JP2014186591A - Information processing apparatus, information processing system, information processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing apparatus, an information processing system, an information processing method and a program that can enhance the accuracy of foreseeing the quantity of net cash outflow.SOLUTION: An information processing apparatus comprises a number of outgoing bank notes predicting unit that predicts the number of outgoing bank notes in a predetermined prediction period on the basis of the actual number of outgoing bank notes from an automatic telling machine in a first real record period; a number of incoming bank notes predicting unit that predicts the number of incoming bank notes in the prediction period on the basis of the actual number of incoming bank notes into the automatic telling machine in a second real record period; and a number of net outflowing bank notes predicting unit that predicts the number of net outflowing bank notes from the automatic telling machine in the prediction period by calculating a difference between the predicted number of outgoing bank notes and the predicted number of incoming bank notes.

Description

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

  Recently, automatic transaction apparatuses represented by ATM (Automated Teller Machine) of financial institutions are installed in various places such as banks, station premises, and convenience stores.

  In this automatic transaction apparatus, for example, withdrawals or deposits are generated by transactions such as withdrawal transactions and deposit transactions, so it is necessary to periodically replenish or collect cash. For example, Patent Literature 1 discloses a technique for predicting a payment amount for each installed store and extracting a store with a high priority for funding based on a prediction result.

JP 2000-207480 A

  Generally, withdrawals and deposits have different trends in quantity changes. Specifically, withdrawals tend to be linked to dates, and deposits tend to be linked to days of the week. However, since the above technology predicts the amount of cash outflow based on the difference between the daily withdrawal and receipt results, the trends in changes in the number of withdrawals and receipts are absorbed into each other. The accuracy of is low. In particular, when the arrangement of days of the week and holidays differs greatly between the actual period and the prediction period, the deviation of the prediction value increases.

  Accordingly, the present invention has been made in view of the above problems, and an object of the present invention is to provide a new and improved information processing apparatus capable of improving the accuracy of predicting the outflow amount of cash. An information processing system, an information processing method, and a program are provided.

  In order to solve the above-described problem, according to an aspect of the present invention, the number of withdrawals for predicting the number of withdrawals in a predetermined forecast period based on the number of withdrawals from the automatic transaction apparatus in the first performance period. A predicting unit, a deposit number predicting unit that predicts a deposit number in the forecast period based on a record of the number of deposits to the automatic transaction apparatus in a second actual period, and the predicted withdrawal number There is provided an information processing apparatus comprising: an outflow number prediction unit that predicts an outflow number from the automatic transaction apparatus during the prediction period by calculating a difference from the deposit amount.

  The length of the first performance period, the second performance period, and the prediction period is one day, the prediction period and the first performance period have the same date, and the prediction period and the The day of the week may be the same as the second performance period.

  The forecast period and the second performance period may have the same week and day of the week.

  The first performance period and the second performance period may be different in year from the prediction period, and the prediction period and month may be the same.

  The withdrawal number predicting unit predicts the number of withdrawals from the automatic transaction apparatus in the first performance period as the number of withdrawals in the prediction period, and the deposit number prediction unit is in the second performance period. The number of deposits to the automatic transaction apparatus may be predicted as the number of deposits in the prediction period.

  The withdrawal number prediction unit predicts the number of withdrawals from the automatic transaction apparatus in the prediction period for each denomination, and the deposit number prediction unit determines the amount to be paid to the automatic transaction apparatus in the prediction period for each denomination. The number of deposits may be predicted, and the outflow number prediction unit may predict the number of outflows from the automatic transaction apparatus in the prediction period for each denomination.

  Moreover, in order to solve the said subject, according to another viewpoint of this invention, it has an information processing apparatus and an automatic transaction apparatus, The said automatic transaction apparatus carries out cash deposit / withdrawal based on a user's operation. A depositing / withdrawing unit to perform, and a transmission unit for transmitting the number of withdrawals from the depositing / withdrawing unit and the number of deposits to the depositing / withdrawing unit to the information processing device, and the information processing device includes: A withdrawal number predicting unit for predicting the number of withdrawals in a predetermined forecast period based on the results of the number of withdrawals from the automatic transaction apparatus in the performance period, and the number of deposits to the automatic transaction apparatus in the second performance period The automatic transaction apparatus in the prediction period by calculating the difference between the predicted number of deposits and the predicted number of deposits, and the predicted number of deposits in the forecast period based on the actual results The number of spills from Comprising the outflow number prediction unit for measuring, the information processing system is provided.

  In order to solve the above problem, according to another aspect of the present invention, the number of withdrawals in a predetermined prediction period is predicted based on the actual number of withdrawals from the automatic transaction apparatus in the first performance period. A step of predicting the number of deposits in the prediction period based on a record of the number of deposits to the automatic transaction apparatus in a second performance period, and the predicted number of withdrawals and the estimated number of deposits Predicting the number of outflows from the automatic transaction apparatus in the prediction period by calculating the difference, and providing an information processing method.

  Moreover, in order to solve the said subject, according to another viewpoint of this invention, a computer makes the number of withdrawals in a predetermined prediction period based on the performance of the number of withdrawals from the automatic transaction apparatus in a 1st performance period. A withdrawal number prediction unit that predicts a withdrawal number prediction unit that predicts a withdrawal number in the forecast period based on a past record of the number of deposits to the automatic transaction apparatus in a second performance period, and the predicted withdrawal A program is provided for functioning as an outflow number prediction unit that predicts the number of outflows from the automatic transaction apparatus during the prediction period by calculating the difference between the number of sheets and the predicted number of deposits.

  As described above, according to the present invention, it is possible to improve the accuracy of prediction of the outflow amount of cash.

It is explanatory drawing which showed the structure of the information processing system by embodiment of this invention. It is explanatory drawing which showed the hardware constitutions of the information processing apparatus by the embodiment. 2 is a functional block diagram illustrating a configuration of an information processing apparatus according to the embodiment. FIG. It is explanatory drawing which showed an example of the structure of the performance data by the embodiment. It is explanatory drawing which showed an example of the performance data by the embodiment. It is the graph which showed an example of the performance data by the embodiment. It is explanatory drawing which showed an example of the result of the outflow prediction by the same embodiment. It is the graph which showed an example of the result of the outflow prediction by the embodiment. It is the functional block diagram which showed the structure of the automatic transaction apparatus by the same embodiment. FIG. 6 is a sequence diagram showing an operation according to the same embodiment. It is the flowchart which showed the operation | movement of the prediction process of the outflow amount by the embodiment.

  Exemplary embodiments of the present invention will be described below in detail with reference to the accompanying drawings. In addition, in this specification and drawing, about the component which has the substantially same function structure, duplication description is abbreviate | omitted by attaching | subjecting the same code | symbol.

  In the present specification and drawings, a plurality of components having substantially the same functional configuration may be distinguished by adding different alphabets after the same reference numeral. For example, a plurality of configurations having substantially the same functional configuration are distinguished as necessary, such as an automatic transaction apparatus 20a and an automatic transaction apparatus 20b. However, when it is not necessary to particularly distinguish each of a plurality of constituent elements having substantially the same functional configuration, only the same reference numerals are given. For example, when it is not necessary to distinguish between the automatic transaction apparatus 20a and the automatic transaction apparatus 20b, they are simply referred to as the automatic transaction apparatus 20.

Further, the “DETAILED DESCRIPTION OF THE INVENTION” will be described according to the following item order.
1. 1. Basic configuration of information processing system 2. Detailed description of embodiments 2-1. Configuration 2-2. Operation 2-3. Effect 3. Modified example

<1. Basic Configuration of Information Processing System>
The present invention can be implemented in various forms as will be described in detail in “2. Detailed Description of Embodiments” as an example. In the following, first, the basic configuration of the information processing system according to the present embodiment will be described with reference to FIG.

  As shown in FIG. 1, the information processing system according to the present embodiment includes an information processing apparatus 10, a financial institution host 12, a dedicated network 14, an automatic transaction apparatus 20, and a terminal management apparatus 22.

-Information processing device 10-
The information processing apparatus 10 is an apparatus for predicting the outflow amount of cash from each automatic transaction apparatus 20 installed in a financial institution. In the automatic transaction apparatus 20, for example, cash flows out by a withdrawal transaction, so it is necessary to load the automatic transaction apparatus 20 with cash at an appropriate timing. For this reason, the information processing apparatus 10 predicts the outflow amount of cash in a certain period (prediction period) in the future based on the past withdrawal record and deposit record.

  Further, the information processing apparatus 10 has a hardware configuration as shown in FIG. As illustrated in FIG. 2, the information processing apparatus 10 includes a CPU (Central Processing Unit) 150, a ROM (Read Only Memory) 152, a RAM (Random Access Memory) 154, an internal bus 156, an input / output interface 158, and an HDD (Hard). Disk Drive) 160 and network interface 162.

  The CPU 150 is configured as an example of a withdrawal number prediction unit 104, a deposit number prediction unit 106, and an outflow number prediction unit 108, which will be described later. The CPU 150 functions as an arithmetic processing unit and a control unit, and controls overall operations in the information processing apparatus 10 according to various programs. The CPU 150 may be a microprocessor.

  The ROM 152 stores programs used by the CPU 150, calculation parameters, and the like. The RAM 154 temporarily stores programs used in the execution of the CPU 150, parameters that change as appropriate during the execution, and the like. The CPU 150, the ROM 152, and the RAM 154 are connected to each other by an internal bus 156 that includes a CPU bus or the like.

  The input / output interface 158 connects the HDD 160 and the network interface 162 to the internal bus 156. For example, the HDD 160 exchanges data with the RAM 154 or the like via the input / output interface 158 and the internal bus 156.

  The HDD 160 is, for example, a data storage device configured as an example of a performance data storage unit 102 described later. The HDD 160 may include a storage medium, a recording device that records data on the storage medium, a reading device that reads data from the storage medium, a deletion device that deletes data recorded on the storage medium, and the like. The HDD 160 stores programs executed by the CPU 150 and various data.

  The network interface 162 is a communication interface configured with, for example, a communication device for connecting to the dedicated network 14, and is configured as an example of the communication unit 100 described later. The network interface 162 may be a wireless LAN compatible communication device, an LTE (Long Term Evolution) compatible communication device, or a wire communication device that performs wired communication.

-Financial institution host 12-
The financial institution host 12 controls various transactions by communicating with the automatic transaction apparatus 20 via the dedicated network 14. For example, the financial institution host 12 authenticates a customer who operates the automatic transaction apparatus 20, or executes a monetary transaction (account transaction process) such as payment or transfer instructed by the customer in the automatic transaction apparatus 20. . The financial institution host 12 manages customer information (account ledger) such as account number, personal identification number, name, address, age, date of birth, telephone number, occupation, family structure, annual income, and deposit balance.

-Dedicated network 14-
The dedicated network 14 is a network of a financial institution, and is configured by, for example, an IP-VPN (Internet Protocol-Virtual Private Network). The information processing apparatus 10 and the financial institution host 12 can communicate with the automatic transaction apparatus 20 via the dedicated network 14.

-Automatic transaction device 20-
The automatic transaction apparatus 20 is a customer operation type terminal that executes a cash deposit / withdrawal transaction based on, for example, an operation by a customer (user) of a financial institution. FIG. 1 shows an example in which the automatic transaction apparatus 20 and the terminal management apparatus 22 are installed in the branch 2 of the financial institution. However, the present invention is not limited to this example, and is not limited to such an example, but a convenience store, station premises, hotel, hospital, amusement park It may be installed in restaurants, office buildings, etc.

-Terminal management device 22-
The terminal management apparatus 22 is an apparatus that is installed in, for example, a branch 2 of a financial institution, and that manages the automatic transaction apparatus 20 installed in the branch 2 and communicates with the information processing apparatus 10 and the financial institution host 12.

  In the information processing system described above, the information processing apparatus 10 according to the present embodiment can improve the accuracy of predicting the outflow amount of cash. Hereinafter, such an embodiment of the present invention will be described in detail.

<2. Detailed Description of Embodiment>
[2-1. Constitution]
(2-1-1. Configuration of Information Processing Device 10)
FIG. 3 is a functional block diagram showing the configuration of the information processing apparatus 10 according to the present embodiment. As illustrated in FIG. 3, the information processing apparatus 10 includes a communication unit 100, a performance data storage unit 102, a withdrawal number prediction unit 104, a deposit number prediction unit 106, and an outflow number prediction unit 108.

  The communication unit 100 transmits and receives information to and from various devices via, for example, the dedicated network 14. For example, the communication unit 100 receives actual data on the number of withdrawals or the number of deposits from the automatic transaction apparatus 20.

  The record data storage unit 102 stores record data of the number of withdrawals or the number of deposits received from each automatic transaction apparatus 20. Here, with reference to FIG. 4, an example of a structure of the performance data stored in the performance data storage unit 102 will be described. As shown in FIG. 4, the result data includes, for example, a device ID 1020, a date 1022, a day of the week 1024, a deposit / withdrawal classification 1026, a denomination 1028, and a number 1030. Here, in the device ID 1020, an identifier assigned to each automatic transaction device 20 is recorded. In addition, in the date 1022, the date on which the transaction was performed is recorded. In addition, in the day of the week 1024, the day of the week on which the transaction was performed is recorded. The deposit / withdrawal classification 1026 records whether the type of transaction is withdrawal or receipt. The denomination 1028 records the type of bill or coin traded. The number 1030 records the number of bills or coins recorded in the denomination 1028.

  For example, the record data of the first record in FIG. 4 is data related to the automatic transaction apparatus 20 whose apparatus ID is “0001”, the transaction date is “February 4, 2013”, and the day of the transaction date is “ Monday ", indicating that" 3 thousand yen bills were withdrawn "due to the transaction.

  The withdrawal number predicting unit 104 predicts the number of withdrawals in a predetermined prediction period based on the actual number of withdrawals from the automatic transaction apparatus 20 in the first performance period. Here, the length of the first performance period and the prediction period is determined to be, for example, one day, one week, or one month.

  In general, the number of withdrawals from the automatic transaction apparatus 20 tends to be linked to the date, for example, because the pension or salary payment date is a fixed day. More specifically, there is a tendency that the number of gold at a certain sunrise is almost the same as the number of gold at the same month of the previous year. For this reason, it is also possible for the prediction period and the first performance period to be set to the same date. Further, the first performance period is different from the prediction period and the year, and the prediction period and the month can be set to be the same. For example, when the prediction period is “November 6, 2012”, the first performance period may be set to “November 6, 2011”.

  In addition, the withdrawal number prediction unit 104 can also predict the withdrawal number from the automatic transaction apparatus 20 in the first performance period as the withdrawal number in the prediction period. For example, when the number of withdrawals in the first performance period is “100”, the withdrawal number prediction unit 104 may predict the number of withdrawals in the prediction period as “100”.

  The deposit number prediction unit 106 predicts the deposit number in the prediction period based on the record of the number of deposits to the automatic transaction apparatus 20 in the second performance period. Here, the length of the second performance period is set to one day, one week, one month, or the like, for example.

  Generally, the number of deposits to the automatic transaction apparatus 20 tends to be linked to the day of the week. Also, the number of deposits tends to be linked to the week. More specifically, the number of deposits on one day tends to be about the same as the same day of the same week of the same month of the previous year. For this reason, the forecast period and the second performance period can be set to the same day of the week, or the week and the day of the week can be set to the same. Further, the second performance period is different from the prediction period and the year, and the prediction period and the month can be set to be the same. For example, when the prediction period is “November 6, 2012 (Tuesday)”, the first performance period may be set to “November 8, 2011 (Tuesday)”. Further, when the prediction period is a holiday, the second performance period can be set on Sunday of the same week as the prediction period, for example.

  Further, the deposit number predicting unit 106 can also predict the deposit number to the automatic transaction apparatus 20 in the second performance period as the deposit number in the prediction period. For example, when the number of deposits in the second performance period is “60”, the deposit number prediction unit 106 may predict the number of deposits in the prediction period as “60”.

  The outflow number prediction unit 108 predicts the outflow number from the automatic transaction apparatus 20 in the prediction period by calculating the difference between the predicted withdrawal number and the predicted deposit number. For example, when the predicted number of withdrawals is “100” and the predicted number of deposits is “60”, the outflow number prediction unit 108 outputs the number of outflows from the automatic transaction apparatus 20 during the prediction period. Is predicted to be “40”.

  Note that the withdrawal number prediction unit 104, the receipt number prediction unit 106, and the outflow number prediction unit 108 are the number of withdrawals from the automatic transaction apparatus 20, the number of deposits to the automatic transaction apparatus 20, and the automatic transaction for each denomination. It is also possible to predict the number of outflows from the device 20.

-Specific example of prediction of number of spills-
Here, with reference to FIGS. 5 to 8, a specific example of prediction by the withdrawal number prediction unit 104, the deposit number prediction unit 106, and the outflow number prediction unit 108 will be described. FIG. 5 is an explanatory diagram showing an example of performance data for the same month of the previous year. In FIG. 5, the withdrawal actual number 302 indicates the actual number of withdrawals from the automatic transaction apparatus 20 on each day. For example, the number of withdrawals 302 indicates that the number of withdrawals on “5th (Sat)” is “400”. Further, the actual number of deposits 304 indicates the actual number of deposits to the automatic transaction apparatus 20 on each day. For example, the actual number of deposits 304 indicates that the number of deposits on “5th (Sat)” is “50”. The outflow record 300 shows the difference between the outflow number of each day, that is, the withdrawal record number 302 and the deposit record number 304. For example, the outflow record 300 indicates that the number of outflows on “5th (Sat)” is “350”.

  FIG. 6 is an example in which the performance data shown in FIG. 5 is illustrated by a graph. FIG. 7 is an explanatory diagram showing an example of the number of outflows in the current month predicted based on the performance data shown in FIG. In FIG. 7, the estimated withdrawal number 404 indicates the number of each sunrise money predicted by the withdrawal number prediction unit 104 based on the actual withdrawal number 302 shown in FIG. 5. The predicted withdrawal number 404 is an example in which the withdrawal number prediction unit 104 predicts the same number of sunrises as in the same month of the previous year, that is, the actual number of withdrawals 302 as each sunrise amount. For example, the estimated withdrawal number 404 shows an example in which “400” is predicted as the withdrawal number on “5th (Monday)”.

  The predicted deposit number 406 indicates the predicted deposit number for each day, which is predicted by the deposit number predicting unit 106 based on the actual deposit number 304 shown in FIG. The predicted deposit number 406 is an example in which the deposit number prediction unit 106 predicts the number of deposits on the same day of the same week of the same month of the previous year as the number of deposits for each day. For example, the predicted deposit number 406 shows an example in which “100” is predicted as the deposit number of “5th (month)”.

  Further, the outflow prediction (this application) 402 indicates the predicted outflow number of each day predicted by the outflow number prediction unit 108 based on the estimated withdrawal number 404 and the estimated deposit number 406. In addition, the number of outflows (comparative example) 400 shows the prediction result of the number of outflows in the current month according to the comparative example of the present invention for the purpose of clearly showing the features of the present invention. The comparative example of the present invention is an example in which the number of outflows on the same day of the same month of the previous year, that is, the value of the outflow record 300 shown in FIG.

  FIG. 8 is a graph illustrating the prediction results shown in FIG. As shown in FIG. 8, in the first week (1st to 4th), for example, a large difference occurs between the outflow prediction (comparative example) 400 and the outflow prediction (this application) 402 on the 3rd day. The reason for this is that in the comparative example of the present invention, on the third day (Saturday) of the current month, the payment result of “3rd (Thursday)” in the same month of the previous year, which is different from the current day, is reflected in the prediction result. On the other hand, in the present embodiment, on the third day (Saturday) of the current month, the same day as the current day is the same as the day of the week. Because there is.

  Further, in the second week (5th to 7th), for example, a difference occurs between the outflow prediction (comparative example) 400 and the outflow prediction (this application) 402 on the 5th day. This is because, in the comparative example of the present invention, on the 5th (Monday) of the current month, the payment result of “5th (Saturday)” in the same month of the previous year, which is different from the current week, is reflected in the prediction result. On the other hand, in the present embodiment, on the fifth day (month) of the current month, the deposit result of “7th (month)” in the same month of the previous year, where the week and day of the week are the same, is predicted as the number of deposits. This is because there is a difference.

  Note that, according to the first embodiment, a computer for causing the hardware such as the CPU 150, the ROM 152, and the RAM 154 built in the information processing apparatus 10 to perform the same functions as the components of the information processing apparatus 10 described above. Programs can also be provided. A storage medium storing the computer program is also provided.

  The configuration of the information processing apparatus 10 according to the present embodiment has been described above, but is not limited to the configuration described above. For example, the communication unit 100 and the record data storage unit 102 are not included in the information processing apparatus 10 and may be provided in another apparatus.

(2-1-2. Configuration of Automatic Transaction Device 20)
FIG. 9 is a functional block diagram showing the configuration of the automatic transaction apparatus 20 according to the present embodiment. As shown in FIG. 9, the automatic transaction apparatus 20 includes a control unit 200, a communication unit 202 (transmission unit), an operation display unit 204, a passbook mechanism unit 206, a card mechanism unit 208, a statement slip mechanism unit 210, and a deposit / withdrawal. Part 212.

  The control unit 200 has a function of generally controlling the operation of the automatic transaction apparatus 20 using hardware such as a CPU and a RAM built in the automatic transaction apparatus 20. For example, the control unit 200 controls operations of other components such as the communication unit 202.

  The communication unit 202 transmits / receives information to / from various apparatuses via the dedicated network 14, for example. For example, the communication unit 202 transmits to the information processing apparatus 10 the number of deposits from the deposit / withdrawal unit 212 described later and the number of deposits to the deposit / withdrawal unit 212.

  The operation display unit 204 includes a function as a display unit that displays various display screens such as a transaction screen and a customer operation unit that detects a customer operation. The function as the display unit is realized by, for example, a CRT (Cathode Ray Tube) display device, a liquid crystal display (LCD) device, or an OLED (Organic Light Emitting Diode) device. Moreover, the function as a customer operation part is implement | achieved by the touch panel, for example.

  The passbook mechanism unit 206 performs various operations such as reading of recorded contents, recording of traded information, and discharging of the passbook with respect to a passbook inserted in a passbook insertion port (not shown) provided in the automatic transaction apparatus 20. .

  The card mechanism unit 208 reads and writes data recorded on, for example, a magnetic stripe or an IC (Integrated Circuit) chip with respect to a card inserted in a card insertion slot (not shown) provided in the automatic transaction apparatus 20. .

  The statement slip mechanism unit 210 prints the traded information on the statement slip or discharges the printed statement slip according to an instruction from the control unit 200.

  The deposit / withdrawal unit 212 is configured by a banknote deposit / withdrawal machine (not shown) or a coin deposit / withdrawal machine (not shown) provided in the automatic transaction apparatus 20, and performs deposit / withdrawal processing of banknotes or coins. For example, the deposit / withdrawal unit 212 counts the bills deposited by the user into the bill insertion slot (not shown), and stores it in a safe (not shown) provided in the bill depositing / dispensing machine. Further, for example, when “withdrawal transaction” is selected by the user on the transaction screen, the deposit / withdrawal unit 212 counts out the banknotes or coins corresponding to the amount designated by the user from the safe and counts them. It is discharged from the insertion slot or coin insertion slot (not shown).

[2-2. Operation]
The configuration according to this embodiment has been described above. Subsequently, an operation according to the present embodiment will be described. Here, as an example, an example in which the information processing apparatus 10 simultaneously predicts the number of outflows for one month will be described.

  FIG. 10 is a sequence diagram showing an operation according to the present embodiment. As shown in FIG. 10, the automatic transaction apparatus 20 first, for example, at a predetermined time such as after the end of business hours, the number of withdrawals for each denomination for the day and the number of deposits for each denomination for the day. Is transmitted to the information processing apparatus 10 (S101).

  Subsequently, the record data storage unit 102 of the information processing apparatus 10 stores the received withdrawal number and the received number for each denomination (S102). After that, for example, when a predetermined time such as the end of the month arrives (S103: Yes), the information processing apparatus 10 performs an outflow amount prediction process (S104).

  Here, with reference to FIG. 11, the detail of the prediction process in S104 is demonstrated. First, the record data storage unit 102 of the information processing apparatus 10 extracts stored record data of, for example, the same month of the previous year (S201). Subsequently, the information processing apparatus 10 sets “1 (day)” to N representing the prediction period (S202).

  Subsequently, the withdrawal number predicting unit 104 predicts the number of N sunrise deposits for each denomination, for example, based on the actual number of sunrise deposits in the same month of the previous year (S203). For example, the withdrawal number predicting unit 104 predicts the actual number of sunrises in the same month of the previous year as the number of sunrises N for each denomination.

  Subsequently, the deposit number predicting unit 106 predicts the deposit number on day N for each denomination, for example, based on the actual deposit number of the same week of the same month of the previous year (S204). For example, the deposit number predicting unit 106 predicts the actual deposit number of the same week of the same month of the previous year as the deposited number of N days for each denomination.

  Subsequently, the outflow number prediction unit 108 calculates the difference between the number of withdrawals predicted in S203 and the number of receipts predicted in S204 for each denomination, and predicts the number of outflows for N days (S205).

  Subsequently, the information processing apparatus 10 adds 1 (day) to N (S206). Then, the information processing apparatus 10 determines whether N has exceeded the number of days in the prediction month (S207). If N is within the number of days in the predicted month (S207: No), the information processing apparatus 10 repeats the operation of S203 again. On the other hand, when N exceeds the number of days in the prediction month (S207: Yes), the information processing apparatus 10 ends the prediction process.

[2-3. effect]
As described above, for example, as described with reference to FIGS. 3, 10, and 11, the information processing apparatus 10 according to the present embodiment is based on the results of the number of withdrawals from the automatic transaction apparatus 20 in the first performance period. The number of withdrawals in the forecast period is predicted, and the number of deposits in the forecast period is predicted based on the record of the number of deposits to the automatic transaction apparatus 20 in the second performance period. Then, the information processing apparatus 10 predicts the number of outflows from the automatic transaction apparatus 20 during the prediction period by calculating the difference between the predicted withdrawal number and the predicted deposit number. For this reason, since the information processing apparatus 10 predicts the number of sheets by separately reflecting the tendency of the quantity change regarding the withdrawal and payment, it is possible to improve the accuracy of predicting the outflow amount of cash.

  The information processing apparatus 10 determines the first performance period so that the date is the same as the prediction period. Generally, since the number of withdrawals from the automatic transaction apparatus 20 tends to be linked to the date, the information processing apparatus 10 can predict the number of withdrawals in the prediction period with high accuracy.

  Further, the information processing apparatus 10 determines the second performance period so that the week and the day of the week are the same as the prediction period. Generally, since the number of deposits to the automatic transaction apparatus 20 tends to be linked to the week and day of the week, the information processing apparatus 10 can predict the number of deposits in the prediction period with high accuracy.

<3. Modification>
Although the preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, the present invention is not limited to such examples. It is obvious that a person having ordinary knowledge in the technical field to which the present invention pertains can come up with various changes or modifications within the scope of the technical idea described in the claims. Of course, it is understood that these also belong to the technical scope of the present invention.

  For example, in the above description, the example in which the prediction process according to the embodiment of the present invention is applied to the cash outflow prediction from the automatic transaction apparatus is described, but the present invention is not limited to this example. For example, the present invention can be applied to the prediction of product spillage from factories and warehouses, and the prediction of product spillage from retail stores and vending machines.

2 Branch 10 Information processing device 12 Financial institution host 14 Dedicated network 20 Automatic transaction device 22 Terminal management device 100 Communication unit 102 Result data storage unit 104 Deposit number prediction unit 106 Deposit number prediction unit 108 Outflow number prediction unit 150 CPU
152 ROM
154 RAM
156 Internal bus 158 I / O interface 160 HDD
162 network interface 200 control unit 202 communication unit 204 operation display unit 206 passbook mechanism unit 208 card mechanism unit 210 statement slip mechanism unit 212 deposit / withdrawal unit

Claims (9)

A withdrawal number prediction unit that predicts the withdrawal number in a predetermined prediction period based on the actual number of withdrawals from the automatic transaction apparatus in the first achievement period;
A deposit number predicting unit that predicts a deposit number in the prediction period based on a record of the number of deposits to the automatic transaction apparatus in a second record period;
An outflow number prediction unit that predicts an outflow number from the automatic transaction apparatus in the prediction period by calculating a difference between the predicted number of withdrawals and the predicted number of deposits;
An information processing apparatus comprising: The length of the first performance period, the second performance period, and the prediction period is one day,
The forecast period and the first performance period have the same date;
The information processing apparatus according to claim 1, wherein the forecast period and the second performance period have the same day of the week.   The information processing apparatus according to claim 2, wherein the forecast period and the second performance period have the same week and day of the week.   The information processing apparatus according to any one of claims 1 to 3, wherein the first performance period and the second performance period are different in year from the prediction period, and the prediction period and the month are the same. The withdrawal number prediction unit predicts the withdrawal number from the automatic transaction apparatus in the first performance period as the withdrawal number in the prediction period,
5. The information processing apparatus according to claim 1, wherein the deposit number prediction unit predicts a deposit number to the automatic transaction apparatus in the second performance period as a deposit number in the prediction period. The withdrawal number prediction unit predicts the withdrawal number from the automatic transaction apparatus in the prediction period for each denomination,
The deposit quantity prediction unit predicts the deposit quantity to the automatic transaction apparatus in the forecast period for each denomination,
The information processing apparatus according to claim 1, wherein the outflow number prediction unit predicts the outflow number from the automatic transaction apparatus in the prediction period for each denomination. It has an information processing device and an automatic transaction device,
The automatic transaction apparatus is
Deposit / withdrawal department that deposits / withdraws cash based on user operations,
A transmission unit for transmitting the number of withdrawals from the depositing / withdrawing unit and the number of deposits to the depositing / withdrawing unit to the information processing device;
With
The information processing apparatus includes:
A withdrawal number predicting unit for predicting the withdrawal number in a predetermined prediction period based on the actual number of withdrawals from the automatic transaction apparatus in the first achievement period;
A deposit number predicting unit that predicts a deposit number in the prediction period based on a record of the number of deposits to the automatic transaction apparatus in a second record period;
An outflow number prediction unit that predicts an outflow number from the automatic transaction apparatus in the prediction period by calculating a difference between the predicted number of withdrawals and the predicted number of deposits;
An information processing system comprising: Predicting the number of withdrawals in a predetermined forecast period based on the results of the number of withdrawals from the automatic transaction apparatus in the first performance period;
Predicting the number of deposits in the prediction period based on the record of the number of deposits to the automatic transaction apparatus in a second performance period;
Predicting the number of outflows from the automatic transaction apparatus during the prediction period by calculating the difference between the predicted number of withdrawals and the predicted number of deposits;
An information processing method comprising: Computer
A withdrawal number prediction unit that predicts the withdrawal number in a predetermined prediction period based on the actual number of withdrawals from the automatic transaction apparatus in the first achievement period;
A deposit number predicting unit that predicts a deposit number in the prediction period based on a record of the number of deposits to the automatic transaction apparatus in a second record period;
An outflow number prediction unit for predicting the outflow number from the automatic transaction apparatus in the prediction period by calculating a difference between the predicted number of withdrawals and the predicted number of deposits;
Program to function as

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