JP7569601B2 - Rental price calculation system, rental price calculation method and program - Google Patents

Description

The present invention relates to a technology that is effective in calculating the rental price of a product.

In recent years, due to changes in consumer needs, attention has been focused on technology related to services that allow consumers to rent products and use them whenever they want, rather than purchasing and owning them.
For example, Patent Document 1 discloses a technique for determining the amount to be charged to a customer who rented a rental part for an unreturned rental part based on information about the rental part when the rental part is unreturned or abnormal when returned.
Additionally, Patent Document 2 discloses a technique for attaching an ID tag to a rental product and managing the state of each rental product present at each location along a distribution route.

JP 2002-342674 A JP 2000-035994 A

When renting various products to customers, it is fair to determine the rental price according to the condition of the product. For example, even if the same type of product is in poor condition, the rental price can be lower than that of the product in good condition.
However, since the condition of each product differs after it is returned from rental, it has not been possible to calculate the optimal rental price for the next rental of each product depending on the product's condition.
Therefore, it is necessary to calculate an appropriate rental price for the next rental based on the inspection information of the product returned from rental.
However, the techniques of Patent Documents 1 and 2 cannot calculate an appropriate rental price for the next rental based on the inspection information of the returned product. In general, workers who work to rent out returned rental products again cannot evaluate or set prices based on a certain standard or perspective.

The inventors therefore realized that there was a need for a rental price calculation system, rental price calculation method, and program that would allow an operator to inspect returned rental items and input data to calculate the rental price.

The present invention aims to provide a rental price calculation system, rental price calculation method, and program that calculates an appropriate rental price for the next rental based on inspection information of a product returned from rental.

The present invention provides a rental price calculation system for calculating a rental price of a product,
a product information acquisition unit that acquires product information regarding the rental products being stored;
a list creation unit that creates a list of the products and rental conditions of the products, classified by product type;
an extraction unit that extracts rental conditions from the list created based on product information of the product that the customer wishes to rent;
a provision unit that provides the extracted rental conditions to the customer together with inspection information and price information of the product;
a decision unit that decides to rent the product to the customer if the customer agrees to the provided rental conditions;
a delivery planning unit for planning delivery of the product that the customer has decided to rent;
an inspection information acquisition unit that acquires, as the inspection information, at least the deteriorated state, the degree and the number of the deteriorated products that have been returned from rental and inspected, and the history of repairs, cleaning and washing performed on the deteriorated products;
a rental price calculation unit that calculates a rental price for the next rental of the product based on the acquired inspection information in accordance with the degree of deterioration of the condition of the product;
A customer information acquisition unit that acquires customer information of the customer;
Equipped with
the providing unit determines a preference of the customer based on the acquired customer information, predicts an order in which the customer will desire to rent based on a result of the determination, and rearranges the extracted rental conditions in the predicted order and provides the rental conditions.
A rental price calculation system is provided.

According to the present invention, a rental price calculation system that calculates the rental price of a product acquires product information on products for rental in storage, creates a list in which the products and rental conditions of the products are classified by product type, extracts rental conditions for the products that a customer wishes to rent from the created list based on the product information, provides the extracted rental conditions to the customer together with inspection information and price information for the products, and if the customer agrees to the provided rental conditions, decides to rent the products to the customer, plans delivery of the products that have been decided to be rented to the customer, acquires at least the deteriorated state, degree and number of the products that have been returned from rental and inspected, and a history of repairs, cleaning and washing performed on the deteriorated products as the inspection information, calculates the rental price for the next rental of the products in accordance with the degree of deterioration of the product's condition based on the acquired inspection information, acquires customer information of the customer, judges the customer's preferences based on the acquired customer information, predicts the order in which the customer will wish to rent based on the judgment result, and provides the extracted rental conditions in the predicted order .

This invention is in the category of a system, but the same effects and advantages can be achieved with methods and programs.

According to the present invention, it is possible to assess and calculate an appropriate rental price for the next rental based on certain criteria, using inspection information of the product returned from rental.

FIG. 1 is a diagram illustrating an overview of a rental price calculation system 1. FIG. 1 is a diagram showing a functional configuration of a rental price calculation system 1. FIG. 2 is a flowchart showing a list creation process executed by the rental price calculation system 1. 2 is a schematic diagram illustrating an example of a list created by the computer 10. FIG. 2 is a flowchart of a first rental condition providing process executed by the rental price calculation system 1. FIG. 10 is a diagram illustrating an example of a state in which the computer 10 has changed the order of rental conditions. FIG. 13 is a flowchart of a second rental condition providing process executed by the rental price calculation system 1. FIG. 13 is a flowchart of a third rental condition providing process executed by the rental price calculation system 1. FIG. 2 is a flowchart showing a rental process executed by the rental price calculation system 1. 13 is a diagram showing an example of a screen displayed on the customer terminal 20 when the customer agrees to rental conditions. FIG. FIG. 2 is a flowchart showing a rental price calculation process executed by the rental price calculation system 1. FIG. 2 is a flowchart showing a second-hand sales price calculation process executed by the rental price calculation system 1. A figure showing a flowchart of the purchase reception process executed by the rental price calculation system 1. FIG. 13 is a flowchart showing a rental period extension process executed by the rental price calculation system 1. FIG. 2 is a flowchart showing a first learning process executed by the rental price calculation system 1. FIG. 13 is a flowchart of a second learning process executed by the rental price calculation system 1.

Below, a detailed description of the mode for carrying out the present invention (hereinafter, the embodiment) will be given with reference to the attached drawings. In the following drawings, the same elements are given the same numbers or symbols throughout the description of the embodiment.

[Basic concept/basic configuration]
FIG. 1 is a diagram for explaining an overview of a rental price calculation system 1. The rental price calculation system 1 includes at least a computer 10, and is a system for calculating the rental price of a product. In this embodiment, The price calculation system 1 includes a computer 10, a customer terminal 20 held by a customer who wishes to rent, a warehouse management system (WMS) 21 that manages a warehouse 3 where the products are stored, and a A shipper terminal 22 carried by the shipper who owns the goods is connected so as to be capable of data communication.

This embodiment is based on the premise that a customer (e.g., an individual or a corporation) rents goods 4 (e.g., mobile objects (cars), clothing, home appliances, daily necessities, furniture, decorations, jewelry, business supplies, sporting goods, office supplies, outdoor supplies, event supplies, travel supplies, medical supplies, construction supplies, cooking supplies, scientific equipment, supplies for infants, power machinery and equipment (drones, robots)) stored in a warehouse 3 managed by a computer 10.

The process steps performed by the rental price calculation system 1 to calculate a rental price will be described with reference to FIG.
First, the computer 10 creates a list of products stored in a storage location such as the warehouse 3 and the rental conditions of the products (step S1).
The WMS 21 transmits to the computer 10 product information (e.g., product name, ID, management number, serial number, product identification code, classification, use, purpose, and service) of rental products stored in the warehouse 3 that it manages.
The computer 10 receives this product information and thereby acquires the product information.
The computer 10 refers to rental conditions (e.g., rental period, return status, return destination, rental price, used sales price) previously set for the product. Alternatively, the shipper terminal 22 accepts input of rental conditions for the product owned by the shipper. The shipper terminal 22 transmits the rental conditions of the product that have been input to the computer 10.
The computer 10 acquires the rental conditions by referring to the rental conditions set for the product or by receiving the rental conditions for the product.
The computer 10 creates a list of products stored in the warehouse 3 and their rental conditions based on the product information of the products and the rental conditions of the products.

The computer 10 extracts the rental conditions of the product that the customer wishes to rent from the created list (step S2).
The customer terminal 20 receives input of product information of a product that the customer wishes to rent. The customer terminal 20 transmits the received product information to the computer 10.
The computer 10 receives this product information and thereby acquires the product information.
The computer 10 refers to the list created based on the acquired product information, and extracts the rental conditions of the product corresponding to this product information from the list created.

The computer 10 provides the extracted rental conditions to the customer (step S3).
The computer 10 transmits the extracted rental conditions to the customer terminal 20 of the customer who wishes to rent the product.
The customer terminal 20 receives the rental conditions and displays them on its own display unit or the like.
The computer 10 displays the extracted rental conditions on the customer terminal 20, thereby providing the extracted rental conditions to the customer.

If the customer agrees to the offered rental conditions, the computer 10 decides to rent the product to the customer (step S4).
The customer terminal 20 accepts input of consent to the rental of the product associated with the provided rental conditions. The customer terminal 20 transmits the rental conditions for which consent has been accepted to the computer 10.
By receiving this consent, the computer 10 obtains consent to the rental conditions from the customer.
The computer 10 decides to rent the product whose rental conditions are agreed to to the customer.

The computer 10 schedules the delivery of the product that the customer has decided to rent (step S5).
The computer 10 executes the processes required to deliver the product to the customer.
This process is, for example, a process of formulating a plan for delivering merchandise. Based on this plan, processes related to arranging vehicles and drivers for delivering the merchandise, instructing packaging, setting the delivery date and time and delivery location, and picking the merchandise from the warehouse 3 are carried out, and when completion information is received, the plan is updated as necessary. By carrying out this process, the computer 10 makes a plan for delivering merchandise to customers.

The computer 10 acquires inspection information on the product that has been delivered, rented to the customer for a predetermined period of time, and then returned (step S6).
After the customer returns the product after the rental period set forth in the rental conditions, the computer 10 acquires the result of inspecting the condition of the product (e.g., the presence or absence of scratches, stains, deterioration, and damage, as well as the size and number of such damages, etc.) as inspection information. In addition, if repairs, cleaning, washing, etc. are performed depending on the condition of the product, the history of such repairs is also acquired as inspection information.
The WMS 21 transmits the results of the inspection carried out on the products returned to the warehouse 3 to the computer 10 as inspection information.
The computer 10 receives this inspection information and thereby acquires the inspection information.

The computer 10 calculates the rental price for the next rental of the product based on the acquired inspection information (step S7).
The computer 10 calculates the rental price based on the condition of the product in the acquired inspection information. If the condition of the product is the same as before the rental, the computer 10 calculates the rental price for the next rental to be the rental price for the previous rental. If the condition of the product has deteriorated compared to before the rental, the computer 10 calculates the rental price for the next rental by multiplying the rental price for the previous rental by a predetermined coefficient according to the degree of deterioration.
The computer 10 updates the rental conditions of this product based on the calculated rental price, and executes the process of extracting the next rental conditions (step S2) using the updated rental conditions.

With this rental price calculation system 1, it is possible to assess and calculate an appropriate rental price for the next rental based on certain criteria, using the inspection information of the product returned from rental.

[Functional configuration]
The functional configuration of the rental price calculation system 1 will be described with reference to FIG.
The rental price calculation system 1 comprises at least a computer 10, which is connected to a customer terminal 20 such as a mobile phone, smartphone, tablet terminal, or personal computer owned by a customer who wishes to rent, a WMS 21 which is a system for managing the warehouse 3, and a shipper terminal 22 such as a mobile phone, smartphone, tablet terminal, or personal computer owned by a shipper who is the owner of the goods stored in the warehouse 3, via a network 9 such as a public line network, so as to be able to communicate data with the customer terminal 20.
The rental price calculation system 1 may include the above-mentioned customer terminal 20, WMS 21, shipper terminal 22, other terminals, devices, etc. In this case, the rental price calculation system 1 executes the process described below by using the computer 10, other terminals, devices, etc., or a combination of multiple devices.

The computer 10 is a personal computer or a computer having a server function for calculating rental prices.
The computer 10 may be realized, for example, by one computer, or by multiple computers, such as a cloud computer. In this specification, the cloud computer may refer to either a computer that uses any computer in a scalable manner to perform a specific function, or a computer that includes multiple functional modules to realize a system and uses the functions in any combination.

The computer 10 includes, as its control unit, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc., and, as its communication unit, includes a device for enabling communication with other terminals and devices, a provision unit 11 for providing rental conditions to customers, a delivery planning unit 12 for planning delivery of products to customers, an inspection information acquisition unit 13 for acquiring product inspection information, etc.
The computer 10 also includes a data storage unit such as a hard disk, semiconductor memory, storage medium, or memory card as a memory unit.
The computer 10 also includes, as processing units, various devices that execute various processes, a list creation unit 14 that creates a list of products and their rental conditions, an extraction unit 15 that extracts rental conditions for products desired by a customer, a decision unit 16 that decides to rent a product to a customer, and a calculation unit 17 that calculates the rental price for the next rental.

In computer 10, the control unit loads a specified program and works in cooperation with the communication unit to realize a product information acquisition module, a rental condition provision module, an identification information acquisition module, a consent acquisition module, a delivery plan module, an inspection information acquisition module, a rental price proposal module, a used sales price proposal module, a purchase acceptance module, a purchase request notification module, a purchase permission acquisition module, a purchase processing module, a period extension acceptance module, a period extension request notification module, a period extension permission acquisition module, and a period extension processing module.
In addition, in the computer 10, the control unit reads a predetermined program and cooperates with the memory unit to realize a list storage module and a learning result storage module.
In addition, in computer 10, the control unit reads a specified program and works in cooperation with the processing unit to realize a rental condition setting module, a list creation module, a rental condition extraction module, a customer information acquisition module, a rental condition order change module, a product information identification module, a similar product identification module, a storage determination module, a rental decision module, a rental price calculation module, a used sales price calculation module, a rental decision determination module, a rental price determination module, a learning module, a used sales reception determination module, and a used sales price determination module.

[List Creation Process Executed by Computer 10]
The list creation process executed by the computer 10 will be described with reference to Fig. 3. Fig. 3 is a flowchart showing the list creation process executed by the computer 10. The processes executed by the above-mentioned modules will be described together with this process. This list creation process is a detailed description of the above-mentioned list creation process (step S1).

The product information acquisition module acquires product information of products stored in a storage location such as the warehouse 3 (step S10).
As described above, the products include mobile objects (cars), clothing, home appliances, daily necessities, furniture, decorations, jewelry, business supplies, sporting goods, office supplies, outdoor supplies, event supplies, travel supplies, medical supplies, construction supplies, cooking supplies, physicochemical equipment, supplies for young children, power machinery and equipment (drones, robots), etc. As described above, the product information includes the product name, ID, control number, serial number, product identification code, classification, use, purpose, service, etc.
The WMS 21 transmits product information of rental products stored in the warehouse 3 managed by the WMS 21 to the computer 10 based on instructions from the computer 10 or the shipper terminal 22, input from the administrator of the WMS 21, etc.
The product information acquisition module receives this product information and thereby acquires the product information of the products stored in the warehouse 3 .

The rental condition setting module sets the rental conditions of the product (step S11).
As described above, the rental conditions include the rental period, return status, return destination, rental price, used sales price, etc. The return status is based on inspection information acquired in the rental price calculation process or used sales price calculation process described later.
Setting rental conditions means associating a product with the rental conditions.
The rental condition setting module refers to pre-stored rental conditions of the product and sets the rental conditions of the product.
Alternatively, the shipper terminal 22 accepts input of rental conditions for products owned by the shipper, and transmits the accepted rental conditions for the products to the computer 10.
The computer 10 acquires the rental conditions of the product by receiving the rental conditions of the product. The rental condition setting module sets the rental conditions of the product based on the acquired rental conditions.

The listing module creates a listing of products and their rental conditions (step S12).
The list creation module creates a list by grouping products for which rental conditions have been set by type (e.g., name, classification, use, purpose, service) (see FIG. 4). FIG. 4 is a schematic diagram showing an example of a list created by the list creation module. In the figure, the list creation module creates a list of products (products A to C) and rental conditions (rental period, return status, return destination, rental price, second-hand sales price) for each product type (home appliance A).
The list creation module may create the list not only by type, but also by other classifications such as the degree of association of products (e.g., same manufacturer, same shipper), etc. The list creation module may also create the list by larger classifications (e.g., by manufacturer, by shipper).

Returning to FIG. 3, the rest of the list creation process will be described.
The list storage module stores the created list (step S13).

This completes the list creation process.
The computer 10 uses the list created by this list creation process to perform first to third rental condition providing processes, which will be described later.

[First rental condition providing process executed by computer 10]
The first rental condition providing process executed by the computer 10 will be described with reference to Fig. 5. The figure shows a flowchart of the first rental condition providing process executed by the computer 10. The processes executed by the above-mentioned modules will be described together with this process. This first rental condition providing process is a process performed after the above-mentioned list creation process, and is details of the above-mentioned rental condition extraction process (step S2) and rental condition providing process (step S3).

The product information acquisition module acquires product information of the product that the customer wishes to rent and the customer's identifier (step S20).
As described above, a customer may be an individual, a corporation, etc., and the customer identifier may be, for example, a name, an ID, or a management number.
The customer terminal 20 accepts input of the product that the customer wishes to rent. For example, the customer terminal 20 accepts input of the selection of the product that the customer wishes to rent from a list of rental products, or input of the name of the product that the customer wishes to rent, etc. The customer terminal 20 transmits the product information of the accepted product and the customer identifier to the computer 10.
The product information acquisition module receives the product information and the customer identifier, and thereby acquires the product information and the customer identifier of the product that the customer wishes to rent.

The rental condition extraction module extracts rental conditions for the product that the customer wishes to rent from the list (step S21).
The rental condition extraction module refers to the list created by the above-mentioned list creation process based on the acquired product information, and extracts rental conditions for the product corresponding to this product information from the list. If only one piece of this product information exists in the list, the rental condition extraction module extracts rental conditions corresponding to this one piece of product information. If multiple pieces of this product information exist in the list, the rental condition extraction module extracts rental conditions corresponding to each of the multiple pieces of product information. If only one rental condition corresponds to one piece of product information, the rental condition extraction module extracts one rental condition, and if multiple rental conditions correspond to one piece of product information, the rental condition extraction module extracts multiple rental conditions.

The customer information acquisition module acquires customer information of the customer who has requested to rent the product (step S22).
The customer information is, for example, customer attributes and rental history. For individuals, customer attributes are, for example, gender, age, place of residence, occupation, tastes, values, income, and family structure, and for corporations, customer attributes are, for example, place of work, job title, and shipper's person in charge.
The customer information acquisition module refers to a customer information database (hereinafter also referred to as a customer information DB) in which customer identifiers and customer information are previously registered in correspondence with each other, identifies the customer information corresponding to the customer identifier acquired this time, and acquires the identified customer information.

The rental condition order change module changes the order of the rental conditions based on the customer information (step S23).
The rental condition order change module determines the customer's hobbies, preferences, lifestyle, etc. based on the acquired customer information, and based on the results of the determination, rearranges the extracted rental conditions into the order in which the customer is expected to desire rentals (see Figure 6).
Alternatively, the rental condition order change module compares the acquired customer information with the customer information of a customer who has rented the product in the past and the rental conditions at that time, and rearranges the extracted rental conditions in order of the number of matching items.
For example, the rental condition order change module changes the order of the extracted rental conditions according to the rental price, rental period, or product condition.
6 is a diagram showing an example of a state where the rental condition order change module has changed the order of the rental conditions, in which the rental condition order change module has changed the order of the extracted rental conditions based on the rental price.
The rental order change module can change the order of rental conditions based on other contents, not limited to rental price.

Returning to FIG. 5, the first rental condition providing process will be continued.
The rental condition providing module provides the rental conditions to the customer (step S24).
The rental condition providing module transmits the extracted rental conditions in a rearranged state to the customer terminal 20. At this time, the rental condition providing module also transmits product information corresponding to the rental conditions.
The customer terminal 20 receives the rental conditions and product information, and displays the rental conditions and product information on its own display unit or the like in the order changed by the rental condition order change module.
The rental condition providing module provides the extracted rental conditions to the customer by displaying the rental conditions on the customer terminal 20 .

This completes the first rental conditions provision process.

[Second rental condition providing process executed by computer 10]
The second rental condition providing process executed by the computer 10 will be described with reference to Fig. 7. The figure shows a flowchart of the second rental condition providing process executed by the computer 10. The processes executed by each of the above-mentioned modules will be described together with this process. This second rental condition providing process is a process performed after the above-mentioned list creation process, and is a detailed description of the above-mentioned rental condition extraction process (step S2) and rental condition providing process (step S3), which are separate from the above-mentioned first rental condition providing process.
It should be noted that detailed explanations of processes similar to those described above will be omitted.

The identification information acquisition module acquires identification information of products displayed in a location different from the warehouse 3 (hereinafter also referred to as another location) and customer identifiers (step S30).
Places different from the warehouse 3 include, for example, physical stores, online stores, exhibition halls, flyers, catalogues, etc.
The identification information is, for example, a radio frequency identifier (RFID), a one-dimensional code, a two-dimensional code, or the like, and stores product information of the product.
The customer terminal 20 reads the identification information attached to a product displayed in a different location or placed near the product, etc. The customer terminal 20 transmits the read identification information and the identifier of the customer who read the identification information to the computer 10.
The identification information acquisition module receives the identification information and the customer identifier, and thereby acquires the identification information and the customer identifier of the product displayed at the separate location.

The product information identifying module identifies the product information stored in the identification information (step S31).
The product information identification module analyzes the acquired identification information and identifies the product information stored in this identification information.

The similar product identification module identifies products stored in the warehouse 3 that are similar to this product based on the product information (step S32).
The similar product identification module, based on the identified product information, identifies products similar to the product whose identification information has been read by the customer (hereinafter, similar products are also referred to as similar products) from among the products stored in the warehouse 3. Examples of similar products include products with similar classifications, products with similar product names, products with similar uses, products with similar services, and products with similar shapes.
The similar product identification module compares the identified product information with the product information of the products stored in the warehouse 3 acquired by the product information acquisition module in the above-mentioned product information acquisition process (step S10), and identifies products similar to the product whose identification information the customer reads. The similar product identification module identifies products whose product information matches each other to a predetermined degree or more as similar products.

The rental condition extraction module extracts rental conditions of similar products from the list (step S33).
The rental condition extraction module refers to the list created by the above-mentioned list creation process based on the product information of the identified similar product, and extracts rental conditions corresponding to this product information from the list. If only one piece of this product information exists in the list, the rental condition extraction module extracts rental conditions corresponding to this one piece of product information. If multiple pieces of this product information exist in the list, the rental condition extraction module extracts rental conditions corresponding to each of the multiple pieces of product information. If only one rental condition corresponds to one piece of product information, the rental condition extraction module extracts one rental condition, and if multiple rental conditions correspond to one piece of product information, the rental condition extraction module extracts multiple rental conditions.

The customer information acquisition module acquires the customer information of the customer whose identification information has been read (step S34).
The customer information acquisition module refers to the customer information DB, identifies customer information corresponding to the currently acquired customer identifier, and acquires the identified customer information.

The rental condition order change module changes the order of the rental conditions based on the customer information (step S35).
The process of step S35 is similar to the process of step S23 described above.

The rental condition providing module provides the rental conditions to the customer (step S36).
The process of step S36 is similar to the process of step S24 described above.

This completes the second rental conditions provision process.

[Third rental condition providing process executed by computer 10]
The third rental condition providing process executed by the computer 10 will be described with reference to Fig. 8. The figure shows a flowchart of the third rental condition providing process executed by the computer 10. The processes executed by each of the above-mentioned modules will be described together with this process. This third rental condition providing process is a process performed after the above-mentioned list creation process, and is details of the above-mentioned rental condition extraction process (step S2) and rental condition providing process (step S3), which are separate from the above-mentioned first and second rental condition providing processes.
It should be noted that detailed explanations of processes similar to those described above will be omitted.

The product information acquisition module acquires product information of the product that the customer wishes to rent and the customer's identifier (step S40).
The process of step S40 is similar to the process of step S20 described above.

The storage determination module determines whether or not the product is being stored in the warehouse 3 (step S41).
The storage determination module refers to the list created by the above-mentioned list creation process, and determines whether or not the currently acquired product information is present in the list.
When the storage determination module determines that the product is being stored in the warehouse 3 (YES in step S41), it executes the rental condition extraction process (step S21) and subsequent processes in the first rental condition providing process described above.
For the purpose of simplifying the explanation, the third rental condition providing process will be described as ending.

On the other hand, if the storage determination module determines that the product is not stored in the warehouse 3 (step S41, NO), the similar product identification module identifies products stored in the warehouse 3 that are similar to the product that the customer wishes to rent, based on the product information (step S42).
The similar product specification module specifies products similar to the product the customer wishes to rent from among the products stored in the warehouse 3 based on the acquired product information.
The similar product identification module compares the acquired product information with the product information of the products stored in the warehouse 3 acquired by the product information acquisition module in the above-mentioned product information acquisition process (step S10), and identifies products similar to the product that the customer wishes to rent. The similar product identification module identifies products whose product information matches each other to a predetermined degree or more as similar products.

The rental condition extraction module extracts rental conditions of similar products from the list (step S43).
The process of step S44 is similar to the process of step S33 described above.

The customer information acquisition module acquires customer information of the customer who has requested to rent the product (step S44).
The process of step S44 is similar to the process of step S22 described above.

The rental condition order change module changes the order of the rental conditions based on the customer information (step S45).
The process of step S45 is similar to the process of step S23 described above.

The rental condition providing module provides the rental conditions to the customer (step S46).
The process of step S46 is similar to the process of step S24 described above.

This concludes the third rental conditions provision process.

[Rental Processing Executed by Computer 10]
The rental process executed by the computer 10 will be described with reference to Fig. 9. The figure shows a flowchart of the rental process executed by the computer 10. The processes executed by each of the above-mentioned modules will be described together with this process. This rental process is a process carried out after any of the above-mentioned first to third rental condition providing processes, and is details of the above-mentioned rental decision process (step S4) and product delivery planning process (step S5).

The consent acquisition module acquires consent to the rental conditions from the customer (step S50).
The customer terminal 20 accepts input of consent to the rental conditions desired by the customer from the provided rental conditions. The customer terminal 20 displays the provided rental conditions on the display unit as shown in Fig. 10 and accepts input of consent icon 30, thereby accepting input of consent to the rental conditions. The customer terminal 20 transmits the rental conditions and product information for which consent has been accepted to the computer 10.
The consent acquisition module receives the rental conditions and the product information, and thereby acquires consent to the rental conditions from the customer.
The computer 10 regards the customer as having agreed to the provided rental conditions by obtaining consent to the rental conditions from the customer, whereas if consent to the rental conditions cannot be obtained from the customer, the computer 10 regards the customer as not having agreed to the provided rental conditions.
In addition, if the consent acquisition module does not obtain consent to the rental conditions from the customer within a specified period (e.g., a few hours, a day, or a few days), the computer 10 determines that the customer has withdrawn their desire to rent, and does not execute this rental process.

The rental decision module decides to rent a product to a customer (step S51).
The rental decision module decides to rent a product corresponding to the acquired rental conditions and product information to the customer.

The delivery plan module plans the delivery of the product that has been decided to be rented (step S52).
The delivery plan module executes the processes required to deliver this product to the customer. As described above, this process is, for example, a process of formulating a plan for delivering the product. Based on this plan, processes related to arranging the vehicle and driver to deliver the product, instructing packaging, setting the delivery date and time and delivery location, picking the product from warehouse 3, etc. are performed, and when completion information is received, the plan is updated as necessary. The delivery plan module executes these processes to plan the delivery of the product.

That's all about the rental process.

[Rental Price Calculation Process Executed by Computer 10]
The rental price calculation process executed by the computer 10 will be described with reference to Fig. 11. The figure shows a flowchart of the rental price calculation process executed by the computer 10. The processes executed by each of the above-mentioned modules will be described together with this process. This rental price calculation process is carried out after the above-mentioned rental process, and is executed at least after the rented product is returned to the customer, and is the details of the above-mentioned inspection information acquisition process (step S6) and rental price calculation process (step S7).

The inspection information acquisition module acquires the inspection information of the returned product (step S60).
As described above, the inspection information is information regarding the inspection results regarding the condition of the product.
The WMS 21 transmits the results of the inspection carried out on the products returned to the warehouse 3 to the computer 10 as inspection information.
The inspection information acquisition module receives this inspection information and thereby acquires the inspection information of the returned product.

The rental price calculation module calculates the rental price of the product at the next rental based on the inspection information (step S61).
The rental price calculation module calculates the rental price based on the condition of the product in the acquired inspection information.
If the condition of the product is the same as before the rental, the rental price calculation module calculates the rental price at the previous rental as the rental price at the next rental. In this case, the rental price calculation module may calculate the rental price at the next rental by subtracting a predetermined amount from the rental price at the previous rental.
If the condition of the product has deteriorated since before the rental, the rental price calculation module calculates the rental price for the next rental by multiplying the rental price for the previous rental by a predetermined coefficient depending on the degree of deterioration.

The list storage module updates the list based on the calculated rental price (step S62).
The list storage module updates the rental price in the rental conditions corresponding to the currently acquired product information to the currently calculated rental price, and stores the updated rental price as the rental conditions for this product.

The rental price proposal module proposes the calculated rental price to the shipper (step S63).
The rental price proposal module transmits the calculated rental price to the shipper terminal 22. At this time, the rental price proposal module also transmits the product information corresponding to this rental price.
The shipper terminal 22 receives the rental price and product information, and displays the rental price and product information on its own display unit or the like.
The rental price proposal module proposes the calculated rental price to the shipper by displaying the rental price on the shipper terminal 22.

This completes the rental price calculation process.

[Used Sales Price Calculation Process Executed by Computer 10]
The secondhand selling price calculation process executed by the computer 10 will be described with reference to Fig. 12. The figure shows a flowchart of the secondhand selling price calculation process executed by the computer 10. The processes executed by the above-mentioned modules will be described together with this process. This secondhand selling price calculation process is a process that is executed after the above-mentioned rental process, and is at least a process that is executed after the rental product is returned to the customer.
It should be noted that detailed explanations of processes similar to those described above will be omitted.

The inspection information acquisition module acquires the inspection information of the returned product (step S70).
The process of step S70 is similar to the process of step S60 described above.

The secondhand selling price calculation module calculates the secondhand selling price of the product based on the inspection information (step S71).
The secondhand selling price calculation module calculates the secondhand selling price based on the condition of the product in the acquired inspection information.
If the condition of the product is the same as before the rental, the secondhand selling price calculation module calculates the secondhand selling price at the previous rental as the secondhand selling price at the next rental. In this case, the secondhand selling price calculation module may calculate the secondhand selling price at the next rental by dividing the secondhand selling price at the previous rental by a predetermined amount.
If the condition of the product is worse than before it was rented, the secondhand selling price calculation module calculates the secondhand selling price at the time of the next rental by multiplying the rental price at the time of the previous rental by a predetermined coefficient depending on the degree of deterioration.

The list storage module updates the list based on the calculated second-hand selling price (step S72).
The list storage module updates the used selling price in the rental conditions corresponding to the currently acquired product information to the currently calculated used selling price, and stores the updated used selling price as the rental conditions for this product.

The secondhand selling price proposal module proposes the calculated secondhand selling price to the shipper (step S73).
The secondhand selling price proposal module transmits the calculated secondhand selling price to the shipper terminal 22. At this time, the secondhand selling price proposal module also transmits product information corresponding to this secondhand selling price.
The shipper terminal 22 receives the second-hand sales price and product information, and displays the second-hand sales and product information on its own display unit or the like.
The secondhand selling price proposal module proposes the calculated secondhand selling price to the shipper by displaying the secondhand selling price on the shipper terminal 22.

This completes the second-hand sales price calculation process.

[Purchase Reception Processing Executed by Computer 10]
The buy-back reception process executed by the computer 10 will be described with reference to Fig. 13. The figure shows a flowchart of the buy-back reception process executed by the computer 10. The processes executed by each of the above-mentioned modules will be described together with this process. This buy-back reception process is performed after the above-mentioned rental process and before the above-mentioned rental price calculation process or used sales price calculation process. In other words, this buy-back reception process is performed while the customer is renting the product.

The buy-back reception module receives a request to buy back a rented item from a customer (step S80).
The customer terminal 20 accepts an input from a customer to purchase an item that the customer is currently renting. The customer terminal 20 transmits to the computer 10 a purchase request representing the input of the purchase, the item information of the item, and the customer's identifier.
The buy-back reception module receives the buy-back request, the product information of the product, and the customer identifier, and thereby accepts the buy-back of the rented product from the customer.
The price at which the customer purchases the rented product is the second-hand selling price set in the above-mentioned rental condition setting process (step S11) or the second-hand selling price calculated in the above-mentioned second-hand selling price calculation process.

The buy-back notice module notifies the shipper that the customer wishes to buy the product as a buy-back notice (step S81).
The buy-back request notification module transmits the acquired buy-back request, product information of the product, and the customer identifier as a buy-back request notification to the shipper terminal 22 .
The shipper terminal 22 receives the purchase request notice and displays it on its own display unit or the like.
The buy-back notice module notifies the shipper of the buy-back notice by displaying the buy-back notice on the shipper terminal 22.

The buy-back permission acquisition module acquires a buy-back permission that permits the buy-back of the product from the shipper (step S82).
The shipper terminal 22 receives input of purchase permission for the notified purchase request notice. The shipper terminal 22 receives input regarding purchase permission from the shipper, and transmits the received purchase permission to the computer 10 as purchase permission for this product.
The purchase permission acquisition module receives this purchase permission and acquires a purchase permission from the shipper that authorizes the purchase of the product.
When the computer 10 obtains purchase permission from the shipper, it assumes that the shipper has permitted the purchase of the goods. On the other hand, when the computer 10 cannot obtain purchase permission from the shipper, it assumes that the shipper has not permitted the purchase request of the customer.
In addition, if the purchase permission acquisition module does not obtain purchase permission from the shipper for a specified period (e.g., several hours, a day, or several days), the computer 10 notifies the customer that purchase permission has not been granted and terminates the purchase reception process.

The computer 10 may directly permit purchase when it receives a request from a customer to purchase a rented item, without executing the above-mentioned purchase request notification process (step S81) and purchase permission acquisition process (step S82). In this case, it accepts a request from a customer to purchase a rented item, and executes the process required for purchasing the item (step S83), which will be described later.

The purchase processing module executes the processing required for purchasing the product (step S83).
The processes required for the purchase include, for example, notifying the customer that the used sales price has been paid, planning the delivery of the product, and updating the list.

This completes the purchase acceptance process.

[Term Extension Acceptance Processing Executed by Computer 10]
The period extension acceptance process executed by the computer 10 will be described with reference to Fig. 14. Fig. 14 is a flowchart showing the period extension acceptance process executed by the computer 10. The processes executed by the above-mentioned modules will be described together with this process. This period extension acceptance process is a process carried out while the customer is renting the product, similar to the above-mentioned purchase acceptance process.

The period extension receiving module receives an extension of the rental period of the currently rented product from the customer (step S90).
The customer terminal 20 accepts input from the customer to extend the rental period of the product currently being rented by the customer. The customer terminal 20 transmits to the computer 10 a period extension request, which means input of an extension of the rental period, the product information of the product, and the customer identifier.
The period extension acceptance module accepts an extension of the rental period of the currently rented product from the customer by receiving the period extension request, the product information of the product, and the customer identifier.

The period extension request notification module notifies the shipper that the customer wishes to extend the rental period of the product as a period extension request notification (step S91).
The period extension request notification module transmits the acquired period extension request, product information of the product, and the customer identifier as a period extension request notification to the shipper terminal 22.
The shipper terminal 22 receives the period extension request notification and displays it on its own display unit or the like.
The period extension request notification module notifies the consignor of the period extension request notification by displaying the period extension request notification on the consignor terminal 22.

The period extension permission acquisition module acquires a period extension permission that permits an extension of the rental period of the product from the shipper (step S92).
The shipper terminal 22 accepts an input of permission for period extension in response to the notified period extension request notification. The shipper terminal 22 accepts an input regarding permission for period extension from the shipper, and transmits the accepted permission for period extension to the computer 10 as permission for period extension for this product.
The period extension permission acquisition module receives this period extension permission and acquires from the shipper a period extension permission that permits an extension of the product period.
When the computer 10 obtains permission for the extension of the rental period from the shipper, the computer 10 assumes that the shipper has permitted the extension of the rental period of the product. On the other hand, when the computer 10 cannot obtain permission for the extension of the rental period from the shipper, the computer 10 assumes that the shipper has not permitted the customer's request for the extension of the rental period.
In addition, if the period extension permission acquisition module does not obtain permission for a period extension from the shipper for a specified period (e.g., several hours, a day, or several days), the computer 10 notifies the customer that the extension of the rental period has not been permitted, and terminates the period extension acceptance process.

The computer 10 may directly permit the extension of the rental period when it receives a request from a customer to extend the rental period of a rented product, without executing the above-mentioned process of notifying the customer of the request for extension of the rental period (step S91) and the process of obtaining permission for extension of the rental period (step S92). In this case, it accepts a request from the customer to extend the rental period of the rented product, and executes the process required to extend the rental period of the product (step S93), which will be described later.

The period extension processing module executes the processing required to extend the rental period of the product (step S93).
The processes required for extending the rental period include, for example, updating the list and notifying the WMS 21 that the rental period has been extended.

This completes the process for accepting extension requests.

[First Learning Process Executed by Computer 10]
The first learning process executed by the computer 10 will be described with reference to Fig. 15. Fig. 15 is a diagram showing a flowchart of the first learning process executed by the computer 10. The processes executed by the above-mentioned modules will be described together with this process. This first learning process is a process performed based on the result of the rental process performed after the above-mentioned rental price calculation process is performed.

The rental decision module determines whether or not rental has been decided based on the calculated rental price (step S100).
The rental decision determination module determines whether or not it has been decided to rent the product to the customer through the above-mentioned rental process, based on the rental price calculated through the above-mentioned rental price calculation process.
When the rental decision determination module determines that the rental has not been decided based on the calculated rental price (NO in step S100), the rental price determination module determines that the rental price is not appropriate (step S101).
An inappropriate rental price means that the rental price is too high for the condition of the item.

The learning module learns by associating the rental price, the rental judgment result, the inspection information, and the fact that the rental price is not appropriate (step S102).
Learning methods include machine learning using supervised learning, unsupervised learning, reinforcement learning, etc., as well as deep learning using convolutional neural networks, recurrent neural networks, long and short-term memory, etc.
The learning module performs learning based on learning data that associates the calculated rental price, the fact that rental has not been decided, the product condition, and the fact that the rental price is not appropriate.

The learning result storage module stores the learning results (step S103).

Returning to step S100, a case will be described where the rental decision module decides to rent the content based on the calculated rental price.
When the rental decision determination module determines that the rental has been decided based on the calculated rental price (YES in step S100), the rental price determination module determines that the rental price is appropriate (step S104).
A fair rental price means that the rental price is appropriate for the condition of the item.

The learning module learns by associating the rental price, the rental judgment result, the inspection information, and the fact that the rental price is appropriate (step S105).
The learning method is the same as the learning process (step S102) described above.
The learning module performs learning based on learning data that associates the calculated rental price, the decision to rent, the condition of the product, and whether the rental price is appropriate.

The learning result storage module stores the learning results (step S106).

The computer 10 can also be configured to calculate the rental price in the above-mentioned rental price calculation process by taking into account the results of learning in this first learning process. In this case, the computer 10 can compare the acquired inspection information in the rental price calculation process with the inspection information in the learning results, and calculate the rental price associated with the matching or similar inspection information as the rental price.

This completes the first learning process.

[Second Learning Process Executed by Computer 10]
The second learning process executed by the computer 10 will be described with reference to Fig. 16. Fig. 16 is a flowchart showing the second learning process executed by the computer 10. The processes executed by the above-mentioned modules will be described together with this process. This second learning process is a process performed based on the result of the buy-back acceptance process performed after the above-mentioned second-hand selling price calculation process is performed.

The secondhand sales acceptance determination module determines whether or not the secondhand sales request has been accepted based on the calculated secondhand sales price (step S110).
The secondhand sale acceptance determination module determines whether or not a secondhand sale of a product has been accepted from a customer through the above-mentioned buy-back acceptance process, based on the secondhand selling price calculated through the above-mentioned secondhand selling price calculation process.
When the secondhand sales acceptance determination module determines that the secondhand sales are not accepted based on the calculated secondhand sales price (NO in step S110), the secondhand sales price determination module determines that the secondhand sales price is not appropriate (step S111).
An inappropriate second-hand selling price means that the second-hand selling price is too high for the condition of the item.

The learning module learns by associating the secondhand selling price, the result of the secondhand sales acceptance judgment, the inspection information, and the fact that the secondhand selling price is not appropriate (step S112).
The learning method is the same as the learning process (step S102) described above.
The learning module performs learning based on learning data that associates the calculated second-hand selling price, the fact that second-hand sales are not accepted, the product condition, and the fact that the second-hand selling price is not appropriate.

The learning result storage module stores the learning results (step S113).

Returning to step S110, a case will be described in which the secondhand sales acceptance judgment module judges that a secondhand sales request has been accepted based on the calculated secondhand sales price.
When the secondhand sales acceptance determination module determines that the secondhand sales has been accepted based on the calculated secondhand sales price (YES in step S110), the secondhand sales price determination module determines that the secondhand sales price is appropriate (step S114).
A fair secondhand sales price means that the secondhand sales price is appropriate for the condition of the product.

The learning module learns by associating the secondhand selling price, the result of the secondhand sales acceptance judgment, the inspection information, and whether the secondhand selling price is appropriate (step S115).
The learning method is the same as the learning process (step S102) described above.
The learning module performs learning based on learning data that associates the calculated second-hand selling price, the acceptance of a second-hand sale, the condition of the product, and whether the second-hand selling price is appropriate.

The learning result storage module stores the learning results (step S116).

The computer 10 can also be configured to calculate the used selling price in the second selling price calculation process described above, taking into account the results of learning through this second learning process. In this case, the computer 10 can compare the acquired inspection information with the inspection information in the learning results in the second selling price calculation process, and calculate the used selling price associated with the matching or similar inspection information as the used selling price.

This completes the second learning process.

The above-mentioned means and functions are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program. The program may be provided, for example, from the computer via a network (SaaS: Software as a Service) or as a cloud service. The program may also be provided in a form recorded on a computer-readable recording medium. In this case, the computer reads the program from the recording medium, transfers it to an internal or external recording device, records it, and executes it. The program may also be recorded in advance on a recording device (recording medium) and provided from the recording device to the computer via a communication line.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments. Furthermore, the effects described in the embodiments of the present invention are merely a list of the most favorable effects resulting from the present invention, and the effects of the present invention are not limited to those described in the embodiments of the present invention.

(1) A rental price calculation system that calculates the rental price of a product (e.g., a moving object (car), clothing, home appliances, daily necessities, furniture, decorations, jewelry, business supplies, sporting goods, office supplies, outdoor supplies, event supplies, travel supplies, medical supplies, construction supplies, cooking supplies, scientific equipment, supplies for infants, and power machinery and equipment (drones, robots)),
A list creation unit (e.g., list creation unit 14, list creation module) that creates a list of products in storage and rental conditions of the products (e.g., rental period, return status, return destination, rental price, used sales price);
An extraction unit (e.g., extraction unit 15, rental condition extraction module) that extracts rental conditions of the product that the customer desires to rent from the created list;
a provision unit (e.g., provision unit 11, rental condition provision module) that provides the extracted rental conditions to the customer;
a rental decision unit (e.g., decision unit 16, rental decision module) that decides to rent the product to the customer if the customer agrees to the offered rental conditions;
A delivery planning unit (e.g., a delivery planning module) that plans delivery of the product that the customer has decided to rent;
An inspection information acquisition unit (e.g., an inspection information acquisition module 13) that acquires inspection information (e.g., the condition of the product (e.g., the presence or absence of scratches, stains, deterioration, and damage, as well as the size and number of such damages)) obtained by inspecting the product returned from rental;
a rental price calculation unit (e.g., a calculation unit 17, a rental price calculation module) that calculates a rental price for the next rental of the product based on the acquired inspection information;
A rental price calculation system comprising:

According to the invention of (1), it is possible to assess and calculate an appropriate rental price for the next rental based on a certain standard from inspection information of an item returned from rental.
Therefore, the pricing criteria are consistent and do not depend on individuals or vary from person to person, making it easier to gain the understanding of shippers.

(2) an identification information acquisition unit (e.g., an identification information acquisition module) that acquires identification information (e.g., RFID, one-dimensional code, two-dimensional code) read from the product displayed in a location different from the storage location (e.g., a physical store, an online store, an exhibition hall, a flyer, a catalog booklet, etc.);
Further comprising:
The extraction unit extracts the rental conditions of a product stored in the storage location that is similar to the displayed product, based on information about the product stored in the acquired identification information (e.g., product name, ID, management number, serial number, product identification code, classification, use, purpose, and service).
A rental price calculation system as described in (1).

According to the invention (2), it is possible to provide a customer with rental conditions for products similar to the products that the customer actually viewed.

(3) a customer information acquisition unit (e.g., a customer information acquisition module) that acquires customer information of the customer (e.g., customer attributes (e.g., gender, age, place of residence, occupation, preferences, values, income, family structure) and rental history);
Further comprising:
the providing unit rearranges the order of the rental conditions based on the acquired customer information and provides the rental conditions.
A rental price calculation system as described in (1).

According to the invention (3), it is possible to provide rental conditions in an order that matches the customer's hobbies and preferences.

(4) a rental price proposal unit (e.g., a rental price proposal module) that proposes the calculated rental price to a shipper of the product;
The rental price calculation system according to (1) further comprises:

According to the invention (4), by proposing a rental price to the shipper, it becomes easier for the shipper to determine whether the rental price is appropriate or not.

(5) a second-hand selling price calculation unit (e.g., a second-hand selling price calculation module) that calculates a second-hand selling price of the product based on the acquired inspection information;
The rental price calculation system according to (1) further comprises:

According to the invention (5), it is possible to calculate a suitable second-hand selling price for a product from inspection information obtained by inspecting a product returned from rental.

(6) a second-hand selling price proposal unit (e.g., a second-hand selling price proposal module) that proposes the calculated second-hand selling price to a shipper of the product;
The rental price calculation system according to (5) further comprises:

According to the invention (6), by proposing a used sales price to the shipper, it becomes easier for the shipper to determine whether the used sales price is appropriate or not.

(7) a product identification unit (e.g., a similar product identification module) that identifies another product stored in the storage location that is similar to the product desired by the customer if the product desired by the customer is not stored in the storage location;
Further comprising:
The extraction unit extracts rental conditions of the identified other product,
The provision unit provides rental conditions of the identified other product and the extracted other product to a customer,
the determination unit determines to rent the other product to the customer if the customer agrees to the other product and rental conditions of the other product.
A rental price calculation system as described in (1).

According to the invention (7), even if the product desired by the customer is not stored in the storage location, it is possible to rent to the customer a product similar to the product desired by the customer.

(8) a buy-back reception unit (e.g., a buy-back reception module) that receives a buy-back of the product from the customer during the rental of the product;
The rental price calculation system according to (1) further comprises:

According to the invention (8), it becomes possible for customers to purchase products that they like.

(9) an extension reception unit (e.g., a period extension reception module) that receives an extension of the rental period of the product from the customer during the rental of the product;
The rental price calculation system according to (1) further comprises:

According to the invention (9), it becomes possible for a customer to extend the rental period of a product that he or she likes.

(10) a learning unit (e.g., a learning module) that learns by associating the calculated rental price with whether or not it has been decided to rent the product to the customer;
Further comprising:
The rental price calculation unit calculates the rental price taking into account the learning result.
A rental price calculation system as described in (1).

According to the invention (10), it becomes possible to calculate the rental price more accurately.

(11) A rental price calculation method executed by a computer for calculating a rental price of a product, comprising the steps of:
Creating a list of products in storage and rental conditions for said products (e.g., step S12);
A step of extracting rental conditions of the product that the customer desires to rent from the created list (e.g., step S21);
Providing the extracted rental conditions to the customer (e.g., step S24);
A step of deciding to rent the product to the customer if the customer agrees to the provided rental conditions (e.g., step S51);
scheduling delivery of the product that the customer has decided to rent (e.g., step S52);
A step of acquiring inspection information on the product returned from rental (e.g., step S60);
A step of calculating a rental price for the next rental of the product based on the acquired inspection information (e.g., step S61);
A rental price calculation method comprising:

(12) creating a list of products in storage and the rental conditions of the products in a computer that calculates the rental prices of the products (e.g., step S12);
A step of extracting rental conditions of the product that the customer desires to rent from the created list (e.g., step S21);
Providing the extracted rental conditions to the customer (e.g., step S24);
A step of deciding to rent the product to the customer if the customer agrees to the offered rental conditions (e.g., step S51);
scheduling delivery of the product that the customer has decided to rent (e.g., step S52);
A step of acquiring inspection information on the product returned from rental (e.g., step S60);
A step of calculating a rental price for the next rental of the product based on the acquired inspection information (e.g., step S61);
A computer readable program for executing the program.

REFERENCE SIGNS LIST 1 Rental price calculation system 3 Warehouse 9 Network 10 Computer 11 Providing unit 12 Delivery planning unit 13 Inspection information acquisition unit 14 List creation unit 15 Extracting unit 16 Determining unit 17 Calculating unit 20 Customer terminal 21 WMS
22 Shipper terminal 30 Consent icon

Claims (13)

A rental price calculation system for calculating a rental price of a product,
a product information acquisition unit that acquires product information regarding the rental products being stored;
a list creation unit that creates a list of the products and rental conditions of the products, classified by product type, for each product type;
an extraction unit that extracts rental conditions from the list created for product information of the product that the customer wishes to rent;
a provision unit that provides the extracted rental conditions to the customer together with inspection information and price information of the product;
a decision unit that decides to rent the product to the customer if the customer agrees to the provided rental conditions;
a delivery planning unit for planning delivery of the product that the customer has decided to rent;
an inspection information acquisition unit that acquires, as the inspection information, at least the deteriorated state, the degree and the number of the deteriorated products that have been returned from rental and inspected, and the history of repairs, cleaning and washing performed on the deteriorated products;
a rental price calculation unit that calculates a rental price for the next rental of the product based on the acquired inspection information in accordance with the degree of deterioration of the condition of the product;
A customer information acquisition unit that acquires customer information of the customer;
Equipped with
the providing unit determines a preference of the customer based on the acquired customer information, predicts an order in which the customer will desire to rent items based on a result of the determination, and rearranges the extracted rental conditions in the predicted order and provides the items.
Rental price calculation system. an identification information acquiring unit for acquiring identification information in which product information of the product is stored;
Further comprising:
the extraction unit extracts, based on the product information stored in the acquired identification information, the rental conditions of a stored product similar to the product when the identification information is acquired at a location other than a storage location of the product;
2. The rental price calculation system according to claim 1. The customer information acquisition unit acquires customer information including at least the rental history of the customer and the attributes of the customer, such as gender, age, place of residence, occupation, tastes, values, income, and family structure ;
the providing unit determines the hobbies, preferences, and lifestyle of the customer based on the acquired customer information, predicts the order in which the customer will desire to rent items based on the result of the determination, and rearranges the extracted rental conditions in the predicted order and provides the items.
2. The rental price calculation system according to claim 1. the provision unit compares the acquired customer information with customer information of customers who have rented the product in the past and the rental conditions at that time, and rearranges the extracted rental conditions in order of the number of matching items, and provides the rental conditions.
2. The rental price calculation system according to claim 1. a rental price proposal unit that proposes the calculated rental price to a shipper of the product;
The rental price calculation system according to claim 1 , further comprising: a second-hand selling price calculation unit that calculates a second-hand selling price of the product according to a degree of deterioration of the condition of the product based on the acquired inspection information;
The rental price calculation system according to claim 1 , further comprising: a second-hand selling price proposal unit that proposes the calculated second-hand selling price to a shipper of the product;
The rental price calculation system according to claim 6 , further comprising: a product identification unit that, if the product desired by the customer is not stored in a storage location, identifies another product similar to the product desired by the customer from the list and stored in the storage location based on the product information;
Further comprising:
The extraction unit extracts rental conditions of the identified other product,
The provision unit provides rental conditions of the identified other product and the extracted other product to a customer,
the determination unit determines to rent the other product to the customer if the customer agrees to the other product and rental conditions of the other product.
2. The rental price calculation system according to claim 1. a buy-back reception unit that receives a buy-back of the product from the customer during the rental of the product;
The rental price calculation system according to claim 1 , further comprising: an extension receiving unit that receives an extension of a rental period of the product from the customer during the rental of the product;
The rental price calculation system according to claim 1 , further comprising: a learning unit that acquires the customer's consent to the rental conditions for each item and learns whether the rental price indicated in the rental conditions is appropriate by associating the rental price with the inspection information;
Further comprising:
the rental price calculation unit calculates, as the rental price, a rental price associated with learned inspection information that coincides with or is similar to the inspection information acquired by the inspection information acquisition unit;
2. The rental price calculation system according to claim 1. A rental price calculation method executed by a computer for calculating a rental price of a product, comprising:
obtaining product information regarding the stored rental products;
creating a list of the products and rental conditions for the products categorized by product type;
extracting rental conditions from the list based on product information of the product that the customer wishes to rent;
providing the extracted rental conditions to the customer together with inspection information and price information of the product;
deciding to rent the product to the customer if the customer agrees to the offered rental terms;
scheduling delivery of the product(s) that the customer has decided to rent;
acquiring, as the inspection information, at least the deteriorated state, the degree and the number of the deteriorated products, and the history of repairs, cleaning and washing performed on the deteriorated products, for the products that have been returned from rental and inspected;
calculating a rental price for the next rental of the product based on the acquired inspection information in accordance with the degree of deterioration of the condition of the product;
acquiring customer information of the customer;
Equipped with
The providing step includes determining a preference of the customer based on the acquired customer information, predicting an order in which the customer will desire to rent items based on a result of the determination, and rearranging the extracted rental conditions in the predicted order and providing the items.
Rental price calculation method. obtaining product information about the products for rental stored in a computer that calculates rental prices for the products;
creating a list of the products and rental conditions for the products categorized by product type;
Extracting rental conditions from the list created based on product information of the product that the customer wishes to rent;
providing the extracted rental conditions to the customer together with inspection information and price information of the product;
deciding to rent the product to the customer if the customer agrees to the offered rental terms;
scheduling delivery of the products that the customer has decided to rent;
A step of acquiring, as the inspection information, at least the deteriorated state, the degree and the number of the deteriorated products, and the history of repairs, cleaning and washing performed on the deteriorated products, for the products that have been returned from rental and inspected;
calculating a rental price for the next rental of the product based on the acquired inspection information in accordance with the degree of deterioration of the condition of the product;
acquiring customer information of said customer;
A computer readable program for executing
The providing step includes determining a preference of the customer based on the acquired customer information, predicting an order in which the customer will desire to rent items based on a result of the determination, and rearranging the extracted rental conditions in the predicted order and providing the items.
A computer readable program .