Information processing method, information processing system, and computer program

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The information processing system allows remote prediction of play shop sales by using a browser to process and transmit parameters, addressing the limitations of conventional systems by enhancing accessibility and enabling centralized processing for multiple play shops.

JP2025037674APending Publication Date: 2025-03-18PIX CO LTD +1

Patent Information

Application Number: JP2023144753
Authority / Receiving Office: JP · JP
Patent Type: Applications
Current Assignee / Owner
Filing Date: 2023-09-06
Publication Date: 2025-03-18

AI Technical Summary

Technical Problem

Conventional information processing systems for play shops, such as pachinko parlors, can only access and process information from within the shop, making it difficult to perform centralized information processing for multiple play shops.

Method used

An information processing method and system that allows predicting sales of a play shop by using a browser to acquire and calculate parameters from a storage device, converting these parameters and predicted values into a string, and transmitting them back to the storage device for storage, enabling remote access and processing.

Benefits of technology

Enables information processing for predicting sales to be performed outside the play shop, improving accessibility and allowing for centralized processing of information across multiple play shops.

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Patent Text Reader

Abstract

To provide an information processing method, an information processing system, and a computer program that enable information processing of measuring sales of a game parlor to be performed in the outside of the game parlor.SOLUTION: At least a part of parameters of a plurality of items for predicting future sales of a game parlor in which a plurality of types of game machines are installed is acquired from a storage device for each type of game machine, a browser is used to acquire a part of parameters of the plurality of items for each type of game machine, the browser is used to calculate a prediction value of the plurality of items of predicting future sales for each type of game machine, the parameters and prediction value of the plurality of items are converted into a character string including content of the parameter and the prediction value of the plurality of items, the character string is transmitted to a storage device for each type of game machine, and the parameters and the prediction value of the plurality of items are restored from the character string and stored in the storage device.SELECTED DRAWING: Figure 1

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Description

[Technical field]

[0001] The present invention relates to an information processing method, an information processing system, and a computer program relating to an arcade equipped with a plurality of gaming machines. [Background technology]

[0002] In a gaming establishment such as a pachinko parlor, a plurality of gaming machines such as pachinko machines are installed, and the plurality of gaming machines includes a plurality of types of gaming machines. Visitors to the gaming establishment play games using the gaming machines. Information such as sales related to the operation of the gaming establishment is stored by a computer installed in the gaming establishment. Information processing such as sales forecasting is performed based on the information stored in the computer. Patent Document 1 discloses a technology for forecasting sales based on information stored in a computer. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 10-5413 Summary of the Invention [Problem to be solved by the invention]

[0004] In conventional technology where information is processed by a computer installed in the game arcade, information can only be accessed from inside the game arcade. Also, in a case where multiple game arcades are operated, it is difficult to process information related to the operation of multiple game arcades using conventional technology. If information processing can be performed outside the game arcade, the degree of freedom of access to information will increase, and it will also be possible to process information related to multiple game arcades.

[0005] The present invention has been made in consideration of the above circumstances, and its object is to provide an information processing method, an information processing system, and a computer program that enable information processing for predicting sales at an amusement arcade to be performed outside the amusement arcade. [Means for solving the problem]

[0006] An information processing method according to one embodiment of the present invention includes the steps of: acquiring at least a portion of parameters for multiple items for predicting future sales at an amusement facility in which multiple types of gaming machines that use gaming media are installed, from a storage device, for each type of gaming machine; acquiring a portion of the parameters for the multiple items for each type of gaming machine using a browser; calculating a predicted value of the multiple items that predicts future sales for each type of gaming machine based on the parameters for the multiple items, using the browser; converting at least a portion of the parameters for the multiple items and the predicted value of the multiple items into a character string including contents of at least a portion of the parameters for the multiple items and the predicted value of the multiple items, for each type of gaming machine, transmitting the character string to the storage device; restoring at least a portion of the parameters for the multiple items and the predicted value of the multiple items from the character string in the storage device; and storing at least a portion of the parameters for the multiple items and the predicted value of the multiple items in the storage device, for each type of gaming machine.

[0007] An information processing system according to one embodiment of the present invention is an information processing system including a storage device, an information processing device, and a terminal device, wherein the storage device stores at least a portion of parameters for predicting future sales at an amusement facility in which a plurality of types of gaming machines that use gaming media are installed, the information processing device acquires at least a portion of the parameters for the plurality of items from the storage device, and uses a browser operating on the terminal device to acquire some of the parameters for the plurality of items from the terminal device for each type of gaming machine, and uses the browser to calculate a predicted value of a plurality of items that predicts future sales for each type of gaming machine based on the parameters for the plurality of items, converts at least a portion of the parameters for the plurality of items and the predicted value of the plurality of items into a character string including the contents of at least a portion of the parameters for the plurality of items and the predicted value of the plurality of items for each type of gaming machine, and transmits the character string to the storage device, and the storage device restores at least a portion of the parameters for the plurality of items and the predicted value of the plurality of items from the character string, and stores at least a portion of the parameters for the plurality of items and the predicted value of the plurality of items for each type of gaming machine.

[0008] A computer program according to one embodiment of the present invention causes a computer to execute the following processes: obtain, from a storage device, at least a portion of parameters for multiple items used to predict future sales at an amusement arcade in which multiple types of gaming machines that use gaming media are installed, for each type of gaming machine; obtain, using a browser, some of the parameters for the multiple items, for each type of gaming machine; calculate, using the browser, predicted values of multiple items that predict future sales for each type of gaming machine based on the parameters for the multiple items; convert, for each type of gaming machine, at least a portion of the parameters for the multiple items and the predicted values for the multiple items into a string containing the contents of at least a portion of the parameters for the multiple items and the predicted values for the multiple items; and transmit the string to the storage device.

[0009] In one embodiment of the present invention, a browser is used to calculate predicted values of multiple items that predict future sales at an amusement arcade, and a character string is generated that includes parameters of the multiple items for predicting sales and the predicted values of the multiple items. The character string is sent to a storage device, and the storage device restores the parameters of the multiple items and the predicted values of the multiple items from the character string and stores them. Even when a browser that cannot output an array with a large number of items is used, it is possible to output parameters and predicted values consisting of a large number of items and store them in the storage device 3. Therefore, it is possible to calculate, output, and store predicted values of multiple items that predict future sales at an amusement arcade using a browser. Effect of the Invention

[0010] In the present invention, it is possible to use a browser to perform information processing outside of an arcade to predict sales. Therefore, the present invention has excellent effects such as making it possible to access information on sales at an arcade from outside the arcade and predict sales, and also to process information on multiple arcades. [Brief description of the drawings]

[0011] [Figure 1] 1 is a schematic diagram showing an example of the configuration of an information processing system for managing information relating to sales at an amusement arcade; [Diagram 2] 2 is a block diagram showing an example of the internal configuration of a storage device; [Diagram 3] FIG. 13 is a conceptual diagram showing an example of the contents of performance data. [Figure 4] 1 is a block diagram showing an example of the internal configuration of an information processing device; [Diagram 5] 2 is a block diagram showing an example of the internal configuration of a terminal device; [Figure 6] 11 is a flowchart showing an example of a processing procedure executed by an information processing system to predict future sales and profits at an amusement arcade. [Figure 7] FIG. 2 is a schematic diagram showing an example of a displayed input image. [Figure 8]FIG. 13 is a schematic diagram showing an example of conversion of predicted data. [Figure 9] 13 is a schematic diagram showing an example of an input image for acquiring parameters for each group of multiple gaming machines. FIG. [Figure 10] 13 is a schematic diagram showing an example of an input image for acquiring parameters for each gaming machine. FIG. [Figure 11] 13 is a schematic diagram showing an example of an input image for acquiring parameters according to the unit price of game media used in the gaming machine. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] The present invention will now be described in detail with reference to the drawings showing embodiments thereof. FIG. 1 is a schematic diagram showing an example of the configuration of an information processing system 100 for managing information related to sales at a gaming establishment. The information processing system 100 executes an information processing method. A gaming establishment 50 is installed with a gaming machine 5 such as a pachinko machine or a slot machine. There are a plurality of gaming establishments 50, and each of the gaming establishments 50 is installed with a plurality of gaming machines 5. The plurality of gaming machines 5 installed in each gaming establishment 50 includes a plurality of types of gaming machines 5. The gaming machine 5 is a device into which gaming media such as pachinko balls or medals are inserted and which pays out the gaming media. The inserted gaming media are gaming media rented for a predetermined fee or gaming media paid out. The gaming media can be exchanged for prizes.

[0013] During play, the gaming machine 5 performs processes such as outputting video and audio, drawing a lottery in response to insertion of gaming media, and paying out gaming media in response to the lottery result. Different types of gaming machines 5 have different processes, such as the content of the video and audio, the process leading up to the lottery, the probability of winning the lottery, and the fluctuation of the probability. Different types of gaming machines 5 may use different types of gaming media and may also include those that perform different processes. In addition, the gaming machine 5 may be a device in which physical gaming media are inserted from the outside and the gaming media are paid out to the outside, or a device in which the number of gaming media to be inserted is input, the insertion and payout of gaming media are performed inside the device, and the number of paid out gaming media is output.

[0014] A management device 4 is installed in each gaming establishment 50. The management device 4 is composed of a computer such as a PC (personal computer) or a server device. The management device 4 is connected to a plurality of gaming machines 5 installed in the gaming establishment 50. The management device 4 acquires and stores information on games played on each gaming machine 5 and sales results from each gaming machine 5. The management device 4 also stores game settings for each gaming machine 5. In this way, the management device 4 manages a plurality of gaming machines 5 by storing game and sales results and game settings for the plurality of gaming machines 5.

[0015] A plurality of management devices 4 installed in a plurality of gaming establishments 50 are connected to a communication network 62 such as the Internet. Each management device 4 is connected to a storage device 3 via the communication network 62. The management device 4 may be connected to the storage device 3 via a dedicated line. The storage device 3 is composed of a computer such as a server device. Each management device 4 transmits stored data to the storage device 3. The storage device 3 acquires and stores information on game and sales results on the gaming machines 5 and game settings on the gaming machines 5 from each management device 4. In this way, the storage device 3 stores data on the gaming machines 5 in a plurality of gaming establishments 50. The storage device 3 may be composed of a plurality of computers.

[0016] The storage device 3 is connected to a communication network 61 such as the Internet. The storage device 3 is connected to an information processing device 1 via the communication network 61. The information processing device 1 is composed of a computer such as a server device. The communication network 61 and the communication network 62 may be the same communication network. The information processing device 1 is capable of communicating with a terminal device 2 used by a user such as an operator of an amusement facility 50 via the communication network 61.

[0017] The information processing device 1 executes information processing related to the operation of the amusement store 50 as a web application. The information processing device 1 functions as a web server and an application server for realizing the web application. The information processing device 1 may be composed of multiple computers. For example, the information processing device 1 may be composed of individual web server devices and application server devices. The storage device 3 functions as a data server for realizing the web application. The information processing device 1 acquires data necessary for the information processing from the storage device 3. The terminal device 2 uses a browser to accept operations from a user, inputs necessary information to the information processing device 1, and outputs the progress or results of the information processing. More specifically, the information processing device 1 performs information processing to predict future sales and profits at the amusement store 50.

[0018] FIG. 2 is a block diagram showing an example of the internal configuration of the storage device 3. The storage device 3 is configured using a computer such as a server device. The storage device 3 includes a calculation unit 31, a memory 32 that stores temporary data generated by calculation, a storage unit 33, and a communication unit 34. The calculation unit 31 is configured using, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or a multi-core CPU. The calculation unit 31 may be configured using a quantum computer. The memory 32 is, for example, a RAM (Random Access Memory). The storage unit 33 is non-volatile, for example, a hard disk or a non-volatile semiconductor memory. The communication unit 34 communicates with the outside of the storage device 3 by wired communication or wireless communication. For example, the communication unit 34 communicates with a plurality of management devices 4 via a communication network 62, and communicates with the information processing device 1 via a communication network 61.

[0019] The storage unit 33 stores a computer program 331. For example, the computer program 331 is downloaded through the communication unit 34 and stored in the storage unit 33. The calculation unit 31 executes processing required for the storage device 3 in accordance with the computer program 331. For example, the calculation unit 31 loads the computer program 331 into the memory 32 as necessary, and executes processing in accordance with the loaded computer program 331.

[0020] The memory unit 33 stores performance data 332 that records the results of play and sales on the gaming machines 5. The management device 4 transmits the stored results of play and sales on the gaming machines 5 to the memory device 3, and the memory device 3 receives the results of play and sales on the gaming machines 5 via the communication unit 34. The calculation unit 31 records the received results of play and sales on the gaming machines 5 in the performance data to be stored in the memory unit 33. The memory unit 33 stores the performance data for each gaming facility 50.

[0021] FIG. 3 is a conceptual diagram showing an example of the contents of the performance data 332. In the performance data 332, information showing the performance of play and sales on the gaming machine 5 is recorded for each type of gaming machine 5. FIG. 3 shows an example in which the gaming machine 5 is a pachinko machine. In the example shown in FIG. 3, various information showing the performance of play and sales on the gaming machine 5 is recorded in association with the model name showing the type of gaming machine 5. The fee is the rental fee per gaming medium. The rate is the exchange rate when exchanging the gaming medium for a prize, and is represented by the number of gaming media required for a 100 yen prize. The number is the number of gaming machines 5, the type of which is shown by the model name, installed in the gaming establishment 50.

[0022] Out is the number of game media inserted. Start is the number of times a game medium reaches a predetermined position on the game machine 5 and a lottery is held, expressed as the number per 100 game media inserted. Nail width is the width between multiple nails provided on the game machine 5. Customer retention rate is the ratio of the number of game media inserted to the number of game media loaned out, expressed as a percentage. Ball cost is the sales per game medium inserted. Sales are obtained by loaning out game media. Since the game media inserted into the game machine 5 include loaned game media and paid-out game media, the customer retention rate is greater than 100% and the ball cost is less than the fee.

[0023] The ball gross profit is the gross profit per inserted gaming medium. Machine sales is the sales per gaming machine 5. Machine gross profit is the gross profit per gaming machine 5. Sales is the total sales from multiple gaming machines 5 whose types are indicated by their model names. Gross profit is the total gross profit from multiple gaming machines 5 whose types are indicated by their model names. Profit margin is the ratio of gross profit to sales.

[0024] The performance data 332 includes multiple items of data for calculating sales and profits at the amusement store 50, and multiple items of data representing the sales and profits at the amusement store 50. For example, the fee, rate, number of machines, out, start, nail width, and customer retention rate included in the performance data 332 are at least a part of the multiple items of data for calculating sales and profits at the amusement store 50. The ball price, ball gross profit, machine sales, machine gross profit, sales, gross profit, and profit rate are at least a part of the multiple items of data representing the sales and profits at the amusement store 50. The data representing sales and profits can be calculated from the multiple items of data for calculating sales and profits. The storage unit 33 stores multiple performance data 332 related to multiple amusement stores 50. FIG. 3 is an example of the contents of the performance data 332, and the performance data 332 may include other information.

[0025] The storage unit 33 stores setting data 333 that records game settings for the gaming machine 5. The management device 4 transmits the stored game settings for the gaming machine 5 to the storage device 3, and the storage device 3 receives the game settings for the gaming machine 5 via the communication unit 34. The calculation unit 31 records the received game settings for the gaming machine 5 in the setting data 333 stored in the storage unit 33. The storage unit 33 stores the setting data 333 for each gaming arcade 50. The settings recorded in the setting data 333 are settings related to the processing performed by the gaming machine 5. For example, the setting data 333 records settings related to the probability of winning by lottery and fluctuations in the probability for each type of gaming machine 5. The storage unit 33 stores multiple setting data 333 for multiple gaming arcades 50.

[0026] The storage unit 33 may further store data necessary for processing to predict future sales and profits at the game arcade 50. For example, the storage device 3 may obtain data related to a weather forecast via the communication network 62 and store the data in the storage unit 33.

[0027] FIG. 4 is a block diagram showing an example of the internal configuration of the information processing device 1. The information processing device 1 is configured using a computer such as a server device. The information processing device 1 includes a calculation unit 11, a memory 12 that stores temporary data generated by calculation, a storage unit 13, a reading unit 14, and a communication unit 15. The calculation unit 11 is configured using, for example, a CPU, a GPU, or a multi-core CPU. The calculation unit 21 may be configured using a quantum computer. The memory 12 is, for example, a RAM. The storage unit 13 is non-volatile, for example, a hard disk or a non-volatile semiconductor memory. The reading unit 14 reads information from a recording medium 10 such as an optical disk or a portable memory. The communication unit 15 communicates with the outside of the information processing device 1 by wired communication or wireless communication. For example, the communication unit 15 communicates with the storage device 3 and the terminal device 2 via a communication network 61.

[0028] The calculation unit 11 causes the reading unit 14 to read the computer program 131 recorded on the recording medium 10, and stores the read computer program 131 in the storage unit 13. The calculation unit 11 executes processing required for the information processing device 1 in accordance with the computer program 131. Alternatively, the computer program 131 may be stored in the storage unit 13 in advance, or may be downloaded from outside the information processing device 1. In this case, the information processing device 1 does not need to include the reading unit 14.

[0029] The computer program 131 can be deployed to be executed on a single computer, or on multiple computers located at one site or distributed across multiple sites and interconnected by a communication network. That is, the computer program 131 may be executed on multiple computers connected via a communication network, and the information processing device 1 may be composed of multiple computers connected to each other via a communication network. The information processing device 1 may be configured using a cloud server.

[0030] 5 is a block diagram showing an example of the internal configuration of the terminal device 2. The terminal device 2 is configured using a computer such as a smartphone, a tablet computer, or a personal computer. The terminal device 2 includes a calculation unit 21, a memory 22, a storage unit 23, an operation unit 24, a display unit 25, and a communication unit 26. The calculation unit 21 is configured using, for example, a CPU, a GPU, or a multi-core CPU. The calculation unit 21 may be configured using a quantum computer. The memory 22 is, for example, a RAM. The storage unit 23 is non-volatile, for example, a hard disk or a non-volatile semiconductor memory.

[0031] The operation unit 24 receives input of information such as text by receiving operations from a user. The operation unit 24 is, for example, a touch panel, a keyboard, or a pointing device. The display unit 25 displays images. The display unit 25 is, for example, a liquid crystal display or an EL display (Electroluminescent Display). The operation unit 24 and the display unit 25 may be integrated. The communication unit 26 communicates with the outside of the terminal device 2 by wired communication or wireless communication. For example, the communication unit 26 communicates with the information processing device 1 via a communication network 61.

[0032] The storage unit 23 stores the computer program 231. The computer program 231 is downloaded using the communication unit 26 and stored in the storage unit 23. For example, the computer program 231 is downloaded from the information processing device 1. The computer program 231 may be stored in the storage unit 23 in advance. A part of the computer program 231 may be stored in the memory 22. For example, a part of the computer program 231 may be downloaded as necessary, stored in the memory 22, and deleted from the memory 22 after processing. The calculation unit 21 executes necessary processing according to the computer program 231.

[0033] The computer program 231 includes a browser program. The browser runs on the terminal device 2. The calculation unit 21 performs processing for executing the browser in accordance with the browser program. The terminal device 2 exchanges information with the information processing device 1 using the browser, and the information processing device 1 and the terminal device 2 execute web applications.

[0034] 6 is a flowchart showing an example of the procedure of processing executed by the information processing system 100 to predict future sales and profits at the amusement arcade 50. Hereinafter, step is abbreviated as S. The calculation unit 11 executes information processing according to the computer program 131, so that the information processing device 1 executes the following processing. The calculation unit 21 executes information processing according to the computer program 231, so that the terminal device 2 executes the following processing. Also, the calculation unit 31 executes information processing according to the computer program 331, so that the storage device 3 executes the following processing.

[0035] The terminal device 2 executes the browser as the calculation unit 21 performs processing according to the browser program. The terminal device 2 receives an instruction to start processing for predicting sales and profits by the user operating the operation unit 24, and transmits the instruction to start processing to the information processing device 1. For example, the terminal device 2 receives information specifying an amusement arcade 50 for which future sales and profits should be predicted, and transmits the information to the information processing device 1. The information processing device 1 acquires parameters for predicting future sales and profits at the amusement arcade 50 from the storage device 3 (S1).

[0036] In S1, the calculation unit 11 causes the communication unit 15 to transmit a request for data required for predicting sales and profits to the storage device 3. At this time, the information processing device 1 may transmit information specifying the amusement arcade 50 for which sales and profits are to be predicted to the storage device 3. The storage device 3 receives the data request at the communication unit 34. In response to the data request, the calculation unit 31 reads out the performance data 332 and the setting data 333 related to the amusement arcade 50 for which sales and profits are to be predicted from the storage device 33, and causes the communication unit 34 to transmit them to the information processing device 1. The information processing device 1 receives the performance data 332 and the setting data 333 transmitted from the storage device 3. The calculation unit 11 stores the received performance data 332 and the setting data 333 in the storage device 13.

[0037] The performance data 332 and the setting data 333 include multiple parameters for predicting future sales and profits at the amusement arcade 50. For example, multiple items of data for calculating sales and profits at the amusement arcade 50, such as outs and starts, included in the performance data 332, are part of the multiple parameters. That is, the information processing device 1 acquires at least a part of the multiple parameters for predicting sales and profits by receiving the performance data 332 and the setting data 333 transmitted from the storage device 3. The information processing device 1 may acquire data necessary for the process of predicting sales and profits from the storage device 3, other than the performance data 332 and the setting data 333.

[0038] The information processing device 1 then outputs an input image for acquiring parameters from the user for predicting future sales and profits at the amusement arcade 50 (S2). In S2, the calculation unit 11 generates an input image using the data acquired in S1, and causes the communication unit 15 to transmit data for displaying the input image in a browser to the terminal device 2. The terminal device 2 receives the data transmitted from the information processing device 1. The calculation unit 21 displays an image based on the received data on the display unit 25 in accordance with the browser program. In this way, the terminal device 2 displays the input image using the browser.

[0039] Fig. 7 is a schematic diagram showing an example of a displayed input image. Similar to the contents of the performance data 332, multiple parameters for predicting future sales and profits and multiple data items showing sales and profits are displayed for each type of gaming machine 5. In the example shown in Fig. 7, charges, rates, number of machines, out, start, nail width, customer occupancy rate, and wave are displayed as examples of multiple parameters. Wave is a parameter related to the fluctuation of the probability of winning by lottery. In the example shown in Fig. 7, out, start, nail width, customer occupancy rate, and wave can be changed by the user among the multiple parameters.

[0040] Some of the multiple parameters may not be included in the input image. In the example shown in Fig. 7, the probability of winning by lottery is not included in the input image and is not displayed. Parameters that are not displayed cannot be changed by the user.

[0041] In the example shown in FIG. 7, the ball price, ball gross profit, machine sales, machine gross profit, sales, gross profit, and profit rate are displayed as examples of multiple items of data representing sales and profits. The data representing sales and profits can be calculated from multiple items of parameters for predicting sales and profits. For example, the value of OUT includes the number of game media lent according to the fee and the number of game media inserted into the gaming machine 5 among the game media paid out according to the lottery result, so the sales and profits are values according to the value of OUT. For example, if the probability of winning the lottery is high, the profits will decrease. In this way, if parameters such as the value of OUT and information about the lottery are changed, the data representing sales and profits may change.

[0042] The information processing device 1 then uses the browser to acquire at least a part of multiple parameters for predicting future sales and profits at the game arcade 50 (S3). In S3, the user inputs the parameters by operating the operation unit 24, and the terminal device 2 uses the browser to accept the input parameters. For example, the values of out, start, nail width, customer retention rate, or wave are accepted. The calculation unit 21 causes the communication unit 26 to transmit the accepted parameters to the information processing device 1. The information processing device 1 acquires the parameters by receiving the parameters with the communication unit 15. The calculation unit 11 stores the received parameters in the storage unit 13, and changes the parameters included in the input image to reflect the received parameters. The information processing device 1 transmits data for displaying the input image with the changed parameters on the browser to the terminal device 2, and the terminal device 2 uses the browser to display the input image with the changed parameters.

[0043] In S3, the user predicts or determines the value of each parameter for the next day or the like in the future, and inputs it to the terminal device 2. At least a part of the parameters for multiple items are set to the values predicted or determined by the user. The user inputs the value of each parameter for each type of gaming machine 5 to the terminal device 2, and the information processing device 1 acquires and changes each parameter for each type of gaming machine 5.

[0044] In S3, the information processing device 1 may perform a process of adding a type of gaming machine 5. The user inputs an instruction to add a type of gaming machine 5 by operating the operation unit 24, and the terminal device 2 uses the browser to accept the input instruction to add a parameter. The calculation unit 21 causes the communication unit 26 to transmit the instruction to add a type of gaming machine 5 to the information processing device 1. The information processing device 1 acquires the addition of a type of gaming machine 5 by receiving the instruction to add a type of gaming machine 5 by the communication unit 15. For example, a new model name is acquired. The calculation unit 11 corrects the input image so that parameters can be input for the type of added gaming machine 5. For example, in the input image, a line for inputting parameters related to the type of added gaming machine 5 is increased. The information processing device 1 acquires parameters related to the type of added gaming machine 5, as well as other types of gaming machines 5, using the browser. It is possible to add a type of gaming machine 5 to match the current state of the gaming store 50, and information processing according to the current state of the gaming store 50 becomes possible.

[0045] In S3, the information processing device 1 may perform a process of adding a parameter. The user inputs an instruction to add a parameter by operating the operation unit 24, and the terminal device 2 uses a browser to accept the input instruction to add the parameter. The calculation unit 21 causes the communication unit 26 to transmit the instruction to add the parameter to the information processing device 1. The information processing device 1 acquires the addition of the parameter by receiving the instruction to add the parameter via the communication unit 15. For example, the name of the parameter is acquired. The calculation unit 11 modifies the input image so that the added parameter can be input. The information processing device 1 acquires the added parameter, similarly to other parameters, using the browser. The addition of the parameter enables more detailed information processing.

[0046] The information processing device 1 then uses the browser to calculate the predicted values of multiple items of data representing future sales and profits at the gaming establishment 50 (S4). In S4, the calculation unit 11 calculates the predicted values of the data representing future sales and profits based on the parameters acquired from the storage device 3 and the parameters of multiple items acquired from the user. The predicted values are values that predict future sales and profits. As described above, data representing sales and profits such as the ball price and ball gross profit can be calculated from parameters for predicting sales and profits such as out and start. Therefore, the predicted values of the data representing sales and profits are calculated from the parameters. The calculation is performed by a conventionally known method. For example, the computer program 131 includes a program for calculating the predicted values of multiple items of data representing sales and profits from the parameters of the multiple items.

[0047] The calculation unit 11 calculates the predicted values of multiple items of data representing future sales and profits based on the parameters acquired from the storage device 3 and the parameters acquired from the user using the browser, and stores the predicted values in the storage unit 13. The calculation unit 11 also changes the data representing sales and profits included in the input screen to the calculated predicted values. The information processing device 1 transmits data for displaying an input image including the predicted values of the data representing sales and profits on the browser to the terminal device 2, and the terminal device 2 uses the browser to display the input image including the predicted values of the data representing sales and profits. That is, the data representing sales and profits is changed according to the parameters input by the user, and is displayed on the browser. In this way, the information processing device 1 and the terminal device 2 use the browser to perform a simulation of future sales and profits.

[0048] Since multiple parameters for predicting sales and profits are acquired for each type of gaming machine 5, the information processing device 1 calculates predicted values of multiple items of data representing future sales and profits for each type of gaming machine 5. The data representing sales and profits contained in the input image is changed for each type. When the process of adding parameters is performed in S3, the information processing device 1 calculates predicted values of multiple items of data representing future sales and profits based on the multiple parameters including the added parameters.

[0049] The input image includes data showing the sales and profits of the entire game store 50. In the example shown in FIG. 7, the input image includes outs, ball price, ball gross profit, sales, gross profit, and profit rate as data showing the sales and profits of the entire game store 50. The data showing the sales and profits of the entire game store 50 is obtained by aggregating data showing the sales and profits of all types of gaming machines 5 installed in the game store 50. The information processing device 1 calculates data showing the daily sales and profits of the entire game store 50 based on the data recorded in the performance data 332, and outputs the data using the browser. The information processing device 1 also calculates a predicted value of the data showing the daily sales and profits of the entire game store 50, obtained by a simulation based on the acquired parameters, and outputs the data using the browser.

[0050] S3 and S4 may be executed repeatedly as appropriate. The user changes some of the parameters of the multiple items, and each time the parameters are changed, the information processing device 1 calculates the predicted value of the data representing sales and profits. The user appropriately determines some of the parameters of the multiple items, so that the data representing sales and profits is appropriately predicted. S3 and S4 generate prediction data consisting of the parameters of the multiple items for predicting sales and profits at the game arcade 50 and the predicted values of the data of the multiple items representing sales and profits. The prediction data includes the parameters and predicted values for each type of game machine 5, and the predicted values of the data representing sales and profits for the game arcade 50 as a whole.

[0051] The information processing device 1 then converts the prediction data into data in a format that can be transmitted to the storage device 3 (S5). The data handled by the information processing device 1 in S3 and S4 is represented as a two-dimensional array. For example, assume that there are a total of 20 items of parameters for predicting sales and profits and multiple items of data representing sales and profits, and that there are 100 types of gaming machines 5. In this case, the prediction data consisting of the predicted values of the parameters related to the multiple types of gaming machines 5 and the data representing sales and profits is represented as a 100 x 20 array, and the number of items included in the array is 2000. It is difficult to output an array with too many items. For example, if an attempt is made to output an array with too many items using a browser, an error will occur.

[0052] In S5, the calculation unit 11 generates a character string including the contents of a plurality of parameters for predicting sales and profits and the predicted values of a plurality of data items representing sales and profits for each type of gaming machine 5. By generating such a character string, the calculation unit 11 converts the parameters for predicting sales and profits and the predicted values of the data representing sales and profits into a character string for each type of gaming machine 5.

[0053] FIG. 8 is a schematic diagram showing an example of conversion of predicted data. For one type of gaming machine 5, one character string is generated by concatenating multiple parameter values and multiple predicted values. The multiple parameter values and multiple predicted values are concatenated with a semicolon added between them. Alternatively, a delimiter other than a semicolon, such as a comma, may be used. One character string is generated for one type of gaming machine 5, and multiple character strings are generated for multiple types of gaming machines 5. The calculation unit 11 generates multiple character strings, and the information processing device 1 converts the predicted data into conversion data consisting of multiple character strings.

[0054] By converting the parameter values of multiple items and the predicted values of multiple items into strings, an array containing many items is converted into converted data consisting of multiple strings. Multiple strings are easier to output than an array with too many items. Even in browsers that cannot output an array with many items, it is possible to output converted data consisting of multiple strings.

[0055] The information processing device 1 transmits the converted data to the storage device 3 (S6). In S6, the calculation unit 11 causes the communication unit 15 to transmit the converted data to the storage device 3. The storage device 3 receives the converted data at the communication unit 34. The storage device 3 restores the predicted data from the received converted data (S7). In S7, the calculation unit 31 extracts one character string from the converted data, and divides the character string into multiple values using a delimiter character, such as a semicolon, contained in the string as a boundary. The calculation unit 31 restores the predicted data from the converted data by dividing each of the multiple character strings contained in the converted data.

[0056] The storage device 3 stores the restored prediction data (S8). In S8, the calculation unit 31 stores the prediction data 334 in the storage unit 33. That is, the storage device 3 stores multiple parameters for predicting sales and profits at the gaming facility 50, and predicted values of multiple items of data representing sales and profits, for each type of gaming machine 5. After S8 ends, the storage device 3 ends the process for predicting future sales and profits.

[0057] The information processing system 100 may be configured such that the processes of S3 to S6 are mainly executed by the terminal device 2. In this configuration, in S3, the user inputs parameters by operating the operation unit 24, and the terminal device 2 acquires the parameters input by the user using a browser. The calculation unit 21 stores the acquired parameters in the memory 22 or the storage unit 23, changes the input image so as to display the acquired parameters, and displays the changed input image on the display unit 25.

[0058] In this embodiment, in S4, the terminal device 2 uses a browser to calculate a predicted value of data representing future sales and profits at the amusement arcade 50. The information processing device 1 transmits parameters acquired from the storage device 3 to the terminal device 2 as necessary. The calculation unit 21 calculates a predicted value of data representing future sales and profits based on the parameters acquired from the storage device 3 and the parameters acquired from the user. A program necessary to calculate the predicted value may be downloaded from the information processing device 1 to the terminal device 2 as necessary.

[0059] In this embodiment, in S5, the terminal device 2 uses a browser to convert the predicted data into converted data. At this time, the calculation unit 21 generates a character string including the contents of the predicted values of multiple items of data representing multiple items of parameters and sales and profits for each type of gaming machine 5. In S6, the terminal device 2 transmits the converted data to the information processing device 1. At this time, the calculation unit 21 causes the communication unit 26 to transmit the converted data to the information processing device 1. The information processing device 1 receives the converted data and transmits it to the storage device 3.

[0060] The information processing system 100 executes the processes S1 to S8 for one game arcade 50 as needed. For example, the information processing system 100 executes the processes S1 to S8 periodically, such as once a day, as needed. The information processing system 100 also performs information processing to predict future sales and profits at a plurality of game arcades 50. That is, the information processing system 100 executes the processes S1 to S8 for each game arcade 50. The processing for each game arcade 50 is performed as needed. The processing for a plurality of game arcades 50 may be performed sequentially or in parallel.

[0061] As described above in detail, in this embodiment, the information processing device 1 calculates the predicted values of multiple items of data representing future sales and profits at the gaming facility 50, and generates a character string including the parameters of the multiple items for predicting sales and profits and the predicted values of the multiple items of data. At this time, the information processing device 1 calculates the predicted values of multiple items of data representing future sales and profits for each type of gaming machine, generates one character string for one type of gaming machine 5, and generates multiple character strings for multiple types of gaming machines 5. The information processing device 1 transmits the character string to the storage device 3, and the storage device 3 restores the parameters of the multiple items for predicting sales and profits and the predicted values of the multiple items of data representing future sales and profits from the character string and stores them.

[0062] By converting the parameters and predicted values consisting of many items into character strings and outputting the character strings, even a browser that cannot output an array with a large number of items can output the parameters and predicted values consisting of many items. Therefore, it is possible to use the browser to calculate a predicted value of multiple items of data representing future sales and profits at the game store 50, output the predicted value of multiple items of data together with multiple items of parameters for predicting sales and profits, and store them in the storage device 3. Since it is possible to calculate, output, and store the predicted value using the browser, it is possible to perform information processing for predicting sales and profits at the game store 50 outside the game store 50. A user can use the browser to access information on sales and profits at the game store 50 from outside the game store 50 and predict sales and profits. This improves the convenience of the game store 50.

[0063] Furthermore, since the information processing device 1 performs information processing for predicting sales and profits of the amusement store 50 outside the amusement store 50, it is possible to perform information processing for predicting sales and profits for multiple amusement stores 50. By performing information processing on multiple amusement stores 50 in the information processing device 1, information processing on multiple amusement stores 50 is performed efficiently. Users can use a browser to access information on multiple amusement stores 50, improving the convenience of operating multiple amusement stores 50.

[0064] The information processing system 100 may be configured to perform information processing for predicting future sales and profits at the gaming establishment 50 for each group of multiple gaming machines 5. FIG. 9 is a schematic diagram showing an example of an input image for acquiring parameters for each group of multiple gaming machines 5. In the gaming establishment 50, multiple gaming machines 5 may be grouped and arranged. A group of multiple gaming machines 5 gathered together is called an "island." In the gaming establishment 50, multiple islands may be arranged. Game settings and maintenance of the gaming machines 5 may be performed for each island of gaming machines 5.

[0065] 9 shows an example in which multiple parameters for predicting future sales and profits are displayed for each island of the gaming machine 5. Information specifying the island of the gaming machine 5, such as island 1 and island 2, is displayed, and parameters related to each type of gaming machine 5 are displayed. In S3, the user can use a browser that uses an input image such as that shown in FIG. 9 to input and change parameters such as out, start, and nail width for each island of the gaming machine 5.

[0066] In S1, the information processing device 1 may acquire at least a part of parameters for predicting future sales and profits at the gaming establishment 50 for each type of gaming machine 5 or for each island of the gaming machine 5. In S2, the information processing device 1 uses a browser to output an input image as shown in FIG. 9. In S3, the information processing device 1 acquires parameters for each island of the gaming machine 5 using a browser that uses an input image as shown in FIG. 9. In S4, the information processing device 1 calculates predicted values of multiple items of data representing future sales and profits at the gaming establishment 50 for each island of the gaming machine 5. In S5, the information processing device 1 converts the predicted data by generating a character string including the values of the parameters of the multiple items and the predicted values of the multiple items for each island of the gaming machine 5. In S6, the information processing device 1 transmits the converted data to the storage device 3, and in S7, the storage device 3 restores the predicted data. In S8, the storage device 3 stores, for each island of the gaming machines 5, a plurality of parameters for predicting sales and profits at the gaming facility 50, and predicted values of a plurality of data items representing sales and profits.

[0067] In this way, the information processing system 100 can perform information processing for predicting sales and profits for each island of the gaming machines 5 outside the gaming establishment 50. The user can use a browser to access information on sales and profits for each island of the gaming machines 5 from outside the gaming establishment 50 and predict sales and profits for each island of the gaming machines 5.

[0068] The information processing system 100 may be configured to perform information processing for predicting future sales and profits at the gaming establishment 50 for each gaming machine 5. FIG. 10 is a schematic diagram showing an example of an input image for acquiring parameters for each gaming machine 5. Information specifying a machine number specifying each gaming machine 5 is displayed, and parameters related to each gaming machine 5 are displayed. In S3, a user can input and change parameters such as out, start, and nail width for each gaming machine 5 by using a browser using an input image as shown in FIG.

[0069] In S1, the information processing device 1 may acquire at least a part of parameters for predicting future sales and profits at the gaming establishment 50 by type of gaming machine 5 or by each gaming machine 5. In S2, the information processing device 1 uses a browser to output an input image as shown in FIG. 10. In S3, the information processing device 1 uses a browser that uses an input image as shown in FIG. 10 to acquire parameters for each gaming machine 5. In S4, the information processing device 1 calculates a predicted value of multiple items of data representing future sales and profits at the gaming establishment 50 for each gaming machine 5. In S5, the information processing device 1 converts the predicted data by generating a character string including the values of the parameters of the multiple items and the predicted values of the multiple items for each gaming machine 5. In S6, the information processing device 1 transmits the converted data to the storage device 3, and in S7, the storage device 3 restores the predicted data. In S8, the storage device 3 stores, for each gaming machine 5, a plurality of parameters for predicting sales and profits at the gaming facility 50, as well as predicted values of a plurality of data items representing sales and profits.

[0070] In this way, the information processing system 100 can perform information processing for predicting sales and profits for each gaming machine 5 outside the gaming establishment 50. A user can use a browser to access information on sales and profits for each gaming machine 5 from outside the gaming establishment 50 and predict sales and profits for each gaming machine 5.

[0071] The information processing system 100 may perform information processing for predicting future sales and profits at the gaming establishment 50 based on the unit price of the game medium used in the gaming machine 5. For example, the gaming machines 5 include a 4 yen pachinko machine with a rental unit price of the game medium of 4 yen, a 1 yen pachinko machine with a rental unit price of the game medium of 1 yen, a 20 yen slot machine with a rental unit price of the game medium of 20 yen, and a 5 yen slot machine with a rental unit price of the game medium of 5 yen.

[0072] Fig. 11 is a schematic diagram showing an example of an input image for acquiring parameters for each unit price of game media used in the gaming machine 5. The information processing device 1 outputs a plurality of input images for acquiring parameters for each of 4 yen pachinko, 1 yen pachinko, 20 yen slot, and 5 yen slot. Fig. 11 shows a state in which an input image for learning parameters related to 4 yen pachinko is displayed.

[0073] The terminal device 2 and the information processing device 1 obtain an instruction to switch the input screen by using a browser when the user operates the operation unit 24. The information processing device 1 switches between displaying input images relating to 4 yen pachinko, 1 yen pachinko, 20 yen slot, and 5 yen slot in response to the switching instruction. An input image for acquiring parameters is displayed for each of the 4 yen pachinko, 1 yen pachinko, 20 yen slot, and 5 yen slot. In S3, the user can input and change parameters such as out, start, and nail width for each unit price of game media used in the game machine 5 by using a browser using an input image such as that shown in FIG. 11.

[0074] In S1, the information processing device 1 acquires at least a part of parameters for predicting future sales and profits at the gaming establishment 50 for each unit price of the game medium used in the gaming machine 5. In S2, the information processing device 1 uses a browser to output an input image as shown in FIG. 10. In S3, the information processing device 1 acquires parameters for each unit price of the game medium using a browser that uses an input image as shown in FIG. 10. In S4, the information processing device 1 calculates predicted values of multiple items of data representing future sales and profits at the gaming establishment 50 for each unit price of the game medium. In S5, the information processing device 1 converts the predicted data by generating a character string including the values of parameters of multiple items and the predicted values of multiple items for each unit price of the game medium. In S6, the information processing device 1 transmits the converted data to the storage device 3, and in S7, the storage device 3 restores the predicted data. In S8, the storage device 3 stores a plurality of parameters for predicting sales and profits at the game store 50 for each unit price of the game media, as well as predicted values of a plurality of data items representing sales and profits.

[0075] In this way, the information processing system 100 can perform information processing for predicting sales and profits by unit price of the game media used in the game machines 5 outside the game establishment 50. Using a browser, a user can access information relating to sales and profits by unit price of the game media from outside the game establishment 50 and predict sales and profits by unit price of the game media used in the game machines 5.

[0076] The present invention is not limited to the contents of the above-described embodiment, and various modifications are possible within the scope of the claims. In other words, embodiments obtained by combining technical means appropriately modified within the scope of the claims are also included in the technical scope of the present invention.

[0077] The matters described in each embodiment can be combined with each other. In addition, the independent claims and dependent claims described in the claims can be combined with each other in any and all combinations regardless of the citation format. Furthermore, the claims use a format in which a claim cites two or more other claims (multiple claim format), but this is not limited to this. A multiple claim (multi-multi claim) that cites at least one multiple claim may also be used. [Explanation of symbols]

[0078] 1. Information processing device 10 Recording media 11 Arithmetic section 13 Storage section 131 Computer Programs 2 Terminal Equipment 3 Storage device 4 Management device 5 Gaming machines 50 Amusement store

Claims

1. acquiring at least a portion of a plurality of parameters for predicting future sales at a gaming facility in which a plurality of types of gaming machines using gaming media are installed, for each type of gaming machine, from a storage device; Using a browser, a part of the parameters of the plurality of items is acquired for each type of gaming machine; using the browser, calculating predicted values of a plurality of items that predict future sales by type of gaming machine based on the parameters of the plurality of items; converting at least a part of the parameters of the plurality of items and the predicted values of the plurality of items into a character string including the contents of at least a part of the parameters of the plurality of items and the predicted values of the plurality of items for each type of gaming machine; Sending the character string to the storage device; In the storage device, at least a part of the parameters of the plurality of items and the predicted values of the plurality of items are restored from the character string; The storage device stores at least a part of the parameters of the plurality of items and the predicted values of the plurality of items for each type of gaming machine.

23. An information processing method comprising:

2. The parameters acquired using the browser are the number of game media inserted into the gaming machine, or parameters related to a lottery for paying out game media.