JP6164993B2 - Evaluation system, evaluation program, and evaluation method - Google Patents

Description

  The present invention relates to an evaluation system, an evaluation program, and an evaluation method.

  2. Description of the Related Art Conventionally, a technique is known in which a customer's behavior is grasped in a store and a sales opportunity loss of a product is measured (see, for example, Patent Documents 1 and 2).

JP 2001-331875 A International Publication No. 2005/111880

  In stores (such as department stores) where sales customers interact with customers and sell products, it is considered that sales customer behaviors are related to lost sales opportunities as well as customer behaviors. However, in the above Patent Documents 1 and 2, etc., the behavior of the sales customer is not taken into consideration.

  In one aspect, an object of the present invention is to provide an evaluation system, an evaluation program, and an evaluation method capable of appropriately performing evaluation related to sales opportunity loss.

In one aspect, the evaluation system is present in the store at a predetermined time zone, a sales customer position detection device that detects the position of the sales customer in the store, a customer position detection device that detects the position of the customer in the store, and Based on the position of the sales customer in the store and the position of the customer in the store in the predetermined time zone, the sales customer in the store in the predetermined time zone can receive the customer Sales in the predetermined time zone are calculated based on a value obtained by dividing the number of customers existing in the store in the predetermined time zone by the customer serviceable time. And a processing device that performs evaluation on opportunity loss.

In one aspect, the evaluation program is based on the in-store position of the sales customer who existed in the store in a predetermined time zone and the in-store position of the customer in the store in the predetermined time zone, The customer serviceable time that the customer who was in the store in the predetermined time zone was able to serve the customer but was not in service was calculated, and the number of customers that were present in the store in the predetermined time zone was calculated. It is a program for causing a computer to execute a process of evaluating a sales opportunity loss in the predetermined time zone based on a value divided by a serviceable time .

In one aspect, the evaluation method is based on the in-store position of the sales customer who existed in the store in a predetermined time zone, and the in-store position of the customer in the store in the predetermined time zone, A step of calculating a serviceable time during which the sales customer who was present in the store in the predetermined time zone was able to serve the customer but was not in service, and the number of customers present in the store during the predetermined time zone An evaluation method in which a computer executes a step of evaluating a sales opportunity loss in the predetermined time zone based on a value obtained by dividing a customer serviceable time by the customer serviceable time .

  Appropriate assessment of lost sales opportunities can be made.

It is a figure showing roughly the composition of the evaluation system concerning one embodiment. It is a figure which shows the hardware constitutions of information processing apparatus. It is a functional block diagram of an information processor. 4A is a diagram showing the data structure of the sales performance table, FIG. 4B is a diagram showing the data structure of the sales customer movement trajectory table, and FIG. 4C is the customer movement. It is a figure which shows the data structure of a locus | trajectory table. It is a flowchart which shows the calculation process of a sales opportunity loss expected value. It is an example of the top view in a sales floor. It is a figure which shows an example of a work condition time series table. FIG. 8A is a diagram showing an example of obtaining the distance between the sales customer and the customer, and FIG. 8B is a graph showing the change in the distance between the sales customer and the customer in FIG. It is. FIG. 9A is a graph showing a change in the distance of the sales customer from the center of the backyard, and FIG. 9B is a graph showing a change in the distance of the sales customer from the counter. (C) is a graph which shows the change of the distance from a sales customer's cash register. FIG. 10A is a graph showing a change in the expected sales opportunity loss value, FIG. 10B is a graph showing a change in the number of customers, and FIG. 10C is a change in the backyard residence time. FIG. 10D is a graph showing the change in the counter time, and FIG. 10E is a graph showing the change in the registration time. It is a flowchart which shows a factor analysis process. It is a figure for demonstrating the process of step S72 of FIG. It is a figure which shows an example of the information which an output part outputs.

  Hereinafter, an evaluation system according to an embodiment will be described in detail with reference to FIGS. FIG. 1 schematically shows a configuration of an evaluation system 100 according to an embodiment. The evaluation system 100 detects the position of the sales customer and customer in the store of the store such as a department store, and evaluates the sales opportunity loss by the sales customer based on the detection result and the sales information of the product. The system to execute. The evaluation regarding the sales opportunity loss by the customer service representative includes calculation of the degree of loss of the sales opportunity (sales opportunity loss expected value) and analysis of the factor that causes the high sales opportunity loss expectation value.

  As shown in FIG. 1, the evaluation system 100 includes a sales customer position detection device 20, a customer position detection device 30, a cash register terminal 40, an information processing device 10 as a processing device, a user terminal 50, and a management. A terminal 60. Each unit of the evaluation system 100 is connected to a network 80 such as the Internet or a LAN (Local Area Network).

  The sales customer position detection device 20 is a device that detects the position of the sales customer in the sales floor. For example, the sales customer position detection device 20 includes a plurality of WiFi base stations provided in the sales floor and terminals held by each sales customer, and the communication strength between the WiFi base station and the terminals is increased. Based on this, the position of the sales customer in the sales floor is detected. In addition, the detection result by the sales customer position detecting device 20 is transmitted to the information processing device 10.

  The customer position detection device 30 is a device that detects the position of a customer in the sales floor, and has a plurality of laser sensors as an example. The customer position detection device 30 can track a change in position from a certain customer entering the sales area to the exit. Note that the detection result by the customer position detection device 30 is transmitted to the information processing device 10.

  Note that the sales customer position detecting device 20 and the customer position detecting device 30 are not limited to the above configuration, and other devices capable of detecting a position (for example, a device using a camera) may be employed.

  The cash register terminal 40 accumulates data relating to the sales of the product and transmits the data to the information processing apparatus 10. The data relating to the sales of the product includes information on the product (name and price), sales time, information on the sales customer who sold the product (name, etc.), and the like.

  The information processing apparatus 10 is an apparatus that obtains data from the sales customer position detection device 20, the customer position detection device 30, and the cash register terminal 40, processes the data, and executes an evaluation on a sales opportunity loss by the sales customer. .

  FIG. 2 schematically shows the hardware configuration of the information processing apparatus 10. As shown in FIG. 2, the information processing apparatus 10 includes a CPU 90, a ROM 92, a RAM 94, a storage unit (here, HDD (Hard Disk Drive)) 96, a network interface 97, a portable storage medium drive 99, and the like. Each component of the information processing apparatus 10 is connected to the bus 98. In the information processing apparatus 10, the CPU 90 executes a program (evaluation program) stored in the ROM 92 or the HDD 96 or a program (evaluation program) read from the portable storage medium 91 by the portable storage medium drive 99. The function of each part of FIG. 3 is implement | achieved.

  FIG. 3 shows a functional block diagram of the information processing apparatus 10. As illustrated in FIG. 3, in the information processing apparatus 10, functions as the data collection unit 12, the analysis unit 14, and the output unit 16 are realized by the CPU 90 executing a program. FIG. 3 also shows a sales record table 72 as a storage device stored in the HDD 96 or the like, a sales customer movement trace table 74, a customer movement trace table 76, and a work status time series table 78.

  The data collection unit 12 collects data from the sales customer position detection device 20, the customer position detection device 30, and the cash register terminal 40, and stores them in the sales record table 72, the sales customer movement locus table 74, and the customer movement locus table 76. To do.

  Here, the sales record table 72 has a data structure as shown in FIG. Specifically, the sales record table 72 includes “Receipt No.”, “Registration No.”, “Product Classification”, “Product Code”, “Product Name”, “Sales Time”, “Sales Amount”, “ Each field of “seller”. The “receipt No.” field stores the receipt identification number (serial number), and the “registration No.” field stores the cash register identification number. The “product classification” field stores the classification (Y-shirt, tie, etc.) of the product purchased by the customer, the “product code” field stores the product identification code, and the “product name” field. Stores the name of the product. The “sales time” field stores the time when the customer purchased the product (the time when the seller entered the product information), and the “sales amount” field stores the amount of the sold product. In the “sales” field, the name of the sales customer who sold the product is stored.

  The sales customer movement trajectory table 74 has a data structure as shown in FIG. Specifically, as shown in FIG. 4B, the sales customer movement trajectory table 74 has fields of “time” and “position”, and the position of each sales customer at each time ( (Position represented by X and Y coordinates). Note that the sales customer movement trajectory table 74 is prepared for each sales customer (FIG. 4B shows a table of the sales customer P).

  The customer movement trajectory table 76 has a data structure as shown in FIG. Specifically, as shown in FIG. 4C, the customer movement trajectory table 76 has fields of “time” and “position”, and the position (X, Y coordinate) of each customer at each time. Is stored). It is assumed that the customer movement trajectory table 76 is prepared for each sales customer (FIG. 4 (c) shows a table for customer K).

  Returning to FIG. 3, the analysis unit 14 uses the data stored in the sales record table 72, the sales customer movement trajectory table 74, and the customer movement trajectory table 76 to evaluate the sales opportunity loss by the sales customer. . The specific processing of the analysis unit 14 will be described later.

  The output unit 16 outputs the evaluation result of the analysis unit 14 to the user terminal 50.

  The user terminal 50 is, for example, a terminal such as a PC (Personal Computer) used by a person who manages a sales customer in a store, or a terminal used by a sales customer. The user terminal 50 is used for browsing the evaluation result of the analysis unit 14.

  The management terminal 60 is a terminal used by the administrator of the evaluation system 100 and is a terminal for setting various threshold values used in the processing of the analysis unit 14.

  Next, the process of the evaluation system 100 of this embodiment is demonstrated based on FIGS.

(Sales opportunity loss expected value calculation process)
First, the sales opportunity loss expected value calculation process executed by the analysis unit 14 will be described with reference to FIG. It is assumed that a store and a backyard as shown in FIG. 6 exist in the store, and a cash register and a counter are installed in the store.

  Note that the process in FIG. 5 is a process executed using data acquired during one day at night when the store is closed, for example.

  In the process of FIG. 5, first, in step S10, the analysis unit 14 selects the first time zone of the day. The time zone means a time width of 30 minutes or 1 hour.

  Next, in step S12, the analysis unit 14 selects the first sales customer among the sales customers present in the sales floor or the backyard.

  Next, in step S14, the analysis unit 14 creates a work situation time series table 78 of the selected sales customer regarding the selected time zone. Here, the work situation time series table 78 has a data structure as shown in FIG. Specifically, the work status time series table 78 includes information on the time (start time, end time, and time) during which “customer service” was performed, and “register”, “counter”, and “backyard”. Information of the time that was being performed (start time, end time, time) is stored. In addition, when working at the “register”, the product classification of the product sold at that time is also stored.

  Here, based on the position of the sales customer in the sales customer movement trajectory table 74 and the position of the customer in the customer movement trajectory table 76, the analysis unit 14 is in a state where the sales customer approaches the customer within a predetermined distance. It is determined that “customer service” has been performed when the above is maintained for a predetermined time or more. Specifically, as shown in FIG. 8A, the analysis unit 14 obtains the distance between the sales customer and the customer from the positional relationship between the sales customer and the customer at each time, and displays the distance between FIG. 8B and FIG. Graph as shown. Then, the analysis unit 14 determines that “customer service” has been performed when the distance between the sales customer service and the customer is maintained within a predetermined distance (dotted line) for a service determination time threshold or more.

  Further, the analysis unit 14 obtains a change in the distance from the center of the backyard as shown in FIG. 9A based on the position of the sales customer in the sales customer movement trajectory table 74, and the distance is calculated as follows. When a state smaller than a predetermined threshold (a line indicated by a one-dot chain line) continues for a predetermined time, it is determined that a sales customer is present in the backyard. Moreover, the analysis part 14 calculates | requires the change of the distance from a counter as shown in FIG.9 (b) based on the position of the sales customer in the sales customer movement locus | trajectory table 74, and the said distance is a predetermined threshold value ( When the state smaller than the line indicated by the alternate long and short dash line continues for a predetermined time, it is determined that the sales customer is working at the counter. Moreover, the analysis part 14 calculates | requires the change of the distance from a cash register, as shown in FIG.9 (c) based on the position of the sales customer in the sales customer movement locus | trajectory table 74, and the said distance is a predetermined threshold ( When the state smaller than the line indicated by the alternate long and short dash line continues for a predetermined time, it is determined that the sales customer is working at the cash register. Then, the analysis unit 14 stores the start time and end time of each state in the work situation time series table 78 and calculates the duration of each state (= end time−start time) to obtain the work situation time series table. It is stored in the “time” column of 78. Further, the analysis unit 14 acquires products sold within the time that the selected sales customer was working at the “register” from the sales performance table 72, and “sales product classification” in the work status time series table 78. Store in the column.

  Next, in step S <b> 16, the analysis unit 14 totals the customer service time (= SL) based on the work situation time series table 78. In this case, SL = L1 + L2 + L3 + L4 + L5 + L6 +... Is obtained as a counting result of the customer service time (SL).

  Next, in step S <b> 18, the analysis unit 14 adds up the registration time (R), the counter time (C), and the backyard time (B) based on the work situation time series table 78. Also in this case, R = R1 + R2 + R3 +... Is obtained as the counting result of the register time (R), C = C1 + C2 + C3 +... Is obtained as the counting result of the counter time (C), and the counting result of the backyard time (B). , B = B1 +...

Next, in step S20, the analysis unit 14 calculates a serviceable time. Here, the analysis part 14 calculates customer service possible time based on following Formula (1).
Customer service time = total work time-(SL + R + C + B) (1)

  The customer serviceable time means a time when the sales customer should have been able to serve customers but was not serving customers.

  Next, in step S24, the analysis unit 14 determines whether or not all sales customers have been processed. When judgment here is denied, it transfers to step S26, the analysis part 14 selects the next sales customer, and returns to step S14. Thereafter, the processing / determination in steps S14 to S26 is repeated, and the process proceeds to step S30 when the determination in step S24 is affirmed.

  In addition, in the stage which transfers to step S30, the customer serviceable time of all the sales customers in the selected time slot | zone is totaled.

  Next, in step S30, the analysis unit 14 totals the customer serviceable time of all the sales customers for the selected time zone. Hereinafter, the totaling result is referred to as “total customer serviceable time”.

Next, in step S32, the analysis unit 14 calculates a sales opportunity loss expected value. The expected sales opportunity loss value is calculated based on the following equation (2).
Expected sales opportunity loss value = number of customers ÷ total customer service available time (2)

  Here, the expected sales opportunity loss value increases as the number of customers increases when the total customer serviceable time is constant, and increases as the total customer serviceable time decreases when the number of customers is constant. In other words, the sales opportunity loss expectation value means the number of sales opportunities that can be increased if more time is spent on customer service.

  Next, in step S34, the analysis unit 14 determines whether or not the processing for all time periods has been completed. If the determination is negative, the process proceeds to step S36, and after the analysis unit 14 selects the next time zone, the process returns to step S12. After that, the processing / judgment after step S12 is repeated, and all the processes in FIG.

  In the present embodiment, it is assumed that a change in expected sales opportunity loss as shown in FIG. 10A is obtained at the stage where all the processes in FIG. 5 are completed. Further, it is assumed that the number of customers, the backyard residence time, the counter time, and the cash register time show time changes as shown in FIGS. 10 (b) to 10 (e).

(Factor analysis processing)
Next, factor analysis processing will be described with reference to the flowchart of FIG. This process is a process of analyzing a factor that increases the sales opportunity loss expected value in a time zone in which the sales opportunity loss expected value is large.

  In the process of FIG. 11, first, in step S50, the analysis unit 14 selects the first time zone. Next, in step S52, the analysis unit 14 acquires a sales opportunity loss expected value for the selected time zone.

  Next, in step S54, the analysis unit 14 determines whether or not the acquired sales opportunity loss expected value exceeds a threshold value. In addition, it can be said that the time zone in which the sales opportunity loss expectation value exceeds the threshold is a time zone in which the evaluation regarding the sales opportunity loss is worse than a predetermined standard. When determination here is denied, it transfers to step S74 and the analysis part 14 determines whether the process of all the time slots was complete | finished. If the determination here is negative, the analysis unit 14 selects the next time zone in step S76, and then returns to step S52. That is, while Steps S54 and S74 are denied, it can be said that the time zone in which the sales opportunity loss expected value exceeds the threshold is searched.

  When there is a time zone in which the sales opportunity loss expected value exceeds the threshold value, the determination in step S54 is affirmed, and the process proceeds to step S56.

  When the process proceeds to step S56, the analysis unit 14 selects the first sales customer. Next, in step S58, the analysis unit 14 creates the work situation time series table 78 of the selected sales customer regarding the time zone in which the sales opportunity loss expected value exceeds the threshold value. In addition, the process of this step S58 is the same process as step S14 of FIG.

  Next, in step S60, the analysis unit 14 selects the first product. In this step, the analysis unit 14 selects a product category such as “C1 coat” or “S2 suit”.

  Next, in step S62, the analysis unit 14 adds up the register time (R), counter time (C), and backyard time (B) associated with the selected product. Here, as shown in FIG. 7, after selling a certain product, the time until the next product is sold corresponds to the time when the work related to the next product is performed. Therefore, the analysis unit 14 uses the register time (R), the counter time (C), and the backyard time (B) among the times when the work related to the selected product is performed as the register time ( R), counter time (C), and backyard time (B).

  Next, in step S64, the analysis unit 14 determines whether or not processing has been completed for all products in the work status time series table. If the determination is negative, the process proceeds to step S66, and the analysis unit 14 selects the next product, and then executes the processes and determinations of steps S62 and S64 in the same manner as described above. Then, when the determination in step S64 is affirmed, the process proceeds to step S68.

  If transfering it to step S68, the analysis part 14 will judge whether the process about all the sales customers is complete | finished. If the determination here is negative, the process proceeds to step S70, and the analysis unit 14 selects the next sales customer and then returns to step S58. Thereafter, the processes and determinations of steps S58 to S70 are repeated, and the process proceeds to step S72 when the process of all sales customers is completed (the determination of step S68 is affirmative).

  If transfering it to step S72, the analysis part 14 will total the register time, counter time, and backyard time for every goods. FIG. 12 is a graph showing an example of the tabulation result in step S72.

  Next, in step S74, the analysis unit 14 determines whether or not the processing for all time periods has been completed. If the determination here is negative, the analysis unit 14 proceeds to step S76, selects the next time zone, and then returns to step S52.

  On the other hand, when the process for all time zones is completed and the determination in step S74 is affirmed, the entire process of FIG. 11 is terminated.

  In the present embodiment, after the processing of FIG. 11, the output unit 16 outputs information as shown in FIG. 13 to the user terminal 50. The information in FIG. 13 includes information on a time zone in which the sales opportunity loss expected value has exceeded a predetermined threshold value (dashed line), and is spent for sales of each product in the time zone. Time (registration time (R), counter time (C), backyard time (B)). A person who browses the information in FIG. 13 (a sales customer or a manager who manages a sales customer) knows that there is room for improvement because the counter time and backyard time of the product “J2 jacket” are long. be able to. As a result, it is possible to take measures for sales customers to improve store sales, and to take measures such as product placement in the backyard.

  As described above in detail, according to the present embodiment, the information processing apparatus 10 is selected based on the position of the sales customer present in the sales floor and the position of the customer in the selected time zone. Calculating the total available customer service time during which the sales customer was able to serve the customer, but not the customer service, and the number of customers present in the sales floor during the selected time zone. Based on this, the sales opportunity loss expectation value is calculated. Thus, by calculating the sales opportunity loss expected value from the total customer serviceable time calculated based on the position of the sales customer and the position of the customer, it is possible to appropriately evaluate the sales opportunity loss.

  In addition, according to the present embodiment, the information processing apparatus 10 calculates the expected sales opportunity loss value by dividing the number of customers present in the sales floor in the selected time zone by the total customer serviceable time, so that it is simple. It is possible to appropriately evaluate the sales opportunity loss by calculation.

  Further, according to the present embodiment, the information processing apparatus 10 performs the behavior of the sales customer based on the position of the sales customer present in the sales floor during the time period when the sales opportunity loss expected value exceeds the predetermined threshold. Analyze and output (FIG. 13). As a result, it is possible to analyze and output a factor that the sales opportunity loss expected value exceeds a predetermined threshold.

  In addition, according to the present embodiment, the information processing apparatus 10 has a cashier time (R) and a counter time (C) of a sales customer associated with a sales product in a time zone in which the sales opportunity loss expected value exceeds a predetermined threshold. ) And backyard time (B) are calculated, and the behavior of the sales customer is analyzed, so that it is possible to analyze which product is responsible for the factor that the sales opportunity loss expected value exceeds a predetermined threshold. It becomes possible.

  In the above embodiment, as shown in FIG. 13, in the time zone when the sales opportunity loss expected value exceeds the threshold value, the cashier time, counter time, and backyard time associated with each product are calculated and output. However, the present invention is not limited to this. For example, the register time, counter time, and backyard time in the time period may be calculated and output without considering the product. Even in this way, it is possible to analyze which work is spending time.

  Moreover, although the said embodiment demonstrated the case where a sales opportunity loss expectation value was calculated based on the said Formula (2), it is not restricted to this, Based on the other formula using the number of customers and total customer serviceable time It may be calculated.

  In the above embodiment, in the information of FIG. 13, as a comparison target, a cash register time, a counter time, and a backyard time associated with each product are output in a time zone in which the sales opportunity loss expected value does not exceed the threshold value. You may do it.

  The above processing functions can be realized by a computer. In that case, a program describing the processing contents of the functions that the processing apparatus should have is provided. By executing the program on a computer, the above processing functions are realized on the computer. The program describing the processing contents can be recorded on a computer-readable recording medium (except for a carrier wave).

  When the program is distributed, for example, it is sold in the form of a portable recording medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. It is also possible to store the program in a storage device of a server computer and transfer the program from the server computer to another computer via a network.

  The computer that executes the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable recording medium and execute processing according to the program. Further, each time the program is transferred from the server computer, the computer can sequentially execute processing according to the received program.

  The above-described embodiment is an example of a preferred embodiment of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the scope of the present invention.

In addition, the following additional remarks are disclosed regarding description of the above embodiment.
(Supplementary note 1) A sales customer position detector that detects the position of the sales customer in the store;
A customer position detecting device for detecting a customer's in-store position;
Based on the in-store position of the sales customer who existed in the store in the predetermined time zone and the in-store position of the customer in the store in the predetermined time zone, the inside of the store in the predetermined time zone The customer serviceable time that the customer who was present in the store was able to serve the customer but not the customer was calculated, and based on the customer serviceable time and the number of customers present in the store in the predetermined time zone, An evaluation system comprising: a processing device that performs an evaluation on a sales opportunity loss in a predetermined time zone.
(Additional remark 2) The said processing apparatus performs the evaluation regarding the sales opportunity loss in the said predetermined time slot | zone based on the value which remove | divided the number of the customers who existed in the said store in the said predetermined time slot | zone with the said customer service possible time. The evaluation system according to Supplementary Note 1, wherein
(Additional remark 3) The said processing apparatus is the sales which existed in the said store based on the position in the store of the sales customer who existed in the said store in the time slot | zone where the evaluation regarding the said sales opportunity loss was worse than the predetermined standard. The evaluation system according to appendix 1 or 2, wherein the behavior of the customer service is analyzed and output.
(Additional remark 4) The said processing apparatus is the time when the said sales customer was located in the vicinity of a counter, the time when the said sales customer was located in the counter vicinity in the time slot | zone where the evaluation regarding the said sales opportunity loss is worse than the predetermined standard. And the time when the sales customer is located in a backyard, and the behavior of the sales customer present in the store is analyzed.
(Additional remark 5) It further has the memory | storage device which associates and memorize | stores sales goods, sales time, and the information of the sales customer who sold the said sales goods,
The processing device refers to the storage device, for each sales product, the time when the sales customer who sold the sales product is located near the cash register to sell the sales product, and the sales customer is near the counter. 5. The evaluation system according to appendix 4, wherein the time at which the sales customer is located and the time at which the sales customer is located in the backyard are calculated, and the behavior of the sales customer present in the store is analyzed.
(Additional remark 6) Based on the position in the store of the sales customer who existed in the store in the predetermined time zone, and the position in the store of the customer that existed in the store in the predetermined time zone, the predetermined time zone In the store, the customer service time existing in the store was able to serve the customer, but the customer available time was calculated.
An evaluation program for causing a computer to execute a process for performing an evaluation on a sales opportunity loss in the predetermined time zone based on the customer serviceable time and the number of customers present in the store in the predetermined time zone.
(Additional remark 7) In the process which performs the said evaluation, evaluation regarding the sales opportunity loss in the said predetermined time slot | zone based on the value which remove | divided the number of the customers who existed in the said store in the said predetermined time slot | zone with the said customer service possible time The evaluation program according to appendix 6, wherein:
(Additional remark 8) Based on the position in the store of the sales customer who existed in the said store in the time slot | zone where the evaluation regarding the said sales opportunity loss is worse than the predetermined | prescribed reference | standard, action of the sales customer who existed in the said store The evaluation program according to appendix 6 or 7, further causing the computer to execute a process of analyzing and outputting.
(Supplementary note 9) In the process of analyzing and outputting, the time when the sales customer is located in the vicinity of the cash register in the time zone where the evaluation regarding the sales opportunity loss is worse than a predetermined standard, and the sales customer is near the counter 9. The evaluation program according to appendix 8, wherein the time at which the sales customer is located in a backyard is calculated, and the behavior of the sales customer at the store is analyzed.
(Additional remark 10) The said computer further performs the process which links | relates and memorize | stores sales goods, sales time, and the information of the sales customer who sold the said sales goods,
In the analysis and output process, for each sales product, the time when the sales customer who sold the sales product was sold near the cash register to sell the sales product, the time when the sales customer was located near the counter, The evaluation program according to appendix 9, wherein the time when the sales customer is located in the backyard is calculated, and the behavior of the sales customer present in the store is analyzed.
(Additional remark 11) Based on the position in the store of the sales customer who existed in the store in the predetermined time zone, and the position in the store of the customer that existed in the store in the predetermined time zone, the predetermined time zone Calculating the available service time when the sales customer who was present in the store was able to serve the customer, but not the customer,
The computer executes the step of evaluating the sales opportunity loss in the predetermined time zone based on the customer serviceable time and the number of customers existing in the store in the predetermined time zone. Evaluation method to do.
(Supplementary Note 12) In the step of performing the evaluation, an evaluation regarding a sales opportunity loss in the predetermined time zone based on a value obtained by dividing the number of customers existing in the store in the predetermined time zone by the serviceable time. The evaluation method according to appendix 11, wherein:
(Additional remark 13) Based on the position in the store of the sales customer who existed in the said store in the time slot | zone where the evaluation regarding the said sales opportunity loss is worse than the predetermined standard, the action of the sales customer who existed in the said store 13. The evaluation method according to appendix 11 or 12, wherein the computer further executes a process of analyzing and outputting.
(Supplementary Note 14) In the step of analyzing and outputting, the time when the sales customer is in the vicinity of the cash register in the time zone when the evaluation regarding the sales opportunity loss is worse than a predetermined standard, and the sales customer is near the counter 14. The evaluation method according to appendix 13, wherein the time at which the sales customer is located in a backyard is calculated, and the behavior of the sales customer at the store is analyzed.
(Additional remark 15) The said computer further performs the process which links | relates and memorize | stores sales goods, sales time, and the information of the sales customer who sold the said sales goods,
In the analyzing and outputting step, for each sales product, the time when the sales customer who sold the sales product for selling the sales product is located near the cash register, the time when the sales customer is located near the counter, And the time when the sales customer is located in the backyard, and the behavior of the sales customer present in the store is analyzed.

10 Information processing equipment (processing equipment)
20 Sales customer position detection device 30 Customer position detection device 72 Sales result table (storage device)
100 evaluation system

Claims (8)

Sales customer position detection device for detecting the position of the sales customer in the store;
A customer position detecting device for detecting a customer's in-store position;
Based on the in-store position of the sales customer who existed in the store in the predetermined time zone and the in-store position of the customer in the store in the predetermined time zone, the inside of the store in the predetermined time zone Based on a value obtained by dividing the number of customers present in the store in the predetermined time period by the customer serviceable time, and calculating the customer serviceable time during which the sales customer who was present in the store was able to serve the customer but did not serve the customer And a processing device that performs an evaluation on a sales opportunity loss in the predetermined time period.   Sales customer position detection device for detecting the position of the sales customer in the store;
  A customer position detecting device for detecting a customer's in-store position;
  Based on the in-store position of the sales customer who existed in the store in the predetermined time zone and the in-store position of the customer in the store in the predetermined time zone, the inside of the store in the predetermined time zone The customer serviceable time that the customer who was present in the store was able to serve the customer but not the customer was calculated, and based on the customer serviceable time and the number of customers present in the store in the predetermined time zone, Based on the position in the store of the sales customer who was present in the store in a time zone in which the evaluation regarding the sales opportunity loss is worse than a predetermined standard An evaluation system comprising: a processing device that analyzes and outputs the behavior of a sales customer who exists in the market. In the processing device, the time when the sales customer is located near the cash register, the time when the sales customer is located near the counter, and the sales in a time zone in which the evaluation regarding the sales opportunity loss is worse than a predetermined standard The evaluation system according to claim 2 , wherein the time when the customer is located in the backyard is calculated, and the behavior of the customer who is present in the store is analyzed. Further comprising a storage device for storing the sales product, the sales time, and the information of the sales customer who sold the sales product in association with each other;
The processing device refers to the storage device, for each sales product, the time when the sales customer who sold the sales product is located near the cash register to sell the sales product, and the sales customer is near the counter. 4. The evaluation system according to claim 3 , wherein the time at which the sales customer is located and the time at which the sales customer is located in the backyard are calculated, and the behavior of the sales customer present in the store is analyzed. Based on the in-store position of the sales customer who existed in the store in the predetermined time zone and the in-store position of the customer in the store in the predetermined time zone, the inside of the store in the predetermined time zone The customer service time that was available to the customer but was not available was calculated.
An evaluation program for causing a computer to execute a process for evaluating a sales opportunity loss in the predetermined time period based on a value obtained by dividing the number of customers present in the store in the predetermined time period by the serviceable time. .   Based on the in-store position of the sales customer who existed in the store in the predetermined time zone and the in-store position of the customer in the store in the predetermined time zone, the inside of the store in the predetermined time zone The customer service time that was available to the customer but was not available was calculated.
  Based on the customer serviceable time and the number of customers present in the store in the predetermined time zone, an evaluation regarding a sales opportunity loss in the predetermined time zone is performed,
Analyzing and outputting the behavior of the sales customer present in the store based on the position of the sales customer present in the store during a time period when the evaluation regarding the sales opportunity loss is worse than a predetermined standard To
An evaluation program that causes a computer to execute processing. Based on the in-store position of the sales customer who existed in the store in the predetermined time zone and the in-store position of the customer in the store in the predetermined time zone, the inside of the store in the predetermined time zone Calculating the available service time that the sales customer who was present at the customer was able to serve but not the customer,
The computer executes a step of evaluating a sales opportunity loss in the predetermined time zone based on a value obtained by dividing the number of customers existing in the store in the predetermined time zone by the serviceable time. Evaluation method characterized by   Based on the in-store position of the sales customer who existed in the store in the predetermined time zone and the in-store position of the customer in the store in the predetermined time zone, the inside of the store in the predetermined time zone Calculating the available service time that the sales customer who was present at the customer was able to serve but not the customer,
  Evaluating the sales opportunity loss in the predetermined time zone based on the customer serviceable time and the number of customers present in the store in the predetermined time zone;
Analyzing and outputting the behavior of the sales customer present in the store based on the position of the sales customer present in the store during a time period when the evaluation regarding the sales opportunity loss is worse than a predetermined standard And a process of
Is performed by a computer.

Images