JP5652283B2 - Product sales support device, product sales support method, and product sales support program - Google Patents

Description

  The present invention relates to a product sales support apparatus and the like.

  When recommending the purchase of a product to a customer, if a product that meets the customer's preference can be presented, the customer's willingness to purchase can be stimulated, which is preferable. For example, there is a technique in which a product having an attribute common to a product purchased by a customer is determined as a product that matches the user's preference, and the determined product is displayed. Moreover, in the online shopping, a technique is used in which purchase histories of other customers who have purchased the same product as the product purchased by the customer in the past are displayed.

  In addition, in the prior art, from the selection of a product etc. until the purchase operation, the online shop that can cancel the selection, etc., once selected, but then the shorter the time it was canceled and deselected, the shorter It is shown that the importance is determined to be low. In addition, it is shown that as the time from the non-selection time to the purchase is shorter, the point is increased as a product remaining as a purchase candidate.

JP 2003-91653 A

  However, the above-described conventional technology has a problem that it is not possible to propose a product that meets customer preferences.

  The product purchased by the customer can be said to be a product that matches the customer's preference, but the product that the customer did not purchase is not necessarily a product that does not meet the customer's preference. For example, the customer likes both the product A and the product B, but may eventually select the product A.

  For this reason, in order to broaden the repertoire of products to be proposed to customers, products are proposed by further adding products other than products that meet customer preferences. However, if the product proposed to the customer contains many products that do not meet the customer's preference, it may take a long time for the customer to select the product or damage the customer's mood. It could have happened.

  Moreover, even if the time required for non-selection is used as in the above prior art, it is impossible to determine for what reason the product has been canceled and to propose a product that suits the taste of the customer I can't.

  The disclosed technology has been made in view of the above, and an object thereof is to provide a product sales support device, a product sales support method, and a product sales support program capable of proposing a product that meets customer preference. And

  The disclosed product sales support apparatus includes a storage unit, an attribute number calculation unit, and a priority order determination unit. The storage unit stores an attribute number management table in which attributes for each category included in a plurality of product information are associated with the number of attributes. The number-of-attributes calculation unit sequentially subtracts the number of attributes in the number-of-attributes management table corresponding to the attributes included in the unnecessary product information among the plurality of product information in the order in which the unnecessary product information is selected. . The priority determination unit determines an attribute whose number of attributes is less than a predetermined number as an attribute of a product that does not satisfy the customer's preference, and based on the determination result and the order of attributes where the number of attributes is less than the predetermined number. The priority of each attribute is determined.

  According to the disclosed product sales support apparatus, there is an effect that it is possible to propose a product that meets the taste of the customer.

FIG. 1 is a diagram illustrating an example of a configuration of a product sales support system according to the present embodiment. FIG. 2 is a functional block diagram showing the configuration of the server. FIG. 3 is a diagram illustrating an example of the data structure of the customer DB. FIG. 4 is a diagram illustrating an example of a data structure of the determination criterion DB. FIG. 5 is a diagram illustrating an example of the data structure of the product master. FIG. 6 is a diagram illustrating an example of a data structure of the determination criterion data. FIG. 7 is a diagram illustrating an example of the data structure of the customer service data of the server. FIG. 8 is a diagram illustrating an example of the data structure of the attribute number management table. FIG. 9 is a functional block diagram illustrating a configuration of the terminal device. FIG. 10 is a diagram illustrating an example of a data structure of customer service data of the terminal device. FIG. 11 is a diagram illustrating an example of customer service data rearranged in ascending order. FIG. 12 is a diagram illustrating changes in the number of attributes for each attribute. FIG. 13 is a diagram illustrating an example of a data structure of the updated criterion data. FIG. 14 is a flowchart illustrating the processing procedure of the merchandise sales support system according to the present embodiment. FIG. 15 is a flowchart illustrating a processing procedure of the determination criterion data extraction process. FIG. 16 is a flowchart showing a processing procedure of customer service data generation processing. FIG. 17 is a flowchart showing a processing procedure for customer service data update processing. FIG. 18 is a flowchart showing a processing procedure of priority order update processing. FIG. 19 is a diagram illustrating an example of a computer that executes a product sales support program.

  Embodiments of a product sales support device, a product sales support method, and a product sales support program disclosed in the present application will be described below in detail with reference to the drawings. Note that the present invention is not limited to the embodiments.

  FIG. 1 is a diagram illustrating an example of a configuration of a product sales support system according to the present embodiment. As shown in FIG. 1, the product sales support system includes a server 100 and a terminal device 200. Server 100 and terminal device 200 are connected to network 50.

  The server 100 is a device that stores product information, determination reference data related to customer preferences, and the like in the storage unit and notifies the terminal device 200 of product information that meets customer preferences. The terminal device 200 is a device that displays product information received from the server 100. A salesperson who sells a product presents the screen of the terminal device 200 to the customer when selling the product, and sells the product.

  Further, the terminal device 200 generates determination reference data of the customer who purchased the product based on the attribute of the product information determined to be unnecessary by the customer and the order of the product information determined to be unnecessary, and notifies the server 100 of it. . The server 100 updates the information in the storage unit using the criterion data received from the terminal device 200.

  Next, the configuration of the server 100 shown in FIG. 1 will be described. FIG. 2 is a functional block diagram showing the configuration of the server. As shown in FIG. 2, the server 100 includes an interface unit 110, a storage unit 120, a reception processing unit 130, a determination reference data extraction unit 140, a customer service data generation unit 150, an attribute number management table generation unit 155, a notification unit 160, A determination criterion DB management unit 170 is included.

  The interface unit 110 is a processing unit that performs data communication with the terminal device 200. For example, the interface unit 110 corresponds to a network communication card or a communication device.

  The storage unit 120 includes a customer DB (Data Base) 120a, a judgment standard DB (Data Base) 120b, judgment standard data 120c, a product master 120d, customer service data 120e, and an attribute number management table 120f. The storage unit 120 corresponds to, for example, a semiconductor memory device such as a random access memory (RAM), a read only memory (ROM), or a flash memory, or a storage device such as a hard disk or an optical disk.

  The customer DB 120a is a table that stores various types of information related to customers. FIG. 3 is a diagram illustrating an example of the data structure of the customer DB. As shown in FIG. 3, in the customer DB 120a, various pieces of data are associated with member numbers that uniquely identify customers. For example, the various data includes sex, age, address, and body type.

  The determination criterion DB 120b is a table that stores information on products that do not meet customer preferences. FIG. 4 is a diagram illustrating an example of a data structure of the determination criterion DB. As shown in FIG. 4, the determination criterion DB 120b has a member number, a visit date, priority, a model, a sleeve length, a color, a pattern, and a material. Among these, the visit date corresponds to the date and time when the customer visited the store. The priority becomes a smaller numerical value as the corresponding attribute matches the customer's preference, and the priority of the attribute that best meets the customer's preference becomes 1. Here, the attribute indicates the characteristics of the clothes, and corresponds to, for example, a mold, a sleeve length, a color, a pattern, and a material.

  In the example shown in FIG. 4, when enumerating from the customer number “H1” according to the preference of the customer, the material “cotton”, the material “hemp, synthetic fiber”, the color “pink”, “紺”, the pattern “stripe”, the color "Black", type "single", sleeve length "short sleeves". That is, it can be seen that the customer with the membership number “H1” prefers the product with the material “cotton”. Note that the attributes having the same priority order have the same customer preference.

  The criterion data 120c is data generated based on the criterion DB 120b. The data structure of this criterion data 120c will be described later.

  The product master 120d is data that stores various types of information related to products. FIG. 5 is a diagram illustrating an example of the data structure of the product master. As shown in FIG. 5, in the product master 120d, various data are associated with the product code. For example, various data includes product name, brand, size, season, shape, color pattern, material, price, product image, and search keyword. The shape includes a mold and a sleeve length. The color pattern includes a color and a pattern. In the product master 120d, the model, sleeve length, color, pattern, and material correspond to the attributes of the product.

  The customer service data 120e includes product information that meets customer preference among the product information included in the product master 120d. The data structure of the customer service data 120e will be described later.

  The attribute number management table 120f includes a result of counting the number of attributes for each attribute type based on the attributes of each piece of product information included in the customer service data 120e. The data structure of the attribute number management table 120f will be described later.

  Returning to the description of FIG. When the reception processing unit 130 acquires a customer member number from the terminal device 200, the reception processing unit 130 outputs the member number to the determination criterion data extraction unit 140. In addition, when an update request such as a size change request is attached to the membership number, the reception processing unit 130 updates the data in the corresponding customer DB 120a.

  Further, when the desired product information is given to the member number, the reception processing unit 130 outputs the member number and the desired product information to the customer service data generation unit 150. The desired product information includes the name, brand, size, season, etc. of the product that the customer wishes to purchase.

  The determination criterion data extraction unit 140 is a processing unit that generates determination criterion data 120c corresponding to the membership number. The processing of the determination reference data extraction unit 140 will be specifically described. The determination criterion data extraction unit 140 selects a corresponding row in the determination criterion DB 120b using the member number acquired from the reception processing unit 130 as a key.

  The criterion data extraction unit 140 finally selects a row that satisfies all the following conditions 1 and 2 among the selected rows. Condition 1 is included in one month before and after the reference date and is the latest month. Condition 2 is that the priority is a priority lower than a numerical value obtained by multiplying the value of the maximum priority among the priority orders included in the row by a factor of 1/2. In other words, those with a priority less than the lower half are not applicable to condition 2. The reference date is set as appropriate. Conditions 1 and 2 are only examples.

  The determination criterion data extraction unit 140 generates the determination criterion data 120c by extracting data of rows that satisfy the conditions 1 and 2. FIG. 6 is a diagram illustrating an example of a data structure of the determination criterion data. The determination criterion data 120c in FIG. 6 is data that satisfies the conditions 1 and 2 in the determination criterion DB 120b illustrated in FIG. Note that if there is no row satisfying the conditions 1 and 2, the criterion data 120c is blank.

  The customer service data generation unit 150 is a processing unit that generates the customer service data 120e. The customer service data generation unit 150 compares the desired product information and the determination reference data 120c with the product master 120d, and selects a line that hits the desired product information or a line that hits the attribute of the determination reference data. Then, the customer service data generating unit 150 generates customer service data 120e based on the selected row.

  FIG. 7 is a diagram illustrating an example of the data structure of the customer service data of the server. As shown in FIG. 7, the customer service data 120e includes a membership number, a product code, a product name, a brand, a size, and a season. The customer service data 120e includes a shape, a color pattern, a material, and a visit date. For example, the date when the customer service data 120e is generated is registered as the date of visit.

  The attribute number management table generation unit 155 is a processing unit that generates the attribute management table 120f by aggregating the number of attributes for each attribute type based on the attributes of each piece of product information included in the customer service data 120e. is there. FIG. 8 is a diagram illustrating an example of the data structure of the attribute number management table. As shown in FIG. 8, the attribute number management table 120f stores the aggregation results for each attribute. For example, the single is “4”. This indicates that among the product information included in the customer service data 120e, there are four pieces of product information whose attributes are single.

  The notification unit 160 is a processing unit that notifies the terminal device 200 of the determination reference data 120c, the customer service data 120e, the product image data corresponding to the product number of the customer service data 120e, and the attribute number management table 120f. The notification unit 160 acquires the product image data from the product master 120d using the product code included in the customer service data 120e as a key.

  The determination criterion DB management unit 170 is a processing unit that updates the determination criterion DB 120 b when the updated determination criterion data is acquired from the terminal device 200. The updated criterion data is referred to as update data. The determination criterion DB management unit 170 updates the update data.

  Note that, when the data corresponding to the update data does not exist in the determination criterion DB 120b, the determination criterion DB management unit 170 may additionally register the data corresponding to the update data in the determination criterion DB 120b.

  Next, the configuration of the terminal device 200 shown in FIG. 2 will be described. FIG. 9 is a functional block diagram illustrating a configuration of the terminal device. As illustrated in FIG. 9, the terminal device 200 includes a card information reading unit 210, an interface unit 220, a touch panel 230, a storage unit 240, a communication unit 250, a display processing unit 260, an attribute number calculation unit 270, and a determination reference data update unit. 280.

  The card information reading unit 210 is a processing unit that reads a membership number included in a membership card. For example, the card information reading unit 210 corresponds to a card reader or the like.

  The interface unit 220 is a processing unit that performs data communication with the server 100. For example, the interface unit 210 corresponds to a network communication card or a communication device.

  The touch panel 230 is a device that displays product information and the like output from the display processing unit 260 and receives an operation of the operator. In addition, the customer operates the touch panel 230 to sequentially move product information that does not match his / her preference to the trash bin and leave the product information that matches his / her preference, thereby determining a product to be purchased. .

  The storage unit 240 stores customer service data 240a, determination reference data 240b, product image data 240c, and an attribute number management table 240d. The storage unit 240 corresponds to, for example, a semiconductor memory device such as a RAM, a ROM, or a flash memory, or a storage device such as a hard disk or an optical disk.

  The customer service data 240a is data including product information that meets customer preferences, and corresponds to the customer service data 120e shown in FIG. The customer service data 240a stores various data in association with the customer service data 120e. FIG. 10 is a diagram illustrating an example of a data structure of customer service data of the terminal device. As shown in FIG. 10, the customer service data 240a stores a member number, a product code, a product name, a brand, a size, a season, various attributes, a visit date, a display time, a rejection time, and a resurrection time in association with each other. Various attributes include type, sleeve length, color, pattern, and material.

  Among these, the member number, product code, various attributes, and date of visit store the same information as the member number, product code, various attributes, and date of visit of the customer service data 120e notified from the server 100.

  The display time, rejection time, and recovery time are assumed to be blank. The display processing unit 260 (to be described later) executes various processes, so that values are registered in the display time, the rejection time, and the recovery time.

  The display time indicates the time when the product information is displayed on the touch panel 230. The rejection time indicates the time when the product information displayed on the touch panel 230 is moved to the trash box. The resurrection time indicates the time when the product information in the trash can is restored.

  The determination criterion data 240b is data corresponding to the determination criterion data 120c shown in FIG. The determination reference data 240 b is updated by a determination reference data update unit 280 described later and transmitted to the server 100.

  The product image data 240c is data transmitted from the server 100. For example, in the product image data 240c, a product code and product image data are associated with each other.

  The attribute number management table 240d corresponds to the attribute number management table 120f shown in FIG.

  When the communication unit 250 acquires the member number from the card information reading unit 210, the communication unit 250 notifies the server 100 of the member number. When the communication unit 250 receives a size change request from the touch panel 230 or the like, the communication unit 250 notifies the server 100 of the member number and the size change request. Further, when receiving the desired product information from the touch panel 230, the communication unit 250 notifies the server 100 of the member number and the desired product information.

  In addition, when the communication unit 250 acquires the customer service data, the determination reference data, the product image data, and the attribute number management table from the server 100, the acquired customer service data, the determination reference data, the product image data, and the attribute number management table. Is stored in the storage unit 240.

  The display processing unit 260 is a processing unit that performs display control of the touch panel 230. The display processing unit 260 displays product information on the touch panel 230, processing when the product information displayed on the touch panel 230 is moved to the trash, and processing when the product information in the trash is restored. I do. In addition, the display processing unit 260 performs processing associated with the product information that remains without being moved to the trash box.

  First, processing for displaying product information on the touch panel 230 will be described. The display processing unit 260 acquires the product image of the product code included in the customer service data 240a from the product image data 240c, and causes the touch panel 230 to display the acquired product image data 240c. And the display process part 260 records the display time which displayed merchandise information in the customer service data 240a. In addition, the display process part 260 shall acquire the present time information from a timer.

  Processing of the display processing unit 260 when the product information displayed on the touch panel 230 is moved to the trash can will be described. This corresponds to processing when the customer operates the touch panel 230 and drags unnecessary product information to the trash box. The display processing unit 260 refers to the customer service data 240a and records the current time as a rejection time corresponding to the product information moved to the trash box. In addition, the display processing unit 260 displays the corresponding product information in which the product information moved to the trash bin is shaded at a position on the touch panel 230 that is arranged before being moved to the trash bin.

  The processing of the display processing unit 260 when the product information in the trash box returns to the original will be described in order. The display processing unit 260 cancels the shading of the corresponding product information. In addition, the display processing unit 260 records the current time as the restoration time of the customer service data 240a. In addition, the display processing unit 260 additionally creates information corresponding to the returned merchandise information in the customer service data 240a, and clears the rejection time.

  The processing of the display processing unit 260 for the product information remaining without being moved to the trash can will be described. The display processing unit 260 determines that the product information on the screen that is not shaded is a purchased product.

  The attribute number calculation unit 270 is a processing unit that sequentially subtracts the number of attributes corresponding to attributes included in unnecessary product information in the order in which unnecessary product information is selected. Specifically, the processing of the attribute number calculation unit 270 will be described. First, the attribute number calculation unit 270 sorts the rows of the customer service data 240a in ascending order based on the rejection time of the customer service data 240a.

  FIG. 11 is a diagram illustrating an example of customer service data rearranged in ascending order. Since the customer service data shown in FIG. 11 is arranged in ascending order, the product information on the top indicates that it has been selected as unnecessary product information earlier. The attribute number calculation unit 270 refers to the customer service data 240a shown in FIG. 11 and the attribute number management table 240d, and sequentially subtracts the attribute numbers in the attribute number management table 240d. As shown below, the attribute number calculation unit 270 specifies the attribute of the product information in order from the first stage of the customer service data 240a, and subtracts the attribute number corresponding to the specified attribute by one.

  FIG. 12 is a diagram illustrating changes in the number of attributes for each attribute. The attributes of the first-stage product information in FIG. 11 are type “single”, sleeve length “short sleeve”, color “gray”, pattern “plain”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “single”, “short sleeve”, “gray”, “plain”, and “cotton” in FIG. 12 (step S10).

  The attributes of the product information in the second row in FIG. 11 are a type “double”, a sleeve length “short sleeve”, a color “gray”, a pattern “plain”, and a material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “short sleeve”, “gray”, “plain color”, and “cotton” in FIG. 12 (step S11).

  The attributes of the product information in the third row in FIG. 11 are type “double”, sleeve length “short sleeve”, color “gray”, pattern “plain”, and material “hemp”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “short sleeve”, “gray”, “plain”, and “hemp” in FIG. 12 (step S12). At the time of step S12, the number of short sleeve attributes is zero.

  The attributes of the product information in the fourth row in FIG. 11 are type “single”, sleeve length “long sleeve”, color “gray”, pattern “plain”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “single”, “long sleeve”, “gray”, “plain color”, and “cotton” in FIG. 12 (step S13).

  The attributes of the product information in the fifth row in FIG. 11 are type “single”, sleeve length “long sleeve”, color “gray”, pattern “plain”, and material “hemp”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “single”, “long sleeve”, “gray”, “plain color”, and “hemp” in FIG. 12 (step S14). At the time of step S12, the number of single attributes becomes zero.

  The attributes of the product information in the sixth row in FIG. 11 are type “single”, sleeve length “long sleeve”, color “black”, pattern “plain”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “single”, “long sleeve”, “black”, “plain”, and “cotton” in FIG. 12 (step S15).

  The attributes of the product information in the seventh row in FIG. 11 are type “double”, sleeve length “long sleeve”, color “black”, pattern “plain”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “long sleeve”, “black”, “plain”, and “cotton” in FIG. 12 (step S16). At the time of step S16, the number of black attributes becomes zero.

  The attributes of the product information in the eighth row in FIG. 11 are type “double”, sleeve length “long sleeve”, color “light blue”, pattern “stripe”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “long sleeve”, “light blue”, “stripe”, and “cotton” in FIG. 12 (step S17).

  The attributes of the product information in the ninth row in FIG. 11 are type “double”, sleeve length “long sleeve”, color “pink”, pattern “stripe”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “long sleeve”, “pink”, “striped”, and “cotton” in FIG. 12 (step S18).

  The attributes of the product information in the 10th row of FIG. 11 are type “double”, sleeve length “long sleeve”, color “pink”, pattern “stripes”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “long sleeve”, “pink”, “striped”, and “cotton” in FIG. 12 (step S19). At step S19, the number of pink attributes is zero.

  The attributes of the product information on the eleventh row in FIG. 11 are type “double”, sleeve length “long sleeve”, color “gray”, pattern “stripes”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “long sleeve”, “gray”, “striped”, and “cotton” in FIG. 12 (step S20). At the time of step S20, the number of stripe attributes becomes zero.

  The attributes of the product information in the 12th row in FIG. 11 are type “double”, sleeve length “long sleeve”, color “light blue”, pattern “plain”, and material “hemp”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “long sleeve”, “light blue”, “plain color”, and “cotton” in FIG. 12 (step S21). At the time of this step S21, the number of hemp attributes becomes zero.

  The attributes of the product information on the 13th row in FIG. 11 are type “double”, sleeve length “long sleeve”, color “gray”, pattern “plain”, and material “synthetic fiber”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “long sleeve”, “gray”, “plain”, and “synthetic fiber” in FIG. 12 (step S22). At the time of step S22, the number of attributes of the synthetic fiber becomes zero.

  The attributes of the product information in the 14th row in FIG. 11 are type “double”, sleeve length “long sleeve”, color “gray”, pattern “plain”, and material “cotton”. Therefore, the attribute number calculation unit 270 subtracts 1 from the numerical values of the attributes “double”, “long sleeve”, “gray”, “plain”, and “cotton” in FIG. 12 (step S23). At the time of step S23, the number of attributes of double, long sleeve, gray, plain, and cotton becomes zero. The attribute number calculation unit 270 notifies the determination reference data update unit 280 of the processing result shown in FIG.

  The determination reference data update unit 280 is a processing unit that determines the priority order of attributes based on the processing result of the attribute number calculation unit 270 and updates the determination reference data based on the determined priority order. The determination reference data update unit 280 is an example of a priority order determination unit.

  The determination reference data update unit 280 determines an attribute whose number of attributes becomes 0 earlier as an attribute that does not match the customer's preference, and sets a larger value as a priority. However, when the remaining attribute whose number of attributes is not 0 among the attributes included in the same category becomes one type, the determination reference data update unit 280 temporarily excludes the remaining attributes from the priority determination target. To do. For example, single and double belong to the same category “type”. Short sleeves and long sleeves belong to the same category “sleeve length”. Gray, black, light blue, and pink belong to the same category “color”. Solid colors and stripes belong to the same category “pattern”. Cotton, hemp, and synthetic fibers belong to the same category “material”.

  In step S12 of FIG. 12, the number of short sleeve attributes is initially zero. The criterion data updating unit 280 sets the numerical value of the priority order of the attribute “short sleeve” to the maximum value. In the category “sleeve length”, since there is only one attribute whose number of attributes is not 0, “long sleeve” is temporarily excluded.

  In step S15 of FIG. 12, the number of “single” attributes is zero. The criterion data update unit 280 sets the numerical value of the priority of the attribute “single” to a value obtained by subtracting 1 from the maximum value. In the category “type”, since there is only one attribute whose number of attributes is not zero, “long sleeve” is temporarily excluded.

  In step S16 in FIG. 12, the number of attributes of “black” is zero. The determination reference data update unit 280 sets the numerical value of the priority order of the attribute “black” to a value obtained by subtracting 2 from the maximum value.

  In step S19 in FIG. 12, the number of “pink” attributes is zero. The criterion data update unit 280 sets the numerical value of the priority order of the attribute “pink” to a value obtained by subtracting 3 from the maximum value.

  In step S20 of FIG. 12, the number of attributes of “stripes” becomes zero. The criterion data update unit 280 sets the numerical value of the priority order of the attribute “pink” to a value obtained by subtracting 4 from the maximum value. In the category “pattern”, since there is one remaining attribute whose number of attributes is not 0, “plain” is temporarily excluded.

  In step S21 in FIG. 12, the number of attributes of “light blue” and “hemp” is zero. The determination reference data update unit 280 sets the numerical value of the priority order of the attributes “light blue” and “hemp” to a value obtained by subtracting 5 from the maximum value. In the category “color”, since there is only one attribute whose number of attributes is not 0, “gray” is temporarily excluded.

  In step S22 of FIG. 12, the number of attributes of “synthetic fiber” becomes zero. The criterion data 280 sets the numerical value of the priority of the attribute “synthetic fiber” to a value obtained by subtracting 6 from the maximum value. In the category “material”, there is only one attribute whose number of attributes is not 0, so “cotton” is temporarily excluded.

  Finally, the determination reference data update unit 280 determines the priority order of the attribute once excluded. Specifically, the criterion data update unit 280 sets priorities of the attributes “double”, “long sleeve”, “gray”, “plain”, and “cotton”. For example, the criterion data update unit 280 may set the priority order of the attributes included in the product information purchased by the customer to 1 and set the priority order of the remaining attributes to 2.

  Alternatively, the determination criterion data update unit 280 may acquire attribute information input when a customer purchases a product from the touch panel 230 and specify the priority order in the acquired order. For example, if the attributes are input in the order of the attributes “double”, “long sleeve”, “gray”, “plain”, “cotton”, the criterion data update unit 280 determines that the attributes “double”, “long sleeve”, The priority of “plain” and “cotton” is 1, 2, 3, 4 respectively. The criterion data update unit 280 updates the criterion data 240b according to the relationship between the obtained attribute and priority.

  FIG. 13 is a diagram illustrating an example of a data structure of the updated criterion data. When the determination reference data update unit 280 executes the above processing, for example, as illustrated in FIG. 13, the priority of the attribute “short sleeve” is “9”, and the priority of the attribute “single” is “8”. Become.

  In addition, the priority of the attribute “black” is “7”, the priority of the attribute “pink” is “6”, and the priority of the attribute “stripes” is “7”. The priority of the attributes “light blue” and “hemp” is “4”, the priority of the attribute “synthetic fiber” is “3”, the priority of the attributes “gray” and “cotton” is “2”, and the attribute “double” ”And“ Long Sleeve ”are given priority“ 1 ”.

  The determination criterion data update unit 280 transmits the updated determination criterion data 240b to the server 100.

  Next, a processing procedure of the product sales support system according to the present embodiment will be described. FIG. 14 is a flowchart illustrating the processing procedure of the merchandise sales support system according to the present embodiment. The process illustrated in FIG. 14 is executed, for example, when the server 100 acquires a membership number. The server 100 acquires the membership number (step S101), and updates the customer DB 120a when the size change request is acquired (step S102).

  The server 100 executes determination criterion data extraction processing (step S103), and acquires desired product information desired by the customer (step S104). The server 100 executes customer service data generation processing (step S105), and transmits the customer service data, the determination reference data, the product image data, and the attribute number management table to the terminal device 200 (step S106).

  The terminal device 200 receives the customer service data, the judgment reference data, the product image data, and the attribute number management table (step S107), and displays the product included in the customer service data (step S108). The terminal device 200 records the display time for the displayed product (step S109).

  If the purchased product has not been determined (No at Step S110), the terminal device 200 executes a customer service data update process (Step S111), and proceeds to Step S110. On the other hand, when the purchased product is determined (step S110, Yes), the terminal device 200 executes the priority order update process (step S112).

  The terminal device 200 executes determination criterion data update processing (step S113), and transmits the updated determination criterion data to the server 100 (step S114).

  The server 100 receives the updated determination criterion data (step S115), and updates the determination criterion DB 120b (step S116).

  Next, the processing procedure of the criterion data extraction process shown in step S103 of FIG. 14 will be described. FIG. 15 is a flowchart illustrating a processing procedure of the determination criterion data extraction process. As shown in FIG. 15, the server 100 initializes the judgment reference data 120c (step S201), and searches the judgment reference DB 120b based on the membership number (step S202).

  When the information corresponding to the member number does not exist in the determination criterion DB 120b (No at Step S203), the server 100 ends the process. On the other hand, when the product information corresponding to the member number exists (step S203, Yes), the server 100 searches for judgment reference data of “month” for one month before and after the reference date (step S204).

  If the determination reference data does not exist (step S205, No), the server 100 ends the process. On the other hand, when the criterion data exists (step S205, Yes), the server 100 extracts the criterion data of the latest month (step S206).

  Next, the procedure of the customer service data generation process shown in step S105 of FIG. 14 will be described. FIG. 16 is a flowchart showing a processing procedure of customer service data generation processing. As shown in FIG. 16, the server 100 extracts product information from the product master 120d based on the product information desired by the customer and the customer DB 120a, and generates customer service data (step S301).

  If there is no information in the determination criterion data 120c (No at Step S302), the server 100 proceeds to Step S310. On the other hand, when the information exists in the determination criterion data 120c (step S302, Yes), the server 100 sets a priority for the customer service data based on the determination criterion data 120c (step S303).

  The server 100 sets a value that is ½ of the lowest priority among the priorities of the criterion data 120c as a non-target value (step S304), and selects one piece of information of the customer service data 120e (step S305). ).

  When the priority value is larger than the non-target value (Yes at Step S306), the server 100 deletes the selected information (Step S307), and subtracts 1 from each priority of the customer service data (Step S308). ), The process proceeds to step S305.

  On the other hand, if the priority value is not greater than the non-target value (No at Step S306), the server 100 determines whether all have been selected (Step S309). If not all have been selected (step S309, No), the server 100 proceeds to step S305. On the other hand, when all are selected (step S309, Yes), the server 100 generates an attribute number management table (step S310).

  Next, the procedure of the customer service data update process shown in step S111 of FIG. 14 will be described. FIG. 17 is a flowchart showing a processing procedure for customer service data update processing. As shown in FIG. 17, when the product information on the screen is moved to the trash box (step S401, Yes), the terminal device 200 refers to the customer service data 240a and corresponds to the product information moved to the trash box. The current time is set as the rejection time (step S402).

  The terminal device 200 shades and displays the product information on the screen corresponding to the product information moved to the trash box (step S403).

  On the other hand, when the product information on the screen has not been moved to the trash box (No at Step S401), the terminal device 200 determines whether the product information has been returned from the trash box (Step S404). When the product information is returned from the trash box (Yes in Step S404), the terminal device 200 cancels the shaded display (Step S405), and sets the current time as the restoration time of the customer service data 240a ( Step S406). Then, the terminal device 200 additionally creates information corresponding to the returned merchandise information in the customer service data 240a, clears the rejection time (step S407), and ends the process.

  On the other hand, when the product information has not been restored from the trash box (step S404, No), the terminal device 200 determines the product information on the screen that is not shaded as purchased product information ( Step S408), the process is terminated.

  Next, the processing procedure of the priority order update process shown in step S112 of FIG. 14 will be described. FIG. 18 is a flowchart showing a processing procedure of priority order update processing. As shown in FIG. 18, the terminal device 200 refers to the customer service data 240a, deletes information having a resurrection time larger than the rejection time (step S501), and arranges the customer service data so that the rejection times are in ascending order. Change (step S502).

  If it is not the last data (step S503, No), the terminal device 200 subtracts 1 from the number of attributes corresponding to the attribute of the customer service data 240a (step S504), and determines whether the number of attributes is 0 or not. Determination is made (step S505).

  If the number of attributes is not 0 (step S505, No), the terminal device 200 proceeds to step S503. On the other hand, when the number of attributes is 0 (step S505, Yes), the terminal device 200 sets the priority order of attributes with the number of attributes being 0 (step S506).

  The terminal device 200 proceeds to step S503 when there is no remaining attribute in the same category where the number of attributes is not 0 (No in step S507). On the other hand, if the terminal device 200 has one remaining attribute in the same category where the number of attributes is not zero (step S507, Yes), the terminal device 200 excludes the corresponding attribute from the target (step S508), and step S503. Migrate to

  By the way, when the data is the last (step S503, Yes), the priority order of the attribute that has not been selected is set (step S509), and the process ends.

  Next, the effect of the product sales support system according to the present embodiment will be described. According to the product sales support system, the terminal device 200 sequentially subtracts the number of attributes corresponding to the attributes included in the unnecessary product information in the order in which the unnecessary product information is selected. Then, the terminal device 200 determines that the attribute whose number of attributes has become 0 earlier is an attribute that does not match the taste of the customer, and sets the priority to the attribute. By using the priority order of these attributes, it is possible to present products that meet customer preferences. Further, even when the number of product information is small, the priority order can be set.

  Also, according to the product sales support system, the terminal device 200 displays product information that does not have an attribute that does not match the customer's preference among the plurality of product information, so that the customer can comfortably select the product. .

  Also, according to the product sales support system, when the number of attributes that are not zero among the attributes of the same category becomes one, the terminal device 200 sets the attribute to a customer's preference. Therefore, it is possible to determine an attribute that matches the taste of the customer earlier.

  By the way, each component of the server 100 and the terminal device 200 is functionally conceptual and does not necessarily need to be physically configured as illustrated. In other words, the specific forms of distribution and integration of the server 100 and the terminal device 200 are not limited to those shown in the drawings, and all or a part of them can be functionally or physically processed in arbitrary units according to various loads and usage conditions. Can be distributed and integrated. For example, the terminal device 200 does not necessarily have the card information reading unit 210. For example, the terminal device 200 may obtain a member number or the like from an external device having a card information reading unit function.

  Further, by adding the function of the processing unit included in the terminal device 200 to the server 100, the server 100 may present the product information to the customer. For example, the server 100 may have the functions of the display processing unit 260, the attribute number calculation unit 270, and the determination reference data update unit 280, and may cause the terminal device 200 connected to the network to present product information. And the server 100 may collect the information regarding operation of the touch panel 230 by a customer, and may update the criteria data 240b.

  Further, in the process of subtracting the number of attributes, the terminal device 200 sets the priority order of attributes based on whether or not the number of attributes has become 0, but the present invention is not limited to this. . For example, the priority order of attributes may be set based on whether or not the number of attributes is less than N. However, N is a natural number.

  Here, an example of a computer that executes a product sales support program that realizes the same function as the processing performed by the terminal device 200 illustrated in FIG. 9 will be described. FIG. 19 is a diagram illustrating an example of a computer that executes a product sales support program.

  As illustrated in FIG. 19, the computer 300 includes a CPU 301 that executes various arithmetic processes, an input device 302 that receives input of data from a user, and a display 303. The computer 300 includes a medium reading device 304 that reads a program and the like from a storage medium, and a network interface device 305 that exchanges data with other computers via a network. The computer 300 also includes a RAM 306 that temporarily stores various types of information and a hard disk device 307. The devices 301 to 307 are connected to the bus 308.

  The hard disk device 307 stores an attribute number calculation program 307a and a priority order determination program 307b. The CPU 301 reads the programs 307 a and 307 b from the hard disk device 307 and expands them in the RAM 306. The attribute number calculation program 307a functions as the attribute number calculation process 306a. The priority determination program 307b functions as a priority determination process 306b.

  For example, the attribute number calculation process 306 a corresponds to the attribute number calculation unit 270. The priority order determination process 306 b corresponds to the determination reference data update unit 260.

  Note that the programs 307a and 307b are not necessarily stored in the hard disk device 307 from the beginning. For example, each program is stored in a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, and an IC card inserted into the computer 300. Then, the computer 300 may read and execute each program from these.

  The processing units 130 to 170 and 250 to 260 illustrated in FIGS. 2 and 9 correspond to integrated devices such as an ASIC (Application Specific Integrated Circuit) and an FPGA (Field Programmable Gate Array). Moreover, each process part 130-170, 250-260 respond | corresponds to electronic circuits, such as CPU and MPU (Micro Processing Unit), for example.

  The following supplementary notes are further disclosed with respect to the embodiments including the above examples.

(Additional remark 1) The memory | storage part which memorize | stores the attribute number management table which matched the attribute for every category contained in several goods information, and the number of this attribute,
An attribute number calculation unit that sequentially subtracts the number of attributes in the attribute number management table corresponding to attributes included in unnecessary product information in the plurality of product information in the order in which the unnecessary product information is selected. When,
The attribute with the number of attributes less than the predetermined number is determined as the attribute of the product not satisfying the customer's preference, and based on the determination result and the order of the attributes with the number of attributes being less than the predetermined number, A product sales support apparatus comprising: a priority order determination unit that determines priority order.

(Supplementary note 2) The product sales support apparatus according to supplementary note 1, further comprising: a display processing unit that displays merchandise information that does not have an attribute that does not match the customer's preference among a plurality of merchandise information.

(Additional remark 3) When the number of attributes more than the predetermined number becomes one among the attributes of the same category among the attributes of the same category, the attribute is determined as an attribute of a product that suits the taste of the customer. The merchandise sales support apparatus according to appendix 1 or 2, wherein the display processing unit displays a merchandise having a merchandise attribute that matches a customer preference among a plurality of merchandise information.

(Supplementary Note 4) A product sales support method executed by a computer,
With reference to a storage device that stores an attribute number management table in which attributes for each category included in a plurality of product information are associated with the number of the attributes,
The number of attributes in the attribute number management table corresponding to attributes included in unnecessary product information in the plurality of product information is sequentially subtracted in the order in which the unnecessary product information is selected,
The attribute with the number of attributes less than the predetermined number is determined as the attribute of the product not satisfying the customer's preference, and based on the determination result and the order of the attributes with the number of attributes being less than the predetermined number, A merchandise sales support method characterized by determining priority.

(Additional remark 5) The merchandise sales support method of Additional remark 4 characterized by displaying the merchandise information which does not have the attribute which does not match the said customer's preference among several merchandise information on a display apparatus.

(Supplementary note 6) When the number of attributes in the same category becomes one attribute greater than a predetermined number, the attribute is determined as an attribute of the product that matches the customer's preference, and a plurality of product information Of these, the merchandise sales support method according to appendix 4 or 5, wherein merchandise having merchandise attributes that match customer preferences is displayed.

(Appendix 7)
With reference to a storage device that stores an attribute number management table in which attributes for each category included in a plurality of product information are associated with the number of the attributes,
The number of attributes in the attribute number management table corresponding to attributes included in unnecessary product information in the plurality of product information is sequentially subtracted in the order in which the unnecessary product information is selected,
The attribute with the number of attributes less than the predetermined number is determined as the attribute of the product not satisfying the customer's preference, and based on the determination result and the order of the attributes with the number of attributes being less than the predetermined number, A product sales support program for executing a process for determining priority.

(Additional remark 8) The merchandise sales support program of Additional remark 7 which further performs the process which displays the merchandise information which does not have the attribute which does not match the customer's preference among several merchandise information on a display apparatus .

(Supplementary Note 9) If the number of attributes in the same category is greater than a predetermined number, the attribute is determined as an attribute of the product that matches the customer's preference, and a plurality of product information Of these, the product sales support program according to appendix 7 or 8, characterized in that a product having a product attribute that suits the taste of the customer is displayed.

DESCRIPTION OF SYMBOLS 50 Network 100 Server 200 Terminal device 210 Card information reading part 220 Interface part 230 Touch panel 240 Storage part 250 Communication part 260 Display processing part 270 Attribute number calculation part 280 Judgment reference data update part

Claims (5)

A storage unit for storing an attribute number management table in which attributes for each category included in a plurality of product information are associated with the number of attributes;
An attribute number calculation unit that sequentially subtracts the number of attributes in the attribute number management table corresponding to attributes included in unnecessary product information in the plurality of product information in the order in which the unnecessary product information is selected. When,
The attribute with the number of attributes less than the predetermined number is determined as the attribute of the product not satisfying the customer's preference, and based on the determination result and the order of the attributes with the number of attributes being less than the predetermined number, A product sales support apparatus comprising: a priority order determination unit that determines priority order.   The merchandise sales support apparatus according to claim 1, further comprising a display processing unit that displays merchandise information that does not have an attribute that does not match the customer's preference among a plurality of merchandise information. The priority determining unit determines that the attribute is the attribute of the product that matches the taste of the customer when the number of attributes is one greater than a predetermined number among the attributes of the same category, The merchandise sales support apparatus according to claim 2 , wherein the display processing unit displays merchandise having a merchandise attribute that matches a customer's preference among a plurality of merchandise information. A product sales support method executed by a computer,
With reference to a storage device that stores an attribute number management table in which attributes for each category included in a plurality of product information are associated with the number of the attributes,
The number of attributes in the attribute number management table corresponding to attributes included in unnecessary product information in the plurality of product information is sequentially subtracted in the order in which the unnecessary product information is selected,
The attribute with the number of attributes less than the predetermined number is determined as the attribute of the product not satisfying the customer's preference, and based on the determination result and the order of the attributes with the number of attributes being less than the predetermined number, A merchandise sales support method characterized by determining priority. On the computer,
With reference to a storage device that stores an attribute number management table in which attributes for each category included in a plurality of product information are associated with the number of the attributes,
The number of attributes in the attribute number management table corresponding to attributes included in unnecessary product information in the plurality of product information is sequentially subtracted in the order in which the unnecessary product information is selected,
The attribute with the number of attributes less than the predetermined number is determined as the attribute of the product not satisfying the customer's preference, and based on the determination result and the order of the attributes with the number of attributes being less than the predetermined number, A product sales support program for executing a process for determining priority.

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