output to Delivery request analysis section 730 may output the above information to vehicle allocation area determination section 760 .

The delivery request analysis unit 730 may analyze the delivery type information included in the delivery request to identify the type of furnishings to be delivered. Examples of the type of furnishings include attributes of the furnishings, dimensions of the furnishings, and the like. The delivery request analysis unit 730 may output information regarding the type of furnishings to be delivered to the vehicle allocation unit 650 .

Thereby, for example, operation of the vehicle 120 can be managed based on the attribute of furnishings indicated by the delivery type information. Further, operation of the vehicle 120 can be managed based on the location indicated by the delivery request and the attributes of the furnishings indicated by the delivery type information.

In this embodiment, the user information analysis unit 732 acquires information indicating the schedule of the user 20 by referring to the user information storage unit 420 . The user information analysis unit 732 may determine that the level of demand at the location indicated by the information exceeds a predetermined level at the time indicated by the information indicating the schedule or at the beginning or end of the period. Also, the user information analysis unit 732 may extract the location indicated by the information indicating the schedule as the demand area.

The user information analysis unit 732 collects (i) information indicating the position of the demand area, or (ii) information indicating the position of the demand area and information indicating the time or the start or end of the period indicated by the information indicating the schedule may be output to the demand map generator 740 . Delivery event detection section 720 may output the above information to vehicle allocation area determination section 760 .

The user information analysis unit 732 may analyze the information indicating the behavior of the user 20 included in the information indicating the schedule of the user 20 and determine the type of furnishings to be delivered. Specifically, the user information analysis unit 732 determines attributes of furnishings that are expected to be in demand, based on the behavior of the user 20 . The user information analysis section 732 may output information regarding the type of furnishings to be delivered to the delivery section 650 .

Thereby, for example, operation of the vehicle 120 can be managed based on the attribute of furnishings determined by the user information analysis unit 732 . Further, operation of the vehicle 120 can be managed based on the position of the user 20 at the time or period indicated by the schedule and the attribute of the furnishings determined by the user information analysis unit 732 .

In this embodiment, the area information analysis unit 734 refers to the area information storage unit 430 and acquires information regarding each of the one or more facilities 30 arranged within the delivery area. The area information analysis unit 734 may analyze information about each facility to determine the degree of demand for the location of each facility. The area information analyzer 734 may analyze information about each facility to determine the degree of demand for the location of each facility at a particular time or period.

Specifically, the area information analysis unit 734 refers to the area information storage unit 430 and acquires information indicating the location of each facility and information indicating the time zone in which each facility is used. The area information analysis unit 734 may determine that the level of demand at each facility exceeds a predetermined level during the time period in which each facility is used. Also, the area information analysis unit 734 may extract the position of the facility 30 determined to have a level of demand exceeding a predetermined level as the demand area.

The area information analysis unit 734 obtains (i) information indicating the position of the demand area, or (ii) information indicating the position of the demand area and information indicating the time period during which the facility 30 arranged in the demand area is used. may be output to the demand map generator 740 . The area information analysis section 734 may output the above information to the vehicle allocation area determination section 760 .

The area information analysis unit 734 may determine the type of furnishings to be delivered based on the type of facility 30 determined to have a degree of demand exceeding a predetermined degree. For example, the area information analysis unit 734 refers to a database that stores the type of facility and information indicating the attributes of the furnishings of the user of the facility in association with each other to determine the furnishings corresponding to the facility 30. Extract information indicating attributes. The area information analysis unit 734 may output the extracted information to the vehicle allocation unit 650 as the type of furnishings to be delivered.

When the area information storage unit 430 stores information indicating the attributes of furnishings of users of each facility, the area information analysis unit 734 refers to the area information storage unit 430 to determine the degree of demand in advance. Acquires information indicating the attributes of the furnishings of the user of the facility 30 determined to exceed the specified degree. The area information analysis unit 734 may output the acquired information to the vehicle allocation unit 650 as the type of furnishings to be delivered.

Thereby, for example, operation of the vehicle 120 can be managed based on the attribute of furnishings determined by the area information analysis unit 734 . Also, the operation of the vehicle 120 can be managed based on the position of at least some points within the delivery area and the attributes of furnishings determined by the area information analysis unit 734 .

In this embodiment, the WEB information analysis unit 736 analyzes various information existing on the WEB and extracts one or more demand areas. The web information analysis unit 736 may analyze the information acquired by the web information acquisition unit 340 and extract one or more demand areas. The web information analysis unit 736 may analyze the information associated with the information indicating the time or period and the information indicating the position or area to extract one or more demand areas. The web information analysis unit 736 may analyze at least one of weather information, news information, and information on SNS to extract one or more demand areas.

For example, the web information analysis unit 736 compares the weather at the current time with the weather at a specific other time for each location or area within the delivery area. The web information analysis unit 736 may determine that the degree of demand for furnishings exceeds a predetermined degree at locations where the degree of weather change is greater than the predetermined degree. Also, the area information analysis unit 734 may extract a position where the level of demand is determined to exceed a predetermined level as a demand area.

For example, the WEB information analysis unit 736 analyzes news information or information on SNS to detect the occurrence of a predetermined type of event or the occurrence of a predetermined type of event. do. Also, the WEB information analysis unit 736 identifies the location or area where the event occurred. The WEB information analysis unit 736 may specify the type of event, the time or period of occurrence of the event, and the position or area of occurrence of the event. The WEB information analysis unit 736 may extract the occurrence position or area of the event as the demand area.

The WEB information analysis unit 736 obtains (i) information indicating the position of the demand area, or (ii) information indicating the position of the demand area and information indicating the time period during which the facility 30 arranged in the demand area is used. may be output to the demand map generator 740 . The web information analysis section 736 may output the above information to the vehicle allocation area determination section 760 . Accordingly, operation of the vehicle 120 can be managed based on the analysis result of the web information analysis unit 736. FIG.

In this embodiment, the area image analysis section 738 acquires the image data acquired by the image data acquisition section 350 from the image data acquisition section 350 . The area image analysis unit 738 analyzes the above image data to detect a group of people. When the size of the detected group exceeds a predetermined size, the area image analysis unit 738 may determine that the degree of demand at the location where the group was detected exceeds a predetermined degree. When the degree of matching of the attributes of the furnishings of each person constituting the detected group exceeds a predetermined degree, the area image analysis unit 738 detects the degree of demand at the point where the group is detected. , may be determined to exceed a predetermined degree. Also, the area image analysis unit 738 may extract a position where the level of demand is determined to exceed a predetermined level as a demand area.

The area image analysis unit 738 obtains (i) information indicating the position of the demand area, or (ii) information indicating the position of the demand area and information indicating the time period during which the facility 30 arranged in the demand area is used. may be output to the demand map generator 740 . Area image analysis section 738 may output the above information to vehicle allocation area determination section 760 .

Area image analyzer 738 may analyze the image data to determine the type of furnishings to be delivered. For example, the area image analysis unit 738 may analyze the above image data to identify the attributes of the furnishings of each of the plurality of people forming the above group. The area image analysis unit 738 may determine the type of furnishings for the group based on the analysis result. Examples of the type of furnishings include attributes of the furnishings, dimensions of the furnishings, and the like. The area image analysis unit 738 may determine the type of furnishings in the group as the type of furnishings to be delivered. The area image analysis unit 738 may output information indicating the type of furnishings to be delivered to the vehicle allocation unit 650 .

Thereby, for example, the operation of the vehicle 120 can be managed based on the attributes of the furnishings determined by the area image analysis unit 738 . Also, the operation of the vehicle 120 can be managed based on the position of the point where the group is detected and the attributes of the furnishings determined by the area image analysis unit 738 .

In this embodiment, the demand map generator 740 generates a demand map for the delivery area based on the information output by the delivery event detector 720. FIG. The demand map generator 740 may generate the above-described demand map based on past demand results. The demand map generation unit 740 may generate the above demand map based on the information output by the delivery event detection unit 720 and past demand records. The demand map generator 740 may generate a demand map for each attribute of furnishings. The demand map generator 740 may generate a demand map at the current time, or may generate a demand map at a specific time or period.

The demand map may be information in which information indicating a position within the delivery area is associated with information indicating the degree of demand for furnishings at that position. The demand map may be information in which information indicating attributes of furnishings, information indicating positions within a delivery area, and information indicating the degree of demand for furnishings at the positions are associated with each other. The demand map may be information in which information indicating a position within a delivery area, information indicating the degree of demand for furnishings at that position, and information indicating the content of that demand are associated with each other.

In this embodiment, the vehicle allocation area determination unit 760 determines the locations or areas to which the multiple vehicles 120 are to be allocated based on the information output by the delivery event detection unit 720 . For example, the delivery area determination unit 760 determines to place the vehicle 120 in each of one or more demand areas extracted by the delivery event detection unit 720 . The vehicle allocation area determination unit 760 may determine to arrange the vehicle 120 in an area with a high degree of demand among the one or more demand areas extracted by the delivery event detection unit 720 . The vehicle allocation area determination unit 760 may determine the locations or areas to which the plurality of vehicles 120 are allocated based on the information output by the delivery event detection unit 720 and past demand results.

The operator of the delivery management server 110 may modify the vehicle allocation plan determined by the vehicle allocation area determination unit 760 . The vehicle allocation plan includes (i) information indicating the time or time period, (ii) information indicating the position or area, and (iii) the number of vehicles 120 to be dispatched to the position or area at the time or the time period. It may be information associated with the indicated information. The operator of the delivery management server 110 corrects the vehicle allocation plan determined by the vehicle allocation area determination unit 760 based on the demand map generated by the demand map generation unit 740, for example. The operator of the delivery management server 110 may input to the delivery management server 110 an instruction to correct the vehicle allocation plan. When a correction instruction is input from the operator, the vehicle allocation area determination unit 760 may correct the vehicle allocation plan based on the correction instruction.

The delivery event detector 720 may be an example of a demand determiner. The delivery request analysis unit 730 may be an example of a request reception unit and a demand determination unit. The user information analysis unit 732 may be an example of a user information acquisition unit, a demand determination unit, and a first demand type determination unit. The area information analysis unit 734 may be an example of a facility information acquisition unit, a demand determination unit, and a second demand type determination unit. The web information analysis unit 736 may be an example of a demand determination unit. The area image analysis unit 738 may be an example of an image acquisition unit, a crowd detection unit, a demand determination unit, and a third demand type determination unit. The vehicle allocation area determination unit 760 may be an example of a demand determination unit and an area extraction unit.

FIG. 8 schematically shows an example demand map 800 . In this embodiment, the demand map 800 shows the location of the extracted demand area 830 inside the delivery area 810 . In this embodiment, the delivery area 810 is divided into multiple unit areas 820 . In this embodiment, the demand map 800 indicates the positions of the parking spaces 40 provided in each of the plurality of unit areas 820 .

[Overview of Vehicle Allocation Unit 650]
FIG. 9 schematically shows an example of the internal configuration of the delivery unit 650. As shown in FIG. In this embodiment, the vehicle allocation unit 650 includes a vehicle allocation determination unit 920 and a destination information transmission unit 930 .

In this embodiment, for each of the one or more demand areas determined by the delivery event detection unit 720, the vehicle allocation determination unit 920 determines one or more vehicles 120 to be arranged in the demand area. For example, the vehicle allocation determination unit 920 refers to the inventory information storage unit 440, and based on attributes of furnishings expected to be in demand in each of the one or more demand areas determined by the delivery event detection unit 720, selects a plurality of vehicles 120. Among them, one or more vehicles 120 to be assigned to each of one or more demand areas are determined.

In one embodiment, the furnishings to be carried on a particular vehicle 120 are selected for a particular user 20 . On the other hand, in other embodiments, the furnishings installed on a particular vehicle 120 may be determined in conjunction with a commercial initiative. The furnishings installed on a particular vehicle 120 may be determined based on the ideas or suggestions of a particular stylist. A particular vehicle 120 may carry a single brand of clothing. A particular vehicle 120 may carry multiple brands of clothing. A particular vehicle 120 may be equipped with accessories having particular attributes. For example, a specific vehicle 120 may be equipped with only a specific type of furnishings or only a specific system of furnishings. Also, a particular vehicle 120 may carry a particular size of clothing item. Therefore, the vehicle allocation determination unit 920 plans vehicle allocation in consideration of the attributes of furnishings mounted on each vehicle, so that the operating rate of the vehicle 120 can be improved.

The vehicle dispatch determination unit 920 may determine allocation of the one or more vehicles 120 such that more furnishings are delivered to each of the one or more demand areas than is necessary for the change or addition. The vehicle allocation determination unit 920 selects each of the one or more demand areas so that the number of furnishings corresponding to the demand for women's furnishings is greater than the number of furnishings corresponding to the demand for men's furnishings. may determine one or more vehicles 120 to assign to. The vehicle allocation determination unit 920 may determine the number of vehicles 120 to be allocated to a specific demand area based on the number or ratio of women present in the specific demand area.

The vehicle allocation determination unit 920 may determine the number of vehicles 120 to be allocated to the vehicle allocation request or the number of furnishings to be allocated to the vehicle allocation request based on the gender of the user 20 who transmitted the vehicle allocation request. The number of vehicles 120 allocated when the user 20 who has sent the vehicle allocation request is female may be greater than the number of vehicles allocated when the user 20 who has transmitted the vehicle allocation request is male. The number of furnishings assigned when the user 20 who has sent the vehicle dispatch request is female may be greater than the number of furnishings which are assigned when the user 20 who has sent the vehicle dispatch request is male.

The vehicle allocation determination unit 920 determines the number of vehicles 120 to be allocated to the vehicle allocation request or the number of furnishings to be allocated to the vehicle allocation request based on the occupation or position of the user 20 who transmitted the vehicle allocation request. good. The number of vehicles 120 to be allocated when the occupation or position of the user 20 who has sent the vehicle allocation request satisfies the predetermined conditions is It may be more than the number of vehicles allocated. The number of furnishings to be allocated when the occupation or position of the user 20 who has transmitted the vehicle allocation request satisfies the predetermined conditions is It can be more than the number of allotted furnishings. Examples of the predetermined conditions include a condition that the type of occupation is a specific type, a condition that the type of position is a specific type, and the like.

The vehicle allocation determination unit 920 determines the layout of the plurality of vehicles 120 so that other vehicles 120 having at least part of the attributes of the furnishings to be mounted on them are allocated within the delivery area of the specific vehicle 120. good. The dispatch determination unit 920 may output the determination result to the destination information transmission unit 930 . Thereby, the operating rate of the plurality of vehicles 120 can be improved.

In this embodiment, the destination information transmission unit 930 manages operation of the plurality of vehicles 120 based on the determination result of the vehicle allocation determination unit 920 . In one embodiment, the destination information transmitter 930 sends a message to the vehicle 120 assigned to the specific delivery request by the dispatch determination unit 920 or to a communication terminal (not shown) used by the driver of the vehicle. , information indicating the destination of the vehicle, information indicating the scheduled delivery time, and identification information of the user 20 are transmitted. In another embodiment, the destination information transmission unit 930 sends a message to the vehicle 120 to which the dispatch decision unit 920 has assigned to wait in a specific demand area or to a communication terminal (not shown) used by the driver of the vehicle. In response, information indicating the destination of the vehicle and information indicating the estimated time of arrival are transmitted.

The destination information transmission section 930 may manage operation of the plurality of vehicles 120 based on the determination result of the return determination section 640 . The destination information transmission unit 930 sends a return message to the vehicle 120 determined to return to the distribution center 130 by the return determination unit 640 or to a communication terminal (not shown) used by the driver of the vehicle. Send orders. The return instruction may include information indicating a deadline or target time for return.

[Overview of Vehicle Allocation Processing in Vehicle Allocation Unit 650]
For example, the dispatch unit 650 selects a location or area (sometimes called a dispatch target area) where demand is expected at a first time or period (sometimes called a first time) according to the following procedure. .) to determine one or more vehicles 120 to be dispatched. Note that the order of each procedure may be changed as long as there is no technical contradiction.

According to the present embodiment, first, the vehicle allocation determining unit 920 extracts vehicles 120 loaded with at least one furnishings expected to be in demand at the first hour from the vehicles 120 that can be allocated. Next, the vehicle allocation determination unit 920 ranks the extracted vehicles 120 based on at least one of the loading amount of furnishings expected to be in demand during the first hour and the number of types of furnishings. The vehicle allocation determination unit 920 determines vehicles 120 ranked higher than a predetermined order as candidates for vehicles 120 to be allocated to the vehicle allocation target area.

Next, the vehicle allocation determination unit 920 extracts the vehicles 120 that can arrive at the vehicle allocation target area within a predetermined period from the vehicles 120 selected as the candidates. The vehicle allocation determination unit 920 determines one of the extracted vehicles 120 as the first candidate. For example, among the extracted vehicles 120, the vehicle allocation determining unit 920 determines the vehicle 120 with the highest ranking or the vehicle 120 with the earliest scheduled arrival time to the vehicle allocation target area as the first candidate. If the estimated value of the length of the period in which demand is expected is smaller than a predetermined value, the vehicle allocation determination unit 920 selects the vehicle 120 with the highest ranking among the extracted vehicles 120 as the second vehicle. It may be determined as one candidate.

In addition, the vehicle allocation determination unit 920 determines the number of extracted vehicles 120 based on at least one of the amount of furnishings that are expected to be in demand during the first hour, the number of types of furnishings, and the estimated time of arrival. Each may be given a score. The vehicle allocation determining unit 920 may determine the vehicle 120 as the first candidate based on the score. For example, the vehicle allocation determination unit 920 determines the vehicle 120 given the highest score as the first candidate. The vehicle allocation determining unit 920 may determine the vehicle 120 as the first candidate from among the plurality of vehicles 120 to which a score higher than a predetermined standard has been assigned.

In one embodiment, the vehicle allocation determining unit 920 determines, based on the past demand record of the vehicle allocation target area, furnishings that are expected to be in demand in the area and are different from the furnishings that are expected to be in demand at the first hour. Determine the attributes of clothing items. Then, the vehicle allocation determining unit 920 ranks the plurality of vehicles 120 based on at least one of the amount of furnishings having the newly determined attribute and the number of types of the furnishings. Vehicle allocation determination unit 920 determines vehicle 120 with the highest rank as the first candidate.

In another embodiment, the vehicle allocation determining unit 920 determines the demand in the vehicle allocation target area at the time (sometimes referred to as the second time) when a predetermined period has elapsed from the end of the first time period, A vehicle 120 that is the first candidate is determined. For example, the vehicle allocation determination unit 920 determines attributes of furnishings that are expected to be in demand at the second hour and different from the furnishings that are expected to be in demand at the first hour.

Then, the vehicle allocation determining unit 920 ranks the plurality of vehicles 120 based on at least one of the amount of furnishings having the newly determined attribute and the number of types of the furnishings. Vehicle allocation determination unit 920 determines vehicle 120 with the highest rank as the first candidate. For example, if demand for high heels is expected at the first hour, and demand for high heels and sneakers is expected at the second hour two hours after the first hour, the vehicle dispatch determination unit 920 determines that the number of sneakers with a large load capacity is expected. A vehicle 120 or a vehicle 120 on which many types of sneakers are mounted is determined as a first candidate.

If no vehicle 120 that can arrive at the vehicle allocation target area within a predetermined period is extracted, the vehicle allocation determining unit 920 may extend the period and execute the extraction process again. The vehicle allocation determination unit 920 may repeat the extraction process described above until a vehicle 120 that satisfies the conditions is extracted. In another embodiment, if no vehicle 120 that can arrive at the vehicle allocation target area within a predetermined period is extracted, the vehicle allocation determining unit 920 determines that vehicle allocation cannot be executed for the demand. , the dispatch process may be terminated.

Next, the vehicle allocation determining unit 920 determines whether or not the vehicle 120 determined as the first candidate can meet the demand. If it is determined that the demand is sufficiently met, the destination information transmission unit 930 sends the vehicle 120 determined as the first candidate or a communication terminal (not shown) used by the driver of the vehicle. ), information indicating the destination of the vehicle may be transmitted, and the vehicle allocation process may be terminated.

On the other hand, when it is determined that the demand is not sufficiently met, the vehicle allocation determination unit 920 determines the attribute and quantity of furnishings that are in short supply. For example, the vehicle allocation determining unit 920 first extracts one or more vehicles 120 capable of delivering the missing furnishings from the vehicles 120 selected as candidates.

In the above extraction process, if the vehicle 120 capable of delivering the missing furnishings is extracted, the vehicle allocation determination unit 920 determines the one or more vehicles 120 extracted in the above extraction process as the first candidates. The vehicle 120 thus obtained is determined as the vehicle 120 to be dispatched to the dispatch target area. Then, the destination information transmitting unit 930 transmits the destination of the vehicle to the communication terminal (not shown) used by the vehicle 120 determined to be dispatched to the vehicle allocation target area or the driver of the vehicle. may be transmitted and the vehicle allocation process may be terminated.

On the other hand, if the appropriate vehicle 120 is not included in the vehicles 120 selected as the candidates, the vehicle allocation determination unit 920 performs the same procedure as the procedure for determining the first candidate, A vehicle 120 that can deliver the item may be determined. Then, the destination information transmitting unit 930 transmits the destination of the vehicle to the communication terminal (not shown) used by the vehicle 120 determined to be dispatched to the vehicle allocation target area or the driver of the vehicle. may be transmitted and the vehicle allocation process may be terminated.

The dispatch determination unit 920 may be an example of an operation management unit and an allocation unit. The destination information transmission unit 930 may be an example of an operation management unit.

FIG. 10 schematically shows an example of a vehicle 120. As shown in FIG. In this embodiment, the details of the vehicle 120 will be described by taking as an example the case where the vehicle 120 is an autonomous vehicle. However, it should be noted that vehicle 120 is not limited to this embodiment. In other embodiments, vehicle 120 may be moved under the control of a driver.

In this embodiment, the vehicle 120 includes a trolley 1020 and a container 1040 . In this embodiment, trucks 1020 carry containers 1040 . The truck 1020 has, for example, an automatic driving function, and transports the container 1040 to the destination.

In this embodiment, a display space 1042 and a fitting space 1044 are provided inside the container 1040 . In this embodiment, display members 1052 for displaying furnishings 50 are arranged in the display space 1042 . In this embodiment, the fitting space 1044 is provided with a locker 1054 for temporarily storing the furnishings that the user 20 has been wearing.

In this embodiment, exhibit space 1042 is provided with one or more surveillance cameras 1062 , one or more electronic tag readers 1064 , and one or more load cells 1066 . A portion of the plurality of electronic tag readers 1064 and the plurality of load cells 1066 may be provided on the display member 1052 . A part of the plurality of electronic tag readers 1064 and the plurality of load cells 1066 may be arranged inside the fitting space 1044 . On the other hand, in this embodiment, the fitting space 1044 is not provided with the monitoring camera 1062 .

In this embodiment, surveillance camera 1062 images the inside of exhibition space 1042 . The image data of the image captured by the surveillance camera 1062 may be transmitted to the delivery management server 110 . The image may be a moving image or a still image.

In this embodiment, the electronic tag reader 1064 detects electronic tags present inside the container 1040 . Examples of electronic tags include IC tags and RFID tags. For example, one or more electronic tags are arranged for each of a plurality of furnishings mounted on the vehicle 120 . The electronic tag reader 1064 outputs information indicating the detection result. The electronic tag reader 1064 may output the information indicating the detection result and the information indicating the detection time in association with each other. Data output by the electronic tag reader 1064 may be transmitted to the delivery management server 110 .

In this embodiment, load cell 1066 measures the mass of user 20 as user 20 enters the interior of exhibit space 1042 . Load cell 1066 measures the mass of user 20 as user 20 exits exhibit space 1042 . The load cell 1066 outputs information indicating the measurement results. The load cell 1066 may output the information indicating the measurement result and the information indicating the measurement time in association with each other. The data output by load cell 1066 may be transmitted to delivery management server 110 .

FIG. 11 illustrates an example computer 3000 upon which aspects of the present invention may be embodied, in whole or in part. Delivery system 100 or a portion thereof may be implemented by computer 3000 . For example, delivery management server 110 is implemented by computer 3000 .

Programs installed on the computer 3000 cause the computer 3000 to function as one or more "parts" of operations or one or more "parts" of an apparatus according to embodiments of the invention, or to and/or cause the computer 3000 to perform processes or steps of processes according to embodiments of the present invention. Such programs may be executed by CPU 3012 to cause computer 3000 to perform certain operations associated with some or all of the blocks in the flowcharts and block diagrams described herein.

Computer 3000 according to this embodiment includes CPU 3012 , RAM 3014 , graphics controller 3016 , and display device 3018 , which are interconnected by host controller 3010 . Computer 3000 also includes input/output units such as communication interface 3022 , hard disk drive 3024 , DVD-ROM drive 3026 and IC card drive, which are connected to host controller 3010 via input/output controller 3020 . The computer also includes legacy input/output units such as ROM 3030 and keyboard 3042 , which are connected to input/output controller 3020 via input/output chip 3040 .

The CPU 3012 operates according to programs stored in the ROM 3030 and RAM 3014, thereby controlling each unit. Graphics controller 3016 retrieves image data generated by CPU 3012 into a frame buffer or the like provided in RAM 3014 or itself, and causes the image data to be displayed on display device 3018 .

Communication interface 3022 communicates with other electronic devices over a network. Hard disk drive 3024 stores programs and data used by CPU 3012 within computer 3000 . DVD-ROM drive 3026 reads programs or data from DVD-ROM 3001 and provides programs or data to hard disk drive 3024 via RAM 3014 . The IC card drive reads programs and data from IC cards and/or writes programs and data to IC cards.

ROM 3030 stores therein programs that are dependent on the hardware of computer 3000, such as a boot program that is executed by computer 3000 upon activation. Input/output chip 3040 may also connect various input/output units to input/output controller 3020 via parallel ports, serial ports, keyboard ports, mouse ports, and the like.

A program is provided by a computer-readable storage medium such as a DVD-ROM 3001 or an IC card. The program is read from a computer-readable storage medium, installed in hard disk drive 3024 , RAM 3014 , or ROM 3030 , which are also examples of computer-readable storage media, and executed by CPU 3012 . The information processing described within these programs is read by computer 3000 to provide coordination between the programs and the various types of hardware resources described above. An apparatus or method may be configured by implementing information operations or processing according to the use of computer 3000 .

For example, when communication is performed between the computer 3000 and an external device, the CPU 3012 executes a communication program loaded into the RAM 3014 and sends communication processing to the communication interface 3022 based on the processing described in the communication program. you can command. Under the control of the CPU 3012, the communication interface 3022 reads transmission data stored in a transmission buffer area provided in a recording medium such as the RAM 3014, the hard disk drive 3024, the DVD-ROM 3001, or an IC card, and transmits the read transmission data. Data is transmitted to the network, or received data received from the network is written in a receive buffer area or the like provided on the recording medium.

In addition, the CPU 3012 causes the RAM 3014 to read all or necessary portions of files or databases stored in external recording media such as a hard disk drive 3024, a DVD-ROM drive 3026 (DVD-ROM 3001), an IC card, etc. Various types of processing may be performed on the data in RAM 3014 . CPU 3012 may then write back the processed data to an external recording medium.

Various types of information, such as various types of programs, data, tables, and databases, may be stored on recording media and subjected to information processing. CPU 3012 performs various types of operations on data read from RAM 3014, information processing, conditional decisions, conditional branching, unconditional branching, and information retrieval as specified throughout this disclosure and by instruction sequences of programs. Various types of processing may be performed, including /replace, etc., and the results written back to RAM 3014 . Also, the CPU 3012 may search for information in a file in a recording medium, a database, or the like. For example, when a plurality of entries each having an attribute value of a first attribute associated with an attribute value of a second attribute are stored in the recording medium, the CPU 3012 selects the first attribute from among the plurality of entries. search for an entry that matches the specified condition of the attribute value of the attribute, read the attribute value of the second attribute stored in the entry, and thereby determine the first attribute that satisfies the predetermined condition An attribute value of the associated second attribute may be obtained.

The programs or software modules described above may be stored in a computer readable storage medium on or near computer 3000 . In addition, a recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can be used as a computer-readable storage medium, whereby the above program can be transferred via a network. provided to the computer 3000;

Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It is obvious to those skilled in the art that various modifications and improvements can be made to the above embodiments. In addition, matters described with respect to a specific embodiment can be applied to other embodiments as long as they are not technically inconsistent. Also, each component may have features similar to other components with the same name but different reference numerals. It is clear from the description of the scope of the claims that forms with such modifications or improvements can also be included in the technical scope of the present invention.

The execution order of each process such as actions, procedures, steps, and stages in devices, systems, programs, and methods shown in claims, specifications, and drawings is etc., and it should be noted that they can be implemented in any order unless the output of a previous process is used in a later process. Regarding the operation flow in the claims, specification, and drawings, even if explanations are made using "first," "next," etc. for the sake of convenience, it means that it is essential to carry out in this order. isn't it.

The specification of the present application discloses an information processing system for managing a mobile object or an article mounted on the mobile object. The delivery system 100, the delivery management server 110, the inventory management unit 260, and the vehicle management unit 270 may be an example of the above information processing system. Disclosed herein is a method of managing a vehicle or an article mounted on a vehicle. The specification of the present application discloses a program for causing a computer to function as an information processing system for managing a mobile object or an article mounted on the mobile object. This specification discloses a program for causing a computer to execute a method of managing a mobile object or an article mounted on the mobile object. The above program may be stored in a non-transitory computer-readable medium.

10 communication network, 20 user, 22 communication terminal, 30 facility, 40 parking space, 50 furnishings, 100 delivery system, 110 delivery management server, 120 vehicle, 130 distribution center, 132 storage management server, 220 delivery request receiving unit, 230 response unit, 240 information collection unit, 250 storage unit, 260 inventory management unit, 270 vehicle management unit, 320 user information acquisition unit, 330 area information acquisition unit, 340 WEB information acquisition unit, 350 image data acquisition unit, 420 user information Storage unit 430 Area information storage unit 440 Inventory information storage unit 450 Vehicle information storage unit 520 Inventory information acquisition unit 522 In-vehicle image analysis unit 524 Sensor output analysis unit 530 Update unit 540 Settlement unit 620 Vehicle information Acquisition unit 630 Demand prediction unit 640 Return determination unit 650 Vehicle allocation unit 720 Delivery event detection unit 730 Delivery request analysis unit 732 User information analysis unit 734 Area information analysis unit 736 WEB information analysis unit 738 Area image Analysis unit 740 Demand map generation unit 760 Vehicle allocation area determination unit 800 Demand map 810 Delivery area 820 Unit area 830 Demand area 920 Vehicle allocation determination unit 930 Destination information transmission unit 1020 Truck 1040 Container 1042 Exhibition Space 1044 Fitting Space 1052 Display Material 1054 Locker 1062 Surveillance Camera 1064 Electronic Tag Reader 1066 Load Cell 3000 Computer 3001 DVD-ROM 3010 Host Controller 3012 CPU 3014 RAM 3016 Graphic Controller 3018 Display Device , 3020 input/output controller, 3022 communication interface, 3024 hard disk drive, 3026 DVD-ROM drive, 3030 ROM, 3040 input/output chip, 3042 keyboard

Claims (21)

An information processing device for managing a mobile object carrying furnishings,
Within the delivery area to which the mobile body can deliver the furnishings, (i) fitting or purchase of furnishings by the user, or (ii) change or addition of furnishings worn or carried by the user an area extraction unit that extracts a demand area where demand is expected;
an operation management unit that manages operation of the mobile object based on the position of the demand area extracted by the area extraction unit and the content of the demand;
a demand determination unit that determines whether or not the degree of demand exceeds a predetermined degree for at least some of the one or more points arranged in the delivery area;
a user information acquisition unit that acquires information indicating the user's schedule;
with
The area extraction unit extracts, as the demand area, a point where the degree of demand determined by the demand determination unit exceeds a predetermined degree,
The information indicating the user's schedule includes information indicating the time or period and information indicating the position of the user at the time or period,
The demand determination unit determines the degree of demand at the location indicated by the information acquired by the user information acquisition unit at the time indicated by the information acquired by the user information acquisition unit or at the start or end of the period. is determined to exceed the predetermined degree,
Information processing equipment . The information indicating the user's schedule further includes information indicating the user's behavior at the time or period,
The information processing device is
a first demand type determination unit that determines attributes of the furnishings that are expected to be in demand based on the behavior of the user;
further comprising
The operation management unit manages the operation of the mobile object based on (i) the position of the user at the time or period and (ii) the attribute of the furnishings determined by the first demand type determination unit. ,
The information processing device according to claim 1 . An information processing device for managing a mobile object carrying furnishings,
Within the delivery area to which the mobile body can deliver the furnishings, (i) fitting or purchase of furnishings by the user, or (ii) change or addition of furnishings worn or carried by the user an area extraction unit that extracts a demand area where demand is expected;
an operation management unit that manages operation of the mobile object based on the position of the demand area extracted by the area extraction unit and the content of the demand;
a demand determination unit that determines whether or not the degree of demand exceeds a predetermined degree for at least some of the one or more points arranged in the delivery area;
a facility information acquiring unit that acquires information indicating a time period during which the facilities arranged at the at least some points in the delivery area are used ;
with
The area extraction unit extracts, as the demand area, a point where the degree of demand determined by the demand determination unit exceeds a predetermined degree,
The demand determination unit determines that the degree of demand at the at least one point within the delivery area exceeds the predetermined degree during the time period indicated by the information acquired by the facility information acquisition unit. determine that
Information processing equipment . The facility information acquisition unit further acquires information indicating the type of the facility arranged at the at least part of the points within the delivery area,
The information processing device is
By referring to the facility information storage unit that stores the type of facility and the attribute of the user's furnishings of the facility in association with each other, based on the type of facility indicated by the information acquired by the facility information acquisition unit a second demand type determination unit that determines attributes of the furnishings that are expected to be in demand at the facilities arranged at the at least some points in the delivery area;
further comprising
The operation management unit, based on (i) the position of the at least one point in the delivery area and (ii) the attribute of the furnishings determined by the second demand type determination unit, manage operations,
The information processing apparatus according to claim 3 . An information processing device for managing a mobile object carrying furnishings,
Within the delivery area to which the mobile body can deliver the furnishings, (i) fitting or purchase of furnishings by the user, or (ii) change or addition of furnishings worn or carried by the user an area extraction unit that extracts a demand area where demand is expected;
an operation management unit that manages operation of the mobile object based on the position of the demand area extracted by the area extraction unit and the content of the demand;
a demand determination unit that determines whether or not the degree of demand exceeds a predetermined degree for at least some of the one or more points arranged in the delivery area;
an image acquisition unit that acquires image data of an image captured by an imaging device arranged in the delivery area;
a group detection unit that analyzes the image data acquired by the image acquisition unit and detects a group of people;
with
The area extraction unit extracts, as the demand area, a point where the degree of demand determined by the demand determination unit exceeds a predetermined degree,
When the group detection unit detects the group, the demand determination unit determines that the level of demand at the point where the group is detected exceeds the predetermined level.
Information processing equipment . a third demand type determination unit that analyzes the image data acquired by the image acquisition unit and determines attributes of furnishings of each of the plurality of people constituting the group detected by the group detection unit;
The operation management unit manages the operation of the mobile object based on (i) the position of the point where the group is detected and (ii) the attribute of the furnishings determined by the third demand type determination unit. ,
The information processing device according to claim 5 . The information processing device manages the plurality of moving bodies,
each of the plurality of mobile bodies is equipped with a plurality of furnishings,
The operation management department
For each of the plurality of moving bodies, the furnishings information storage unit storing information indicating attributes of each of the plurality of furnishings mounted on the moving body is referred to, and the furnishings expected to be in demand in the demand area. an allocation unit that determines one or more moving bodies to be allocated to the demand area among the plurality of moving bodies based on the attributes of the goods;
having
The information processing apparatus according to any one of claims 1 to 6 . An information processing device for managing a mobile object carrying furnishings,
Within the delivery area to which the mobile body can deliver the furnishings, (i) fitting or purchase of furnishings by the user, or (ii) change or addition of furnishings worn or carried by the user an area extraction unit that extracts a demand area where demand is expected;
an operation management unit that manages operation of the mobile object based on the position of the demand area extracted by the area extraction unit and the content of the demand;
with
The information processing device manages the plurality of moving bodies,
each of the plurality of mobile bodies is equipped with a plurality of furnishings,
The operation management department
For each of the plurality of moving bodies, the furnishings information storage unit storing information indicating attributes of each of the plurality of furnishings mounted on the moving body is referred to, and the furnishings expected to be in demand in the demand area. an allocation unit that determines one or more moving bodies to be allocated to the demand area among the plurality of moving bodies based on the attributes of the goods;
has
The allocation unit determines the number of moving bodies to be allocated to the specific demand area based on the number or ratio of women present in the specific demand area.
Information processing equipment . An information processing device for managing a mobile object carrying furnishings,
Within the delivery area to which the mobile body can deliver the furnishings, (i) fitting or purchase of furnishings by the user, or (ii) change or addition of furnishings worn or carried by the user an area extraction unit that extracts a demand area where demand is expected;
an operation management unit that manages operation of the mobile object based on the position of the demand area extracted by the area extraction unit and the content of the demand;
with
The information processing device manages the plurality of moving bodies,
each of the plurality of mobile bodies is equipped with a plurality of furnishings,
The operation management department
For each of the plurality of moving bodies, the furnishings that are expected to be in demand in the demand area by referring to a furnishings information storage unit that stores information indicating the attributes of each of the plurality of furnishings mounted on the moving body. an allocation unit that determines one or more moving bodies to be allocated to the demand area among the plurality of moving bodies based on the attributes of the goods;
has
The furnishings information storage unit further stores, for each of the plurality of moving bodies, information indicating a usage history of each of the plurality of furnishings mounted on the moving body,
The operation management department
referring to the furnishings information storage unit, extracting, from among the plurality of moving bodies, moving bodies in which the number or ratio of unused furnishings is smaller than a predetermined value;
Determining to move the extracted moving bodies to a support center where maintenance or management of the plurality of moving bodies or the plurality of furnishings is performed;
Information processing equipment . further comprising a demand determination unit that determines whether or not the level of demand exceeds a predetermined level for at least some of the one or more points arranged in the delivery area;
The area extraction unit extracts, as the demand area, a point where the degree of demand determined by the demand determination unit exceeds a predetermined degree.
The information processing apparatus according to claim 8 or 9 . The allocation unit determines the allocation of the one or more moving bodies so that a larger number of furnishings than the number required for change or addition is delivered to the demand area.
The information processing apparatus according to any one of claims 7 to 10 . The allocation unit allocates the one or more furnishings to the demand area such that the number of furnishings corresponding to the demand for women's furnishings is greater than the number of furnishings corresponding to the demand for men's furnishings. determine the moving body of
The information processing apparatus according to any one of claims 7 to 10 . The operation management unit manages the operations of the plurality of moving bodies so that other moving bodies having at least part of attributes of furnishings to be mounted on the moving bodies are arranged in the delivery area of the specific moving bodies. do,
The information processing apparatus according to any one of claims 7 to 12 . further comprising a request receiving unit that receives a delivery request requesting delivery of furnishings to a specific location from the communication terminal of the user;
the delivery request includes delivery type information indicating attributes of furnishings that the user wishes to deliver;
The operation management unit manages the operation of the mobile object based on (i) the position of the specific point indicated by the delivery request and (ii) the attributes of the furnishings indicated by the delivery type information. do,
The information processing apparatus according to any one of claims 1 to 13 . The area extraction unit analyzes at least one of weather information, news information, and information on SNS to extract the demand area.
The information processing apparatus according to any one of claims 1 to 14 . A program for causing a computer to function as the information processing apparatus according to any one of claims 1 to 15 . An information processing method for managing a mobile object carrying furnishings, comprising:
The computer allows the user to (i) try on or purchase the furnishings by the user, or (ii) change the furnishings worn or carried by the user within the delivery area to which the mobile body can deliver the furnishings. Alternatively, an area extraction step of extracting a demand area where demand for addition is expected,
an operation management step in which the computer manages the operation of the moving object based on the position of the demand area extracted in the area extraction step and the details of the demand;
a demand determination step in which the computer determines whether or not the degree of demand exceeds a predetermined degree for at least some of the one or more points arranged in the delivery area;
a user information obtaining step in which the computer obtains information indicating the user's schedule;
has
The area extraction step includes a step in which the computer extracts, as the demand area, a point where the degree of demand determined in the demand determination step exceeds a predetermined degree,
The information indicating the user's schedule includes information indicating the time or period and information indicating the position of the user at the time or period,
In the demand determination step, the computer determines the information indicated by the information obtained in the user information obtaining step at the time indicated by the information obtained in the user information obtaining step or at the beginning or end of the period. determining that the degree of demand at a location exceeds the predetermined degree;
Information processing methods. An information processing method for managing a mobile object carrying furnishings, comprising:
The computer allows the user to (i) try on or purchase the furnishings by the user, or (ii) change the furnishings worn or carried by the user within the delivery area to which the mobile body can deliver the furnishings. Alternatively, an area extraction step of extracting a demand area where demand for addition is expected,
an operation management step in which the computer manages the operation of the moving object based on the position of the demand area extracted in the area extraction step and the details of the demand;
a demand determination step in which the computer determines whether or not the degree of demand exceeds a predetermined degree for at least some of the one or more points arranged in the delivery area;
a facility information acquiring step in which the computer acquires information indicating a time period during which the facilities arranged at the at least some points in the delivery area are used;
has
The area extraction step includes a step in which the computer extracts, as the demand area, a point where the degree of demand determined in the demand determination step exceeds a predetermined degree,
In the demand determination step, the computer determines whether the degree of demand at the at least part of the locations within the delivery area is determined in the time zone indicated by the information acquired in the facility information acquisition step. including the step of determining that the
Information processing methods. An information processing method for managing a mobile object carrying furnishings, comprising:
The computer allows the user to (i) try on or purchase the furnishings by the user, or (ii) change the furnishings worn or carried by the user within the delivery area to which the mobile body can deliver the furnishings. Alternatively, an area extraction step of extracting a demand area where demand for addition is expected,
an operation management step in which the computer manages the operation of the moving object based on the position of the demand area extracted in the area extraction step and the details of the demand;
a demand determination step in which the computer determines whether or not the degree of demand exceeds a predetermined degree for at least some of the one or more points arranged within the delivery area;
an image acquisition step in which the computer acquires image data of an image captured by an imaging device arranged in the delivery area;
a group detection step in which the computer analyzes the image data acquired in the image acquisition step to detect a group of people;
has
The area extraction step includes a step in which the computer extracts, as the demand area, a point where the degree of demand determined in the demand determination step exceeds a predetermined degree,
In the demand determination step, when the crowd is detected in the crowd detection step, the computer determines that the degree of demand at the point where the crowd is detected exceeds the predetermined degree. include,
Information processing methods. An information processing method for managing a mobile object carrying furnishings, comprising:
The computer allows the user to (i) try on or purchase the furnishings by the user, or (ii) change the furnishings worn or carried by the user within the delivery area to which the mobile body can deliver the furnishings. Alternatively, an area extraction step of extracting a demand area where demand for addition is expected,
an operation management step in which the computer manages the operation of the moving object based on the position of the demand area extracted in the area extraction step and the details of the demand;
has
The information processing method is a method for managing a plurality of the moving bodies,
each of the plurality of mobile bodies is equipped with a plurality of furnishings,
The operation management stage includes:
The computer refers to a furnishings information storage device that stores information indicating the attributes of each of a plurality of furnishings mounted on each of the plurality of mobile bodies, and stores the information about the demand in the demand area. an allocation step of determining one or more moving bodies to be allocated to the demand area among the plurality of moving bodies based on attributes of furnishings that are expected to be used;
including
The allocating step includes the computer determining the number of mobiles to allocate to a particular demand area based on the number or proportion of women present in the particular demand area.
Information processing methods. An information processing method for managing a mobile object carrying furnishings, comprising:
The computer allows the user to (i) try on or purchase the furnishings by the user, or (ii) change the furnishings worn or carried by the user within the delivery area to which the mobile body can deliver the furnishings. Alternatively, an area extraction step of extracting a demand area where demand for addition is expected,
an operation management step in which the computer manages the operation of the moving object based on the position of the demand area extracted in the area extraction step and the details of the demand;
has
The information processing method is a method for managing a plurality of the moving bodies,
each of the plurality of mobile bodies is equipped with a plurality of furnishings,
The operation management stage includes:
The computer refers to a furnishings information storage device that stores information indicating the attributes of each of a plurality of furnishings mounted on each of the plurality of mobile bodies, and stores the information about the demand in the demand area. an allocation step of determining one or more moving bodies to be allocated to the demand area among the plurality of moving bodies based on attributes of furnishings expected to be used;
including
The furnishings information storage device further stores, for each of the plurality of mobile bodies, information indicating a usage history of each of the plurality of furnishings mounted on the movable body,
The operation management stage includes:
a step in which the computer refers to the furnishings information storage device and extracts, from among the plurality of moving bodies, moving bodies in which the number or ratio of unused furnishings is smaller than a predetermined value;
determining, by the computer, to move the extracted mobile object to a support center where maintenance or management of the plurality of mobile objects or the plurality of furnishings is performed;
including,
Information processing methods.

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