JP2019046183A - Information processing method and program - Google Patents

Abstract

To provide an information processing method or the like that causes a computer to execute processing for determining an appropriate selling price of a commodity.SOLUTION: An information processing method causes a computer to execute processing for acquiring the point of sale and the selling price of a commodity from an information processing apparatus that holds information on the sale of commodities, calculating a sales interval at the point of sale on the basis of a plurality of points of sale acquired, determining a revised selling price obtained by revising the selling price at the point of sale on th basis of the calculated sales interval, and outputting the determined revised sales price to the information processing apparatus.SELECTED DRAWING: Figure 1

Description

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

  BACKGROUND Conventionally, a sales system performed on the Internet is known (for example, Patent Document 1). The sales system described in Patent Document 1 includes a sales server and a purchaser terminal capable of communicating with the server. The sales server includes a price determination unit that calculates a sales price (purchase price information) of the product, and transmits the sales price calculated by the price determination unit to the purchaser terminal.

  The price determination unit included in the sales system described in Patent Document 1 determines the discount rate based on the number of stocks (remaining number of goods) of goods (goods for sale) and the number of days remaining until the sales deadline. Apply to determine the price.

JP 2017-97386 A

  However, the sales system described in Patent Document 1 has a problem that it is not possible to determine an appropriate selling price because the selling frequency of the product is not taken into consideration in determining the selling price of the product.

  This invention is made in view of such a situation, and an object of this invention is to provide the information processing method etc. which make a computer perform the process which determines the appropriate selling price of goods.

  The information processing method according to the embodiment of the present disclosure acquires the point of sale and selling price of the item from the information processing device that holds information on the sale of the item, and based on the acquired points of sale, the point of sale. A sales interval is calculated, and based on the calculated sales interval, a revised sale price at which the sale price at the time of sale is revised is determined, and the computer is caused to execute processing for outputting the determined revised sale price to the information processing apparatus. It features.

  According to the embodiment of the present disclosure, since the revised selling price in which the selling price at the point of sale is revised is determined based on the sales interval, an appropriate selling price can be determined and output to the information processing apparatus.

  The information processing method according to an embodiment of the present disclosure determines a revised selling price higher than a selling price at the point of sale when the calculated selling interval is equal to or less than a predetermined value, and determines the revised selling price determined by the information processing apparatus. And causing the computer to execute the process of outputting the image.

  According to the embodiment of the present disclosure, when the sales interval is equal to or less than the predetermined value, the revised selling price is determined to be higher than the selling price at the point of sale. Therefore, the appropriate selling price is determined to improve sales. be able to.

  The information processing method according to the embodiment of the present disclosure determines a revised selling price lower than the selling price at the point of sale when the calculated sales interval is larger than the predetermined value, and determines the revised sales price determined by the information processing. A computer is caused to execute processing to be output to the device.

  According to the embodiment of the present disclosure, when the sales interval is larger than the predetermined value, the revised selling price lower than the selling price at the time of selling is determined, so that the appropriate revised selling price is determined and sales are promoted. be able to.

  An information processing method according to an embodiment of the present disclosure is characterized by causing a computer to execute a process of deriving the predetermined value based on sales intervals prior to the point of sale rather than the plurality of points of sale.

  According to the embodiment of the present disclosure, since the predetermined value is derived based on the sales intervals prior to the point of sale rather than the plurality of points of sale, the appropriate revised selling price according to the sales history of the product Can be determined.

  An information processing method according to an embodiment of the present disclosure causes a computer to execute a process of deriving the predetermined value based on an average value or a standard deviation of sales intervals prior to the plurality of points of sale than the plurality of points of sale. It is characterized by

  According to the embodiment of the present disclosure, the predetermined value is derived based on the average value or the standard deviation of the sales intervals prior to the plurality of points of sale, so that the accuracy is efficiently improved. The revised selling price can be determined.

  An information processing method according to an embodiment of the present disclosure acquires the inventory information on the inventory of the product from the information processing device, and determines the revised selling price based on the acquired inventory information and the sales interval. It is characterized by having it run on a computer.

  According to the embodiment of the present disclosure, since the revised selling price is determined based on the stock information and the selling interval, an appropriate revised selling price can be determined.

  The information processing method according to the embodiment of the present disclosure stores the sales history information in which sales history information in which the revised selling price, the time point at which the revised selling price is determined, the selling price and the selling time are associated with the product is stored. A change rate of the revised selling price with respect to the selling price is derived, and a computer is caused to execute a process of determining the revised selling price based on the derived rate of change.

  According to the embodiment of the present disclosure, since the rate of change of the revised selling price is determined based on the sales history information, it is possible to determine an appropriate revised selling price.

  In the information processing method according to the embodiment of the present disclosure, the information processing apparatus has at least two, and when the revised selling price, the revised selling price are determined, the selling price and the point of sale, the product and the product are sold. Store the sales history information associated with the information processing apparatus and determine the revised selling price of the product sold by the one information processing apparatus, the sales history information of the product and the other information processing apparatus are sold The computer is caused to execute a process of determining the revised selling price based on sales history information of the product.

  According to the embodiment of the present disclosure, the revised selling price is determined based on the sales history information of the product sold by another information processing apparatus, and therefore, based on the sales trend of the product in the entire market. Appropriate revised selling prices can be determined.

  An information processing method according to an embodiment of the present disclosure is characterized by creating a report including information on the determined revised sales price, and causing a computer to execute a process of transmitting the created report.

  A program according to an embodiment of the present disclosure acquires the point of sale and selling price of the item from the information processing apparatus that holds information on the sale of the item in the computer, and the point of sale based on the acquired plurality of points of sale. Calculating a sales interval of the item and determining a revised sale price for revising the sale price at the point of sale based on the calculated sale interval, and executing the processing of outputting the determined revised sale price to the information processing apparatus I assume.

  According to the present invention, it is possible to provide an information processing method and the like that causes a computer to execute processing for determining an appropriate selling price of a product.

FIG. 1 is an explanatory view showing an overview of an information processing system according to a first embodiment. It is a block diagram showing the hardware group of a computer. It is an explanation showing an example of a sales server management table. It is the description which shows an example of a goods master management table. It is the description which shows an example of a sales history table. It is the explanation which shows one example of revision sale price history table. It is an explanatory view showing an example (sales price is high) of a sales interval of goods. It is an explanatory view showing an example (sales price is low) of a sales interval of goods. 5 is a flowchart showing a processing procedure according to the first embodiment. 7 is a flowchart showing a processing procedure according to the second embodiment. FIG. 13 is an explanatory drawing showing an example of the rate of change of the revised selling price according to the second embodiment. FIG. 14 is an explanatory view showing an overview of an information processing system according to a third embodiment. 15 is a flowchart illustrating a processing procedure according to Embodiment 3. FIG. 18 is an explanatory drawing showing an example of the determination of the revised selling price according to the third embodiment. 15 is a flowchart illustrating a processing procedure according to the fourth embodiment. 15 is a flowchart illustrating a processing procedure according to the fifth embodiment. FIG. 18 is an explanatory drawing showing an example of the determination of the revised selling price according to the fifth embodiment. 21 is a flowchart illustrating a processing procedure according to a sixth embodiment. Fig. 21 is an explanation showing an example of a report according to a seventh embodiment.

(Embodiment 1)
Hereinafter, the present invention will be described in detail based on the drawings showing the embodiments. FIG. 1 is an explanatory view showing an outline of an information processing system according to the first embodiment. The information processing system is configured of a computer 1 and a sales server 2 (information processing apparatus) which are communicably connected to each other by an external network 4 such as the Internet.

The sales server 2 is a server computer, a personal computer, a mobile phone, or a PDA (Personal Digital Assistance). The sales server 2 functions as an EC (electronic commerce) site that performs sales, settlement, and the like of goods from the purchaser terminal 3 communicably connected via the external network 4 such as the Internet according to the operation of the purchaser.

  The sales server 2 holds information on sales of a product, such as the sales price of the product, the number of stocks, the point of sale (settlement time), the number of items sold, the number of stocks, etc. Every time a product is sold, the sales server 2 transmits information on the sale of the product to the computer 1 via the external network 4. Alternatively, the sales server 2 may output information on sales of goods to the computer 1 in response to a request for information provision from the computer 1. Alternatively, the sales server 2 may output information on sales of goods to the computer 1 periodically by batch processing or the like. The sales server 2 is not limited to this, and may store information on sales of goods without selling goods etc. In addition, the aspect which hold | maintains information is not limited to the aspect which hold | maintains information in the storage medium directly connected to the sales server 2 but includes the aspect which hold | maintains information in the data server connected communicably with the sales server 2 . In addition, the sales server 2 is not limited to the server of the EC site that actually sells the product, and acquires information related to the sale of the product from the sales server 2, and information such as a personal computer or server computer that holds or processes the information. Including a processing unit. The sales server 2 is not limited to a server that sells a product as an EC site, and includes a server that displays the selling price of the product on an electronic tag or the like when the product is sold at a real store.

  The buyer terminal 3 is a mobile phone, a smart phone, a PC (personal computer) or the like, has a communication function, and accesses the sales server 2 via the Internet or the like. Based on the data input by the operation of the buyer 3U, the buyer terminal 3 accesses the sales server 2 and sells the processing such as purchase and settlement of goods on the application or website downloaded from the sales server 2 Cooperating with the server 2

The computer 1 is a server computer, a personal computer, a mobile phone, or a PDA (Personal Digital Assistance). The computer 1 is not limited to a single computer, and includes computer configurations such as a cloud computer having a plurality of computers and a virtual computer operating on a virtual operating system. The computer 1 communicates with the sales server 2 via the external network 4 and acquires information on sales of the product such as the sales price of the product, the number of stocks, the point of sale, the number of products sold, from the sales server 2 together with the identification information of the product. The storage unit 11 stores information on the acquired sale of the product. The computer 1 reads the stored information on the sale of the product, performs arithmetic processing and the like, determines a revised sale price to be described later, and outputs it to the sale server 2. The computer 1 may e-mail data including the determined revised selling price and information used to determine the revised selling price, for example, to the operator of the sales server 2 as a report on the revised selling price.

  FIG. 2 is a block diagram showing a hardware group of the computer 1. The computer 1 includes a control unit 10, a storage unit 11, a RAM 12 (Random Access Memory), an input unit 13, a display unit 14, a communication unit 15, and a clock unit 16. The control unit 10 is configured of a central processing unit (CPU) or a micro processing unit (MPU), and various control processes are performed by reading and executing the control program 11P and data stored in advance in the storage unit 11. And perform arithmetic processing and the like. The control unit 10 is communicably connected to the hardware such as the storage unit 11 via the internal bus 17. The detail of each process which the control part 10 performs is mentioned later.

  The storage unit 11 is composed of a non-volatile memory element such as a ROM (Read Only Memory), an EEPROM (Electrically Erasable Programmable ROM), or a flash memory, and stores in advance the control program 11P and data to be referred to during processing. . The control program 11P stored in the storage unit 11 may store the control program 11P read from a recording medium readable by the computer 1. Alternatively, the control program 11P may be downloaded from an external computer (not shown) and stored in the storage unit 11. The storage unit 11 stores the control program 11P and data necessary for the calculation. The data necessary for the calculation includes information registered in a sales server management table 111, a commodity master management table 112, a sales history table 113, and a revised sales price history table 114, which will be described later. The storage unit 11 is not limited to a form connected to the control unit 10 of the computer 1 via the internal bus 17 and includes the storage unit 11 on a data server (not shown) connected communicably to the computer 1. .

  The RAM 12 is, for example, an SRAM 12 (Static RAM), a DRAM 12 (Dynamic RAM), a flash memory or the like. The RAM 12 also functions as the storage unit 11, and temporarily stores various data generated when the CPU 11 executes various programs. The input unit 13 is an input device such as a mouse or a keyboard, or a mouse or a touch panel, and outputs the received operation information to the control unit 10. The display unit 14 is a display or the like, and displays various information according to an instruction of the control unit 10.

  The communication unit 15 is an input / output interface conforming to a predetermined communication protocol such as IEEE 802.3 in order to communicate with the sales server 2 and the like connected via the external network 4. The communication unit 15 transmits data to the sales server 2 connected via the external network 4 according to the instruction of the control unit 10. The communication unit 15 also receives data transmitted from the sales server 2 and outputs the data to the control unit 10. That is, the control unit 10 communicates with the sales server 2 connected to the external network 4 via the communication unit 15. The clock unit 16 outputs information on time and date to the control unit 10.

  FIG. 3 is an illustration showing an example of the sales server management table 111. As shown in FIG. The items managed by the sales server management table 111 include, for example, items related to a server ID, a server name, an operating company, and a URL. In the item of server ID, for example, an ID for uniquely identifying the sales server 2 is registered, and functions as a primary key in this table. For example, the name or the host name of the sales server 2 is registered in the item of the server name. For example, the name of the company operating the sales server 2 is registered in the item of the operating company. In the item of the URL, for example, a URL (uniform resource locator), an IP address or the like necessary for communicating with the sales server 2 via the external network 4 is registered. The computer 1 can communicate with the sales server 2 by the data registered in each item of the sales server management table 111.

  FIG. 4 is an explanation showing an example of the product master management table 112. The items managed in the product master management table 112 include, for example, items related to product ID, product name, product category, server ID, initial selling price, number of deliveries, and point of time of sales start. In the item of product ID, an ID for uniquely specifying a product is registered, and functions as a primary key in this table. For example, the name of the item is registered in the item of the item name. In the item of item category, for example, the category etc. for classifying or sorting the items is registered. In the item of server ID, for example, the server ID of the sales server 2 in which the product is sold is registered. The same goods may be sold by a plurality of different sales servers 2. Even in this case, by registering products as different records for each sales server 2, it is possible to manage information on sales of each product on each sales server 2. In the item of the initial selling price, for example, the selling price at the start of sale of the product is registered. For example, the number of delivered items is registered in the item of the number of delivered items when the sale of the product is started. Therefore, the delivered quantity corresponds to the initial stock quantity before the goods are sold. For example, information on the date and time when the sale of the product was started is registered in the item at the time of sale start. The data registered in each item of the product master management table 112 allows the control unit 10 of the computer 1 to manage the product and the sales server 2 in association with each other, and the elapsed time from the start of sale of the product to the current time Can manage. In addition, goods are not limited to things, such as food and clothing, but include services of taxi allocation, reservation of a hotel or a classroom, acquisition of a ticket, etc.

  FIG. 5 is an explanation showing an example of the sales history table 113. As shown in FIG. The items managed in the sales history table 113 include, for example, items related to sales history management No, product ID, point of sale, selling price, number of sales, and number of stocks. In the item of sales history management No., for example, a serial number that is incremented each time a sale occurs is registered with an ID for uniquely identifying the actual result of each sale, and functions as a main key in this table. In the item of the item ID, for example, the item ID of the item is registered, and can be normalized when associated with the item master management table 112. In the item at the point of sale, for example, information on the date and time when the item of the item ID is sold is registered. The control unit 10 of the computer 1 can calculate the sales interval to be described later by obtaining the difference between two sales points sequentially sold for the same product ID. For example, the selling price of the product of the product ID at the point of sale is registered in the item of selling price. For example, the number of items sold at the point of sale is registered in the item of the number of items sold. For example, the number of items in stock at the point of sale is registered in the item of the number of items. By the data registered in each item of the sales history table 113, the control unit 10 of the computer 1 can manage history information regarding the sales results of each product. Further, the present inventory number may be calculated by subtracting the integrated value of the sales number up to the present time from the delivery number of the article master management table 112.

  FIG. 6 is an illustration showing an example of the revised selling price history table 114. Includes items related to revised selling price management number, product ID, selling price, revised category, rate of change, revised selling price, and revised time point. The item of the revised selling price management number is, for example, a sequential number incremented each time the revised selling price is determined, and an ID for uniquely identifying the result of the decision of each revised selling price is registered, and is used as a primary key in this table. Function. The determination of the revised selling price is performed by the control unit 10 of the computer 1. Details of the process related to the determination of the revised selling price by the control unit 10 of the computer 1 will be described later. In the item of the item ID, for example, the item ID of the item is registered, and can be normalized when associated with the item master management table 112. For example, the selling price of the product of the product ID at the time of determining the revised selling price is registered in the item of selling price. In the item of the revision category, for example, a category related to whether the determined revised selling price increases, decreases or is maintained with respect to the selling price is registered. In the item of change rate, for example, to determine the revised selling price, the multiplying rate to the selling price is indicated, and the rate of change in the revised selling price to the relevant selling price is registered in association with the increase or decrease of the revision category. Ru. For example, the revised selling price amount is registered in the revised selling price item.

  As shown in FIG. 6, when the revision category is an increase of 4% with respect to the selling price of 5,000 yen, the revised selling price is 5,200 obtained by multiplying 5,000 yen by 1.04. In addition, if the revised category is a 4% decrease compared to the selling price of 5,000 yen, the revised selling price will be 4800 yen, which is 5000 yen multiplied by 0.96. Needless to say, if the revision category is maintained, the change rate will be 0%, and the selling price and the revised selling price will be the same. The item at the time of revision contains information on the date and time when the revised selling price was determined. The data registered in the revised selling price history table 114 allow the control unit 10 of the computer 1 to manage the history information on the determination of the revised selling price of each product.

  FIG. 7 is an explanatory view showing an example (sales price is high) of sales intervals of goods. FIG. 8 is an explanatory view showing an example (sales price is low) of sales intervals of goods. The control unit 10 of the computer 1 obtains the information on the sale of the product acquired from the sale server 2, adds it to the sale history table 113 and registers it. The control unit 10 determines the revised selling price based on the information on the sale of the registered product. As shown in FIG. 7, the product (product ID = S-001) is sold eight times from the point of sale start. However, the above-described table configuration is an example, and is not limited to these table configurations, and can be any table configuration that can ensure the relevance of each information.

  The control unit 10 is configured to calculate the sales intervals from two sales points sequentially sold based on the latest three sales results from the present time. As described above, the point of sale for each item is registered in the sales history table 113. Therefore, the control unit 10 can calculate the sales interval from the two sales points sequentially sold based on the sales history of the predetermined product.

  The control unit 10 is configured to calculate the sales intervals from the two sales points sequentially sold based on the results of the five sales prior to the latest three sales from the present time. The control unit 10 compares the sales interval calculated based on the results of the last three sales with the sales interval calculated based on the results of the previous five sales, so that the revised selling price is the latest selling price from the present time. It is determined whether to make the selling price higher or lower than the selling price.

  As shown in FIG. 7, the two sales intervals calculated based on the results of the last three sales are, for example, both 0.5 days. On the other hand, the average value of the five sales intervals calculated from the past sales of the last 5 sales and the most recent sales of the last 3 sales is, for example, 1.6 days, and the standard deviation is 0.8. is there. The control unit 10 derives 2.4, which is a value obtained by adding the average value (1.6) and the standard deviation (0.8), as a predetermined value, and the two most recent calculated sales intervals are derived. If it is below the predetermined value, the revised selling price higher than the selling price is determined. The revised selling price higher than the selling price is, for example, the selling price (5000 × 1.04) obtained by multiplying the selling price by the increase rate of 4%. If the calculated last two sales intervals are both larger than the derived predetermined value, the control unit 10 determines a revised selling price lower than the selling price. The revised selling price lower than the selling price is, for example, the selling price (5000 × 0.96) obtained by multiplying the selling price by the reduction rate of 4%. In addition, although the latest sales interval was calculated based on the results of the last three sales, it is not limited to this, and the latest sales time is calculated by the results of the two sales or the results of the three or more sales. May be Also, in order to derive the predetermined value, the previous sales interval is calculated based on the results of the previous five sales before the latest three, but is not limited to this, and may be more or less than five It is also good. In the past sales results used to derive the predetermined value, values that are abnormally long sales intervals may be excluded. For example, in the past sales results, a sales interval of 25% from the top, which is the longest interval, may be excluded as an abnormal value when deriving a predetermined value.

  In deriving the predetermined value, the average value and the standard deviation of a plurality of sales intervals are calculated, and the standard deviation is added to the average value. However, the present invention is not limited thereto. Various calculations such as setting the average value to the predetermined value The predetermined value may be derived by an equation. Alternatively, the control unit 10 may have an artificial intelligence function, make the artificial intelligence learn information on sales history, and derive a predetermined value by the artificial intelligence function. An appropriate selling price can be set based on the current sales situation of the product by comparing the latest sales performance at the current time with a predetermined value derived from the sales interval based on the previous sales performance.

  As shown in FIG. 8, the product (product ID = S-002) is sold six times from the point of sale start. And two days have passed from the time of the last sale to the present time. The control unit 10 calculates, for example, the average value of the five sales intervals calculated based on the results of six sales from the point of sale last, for example, 1.0 day, and the standard deviation is 0.0. The control unit 10 derives 1.0, which is a value obtained by adding the average value (1.0) and the standard deviation (0.0), as a predetermined value, and the elapsed time from the point of last sale to the present time If the specified value is more than doubled, the revised selling price lower than the selling price is determined. The revised selling price lower than the selling price is, for example, the selling price (5000 × 0.96) obtained by multiplying the selling price by the reduction rate of 4%. By comparing the time elapsed from the last point of sale to the present time with a predetermined value derived from the sales intervals based on past sales results, it is possible to set an appropriate selling price based on the current sales situation of the product. .

  FIG. 9 is a flowchart illustrating the processing procedure according to the first embodiment. The control unit 10 of the computer 1 regularly executes the following processing. The control unit 10 acquires information on sales such as the point of sale of the product, the selling price, and the stock transmitted from the sales server 2 (S11), and stores the information in the storage unit 11. The control unit 10 determines whether the point of sale and the selling price have been acquired a predetermined number of times or more (S12). The predetermined number of times is the number of times necessary to calculate the sales interval described later, and is, for example, eight times. When the number of times is smaller than the predetermined number (S12: NO), the control unit 10 performs the loop process of returning to S11 again.

  When the number of times is equal to or more than the predetermined number (S12: YES), the control unit 10 calculates the latest sales interval (S13). The control unit 10 calculates the nearest selling interval based on the most recent selling point to the last two selling points, that is, three selling points. The control unit 10 refers to the sales history table 113 stored in the storage unit 11 and reads the latest point of sale of the target product based on the current time. The control unit 10 similarly reads the point of sale sold immediately before the read point of sale, and the point of sale two sales earlier.

  Since the information (record) including the point of sale of each product is registered in the sales history table 113, the control unit 10 reads necessary information such as the point of sale by referring to the sales history table 113. Can. The control unit 10 performs processing such as referring to the sales history table 113 by using a database function such as RDBMS (relational database management system) installed in the computer 1.

  The control unit 10 calculates the sales interval by obtaining the difference between the two sales points that are sequentially read. The control unit 10 calculates two latest sales intervals based on the three sales points.

  The control unit 10 calculates the previous sales interval based on the five sales point intervals prior to the three sales points (S14). The control unit 10 calculates five previous sales intervals according to the five sales point intervals and the most recent point of sale among the three sales points. The reference etc. of the sales history table 113 at the time of calculating the sales interval is the same processing as the processing of S13.

  The control unit 10 derives a predetermined value based on the calculated five previous sales intervals (S15). The predetermined value is derived, for example, by calculating the average and standard deviation of five previous sales intervals and adding the standard deviation to the average. However, the present invention is not limited to this, and an average value of five previous sales intervals may be set as the predetermined value. The suitability of the predetermined value can be improved by increasing the number of points of sale used to calculate the previous sales interval more than the number of points of sale used to calculate the most recent sales interval.

  The control unit 10 determines whether each of the two latest sales intervals is less than or equal to a predetermined value (S16). If it is equal to or less than the predetermined value (S16: YES), the control unit 10 determines a selling price higher than the selling price at the latest selling point as the revised selling price (S17). The control unit 10 reads the selling price at the latest point of sale by referring to the sales history table 113. The selling price higher than the selling price at the latest selling point may be, for example, the selling price obtained by multiplying the selling price at the latest selling point by an increase rate of 4%, or a predetermined additional amount determined beforehand such as 100 yen. It is decided by doing.

  If not below the predetermined value, that is, greater than the predetermined value (S16: NO), the selling price lower than the selling price at the latest selling point is determined as the revised selling price (S161). The selling price lower than the selling price at the latest selling point is, for example, the selling price obtained by multiplying the selling price at the latest selling point by a 4% reduction rate, or subtracting a predetermined discounted price such as 100 yen. It is decided by doing.

  The control unit 10 outputs the determined revised selling price (S18). The revised selling price determined and output by the control unit 10 is transmitted from the communication unit 15 to the sales server 2 via the external network 4. The sales server 2 acquires the revised selling price transmitted from the computer 1 and applies the revised selling price as the selling price in the next sale of the product.

Second Embodiment
FIG. 10 is a flowchart of the processing procedure according to the second embodiment. FIG. 11 is an explanatory diagram of an example of the change rate of the revised selling price according to the second embodiment. The information processing method according to the second embodiment is different from that according to the first embodiment in that the control unit 10 relates to the process of determining the revised selling price.

  The processes of S21 to S26 are the same as the processes of S11 to S16 of the first embodiment, and thus the description thereof is omitted. If it is equal to or less than the predetermined value (S26: YES), the control unit 10 derives a change rate for determining a revised selling price higher than the selling price at the latest point of sale (S27). The control unit 10 refers to the revised selling price history table 114 and reads out, for the product for which the revised selling price is to be determined, the revision category when the previous revised selling price of the product is determined. As shown in FIG. 6, the information on the determination of the revised selling price is included in the revised selling price history table 114 for each product (for each product ID), including the information at the time when the revised selling price was determined (at revised time). .

  The control unit 10 reads out the previous revision category, and if the previous revision category is an increase, the change rate for determining the current sale price, that is, the increase rate is the increase rate at which the previous revision sale price was determined (for example, A value larger than 4%) (for example, 5%). If the previous revision category is a decrease, the control unit 10 determines that the rate of change for determining the current revision selling price, that is, the rate of increase, is smaller than the rate of decline (for example, 4%) at which the previous revision selling price was determined. A value (for example, 3%).

  As shown in FIG. 11, the change rate for determining the revised selling price is properly derived by including the information (revision category) at the time of determining the previous revised selling price in the information for determining the current revised selling price. can do. That is, the control unit 10 derives a change rate for determining the current revised selling price based on the combination of the current revised category and the previous revised category. The information at the time of determining the previous revised selling price is included, but it is not limited to this and determines multiple revised selling prices including the time of deciding the previous revised selling price and the time of deciding the previous revised selling price. The rate of change may be derived by including information at the time of failure. The revised selling price is determined based on a plurality of points of sale as described above. Therefore, the rate of change is not limited to one derived based on the combination of the current revision category and the previous revision category, but may be derived based on multiple points of sale.

  The control unit 10 multiplies the selling price at the latest point of sale by the change rate determined at S27, that is, the increasing rate, and determines a revised selling price higher than the selling price at the latest selling point (S28).

  If it is not equal to or less than the predetermined value (S26: NO), the control unit 10 derives a change rate for determining a revised selling price lower than the selling price at the latest point of sale (S261). The control unit 10 refers to the revised selling price history table 114 and reads out, for the product for which the revised selling price is to be determined, the revision category when the previous revised selling price of the product is determined. As shown in FIG. 6, the information on the determination of the revised selling price is included in the revised selling price history table 114 for each product (for each product ID), including the information at the time when the revised selling price was determined (at revised time). . The control unit 10 reads out the previous revision category, and if the previous revision category is an increase, the rate of change for determining the current sale price, that is, the rate of decrease, is the increase rate at which the previous revision sale price was determined (for example, A smaller value (eg, 3%) than 4%). If the previous revision category is a decrease, the control unit 10 determines that the rate of change for determining the current revision selling price, that is, the rate of decline is larger than the rate of decline (for example, 4%) that determined the previous revision selling price. A value (for example, 5%).

  The control unit 10 multiplies the selling price at the latest point of sale by the change rate determined at S261, that is, the decreasing rate, and determines a revised selling price lower than the selling price at the latest selling point (S262). The control unit 10 outputs the revised selling price determined in the same manner as S18 (S29), and the output revised selling price is transmitted to the sales server 2.

(Embodiment 3)
FIG. 12 is an explanatory diagram of the information processing system according to the third embodiment. FIG. 13 is a flowchart of the processing procedure according to the third embodiment. FIG. 14 is an explanatory diagram of an example of the determination of the revised selling price according to the third embodiment. The information processing method according to the third embodiment is different from that according to the first embodiment in that the control unit 10 communicates with the plurality of sales servers 2 and determines the revised sales price.

  The information processing system according to the third embodiment is configured by a computer 1 and a plurality of sales servers 2 communicably connected to each other by an external network 4 such as the Internet. The computer 1 acquires from the sales server 2 information on the sale of the product such as the sale price of the product, the number of stocks, the point of sale, the number of products sold, etc. Remember.

  The processes of S31 to S36 are the same as the processes of S11 to S16 of the first embodiment, and thus the description thereof is omitted. If it is equal to or less than the predetermined value (S36: YES), the control unit 10 refers to the sales history information of the other sales server 2 in order to determine the revised selling price higher than the selling price at the latest selling time (S37). The other sales server 2 is a sales server 2 other than the sales server 2 in which the product for which the revised sales price is to be determined is sold.

  The same goods may be sold by a plurality of sales servers 2. Even in this case, as shown in FIG. 4, in the product master management table 112, the product ID for uniquely specifying the product is assigned based on the combination of the product name and the sales server 2 (server ID). is there. Therefore, if the sales server 2 is different even if it is the same product, it is managed as a different product (product ID). By searching the product master management table 112 with the product name, it is possible to refer to which sales server 2 the product is sold. The record of each item includes an item of item category. As the product category, items indicating the category of the product such as the type and characteristics of the product are registered. Therefore, by searching the product master management table 112 by product category, it is possible to extract a product group such as the same type or similar.

  The control unit 10 refers to the product for which the revised selling price is to be determined and the sales history of another sales server 2 that sells the same product. Sales histories of all products, including sales histories of other sales servers 2, are registered in the sales history table 113. Therefore, the control unit 10 refers to the product master management table 112 and the sale history table 113 to compare the sale history of another sale server 2 selling the same product as the product for which the revised sale price is to be determined. You can refer to it. In addition, the control unit 10 may refer to the sales history of the other sales server 2 that is selling the same kind of goods based on the goods category of the goods for which the revised selling price is to be determined. The control unit 10 refers to the latest revision category of the product in the other sales server 2 as the sales history of the other sales server 2. The revision category is registered in the revision selling price history table 114. Alternatively, based on the sales history of the sales history table 113, the control unit 10 may derive the control program 11P.

  The control unit 10 determines a revised selling price higher than the selling price at the latest point of sale based on the latest revision classification of the product or the product of the same type as the product in the other sales server 2 (S38). As shown in FIG. 14, if the revision category in the other sales server 2 is a decrease, the rate of increase for determining the revised selling price higher than the latest selling price is lowered below a predetermined value, and the revised selling price is reduced. decide. If the revision category in the other sales server 2 is an increase, the rate of increase for determining the revised selling price higher than the selling price at the latest selling point is improved from a predetermined value to determine the revised selling price. Therefore, in order to determine the revised selling price higher than the latest selling price, the revised selling price is made to be a different selling price according to the revision category of the other sales server 2. That is, the revised selling price when the revision category of the other sales server is increased is set to a higher selling price than the revised selling price when the revised category of the other sales server is decreased.

  If it is not equal to or less than the predetermined value (S36: NO), the control unit 10 refers to sales history information of the other sales server 2 in order to determine a revised sale price lower than the sale price at the latest sale time (S361). The control unit 10 refers to the sales history information of the other sales server 2, that is, the revision classification, as in the process of S37. The control unit 10 determines a revised selling price lower than the selling price at the latest point of sale based on the latest revision classification of the product or the product of the same type as the product in the other sales server 2 (S362). As shown in FIG. 14, when the revision category in the other sales server 2 is a decrease, the reduction rate for determining the revised sale price lower than the latest sale price is improved from a predetermined value, and the revised sale price is reduced. decide. If the revision category in the other sales server 2 is an increase, the reduction rate for determining the revised selling price lower than the selling price at the latest selling point is lowered below a predetermined value to determine the revised selling price. Therefore, in determining the revised selling price lower than the selling price at the latest point of sale, the revised selling price is made to be a different selling price according to the revision category of the other sales server 2. That is, the revised selling price when the revision category of the other sales server is increased is set to a higher selling price than the revised selling price when the revised category of the other sales server is decreased. The combination of the current revision classification and the revision classification of the other sales server shown in FIG. 14 is stored in the storage unit as a table or the like. Alternatively, the combination of the current revision category and the revision category of the other sales server is described in the control program 11P, and the control unit 10 executes the control program 11P to change the rate of change in the revised selling price based on the combination. May be derived. The combination may be determined arbitrarily according to the type of product and the like.

  By including information on the sales history of a product on another sales server 2 in the information for determining the revised sales price, it is possible to determine an appropriate revised sales price reflecting the sales trend of the product in the entire market. The control unit 10 outputs the revised selling price determined in the same manner as S18 (S39), and the output revised selling price is transmitted to the sales server 2.

(Embodiment 4)
FIG. 15 is a flowchart illustrating the processing procedure according to the fourth embodiment. The information processing method of the fourth embodiment is different from that of the first embodiment in that the control unit 10 relates to processing for reducing the revised selling price from the current selling price.

  Since the processes from S41 to S42 are the same as the processes from S11 to S12 of the first embodiment, the description will be omitted. The control unit 10 calculates the nearest sales interval based on the most recent sales point to the last five sales points, that is, six sales points (S43). Based on the six points of sale, the control unit 10 calculates the five most recent sales intervals.

  The control unit 10 derives a predetermined value based on the calculated five latest sales intervals (S44). The predetermined value is derived by calculating the average value and standard deviation of the five most recent sales intervals and adding the standard deviation to the average value. However, the present invention is not limited to this, and an average value of five latest sales intervals may be set as the predetermined value.

  The control unit 10 calculates an elapsed time from the latest point of sale, that is, the point of last sale to the present time (S45). The control unit 10 determines whether the calculated elapsed time is equal to or greater than the predetermined value derived in S44 (S46). If it is not the predetermined value or more (S46: NO), that is, if it is shorter than the predetermined value, the control unit 10 performs the loop process of returning to S41 again.

  If it is equal to or greater than the predetermined value (S46: YES), the control unit 10 determines a revised selling price lower than the selling price at the latest point of sale (S47). If the value is equal to or more than the predetermined value, it means that the unsold, that is, the unsold state continues from the latest point of sale to the present time. Therefore, sales can be promoted by determining a revised selling price lower than the selling price at the latest selling point. The control unit 10 outputs the revised selling price determined in the same manner as S18 (S48), and the output revised selling price is transmitted to the sales server 2.

Embodiment 5
FIG. 16 is a flowchart of the processing procedure according to the fifth embodiment. FIG. 17 is an explanatory diagram of an example of the determination of the revised selling price according to the fifth embodiment. The information processing method of the fifth embodiment is different from that of the first embodiment in that the control unit 10 further determines a revised selling price based on stock information of a product.

  The processes of S51 to S56 are the same as the processes of S11 to S16 of the first embodiment, and thus the description thereof is omitted. If it is equal to or less than the predetermined value (S56: YES), the control unit 10 acquires inventory information in order to determine a revised selling price higher than the selling price at the latest point of sale (S57). The control unit 10 subtracts the integrated value of the number of sales of the product registered in the sales history table 113 from the number of delivery of the product registered in the product master management table 112 to obtain inventory information (the number of stocks). get. Alternatively, the control unit 10 may acquire inventory information from the sales server 2.

  The control unit 10 determines a revised selling price higher than the selling price at the latest point of sale based on the stock information (S58). As shown in FIG. 17, when the current inventory number is less than or equal to the predetermined inventory threshold value, the rate of increase for determining the revised selling price higher than the selling price at the latest point of sale is improved from a predetermined value, decide. If the current inventory number is greater than the predetermined inventory threshold, the rate of increase for determining the revised selling price higher than the selling price at the latest point of sale is reduced below a predetermined value to determine the revised selling price. Therefore, in order to determine the revised selling price higher than the selling price at the latest point of sale, the revised selling price is made to be a different selling price depending on the current number of stocks. That is, the revised selling price when the inventory quantity is less than or equal to the predetermined inventory threshold is set to a selling price higher than the revised selling price when the inventory quantity is larger than the predetermined inventory threshold. The predetermined inventory threshold may be, for example, 10% of the number of deliveries at the start of sales. The predetermined inventory threshold can be arbitrarily determined according to the product characteristics and the like.

  If there is more than the predetermined value (S56: NO), the control unit 10 acquires inventory information in order to determine a revised selling price lower than the selling price at the latest point of sale (S561). The control unit acquires inventory information as in the process of S58.

  The control unit 10 determines a revised selling price lower than the selling price at the latest point of sale based on the stock information (S562). As shown in FIG. 18, when the current inventory number is less than or equal to the predetermined inventory threshold value, the reduction rate for determining the revised selling price lower than the selling price at the latest point of sale is lowered below a predetermined value, decide. If the current inventory number is greater than the predetermined inventory threshold, the reduction rate for determining the revised selling price lower than the selling price at the latest point of sale is improved above a predetermined value to determine the revised selling price. Therefore, in order to determine the revised selling price lower than the selling price at the latest point of sale, the revised selling price is made to be a different selling price depending on the current number of stocks. That is, the revised selling price when the inventory quantity is less than or equal to the predetermined inventory threshold is set to a selling price higher than the revised selling price when the inventory quantity is larger than the predetermined inventory threshold. The combination of the current revision classification and the current stock quantity shown in FIG. 17 is stored in the storage unit as a table or the like. Alternatively, the combination of the current revision category and the current inventory quantity is described in the control program 11P, and the control unit 10 executes the control program 11P to derive the rate of change in the revised selling price based on the combination. You may The combination may be determined arbitrarily according to the type of product and the like.

  By including inventory information in the information for determining the revised selling price, it is possible to determine an appropriate revised selling price reflecting the scarcity value of the product according to the current inventory number. The control unit 10 outputs the revised selling price determined in the same manner as S18 (S59), and the output revised selling price is transmitted to the sales server 2.

Embodiment 6
FIG. 18 is a flowchart of the processing procedure according to the sixth embodiment. The processes of S61 to S66 are the same as the processes of S11 to S16 of the first embodiment, and thus the description thereof will be omitted. If it is equal to or more than the predetermined value (S66: YES), the control unit 10 derives the rate of change of the revised selling price so as to maximize the profit. The control unit 10 derives a plurality of candidates for the rate of change of the revised selling price in determining a high revised selling price. The plurality of revised selling prices are derived based on the derived rates of change of the plurality of candidates. The control unit 10 predicts the number of sales at each revised selling price, and derives an expected profit based on the predicted number of sales (S67). The control unit 10 derives a plurality of candidates for the change rate of the revised sale price, and predicts the number of sales based on each revised sale price, using artificial intelligence as information on past sales results as an input factor. The control unit 10 derives the assumed profit based on expenses related to the sale of the product such as the purchase cost of the product to be sold. The control unit 10 determines the revised selling price, which is the most profitable, as the revised selling price to be output to the sales server 2 (S68).

  When it is below the predetermined value (S66: NO), the control unit 10 derives the change rate of the revised selling price so as to maximize the profit. The control unit 10 derives a plurality of candidates for the change rate of the revised selling price in determining the low revised selling price. The plurality of revised selling prices are derived based on the derived rates of change of the plurality of candidates. The control unit 10 predicts the number of sales at each revised selling price, and derives an expected profit based on the predicted number of sales (S661). The control unit 10 derives a plurality of candidates for the change rate of the revised sale price, and predicts the number of sales based on each revised sale price, using artificial intelligence as information on past sales results as an input factor. The control unit 10 derives the assumed profit based on expenses related to the sale of the product such as the purchase cost of the product to be sold. The control unit 10 determines the revised selling price, which is the most profitable, as the revised selling price to be output to the sales server 2 (S662).

  The control unit 10 outputs the revised selling price determined in the same manner as S18 (S69), and the output revised selling price is transmitted to the sales server 2.

Seventh Embodiment
FIG. 19 is an illustration showing an example of a report according to the seventh embodiment. In the first to sixth embodiments, the determined revised sales price is output to the sales server 2, but in the seventh embodiment, the control unit 10 determines or outputs the revised sales price to the sales server 2 together with or instead of the output. It differs in that a report including the revised selling price is created and transmitted to the operator of the sales server 2 or the like.

  As shown in FIG. 19, the control unit 10 creates a report including the determined revised selling price, the past sales results used in determining the revised selling price, and the basis of the determination. The report includes information for specifying a target product such as a product ID and a product name. The report includes the revision category, the current selling price and the revised selling price as information on the selling price of the product. A function button for executing processing to the sales server 2 is attached to the report. The control unit 10 transmits the created report to, for example, an operator (administrator) of the sales server 2 registered in advance by e-mail. For example, the address of the e-mail may be included in the sales server management table 111 and registered. The means of sending the report is not limited to sending an email. Even if the control unit 10 uploads the created report to a predetermined web server (not shown) and sends the operator of the sales server 2 by e-mail a contact for promoting reference to the web server. Good. The operator of the sales server 2 can grasp the revised selling price and related information by referring to the transmitted report, and based on the information, judge whether the selling price of the product on the sales server 2 is appropriate or not. can do. The operator of the sales server 2 can apply the revised selling price to the sales server 2 by pressing the function button added to the report.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is indicated not by the meaning described above but by the claims, and is intended to include all modifications within the meaning and scope equivalent to the claims.

Reference Signs List 1 computer 10 control unit 11 storage unit 11P control program 111 sales server management table 112 product master management table 113 sales history table 114 revised sale price history table 12 RAM (temporary storage unit)
13 input unit 14 display unit 15 communication unit 16 clock unit 17 internal bus 2 sales server (information processing apparatus)
3 Buyer Terminal 3U Buyer 4 External Network 5 Report

Claims (10)

Obtain the point of sale and selling price of the product from an information processing device that holds information on the sale of the product,
The sales interval at the point of sale is calculated based on the plurality of points of sale acquired,
Based on the calculated sales interval, determine a revised selling price that revised the selling price at the point of sale,
An information processing method for causing a computer to execute a process of outputting the determined revised sales price to the information processing apparatus. If the calculated sales interval is equal to or less than a predetermined value, a revised selling price higher than the selling price at the point of sale is determined;
The information processing method according to claim 1, wherein the computer is caused to execute a process of outputting the determined revised sales price to the information processing apparatus. If the calculated sales interval is greater than a predetermined value, a revised selling price lower than the selling price at the point of sale is determined.
The information processing method according to claim 1, wherein the computer is caused to execute a process of outputting the determined revised sales price to the information processing apparatus. The information processing method according to claim 2 or 3, wherein the computer is caused to execute a process of deriving the predetermined value based on a sales interval prior to the point of sale rather than the plurality of points of sale. The computer-implemented method according to any one of claims 2 to 4, causing the computer to execute the processing of deriving the predetermined value based on the average value or standard deviation of sales intervals prior to the point of sale rather than the plurality of points of sale. Information processing method described. Obtaining stock information on stock of the product from the information processing apparatus;
The information processing method according to any one of claims 1 to 5, causing a computer to execute the process of determining the revised sale price based on the acquired inventory information and the sales interval. Storing the sales history information in which the revised selling price, the revised selling price is determined, the selling price and the point of sale are associated with the product;
Based on the stored sales history information, a change rate of the revised selling price to the selling price is derived;
The information processing method according to any one of claims 1 to 6, causing a computer to execute a process of determining the revised sale price based on the derived change rate. There are at least two or more information processing devices,
When the revised selling price, the revised selling price are determined, the selling price and the point of sale are stored as sales history information relating to the product and the information processing apparatus that has sold the product.
When a revised selling price of a product sold in one information processing apparatus is determined, the revised selling price is determined based on sales history information of the product and sales history information of a product sold in another information processing apparatus. The information processing method according to any one of claims 1 to 7, causing the computer to execute the processing to be determined. Create a report that contains information about the determined revised selling price,
The information processing method according to any one of claims 1 to 8, causing a computer to execute the process of transmitting the created report. On the computer
Obtain the point of sale and selling price of the product from an information processing device that holds information on the sale of the product,
The sales interval at the point of sale is calculated based on the plurality of points of sale acquired,
Based on the calculated sales interval, determine a revised selling price that revised the selling price at the point of sale,
A program for executing a process of outputting the determined revised selling price to the information processing apparatus.

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