JP5418326B2 - Price determining apparatus, price determining method, and computer program - Google Patents

Description

  The present invention relates to an apparatus and a method for determining the price of a commodity.

  In recent years, so-called catalog shopping has become widespread. According to catalog shopping, catalogs describing various products are distributed to consumers. When a consumer finds a desired product in the catalog, the consumer can order and purchase the product by accessing the merchant's website or calling the merchant.

  Catalogs often have expiration dates. Items that are not sold after the expiration date may be sold at a discount. This is because it is more profitable to sell the product at a discount than to discard the unsold product. In particular, it is often preferable to sell off products that have a limited expiry date, such as food products, or products that are fashionable.

  However, there are many products in the catalog. If the processing of discounting is relied on by hand, labor costs increase and mistakes are likely to occur.

  In view of this, several methods have been proposed for performing product discount processing using a computer or the like.

  For example, it has been proposed to perform the following processing by a computer. First, a discount sale target product is extracted from the catalog expiration stock information. Next, a discount rate or a discount price is set based on the stock quantity of the discount sale target product and the conditions of the discount sale period, and this is presented online. Thereafter, the discount rate or discount price resetting process in step S2 is repeated for each predetermined setting period, and the product information based on the reset discount rate is repeatedly presented. When the stock runs out or when the sales are not continued, the expired stock sales are terminated. Note that the discount rate differs depending on whether or not the stock quantity of the product exceeds the stock quantity reference value (the value that the stock quantity is too large if this value is exceeded). That is, it depends on the stock quantity reference value. The stock quantity reference value needs to be set in advance for each product (Patent Document 1).

  In addition, it has been proposed to perform the following processing by a computer. The exhibited product is received in a virtual product shelf where a plurality of products can be exhibited. The product information of the exhibited products displayed on the product shelf is provided to the client via the network. We want to purchase the products in the product shelf by updating the price provided to the client by sequentially discounting the products in one product shelf at a set time t, with a set discount rate of α at the set time t until the set deadline T. Is received from the client via the network (Patent Document 2).

JP 2002-24586 A JP 2002-157480 A

  However, according to the method described in Patent Document 1, it is necessary to set the stock amount reference value for each product as described above. Therefore, if there are a lot of products to be handled, it takes time for setting by the operator, which increases labor costs and easily causes mistakes.

  Moreover, according to the method as described in Patent Document 2, all products are discounted uniformly. Therefore, there is a case where a certain product is discounted more than necessary, or another product is not discounted and the stock is hardly reduced.

  In view of such problems, the present invention has an object to determine the price of unsold products so that even if a large number of products are handled, more profits can be easily obtained. .

  A price determination apparatus according to an aspect of the present invention is a price determination apparatus that determines a price of a product to be sold to a customer during a predetermined period, wherein the kth of the divided periods obtained by dividing the predetermined period into n pieces Each time a division period (1 ≦ k <n) is passed, the sales performance from the first division period to the k-th division period of the product is checked against the sales target of the product. A target achievement determining means for determining whether or not the sales target of the product is achieved, and, when it is determined that the target is not achieved, the sales performance of the product before the kth division period, , Based on the current price that is the price in the k-th split period of the product, the sales forecast results until the expiration of the n-th period when sales are continued at the current price, and the calculated Checking the predicted performance against the target Thus, when sales are continued at the sales price, target achievement prediction means for predicting whether or not the target can be achieved, and when it is predicted that the target will not be achieved, and a next divided period price determining means for determining a price for the next divided period, which is a price in the (k + 1) th divided period, to a price lower than the current price.

  Preferably, the predetermined period is a period of sale of the product by a first catalog, and the next divided period price determining means sets the next divided period price to a time before the time when the catalog is applied. The determination is made based on the sales performance of the product in the period corresponding to the (k + 1) -th divided period by the applied second catalog.

  A price determination device according to another aspect of the present invention is a price determination device that determines the price of each of a first product and a second product to be sold to a customer during a predetermined period, wherein the predetermined period is defined as n. Each time the k-th division period (1 ≦ k <n) of the division periods divided into pieces passes, the actual number of sales from the first division period of the first product to the k-th division period Based on the first target achievement determining means for determining whether or not the first target, which is the target of the number of sales of the first product, has been achieved, and every time the kth division period has passed And the first product and the second product based on the gross profit or the sales results from the first division period to the k-th division period of each of the first product and the second product. The second is the combined gross profit or sales target A second goal achievement judging means for judging whether or not the target has been achieved; and when it is determined that the first goal has not been achieved, the k-th divided period of the first product Based on the actual number of previous sales, even if sales continue at the first current price, which is the price of the first product in the k-th split period, the first A first goal achievement prediction means for predicting whether or not the second goal can be achieved, and the first product and the second product when it is determined that the second goal is not achieved. Continue to sell the first product at the first current price and based on the gross profit or sales performance of each of the products before the k-th split period and the k-th product of the second product The second quotient at the second current price, which is the price in the split period. The second goal achievement prediction means for predicting whether or not the second goal can be achieved by the expiration of the nth period even if the sale of the product is continued, and the first goal is achieved. If it is predicted that the second next-period price will be lower than the first current price, and if the second target is predicted not to be achieved, And a next divided period price determining means for determining a second next divided period price which is a price in the (k + 1) th divided period of the commodity to a price lower than the second current price.

  According to the present invention, it is possible to determine the price of unsold products so that even if a large number of products are handled, it is possible to easily obtain more profits.

It is a figure which shows the example of the whole structure of a catalog shopping system. It is a figure which shows the example of the hardware constitutions of a selling price management server. It is a figure which shows the example of a functional structure of a sales price management server. It is a figure which shows the example of a functional structure of a shopping server. It is a figure which shows the example of a goods master memory | storage part and goods data. It is a flowchart for demonstrating the example of the flow of a price reduction process. It is a figure which shows the example of a price-down sales history memory | storage part and sales forecast actual data. It is a figure which shows the example of a price-down sales history memory | storage part and sales forecast actual data. It is a figure which shows the example of a price-down sales history memory | storage part and sales forecast actual data. It is a figure which shows the example of a price-down sales history memory | storage part and sales forecast actual data. It is a flowchart for demonstrating the example of the whole process flow of a sales price management server. It is a flowchart explaining the modification of the flow of a price reduction process. It is a figure which shows the example of a price-down sales history memory | storage part and sales forecast actual data. It is a figure which shows the example of a price-down sales history memory | storage part and sales forecast actual data.

  1 is a diagram illustrating an example of the overall configuration of the catalog shopping system 1, FIG. 2 is a diagram illustrating an example of a hardware configuration of the selling price management server 2, and FIG. 3 is an example of a functional configuration of the selling price management server 2. FIG. 4 and FIG. 4 are diagrams illustrating an example of a functional configuration of the shopping server 3.

  The catalog shopping system 1 in FIG. 1 is operated by a company that provides a so-called catalog shopping service to customers.

  The merchant regularly distributes catalogs listing products to be sold to customers. As a means for distribution, e-mail, courier, mail or the like is used. A catalog is also disclosed on the Web site of the vendor. Hereinafter, a case where the trader A issues the catalog B and sells various products will be described as an example.

  Catalog B has an expiration date. In principle, the customer cannot order a product that is listed in the catalog B after the expiration date. However, the product designated by the trader A can be ordered only for a specific period after the expiration date. Hereinafter, the specific period after the expiration date is simply referred to as “specific period”. In addition, such a product sold by the trader A during a specific period may be described as a “specific product”. The trader A sells the specific product at a reduced price.

  In addition, the products are classified into three groups: a large group, a medium group, and a small group. For example, a product called “summer men's tie” is classified into a large group called “men's clothing”. Furthermore, this product is classified into a medium group called “small items” in this large group. Furthermore, this product is classified into a small group called “tie” in the medium group.

  The catalog shopping system 1 plays the following role. The catalog shopping system 1 provides a website of a trader A. In this website, catalog B is disclosed as described above, and a web page for online shopping is also disclosed. Customers can access this web page and order goods.

  Furthermore, the catalog shopping system 1 transmits an advertisement for a specific product to a customer by electronic mail. Moreover, the catalog shopping system 1 sets the price at which the specific product is reduced so that the sales target of the specific product can be achieved as much as possible.

  As shown in FIG. 1, the catalog shopping system 1 includes a selling price management server 2, a shopping server 3, a terminal device 4, a communication line 5, and the like.

  The selling price management server 2, the shopping server 3, and the terminal device 4 can be connected to each other via a communication line 5. As the communication line 5, a so-called Local Area Network (LAN) line, a dedicated line, the Internet, or the like is used.

  As shown in FIG. 2, the selling price management server 2 includes a central processing unit (CPU) 20a, a random access memory (RAM) 20b, a read only memory (ROM) 20c, a hard disk 20d, a graphic board 20e, and a universal serial bus (USB). In addition to the interface 20f and the network interface card (NIC) 20g, various circuits are provided.

  A display is connected to the graphic board 20e. The graphic board 20e displays an image on the display by outputting an image signal to the display.

  A keyboard and a mouse are connected to the USB interface 20f. The employee of the trader A can input information and commands to the selling price management server 2 by operating the keyboard or mouse. The employee of the trader A can also remotely input information and commands to the selling price management server 2 by operating the terminal device 4. As the terminal device 4, a personal computer or a workstation is used.

  The NIC 20g is a device for communicating with the terminal device 4 and the shopping server 3 using a protocol such as Transmission Control Protocol / Internet Protocol (TCP / IP).

  In the ROM 20c or the hard disk 20d, the sales performance data acquisition unit 201, the target completion determination unit 202, the sales end instruction unit 203, the target achievement determination unit 204, the lower price determination unit 205, and the lower price notification unit 206 shown in FIG. A program and data for realizing functions such as the product master storage unit 211 and the discount sales history storage unit 212 are stored. These programs and data are loaded into the RAM 20b as necessary, and the programs are executed by the CPU 20a.

  With such a configuration, the selling price management server 2 can automatically determine the price of the specific product after the expiration date of the catalog B has passed. This mechanism will be described later.

  The shopping server 3 is a server having functions of a web server and an e-mail server. The hardware configuration of the shopping server 3 is basically the same as the hardware configuration of the selling price management server 2. However, in the ROM and the hard disk, the web page data providing unit 301, the product order processing unit 302, the sales result notification unit 303, the discount price data acquisition unit 304, the advertisement mail distribution unit 305, and the website data shown in FIG. A program and data for realizing functions such as a storage unit 311, a product master storage unit 312, an order data storage unit 313, and a discount product data storage unit 314 are stored.

  FIG. 5 is a diagram illustrating an example of the product master storage unit 211 and the product data 6S.

  Next, processing contents of each unit of the selling price management server 2 shown in FIG. 3 and each unit of the shopping server 3 shown in FIG. 4 will be described.

  In FIG. 3, the product master storage unit 211 stores product data 6S for each product listed in the catalog B as shown in FIG.

  In the product data 6S of a certain product, the “product code” is an identifier for distinguishing the product from other products. “Product name” is the name of the product.

  The “standard flag” is a flag indicating whether or not the product is a standard product. If the standard flag is “1”, it means that it is a standard product, and if it is “0”, it means that it is not a standard product.

  The “major classification code”, “medium classification code”, and “small classification code” are identifiers of the large group, medium group, and small group to which the product belongs, respectively.

  “Sales target number” is the target number that the merchant A wants to sell the product by the expiration date of the catalog B.

  “Sales price” is the price when the product is sold to one customer. “Cost” is the price per item when the merchandise A purchases the product, that is, the purchase price. “Gross profit” is a gross profit obtained by the trader A when one product is sold at a fixed price, and is equal to a value obtained by subtracting the cost from the sales fixed price.

  The “target gross profit” is the gross profit that the trader A wants to obtain by selling the product before the expiration date. In the present embodiment, the product of the value of “gross profit” and the value of “target sales quantity” is set as the target gross profit.

  Further, the product master storage unit 211 stores an expiration date and a specific period of the catalog B. The specific period is divided into 10 periods. Hereinafter, the divided periods are described as “first period X1”, “second period X2”,..., “Tenth period X10” in order from the front. It is assumed that the lengths of the first period X1 to the tenth period X10 are equal and fixed. For example, “5 days” is set as the length of each of the first period X1 to the tenth period X10. In addition, a period from the date when the catalog B is published until the expiration date is described as “effective period X0”.

  In addition, the product data 6S includes a flag for distinguishing whether or not the product is a specific product.

  The product data 6S of each product is input by operating the keyboard or mouse of the selling price management server 2 by an employee of the trader A. The same applies to the expiration date and specific period of catalog B.

  In FIG. 4, the website data storage unit 311 is for display for displaying the catalog B and the web page of the trader A on a terminal device such as a customer's personal computer, personal digital assistant (PDA), or mobile phone terminal. Data 6H is stored.

  Similar to the product master storage unit 211 of the selling price management server 2, the product master storage unit 312 stores the expiration date and specific period of the catalog B in addition to the product data 6S of each product (see FIG. 5).

  The web page data providing unit 301 transmits the display data 6H to the customer terminal device in response to a request from the customer terminal device.

  Then, the customer terminal device displays the catalog B or the web page based on the display data 6H received from the shopping server 3. When the customer finds a product he / she wants to buy from the displayed catalog B, the customer accesses a web page for ordering. Then, the customer orders the product by designating the product and the number of items.

  The customer's terminal device transmits order data 6C indicating the product and quantity designated on the order web page to the shopping server 3.

  Then, in the shopping server 3, the product order processing unit 302 receives the order data 6C, and performs processing for ordering as follows.

  The product order processing unit 302 stores the received order data 6C in the order data storage unit 313. Further, the order data 6C is transmitted to a system for managing the inventory of goods, and processing for shipping is performed.

  The order data 6C is transmitted from the customer terminal device to the shopping server 3 every time the customer places an order. In this way, the order data 6C is stored in the order data storage unit 313.

  However, the product order processing unit 302 has received the number of orders for a certain product that has reached the sales target number shown in the product data 6S (see FIG. 5) of the product even though the expiration date has not yet been reached. Does not take orders. Then, the customer who is the orderer is notified that it is sold out. In this case, the order web page may be edited so that the order cannot be placed.

  The customer can also place an order by telephone or FAX. When the employee of the trader A receives the order, the order data 6C indicating the product and quantity designated by the customer are input to the terminal device 4 and transmitted to the shopping server 3. The order data storage unit 313 stores order data 6C from the terminal device 4.

  The sales performance notifying unit 303 performs a process of totaling orders received for each of the 11 periods of the valid period X0 and the first period X1 to the tenth period X10 for each product and notifying the sales price management server 2 as the sales performance. Do.

  Specifically, the sales result notifying unit 303 stores the order data storage unit 313 during any period after the validity period X0 and any one of the first period X1 to the tenth period X10. Read the order data 6C. The order data 6C is classified for each product shown. Then, the numbers shown in each of the sorted order data 6C are totaled. Thereby, the number of orders, that is, sales for each product is totaled.

  Then, the sales result notifying unit 303 transmits the sales result data 6J indicating the total number of each product to the selling price management server 2.

  In the selling price management server 2, the sales record data acquisition unit 201 receives the sales record data 6J from the shopping server 3 every time the valid period X0 and the first period X1 to the tenth period X10 expire.

  Each time the target completion determination unit 202 receives the sales performance data 6J, the target completion determination unit 202 determines whether the sales performance of each product has reached the target as follows.

  The target completion determination unit 202 calculates the number of sales so far for each product (total number of sales). Specifically, the target completion determination unit 202 determines, for each product, the number indicated in the sales performance data 6J for each period of the valid period X0 and the first period X1 to the tenth period X10 received so far. Aggregate and use the aggregated value as total sales.

  For example, immediately after the valid period X0, only the sales performance data 6J for the valid period X0 is received. Therefore, the target completion determination unit 202 uses the number of each product indicated in the sales performance data 6J of the valid period X0 as a total value.

  Or if it is immediately after passing the 2nd period X2, three sales performance data 6J of the effective period X0, the 1st period X1, and the 2nd period X2 are received. Therefore, the target completion determination unit 202 adds up the numbers indicated in the three sales performance data 6J for each product.

  Further, the target completion determination unit 202 calculates the total gross profit (total gross profit) so far for each product as follows.

  In the valid period X0, the product is sold at a regular price. Therefore, the target completion determination unit 202 calculates the product of the gross profit in the effective period X0 by obtaining the product of the gross profit shown in the product data 6S and the number sold (received an order) in the effective period X0 for each product. Subtotal is calculated.

  In the first period X1 to the tenth period X10, the goods are sold at a discount. Accordingly, the target completion determination unit 202 calculates the gross margin of a certain product for a certain period by calculating the product of the gross profit after discounting the product for that period and the number of the products sold for that period. To do.

  Then, the target completion determination unit 202 calculates the total gross profit for each product by totaling the subtotal of the gross profit for each period so far.

  When the total sales volume and gross profit so far for each product are obtained, the target completion determination unit 202 determines whether the target product is a standard product based on either the total sales volume or the gross profit. Whether or not is achieved. Whether or not each product is a standard product can be determined by checking the product data 6S (see FIG. 5) of each product.

  For a product that is a standard product, the target completion determination unit 202 determines that the target has been achieved when the gross profit of the product is equal to or greater than the target gross profit indicated in the product data 6S of the product. .

  On the other hand, for a product that is not a standard product, the target completion determination unit 202 determines that the target has been achieved when the total sales number of the product is equal to or greater than the sales target number indicated in the product data 6S of the product. .

  The sales end command unit 203 gives a command to the shopping server 3 so as to end the acceptance of the order for the product determined by the target completion determination unit 202 that the target has been achieved.

  Then, the product order processing unit 302 of the shopping server 3 ends the acceptance of the order for the product. Alternatively, the web page data providing unit 301 provides the customer with a web page so that the product cannot be ordered.

  By the way, in order to achieve the target for a product that has not yet reached the target even after the expiration date, it is conceivable to sell it at a reduced price. However, if the price is reduced too much, the profit of the trader A may be impaired. Therefore, in the selling price management server 2, the target achievement possibility determination unit 204, the lower price determination unit 205, and the lower price notification unit 206 perform processing for suitably reducing the price of the product as follows.

  The target achievement determination unit 204 continues to sell at the latest price until the expiration of the tenth period X10 every time one of the first period X1 to the ninth period X9 elapses. In each case, it is predicted for each product whether or not the goal can be achieved.

  The lower price determination unit 205 determines the price of a product that has not achieved the target when the valid period X0 has passed. In addition, every time one of the first period X1 to the tenth period X9 elapses, the target cannot be achieved if sales are continued until the expiration of the tenth period X10 at the latest price in the future. The price at which the product determined (predicted) by the target achievement determination unit 204 is reduced is determined.

  The lower price notification unit 206 notifies the shopping server 3 of the lower price each time the price reduction unit 205 determines the price of the product to be reduced (hereinafter, “the lower price”). The lower price notification unit 206 transmits the lower price data 6N indicating the product code and the lower price of the product to the shopping server 3.

  In the shopping server 3, the discounted product data storage unit 314 stores discounted price data 6N. The advertisement mail distribution unit 305 distributes an e-mail informing each customer's e-mail address of the reduced product and the lower price.

  In the selling price management server 2, the discounted sales history storage unit 212 stores the price, gross profit, and sales price for each of the products subject to price reduction in the valid period X0 and the first period X1 to the tenth period X10. Sales forecast actual data 6D indicating actual results, sales forecasts, and the like is stored. Details of the sales forecast actual data 6D will be described later.

  FIG. 6 is a flowchart for explaining an example of the flow of price reduction processing. Here, referring to the flowchart of FIG. 6 and the like for the processing procedures of the target achievement determination unit 204, the lower price determination unit 205, and the lower price notification unit 206 when the price of a certain product C is reduced. While explaining.

  When the target completion determination unit 202 determines that the sales target of the product C has not been achieved after the expiration of the valid period X0, the discount price determination unit 205 sets the price of the product C to a predetermined discount rate. The price is reduced by Ra (for example, 10%) (# 702 in FIG. 6). That is, the lower price of the product C is calculated by multiplying the current price of the product C by (100% −discount rate Ra).

  The lower price notification unit 206 transmits the new price, that is, the lower price data 6N indicating the lower price and the product code of the product C to the shopping server 3 (# 703). As a result, the product C is sold at a reduced price during the first period X1.

  After the expiration of the first period X1 (Yes in # 704), the target completion determination unit 202 determines whether or not the sales target of the product C has been achieved (# 705). If it has been achieved (Yes in # 706), the sales end command unit 203 instructs the shopping server 3 to end the acceptance of the order for the product C (# 713).

On the other hand, if it has not been achieved (No in # 706), the target achievement determination unit 204 will sell the product C at the current price (that is, the latest lower price) until the expiration of the tenth period X10. Predict whether or not the goal can be achieved if the process is continued (# 708)
When it is predicted that it can be achieved (Yes in # 709), the product C is sold in the second period X2 while maintaining the lower price.

  On the other hand, when it is predicted that the price cannot be achieved (No in # 709), the lower price determination unit 205 further reduces the price of the product C (# 710). Specifically, the price is further reduced by a discount rate Rb (for example, 5%) of the regular price from the current lower price.

  The lower price notification unit 206 transmits the lower price data 6N indicating the new lower price and the product code of the product C to the shopping server 3 (# 711). As a result, the product C is sold at a reduced price in the second period X2.

  Then, whenever each period from the second period X2 to the ninth period X9 expires, the processes of steps # 705 to # 713 are appropriately executed. However, if the target is achieved (Yes in # 706), the lower price for the next period is not determined, and the shopping server 3 is instructed to end the order acceptance (# 713), and the process shown in FIG. Exit. Also, when the ninth period X9 expires and the tenth period X10 starts (Yes in # 712), the process shown in FIG. 6 is terminated.

  Here, the product that is a standard product and the product that is not a standard product will be described in more detail as examples.

[If it is a standard product]
7 and 8 are diagrams showing examples of the discount sales history storage unit 212 and the sales forecast actual data 6D.

  First, the case where the price of the commodity C1, which is a standard commodity, is changed will be described as an example.

  The commodity C1 is a socks with a three-piece set of gentlemen. The product data 6S of the product C1 is product data 6S (see FIG. 5) indicating a product code “S00003”, and is stored in the product master storage unit 211.

  When the target completion determination unit 202 determines that the sales target of the product C1 has not been achieved after the expiration of the valid period X0, sales forecast actual data 6D of the product C1 in the valid period X0 is generated, and FIG. Is stored in the discount sales history storage unit 212.

  In the sales forecast actual data 6D, “period” is an identifier for distinguishing the period related to the sales forecast actual data 6D from other periods. “Number of units sold” is the total number of products C1 sold during the current period. The “total number sold” is the total number of products C1 sold from the date when the catalog B is released until the expiration of the current period.

  “Selling price” is the selling price of one product C1 to a customer in the current period. The selling price in the valid period X0 is equal to the selling price indicated in the product data 6S of the product C1. “Gross profit” is a gross profit obtained by selling one product C1, and is obtained by subtracting the cost indicated in the product data 6S of the product C1 from the sales price.

  “Gross profit for the period” is the gross profit of the product C1 during the period. “Total gross profit” is the total gross profit from the sale (order) of the product C1 from the date when the catalog B is published until the expiration of the current period. The total gross profit and total gross profit for this period are obtained when the target completion determination unit 202 determines the completion (achievement) of the sales target of the product C1. The “vs. target difference” is a difference between the total gross profit and the target gross profit shown in the product data 6S. If the target has already been achieved, the difference to target is 0 or more, and if not, the difference to target is a negative value.

  “Estimated number of remaining periods”, “Estimated number of remaining periods”, “Estimated gross profit of remaining period”, “Expected disposal loss”, “Estimated difference”, and “Estimated remaining sales” will be described later . It should be noted that “0” is shown in these fields of the sales forecast actual data 6D of the valid period X0.

  The lower price determination unit 205 determines the lower price of the product C1 in the first period X1 as the price discounted by the discount rate Ra (# 702 in FIG. 6), and the lower price notification unit 206 The lower price data 6N indicating the commodity code of C1 and the determined lower price is transmitted to the shopping server 3 (# 703). As a result, the product C1 is sold at a reduced price.

  In this example, it is assumed that the discount rate Ra is “10%”. Therefore, the reduced price of the product C1 in the first period X1 is “1000 yen × (100% −10%) = 900 yen” because the regular price of the product C1 is “1000 yen”. As the price is reduced, the gross profit is “900 yen−600 yen = 300 yen” because the cost of the product C1 is “600 yen”.

  When the first period X1 has passed (Yes in # 704), the sales result data 6J of the first period X1 is transmitted from the shopping server 3.

  Then, the target completion determination unit 202 determines whether or not the sales target (target gross profit) of the product C1 has been achieved by the above-described method based on the sales performance data 6J (# 705).

  If the target has been achieved (Yes in # 706), the sales end command unit 203 instructs the shopping server 3 to end the sales (order reception) of the product C1 (# 713).

On the other hand, if the target has not been achieved (No in # 706), the target attainment determination unit 204 determines the commodity C1 until the expiration of the tenth period X10 at the current price (that is, the latest lower price). It is predicted as follows whether the target can be achieved when sales are continued (# 708).
The goal achievement determination unit 204 calculates the expected gross profit for the remaining period. “Gross profit expected for all remaining periods” means that the product C1 will continue to be sold until the expiration of the tenth period X10 at the current lower price and the product will be sold at the pace of the current period (here, the first period X1). This is the total gross profit obtained from the next period (here, the second period X2) to the expiration of the tenth period X10 when C1 is sold.

  Therefore, the target achievement determination unit 204 calculates the current gross profit, the number of products C1 sold during the current period, and the amount obtained by multiplying the remaining number of periods as the expected gross profit for the remaining period. For example, if the number shown in the sales performance data 6J is “20”, “300 yen × 20 pieces × 9 periods = 54000 yen” is calculated as the expected gross profit for the remaining period.

  In this way, in this embodiment, the target achievement possibility determination unit 204 predicts that the product C1 will continue to be sold at a pace sold during the current period. Therefore, the number of products C1 sold during the current period is predicted as the number that will be sold in the next period, and is described as “estimated number of remaining periods”. In addition, the product of the number of products C1 sold during the current period and the number of remaining periods is predicted as the number that can be sold in all future periods, and is described as “expected number of remaining periods”. According to the above example, the estimated number of remaining periods and the estimated number of remaining periods of the first period X1 are “20” and “180”, respectively.

  Further, the target achievement determination unit 204 multiplies the gross profit of the product C1 for the current period by the total number of sales for the current period to obtain the total gross profit of the product C1 obtained during the current period (that is, the total gross profit for the period Interest).

  Furthermore, the target achievement determination unit 204 adds a value calculated by adding the calculated remaining total period expected gross profit and the current period total gross profit to the target difference amount up to the previous period (here, the effective period X0) (hereinafter, “ "Predicted difference").

  Then, the goal achievement possibility determination unit 204 predicts that the goal can be achieved if the prediction difference is 0 or more. On the other hand, if the prediction difference is negative, it is predicted that the target cannot be achieved.

  According to the above example, the estimated gross profit for the remaining period and the gross profit for the current period are “54,000 yen” and “6000 yen”, respectively. According to the example of FIG. 40000 yen ". Therefore, the target achievement possibility determination unit 204 predicts that the target can be achieved because the prediction difference is “−40000 yen + 54000 yen + 6000 yen = 20000 yen”, that is, 0 or more.

  If it is predicted that it can be achieved (Yes in # 709), the commodity C1 is sold at the current lower price also in the next period (here, the second period X2).

  On the other hand, when it is predicted that the price cannot be achieved (No in # 709), the lower price determination unit 205 obtains a price obtained by further reducing the current price (the lower price) of the product C1 by the discount rate Rb of the regular price. This is determined to be the lower price for the next period (# 710). Then, the lower price notification unit 206 transmits the lower price data 6N indicating the new lower price and the product code of the product C1 to the shopping server 3 (# 711). As a result, the product C1 is sold at a reduced price for the next period.

  Then, as shown in FIG. 7B, the discount sales history storage unit 212 stores the sales forecast actual data 6D of the product C1 in the first period X1.

  As described above, each value of the “sales number” or “target difference” in the sales forecast actual data 6D is obtained from the current sales data 6J and the product data 6S of the product C1 transmitted from the shopping server 3 as described above. Desired.

  The “estimated number of remaining periods”, “estimated number of remaining periods”, “estimated remaining period gross profit”, and “forecast difference” are obtained in step # 708. The “predicted remaining sales number” is a number obtained by subtracting the total sales number and the estimated total remaining period from the sales target number indicated in the product data 6S. “Expected disposal loss” is always “0 yen” for standard products. The meaning of the expected disposal loss will be described later.

  Then, whenever each period from the second period X2 to the ninth period X9 expires, the processes of steps # 705 to # 713 are appropriately executed. The sales number of the product C1 in each period from the second period X2 to the ninth period X9 is “14”, “12”, “16”, “14”, “20”, “20”, “16”, In the case of “20”, the sales forecast actual data 6D as shown in FIG. 8 is stored in the discount sales history storage unit 212 as the sales forecast actual data 6D for each period.

  At the expiration of each of the second period X2, the fourth period X4, the sixth period X6, and the seventh period X7, it is predicted that the target can be achieved even if the lower price of that period is maintained Has been. Therefore, the selling price for that period is also adopted in the next period.

  On the other hand, at the expiration of each of the third period X3, the fifth period X5, the eighth period X8, and the ninth period X9, it is predicted that the target cannot be achieved at the price under that period. Yes. Therefore, the selling price for the next period has been lowered.

  Further, even after the tenth period X10 expires, the sales forecast actual data 6D of the tenth period X10 is stored in the discount sales history storage unit 212. However, since the sale of the product C1 by the catalog B ends, the “estimated number of remaining period” or “predicted remaining price” are all blank.

[If it is not a standard product]
FIG. 9 and FIG. 10 are diagrams showing examples of the discount sales history storage unit 212 and the sales forecast actual data 6D.

  Next, a case where the price of the product C2 that is not a standard product is changed will be described as an example.

  Product C1 is a gentleman's summer tie. The product data 6S of the product C1 is product data 6S (see FIG. 5) indicating a product code “S00006”, and is stored in the product master storage unit 211.

  When the target completion determination unit 202 determines that the sales target of the product C2 has not been achieved after the expiration of the valid period X0, sales forecast actual data 6D of the product C2 in the valid period X0 is generated, and FIG. Is stored in the discount sales history storage unit 212.

  Each field of the sales forecast actual data 6D has the same meaning as each field of the sales forecast actual data 6D of the product C1. However, the “estimated disposal loss” indicates “0 yen” in the sales forecast actual data 6D of the product C1, but the sales forecast actual data 6D of the product C2 includes the product C2 even if the tenth period X10 expires. Indicates the estimated amount of loss due to unsold. Specifically, the product of the cost and the predicted number of remaining sales is the expected disposal loss.

  As in the case of the product C1, the discount price determination unit 205 determines the discount price of the product C2 in the first period X1 as the price discounted by the discount rate Ra (# 702 in FIG. 6). The lower price notification unit 206 transmits the lower price data 6N indicating the commodity code of the commodity C2 and the determined lower price to the shopping server 3 (# 703).

  Also in this example, it is assumed that the discount rate Ra is “10%”. Therefore, the reduced price of the product C2 in the first period X1 is “2000 yen × (100% −10%) = 900 yen” because the regular price of the product C2 is “1000 yen”. As the price is reduced, the gross profit is “900 yen−600 yen = 300 yen” because the cost of the product C1 is “600 yen”.

  When the first period X1 has passed (Yes in # 704), the sales result data 6J of the first period X1 is transmitted from the shopping server 3.

  Then, the target completion determination unit 202 determines whether or not the sales target (sales target number) of the product C2 has been achieved by the above-described method based on the sales performance data 6J (# 705).

  If the goal has been achieved (Yes in # 706), the sales end command unit 203 instructs the shopping server 3 to end the sales (order received) of the product C2 (# 713).

  On the other hand, if the target has not been achieved (No in # 706), the target attainment determination unit 204 determines the commodity C2 until the expiration of the tenth period X10 at the current price (that is, the latest lower price). Whether sales can be achieved when sales are continued is predicted as follows (# 708).

  Similar to the case of the product C1, the goal achievement possibility determination unit 204 calculates the estimated remaining number of periods for the product C2, the estimated total remaining period, and the predicted remaining number of sales. If the predicted remaining sales volume is 0 or more, it is predicted that the target can be achieved. On the other hand, if the predicted remaining sales volume is negative, it is predicted that the target cannot be achieved. In addition, the target achievement possibility determination unit 204 also obtains the remaining gross period expected gross profit, the expected disposal loss, and the predicted difference.

  For example, assume that 800 products C2 are sold during the effective period X0 and 10 products are sold during the first period X1. Further, according to the product data 6S of the product C2, the sales target number of the product C2 is “1000”. In such a case, the estimated number of remaining periods, the estimated number of remaining periods, and the estimated number of remaining sales are “10”, “90”, and “1000-800-10-10-90, respectively. = 100 ". Therefore, it is predicted that the target can be achieved.

  If predicted to be achievable (Yes in # 709), as in the case of the product C1, the product C2 is sold at the current lower price in the next period.

  On the other hand, if it is predicted that the price cannot be achieved (No in # 709), the lower price determination unit 205 obtains a price obtained by further reducing the current price (the lower price) of the product C2 by the discount rate Rb of the regular price. This is determined to be the lower price in the next period (here, the second period X2) (# 710). Then, the lower price notification unit 206 transmits the lower price data 6N indicating the new lower price and the product code of the product C2 to the shopping server 3 (# 711). As a result, the product C2 is sold at a reduced price for the next period.

  Then, as shown in FIG. 9B, the discount sales history storage unit 212 stores the sales forecast actual data 6D of the product C2 in the first period X1.

  Then, whenever each period from the second period X2 to the ninth period X9 expires, the processes of steps # 705 to # 713 are appropriately executed. The number of products C2 sold in each period from the second period X2 to the ninth period X9 is “22”, “21”, “15”, “18”, “23”, “23”, “18”, In the case of “25”, the sales forecast actual data 6D as shown in FIG. 10 is stored in the discount sales history storage unit 212 as the sales forecast actual data 6D for each period.

  At the expiration of each of the second period X2, the third period X3, the sixth period X6, the seventh period X7, and the ninth period X9, even if the price under that period is maintained It is predicted that the goal can be achieved. Therefore, the selling price for that period is also adopted in the next period.

  On the other hand, at the expiration of each of the fourth period X4, the fifth period X5, and the eighth period X8, it is predicted that the target cannot be achieved at the lower price during that period. Therefore, the selling price for the next period has been lowered.

  Further, after the expiration of the tenth period X10, the sales forecast actual data 6D of the product C2 of the tenth period X10 is stored in the discount sales history storage unit 212 as in the case of the product C1.

  FIG. 11 is a flowchart for explaining an example of the overall processing flow of the selling price management server 2.

  Next, the overall processing flow of the selling price management server 2 while the sale of the product by the catalog B is continued will be described with reference to the flowchart of FIG.

  When the expiration date of the catalog B has passed (Yes in # 11 in FIG. 11), the selling price management server 2 checks whether or not the sales target has been achieved for the specific product among the products listed in the catalog B ( # 12).

  The sale price management server 2 instructs the shopping server 3 to end the sale of the specific product that has achieved the target (Yes in # 13, # 14).

  Specific products that have not achieved the target are sold at a reduced price for a specific period. Therefore, the selling price management server 2 performs a process of reducing the price of these specific products (No in # 13, # 14). Details of this processing are as described above with reference to FIG.

  According to this embodiment, even when a large number of products are listed in the catalog, the price of unsold products can be determined so that more profits can be easily obtained.

  FIG. 12 is a flowchart for explaining a modified example of the flow of the lowering process, and FIGS. 13 and 14 are diagrams showing examples of the lowering sales history storage unit 212 and the sales forecast actual data 6DC and 6DD.

  In the present embodiment, the selling price management server 2 checks the achievement of the target for each group of the same product and performs the price reduction. However, the sale price management server 2 may check the achievement of the target and perform the price reduction for the group of the non-identical product. . For example, the achievement of the target may be checked for each small group and the price may be reduced.

  Here, the product C3 whose sales target number, sales price, and cost are “1000”, “1000 yen”, and “600 yen” respectively, and the target gross margin, sales price, and cost are “600000 yen”, respectively. An example of price reduction processing by the selling price management server 2 will be described by taking as an example a case where the product C4 of “800 yen” and “500 yen” belongs to the same group. The product C4 is a standard product, but the product C3 is not a standard product.

  After the expiration of the valid period X0, the selling price management server 2 receives the sales record data 6J from the shopping server 3 and determines whether or not the sales targets of the products C3 and C4 have been achieved. Since the product C3 is not a standard product, the selling price management server 2 determines whether the sales number of the product C3 has reached the sales target number. On the other hand, since the product C4 is a standard product, the selling price management server 2 determines whether or not the total gross profit has reached the target gross profit for the product C4.

  Further, the selling price management server 2 determines whether or not the goal of the entire group has been achieved. In this modified example, the target is that the gross profit of the entire group (that is, the total gross profit of each of the products C3 and C4) is 0 or more.

  If the selling price management server 2 determines that the sales target of any of the products C3 and C4 has not been achieved, the selling price management server 2 sells the products C3 and C4 at a reduced price for a specific period. The method of price reduction is basically the same as that described above with reference to FIG. Hereinafter, the difference from the above-described embodiment will be mainly described with reference to the flowchart shown in FIG.

  The selling price management server 2 generates sales forecast data 6D for each of the products C3 and C4 in the validity period X0 and stores them as shown in FIG. Hereinafter, the sales forecast actual data 6D of the product C3 and the sales forecast actual data 6D of the product C4 are described separately from “sales forecast actual data 6DC” and “sales forecast actual data 6DD”, respectively.

  The selling price management server 2 reduces the prices of the products C3 and C4 by the discount rate Ra (# 722 in FIG. 12). Also in this modification, it is assumed that the discount rate Ra is “10%”. Therefore, the selling prices (lower prices) of the products C3 and C4 are “900 yen” and “720 yen”, respectively. Then, the lower price is notified to the shopping server 3 (# 723). Note that even if the goal of the product C4, which is a standard product, is achieved in the effective period X0 and the sale of the product C4 is finished, the product C3 and C4 are targeted until the goal is achieved or the tenth period X10 expires. Sales of C4 will resume.

  After the expiration of the first period X1 (Yes in # 724), the selling price management server 2 receives the sales performance data 6J of the first period X1 from the shopping server 3, and the sales target of each of the products C3 and C4 and It is determined whether or not the overall group goal has been achieved (# 725).

  If all the goals have been achieved (Yes in # 726), the selling price management server 2 instructs the shopping server 3 to end the sales (orders) of the products C3 and C4 (# 735).

  On the other hand, if any one of the targets is not achieved, sales of both the products C3 and C4 are continued. In continuing sales, the selling price management server 2 performs price reduction as necessary as follows.

  The selling price management server 2 predicts whether or not the target can be achieved even if sales are continued at the current lower price (# 728). The selling price management server 2 predicts whether or not the overall group target can be achieved. Specifically, the sum of the prediction differences of the products C3 and C4 is obtained, and if this sum is 0 or more, it is predicted that the target can be achieved. If the forecast difference is negative, it is predicted that the target cannot be achieved. Furthermore, the selling price management server 2 also predicts whether or not the target of the product C3 can be achieved. The prediction method is as described above with reference to FIG.

  When it is predicted that the target of the entire group cannot be achieved (Yes in # 729), the selling price management server 2 further reduces the price of the standard product, that is, the product C4 by the cost discount rate Rb (# 730).

  If it is predicted that the target of the specific product that is not a standard product, that is, the product C3 cannot be achieved (Yes in # 731), the selling price management server 2 further reduces the price of the product C3 by the discount rate Rb of the cost (# 732).

  When the price has been lowered, the sale price management server 2 notifies the shopping server 3 of the price after the price reduction (# 733).

  Then, as shown in FIG. 13B, the selling price management server 2 stores the sales forecast data 6D (6DC, 6DD) of the products C3 and C4 in the first period X1.

  Then, whenever each period from the second period X2 to the ninth period X9 expires, the processes of steps # 725 to # 735 are appropriately executed. The sales number of the product C3 in each period from the second period X2 to the ninth period X9 is “10”, “8”, “12”, “10”, “8”, “12”, “10”, If “10” and the sales quantity of the product C4 is “12”, “10”, “8”, “6”, “5”, “10”, “7”, “5”, respectively, the selling price management The server 2 stores the sales forecast data as shown in FIG. 14 as the sales forecast data 6D (6DC, 6DD) for each period.

  At the expiration of each of the second period X2, the fourth period X4, the fifth period X5, the seventh period X7, the eighth period X8, and the ninth period X9, the value of that period It is predicted that the target can be achieved even if the price is maintained. Therefore, the selling price for that period is also adopted in the next period.

  At the expiration of the third period X3, the target of the entire group is predicted to be achievable, but it is predicted that the target of the product C4 cannot be achieved. Therefore, after the expiration of the third period X3, only the commodity C4 is further reduced.

  At the expiration of the sixth period X6, it is predicted that neither the group-wide target nor the product C4 target can be achieved. Therefore, after the expiration of the sixth period X6, both the products C3 and C4 are further priced down.

  In the present embodiment, the length of the first period X1 to the tenth period X10 is fixed, but may be varied. For example, when it is predicted that the target cannot be reached at the current lower price at the expiration of any one of the first period X1 to the ninth period X9, the next period is set short. You may fix it. Alternatively, when it is predicted that the target can be reached even at the current lower price, the next period may be set longer.

  In the present embodiment, the example of changing the price of one product and changing the price of each of two products belonging to one group has been described. However, when changing the price of each of a plurality of products and each of a plurality of groups The catalog shopping system 1 can also be used when changing the price of a product belonging to the category. In this case, the catalog shopping system 1 may perform the process shown in FIG. 6 or the process shown in FIG. 12 in parallel for each product or group. When changing the length of the first period X1 to the tenth period X10, the catalog shopping system 1 may change and store the length of each period for each product or group.

  In the present embodiment, the selling price management server 2 predicts the remaining one-period expected number, the remaining total period estimated number, and the remaining total period estimated gross profit based on the results of the latest period. For example, it may be based on the sales performance of catalog B ′) applied one year before applying catalog B.

  In other words, the catalog shopping system 1 records the sales performance of each period from the valid period X0 and the first period X1 to the tenth period X10 one year before each product by the catalog B ′. Then, when a certain product Cx is sold by the catalog B, for example, after the expiration of the third period X3, the number of products Cx sold in the fourth period X4 one year ago is determined as the expected number for the remaining period. The number of products Cx sold during the period from the fourth period X4 to the tenth period X10 and the resulting gross profit may be determined as the remaining total period expected number and the remaining total period expected gross profit.

  In this embodiment, when it is predicted that the target cannot be achieved, the lower price applied in the next period is set by uniformly reducing the price by the discount rate Rb of the regular price, but even if the discount rate is changed Good. At this time, the discount rate at the time of sale by the catalog B 'may be used as follows.

  When the selling price management server 2 lowers the selling price of a certain product Cx in the third period X3, the selling price management server 2 searches for a discount rate in the third period X3 one year before each of a plurality of products similar to the product Cx. Then, the average value of the discount rates of each of the plurality of products is applied as a discount rate for reducing the selling price of the product Cx in the current third period X3.

  In this embodiment, gross profit (gross profit) is used as a target for the amount of money, but sales may be used.

  In the present embodiment, the products sold in the catalog are divided into so-called standard products and other products, but other classification methods may be used. For example, a group of standard products that do not deteriorate in quality even if left in a warehouse for a long time, and a group of products that are basic but easy to deteriorate in quality (food items, etc.) and non-standard products (fashionable items) It may be divided into

  In addition, the configuration of the entire catalog shopping system 1, the selling price management server 2, the shopping server 3, each unit, the processing content, the processing order, the data configuration, and the like can be appropriately changed in accordance with the spirit of the present invention.

2 Sell price management server (price determination device)
202 Goal completion judgment unit (goal achievement judgment means, first goal achievement judgment means, second goal achievement judgment means)
204 Goal achievement determination unit (goal achievement prediction means, first goal achievement prediction means, second goal achievement prediction means)
205 Price reduction part (next split period price determination means)

Claims (7)

A price determination device for determining a price of a product sold to a customer during a predetermined period,
Each time the k-th divided period (1 ≦ k <n) of the divided periods obtained by dividing the predetermined period into n passes, the product is sold from the first divided period to the k-th divided period. A target achievement discrimination means for discriminating whether or not the sales target of the product has been achieved by comparing the actual result with the sales target of the product;
When it is determined that the target has not been achieved, the sales based on the actual sales price of the product before the k-th division period and the current price of the product in the k-th division period When sales are continued at the current price by calculating the sales forecast until the expiration of the nth period when sales are continued at the current price and collating the calculated forecast with the target. A goal achievement prediction means for predicting whether or not the goal can be achieved;
A next divided period price determining means for determining, when it is predicted that the target will not be achieved, a next divided period price that is a price in the (k + 1) th divided period of the product to a price lower than the current price;
Having a price determination device. The predetermined period is a period of sale of the product by a first catalog,
The next divided period price determining means determines the price of the next divided period in the period corresponding to the (k + 1) th divided period by the second catalog applied before the time when the catalog was applied. Based on sales performance of
The price determination apparatus according to claim 1. A price determination device for determining a price of each of a first product and a second product sold to a customer during a predetermined period,
Each time the kth divided period (1 ≦ k <n) of the divided periods obtained by dividing the predetermined period into n passes, the kth divided period from the first divided period of the first product. First target achievement determination means for determining whether or not a first target that is a target of the number of sales of the first product is achieved based on the actual number of sales until
Each time the k-th split period passes, the first product and the second product each from the first split period to the k-th split period based on gross profit or sales results, A second goal achievement judging means for judging whether or not a second goal which is a target of gross profit or sales of the one product and the second product is achieved;
If it is determined that the first target is not achieved, the k th of the first product is based on the actual number of sales before the k th division period of the first product. First target achievement prediction that predicts whether or not the first target can be achieved by the expiration of the nth period even if sales are continued at the first current price that is the price in the split period Means,
When it is determined that the second target has not been achieved, the first product and the second product, based on the gross profit or the sales results before the k-th split period, respectively. Continue to sell the first product at a current price and continue to sell the second product at a second current price that is the price of the second product in the k-th split period. A second goal achievement prediction means for predicting whether or not the second goal can be achieved by the expiration of the nth period;
If the first target is predicted not to be achieved, the first next period price is determined to be lower than the first current price, and the second target is predicted not to be achieved A second divided period price determining means for determining a second next divided period price that is a price in the (k + 1) th divided period of the second product to a price lower than the second current price;
Having a price determination device. A method for producing price information used to control processing for determining a price of a product to be sold to a customer during a predetermined period,
On the computer,
Each time the k-th divided period (1 ≦ k <n) of the divided periods obtained by dividing the predetermined period into n passes, the product is sold from the first divided period to the k-th divided period. The process of determining whether or not the sales target of the product has been achieved by comparing the actual result with the sales target of the product,
Price information indicating the actual sales before the k-th division period of the product and the current price value that is the price of the product in the k-th division period when it is determined that the target has not been achieved. Based on the above, the sales forecast result until the expiration of the nth period when the sale is continued at the current price is calculated, and the calculated forecast result is collated with the target, thereby selling at the sale price. To predict whether or not the target can be achieved by the expiration of the nth period even if the process is continued,
When it is predicted that the target will not be achieved, a process of determining a price in the next divided period, which is a price in the (k + 1) th divided period of the product, to a price lower than the current price is executed.
Executing a process of generating price information indicating the value of the determined next division period price;
Price information manufacturing method. A method for producing price information used for controlling processing for determining a price of each of a first product and a second product to be sold to a customer during a predetermined period,
On the computer,
Each time the kth divided period (1 ≦ k <n) of the divided periods obtained by dividing the predetermined period into n passes, the kth divided period from the first divided period of the first product. Based on the actual number of sales until the first target, which is the target of the number of sales of the first product, is executed,
Each time the k-th split period passes, the first product and the second product each from the first split period to the k-th split period based on gross profit or sales results, Execute a process to determine whether the second target, which is the gross profit or sales target for the first product and the second product, is achieved,
If it is determined that the first goal has not been achieved, the k-th division of the first product is based on the actual number of sales before the k-th division period of the first product. Execute a process for predicting whether or not the first target can be achieved by the expiration of the nth period even if sales are continued at the first current price that is the price in the period,
When it is determined that the second target has not been achieved, the first product and the second product, based on the gross profit or sales results before the k-th split period, respectively, The sale of the first product at the current price of the second product and the sale of the second product at the second current price that is the price of the second product in the k-th split period. execute a process for predicting whether or not the second goal can be achieved by the expiration of the nth period;
When it is predicted that the first target will not be achieved, the first next period price is determined to be lower than the first current price, and the second target is predicted not to be achieved To execute a process of determining a second next divided period price that is a price in the (k + 1) th divided period of the second product to a price lower than the second current price,
Executing a process of generating price information indicating the value of the determined next division period price;
Price information manufacturing method. A computer program used in a computer for determining a price of a product sold to a customer during a predetermined period,
In the computer,
Each time the k-th divided period (1 ≦ k <n) of the divided periods obtained by dividing the predetermined period into n passes, the product is sold from the first divided period to the k-th divided period. Based on the results of the above, to determine whether or not the sales target of the product has been achieved,
If it is determined that the target has not been achieved, based on the sales performance of the product before the k-th split period, continue to sell at the current price that is the price of the product in the k-th split period Even so, execute the process of predicting whether or not the target can be achieved by the expiration of the nth period,
When it is predicted that the target will not be achieved, a process of determining a price in the next divided period, which is a price in the (k + 1) th divided period of the product, to a price lower than the current price is executed.
Computer program. A computer program used in a computer for determining a price of each of a first product and a second product sold to a customer during a predetermined period,
In the computer,
Each time the kth divided period (1 ≦ k <n) of the divided periods obtained by dividing the predetermined period into n passes, the kth divided period from the first divided period of the first product. Based on the actual number of sales until the first target, which is the target of the number of sales of the first product, is executed,
Each time the k-th split period passes, the first product and the second product each from the first split period to the k-th split period based on gross profit or sales results, Execute a process to determine whether the second target, which is the gross profit or sales target for the first product and the second product, is achieved,
If it is determined that the first goal has not been achieved, the k-th division of the first product is based on the actual number of sales before the k-th division period of the first product. Execute a process for predicting whether or not the first target can be achieved by the expiration of the nth period even if sales are continued at the first current price that is the price in the period,
When it is determined that the second target has not been achieved, the first product and the second product, based on the gross profit or sales results before the k-th split period, respectively, The sale of the first product at the current price of the second product and the sale of the second product at the second current price that is the price of the second product in the k-th split period. execute a process for predicting whether or not the second goal can be achieved by the expiration of the nth period;
When it is predicted that the first target will not be achieved, the first next period price is determined to be lower than the first current price, and the second target is predicted not to be achieved To execute processing for determining a second next divided period price that is a price in the (k + 1) th divided period of the second product to a price lower than the second current price,
Computer program.

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