JP2019197573A - Selling support system - Google Patents

Abstract

To provide a selling support system which analyzes movement line data of each of visitors who visit an object shop, for providing information contributing to effective selling promotion activity of the object shop.SOLUTION: A movement line detection part 65a detects movement line data of each of plural visitors of a commercial facility. An analysis part 65 receives the movement line data detected by the movement line detection part 65a, then analyzes the movement line data, then extracts at least one first service providing area where each object person who entered the object shop had entered immediately before entering the object shop, and/or at least one second service providing area where each object person entered immediately after existing the object shop, from the movement line data, out of plural service providing areas, then, as an analysis result, calculates a ratio of object people who entered directly the object shop from the first service providing area to visitors who entered the first service providing area, and/or a ratio of object people who directly entered the second service providing area from the object shop, to visitors who entered the second service providing area.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a sales support system that provides information on visitors to a commercial facility having a plurality of service providing areas in the facility.

  In commercial facilities with many stores such as shopping malls, outlet malls, department stores in high-rise buildings, and underground malls, the location of visitors entering the facilities is specified by wireless transmitters such as mobile phones. Collecting and analyzing the movement status of the information as information. For example, in the information collection system described in Patent Document 1 (Japanese Patent Laid-Open No. 2002-288793), route data of a route through which a customer has passed is calculated from position detection data. This information collection system is a system that can obtain information, for example, that a customer has stopped by a competitor's store or the like from a route taken by a customer.

  However, in addition to the information provided by the information collection system described in Patent Document 1 described above, it is useful for efficient sales promotion activities by analyzing information related to the travel route of visitors, that is, flow line data from different angles. There remains room for information to be provided.

  An object of the present invention is to provide a sales support system capable of presenting information useful for efficient sales promotion activities of a target store by analyzing flow line data of visitors who have visited the target store.

  A sales support system according to an aspect of the present invention includes a management computer and a plurality of access points. The management computer has a processing unit for providing information related to visitors to a commercial facility in which a plurality of air conditioners are installed and a plurality of service providing areas are provided in the facility. A management computer and a plurality of access points are connected by a data transmission line. The plurality of access points share a data transmission line with a plurality of air conditioners.

  The processing unit includes a detection unit that detects flow line data of a plurality of visitors in the commercial facility, and an analysis unit that receives the flow line data detected by the detection unit and analyzes the flow line data.

  The analysis unit is at least one first service providing area and / or immediately after leaving the target store immediately before the target person who is a visitor who has entered the target store among the plurality of service providing areas comes to the target store. At least one second service provision area that has entered is extracted from the flow line data, and as a result of analysis, the target person who came directly to the target store from the first service provision area among the visitors who entered the first service provision area And / or the ratio of the target person who came to the second service providing area directly from the target store, among the visitors who entered the second service providing area.

The layout figure for demonstrating an example of indoor space. The block diagram for demonstrating the outline | summary of a structure of the sales assistance system which concerns on one Embodiment, and a sales assistance system. The block diagram for demonstrating the outline | summary of a structure of a sales support system and a sales support system. The conceptual diagram for demonstrating time series position data. The figure for demonstrating the tied data for linking area ID and access point ID. The conceptual diagram for demonstrating stay area order data. The layout figure for demonstrating an example of a visitor's flow line. The conceptual diagram for demonstrating an example of the data which the analysis part integrated. The figure which shows an example of the analysis result analyzed by the analysis part. The figure which shows an example of the analysis result displayed in order of the store visit ratio. The figure which shows an example of the analysis result displayed in order of the number of visitors. The flowchart which shows an example of the procedure until it produces report data of an analysis result from received data. The flowchart which shows an example of the procedure which produces stay area order data from time series position data. The conceptual diagram for demonstrating an example of utilization of a sales assistance system. The conceptual diagram for demonstrating the calculation method of the store visit ratio of the service provision area which stayed 2 times ago. The block diagram for demonstrating the analysis about the service provision area which stayed 2 times ago. The figure for demonstrating the analysis result about the service provision area which stayed 2 times ago. The block diagram for demonstrating the analysis about the service provision area which stayed immediately after. The figure for demonstrating the analysis result about the service provision area which stayed immediately after. The conceptual diagram for demonstrating the modification 1C. The conceptual diagram for demonstrating modification 1D. The conceptual diagram for demonstrating the modification 1E.

  Hereinafter, a sales support system according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a plan view of the first floor of a shopping mall, which is an example of a commercial facility that provides information using a sales support system. The shopping mall 500 includes a plurality of stores 501, an event venue 502, a children's playground 503, a passage 504, and an entrance 505 as service providing areas. One store 501 is one section partitioned by a broken line. The passage 504 is a region indicated by oblique lines. Note that other areas such as a toilet are not described because they are not necessary for the description of this embodiment. As shown in FIG. 1, a plurality of air-conditioned indoor units 20 are arranged in the shopping mall 500 over the entire facility.

  Each access point 70 shown in FIG. 2 is arranged in each air-conditioned room unit 20 provided on the ceiling of a commercial facility. One air conditioning indoor unit 20 is provided with one indoor unit 30 together with one access point 70.

  FIG. 2 is a block diagram for explaining the outline of the configuration of the sales support system according to the embodiment of the present invention. The sales support system 10 shown in FIG. 2 has a high performance even though the cost is low, by including a portion that is also used as the air conditioner 50. Therefore, in the following description of the embodiment, the sales support system will be described after briefly describing the air conditioner 50.

(1) Overall Configuration The sales support system 10 shown in FIG. 2 is configured using an air conditioner 50 installed in a shopping mall 500. A plurality of indoor units 30 are connected to each of the plurality of outdoor units 40 to configure an air conditioner 50 for air conditioning in the shopping mall 500. All the indoor units 30 and all the outdoor units 40 in FIG. 2 are controlled by an air conditioning control device 51. The indoor unit 30 and the outdoor unit 40 are connected by a data transmission line 52. The air conditioning control device 51 and the outdoor unit 40 and the indoor unit 30 are connected by a data transmission line 52, a gateway 53, and a network transmission line 54. Each air conditioning indoor unit 20 including the indoor unit 30 is connected to an air conditioning power line 90. The access point 70 of the air conditioning indoor unit 20 is also supplied with power from the air conditioning power line 90. The air conditioner 50 is a multi-type air conditioner in which a plurality of indoor units 30 are connected to each outdoor unit 40 in parallel.

(2) Configuration of Sales Support System 10 As shown in FIG. 3, the sales support system 10 includes a management computer 60 and a plurality of access points 70 connected by a data transmission line 52. . The data transmission line 52 that connects the management computer 60 and the plurality of access points 70 is shared with the data transmission line 52 of the air conditioner 50.

(2-1) Access point 70
Each access point 70 is used for a wireless PAN (Personal Area Network) compliant with a standard such as a wireless LAN (Local Area Network) or Bluetooth (registered trademark) compliant with a standard such as Wi-Fi. It is possible to communicate with a portable wireless terminal 100 such as a mobile phone or a smartphone having the. Each access point 70 can detect the reception time when the received data is received and the mobile ID (identification) for identifying the mobile radio terminal 100 in addition to the transmission content included in the received data. Each access point 70 can transmit the transmission content, the reception time, and the portable ID to the communication unit 61 of the management computer 60 together with its own access point ID held inside through the data transmission line 52.

(2-2) Management computer 60
The management computer 60 manages a communication unit 61 that transmits / receives data to / from each access point 70 through the data transmission line 52 and an input signal that can be processed inside the management computer 60 such as a character signal of a keyboard. 60, an input unit 62 for inputting information from outside to the inside, an output unit 63 for outputting information to the outside of the management computer 60, and the management computer 60 from the data transmission line 52 and the input unit 62, for example. A storage unit 64 for storing given data and various programs, and a processing unit 65 for processing data given from, for example, the data transmission line 52 and the input unit 62 and data stored in the storage unit 64 are provided.

(2-2-1) Storage unit 64
The storage unit 64 includes a map data storage area 64a for storing map data of an indoor space where a plurality of access points 70 are arranged, a reception data storage area 64b for storing reception data of the portable wireless terminal 100, and a detection The flow line data storage area 64c for storing the flow line data related to the flow line, the work data storage area 64d for storing the work data being processed in the processing unit 65, and the analysis result for storing the analysis result And a storage area 65e.

(2-2-2) Processing unit 65
The processing unit 65 includes a CPU. The CPU of the processing unit 65 functions as a flow line detection unit 65a, an analysis unit 65b, and a presentation unit 65c by reading and executing a program stored in the storage unit 64.

(2-2-2-1) Flow line detector 65a
The flow line detection unit 65 a detects the flow line of the mobile wireless terminal 100 using the received data of each mobile wireless terminal 100 received by the plurality of access points 70, and the flow line data of a plurality of visitors in the shopping mall 500. Get each. Specifically, the flow line detection unit 65a generates time-series position data as shown in FIG. 4 from the received data for one day stored in the received data storage area 64b, for example. “Date” in FIG. 4 is given from a calendar stored in the storage unit 64 of the management computer 60. The reception time and the access point ID (referred to as AP ID in FIG. 4) are extracted from the reception data including the same portable ID read from the reception data storage area 64b by the flow line detection unit 65a. . FIG. 4 shows time-series position data of n portable wireless terminals 100 assigned addresses MRT1 to MRTn. The flow line detection unit 65a arranges the extracted data including the same mobile ID in time series.

  FIG. 5 shows association data for associating an area ID for identifying a service providing area and an access point ID. This association data is included in the map data stored in the map data storage area 64a. Next, the flow line detection unit 65a refers to the association data stored in the map data storage area 64a, and the stay area order data classified for each mobile ID as shown in FIG. create. From the stay area order data of FIG. 6, the visitor who has the portable wireless terminal 100 with the address MRT1 comes from the “east entrance / exit” (area ID = Ar001) and “movie theater” (area ID = Ar101), “Store A” (area ID = Ar104), and “E Square” (area ID = Ar130) are read in this order. By connecting this read route, it can be seen that the flow line of the visitor having the portable wireless terminal 100 with the address MRT1 in FIG. 6 is the flow line ML1 shown in FIG. The stay area order data shown in FIG. 6 is stored in the flow line data storage area 64c by the flow line detection unit 65a instructing the storage unit 64.

  Note that, as shown in FIG. 5, a reference stay time as a reference can be set in advance. When the reference stay time is not exceeded, it can be determined not to determine that the user stayed immediately before, and the case where the user simply passes through without receiving the service in the service providing area can be excluded from the previous stay area. The reference staying time can be set differently for each area. In the following description, analysis of flow line data that satisfies the reference stay time will be described.

(2-2-2-2) Analysis unit 65b
The analysis unit 65b receives the flow line data detected by the flow line detection unit 65a and analyzes the flow line data. For example, when the operator of the sales support system 10 inputs conditions such as year, month, weekday / holiday, and time zone from the input unit 62, the analysis unit 65b inputs from the stay area order data read from the flow line data storage area 64c. Extract and integrate data that matches the specified conditions. Thus, an example of the data integrated by the analysis unit 65b is shown in FIG. The conditions input to extract the data shown in FIG. 8 are “weekdays” in “July” and the shopping time 500 was used from “15:00 to 16:00”. That's it. The data integrated by the analysis unit 65b is stored in the work data storage area 64d.

  Furthermore, information to be analyzed is input from the input unit 62 to the analysis unit 65b so as to analyze “Store A” under the above-described conditions. The analysis unit 65b that has received the information to be analyzed from the input unit 62 reads the data shown in FIG. 8 from the work data storage area 64d, and the area ID of the stay area immediately before “Store A” has the same value. The number of portable wireless terminals 100 shown is counted. A visitor having the portable wireless terminal 100 with the address MRT1 shown in FIG. 8 was in “Movie Theater” (area ID Ar101) before entering “Store A”. Due to the information that the user stayed in “Movie Theater” before entering “Store A”, the total number of visitors whose data is “Movie Theater” in the previous stay area increases by one. Visitors who visited “Movie Theater” in front of “Store A” from “15:00 to 16:00” on “Weekday” in “July” by repeating this calculation using mobile ID and area ID Count the total number of At this time, the analysis unit 65b counts the plurality of times as one even if the same mobile ID and area ID are recognized a plurality of times.

  In addition, the analysis unit 65b counts the total number of visitors in the previous stay area of visitors who visited the “cinema” from “15:00 to 16:00” on “weekdays” in “July”. The analysis unit 65b divides the total number of visitors who visited “Movie Theater” before “Store A” described above by the total number of visitors in the previous stay area of “Movie Theater”, and the proportion of customers who visited “Store A” Is calculated. An example of the analysis result analyzed by the analysis unit 65b in this way is shown in FIG. The analysis result as shown in FIG. 9 is stored in the analysis result storage area 64e by the analysis unit 65b instructing the storage unit 64.

(2-2-2-3) Presentation unit 65c
The presentation unit 65c presents the analysis result of the analysis unit 65b as shown in FIG. The presenting unit 65c instructs the output unit 63 to display the data of FIG. 9 in the form of a table on, for example, the display screen of the output unit 63.

  The display method can be arbitrarily set. For example, as shown in FIG. 10, the display order is displayed in the order of the store visit ratio, or the number of customers who have visited “Store A” as shown in FIG. 11. You can set the format to be displayed side by side.

(3) Operation of Sales Support System 10 (3-1) Analysis Procedure Example of Procedure for Creating Report Data of Analysis Results from Received Data Stored in Received Data Storage Area 64b of Sales Support System 10 Are summarized as shown in FIGS. First, the flow line detection unit 65a generates time-series position data as shown in FIG. 4 from the reception data stored in the reception data storage area 64b (step S1). Next, the flow line detection unit 65a creates stay area order data from the time-series position data (step S2).

  A detailed example of step S2 is shown in FIG. First, in step S11, it is determined whether or not there is time-series position data (referred to as “mobile data” in FIG. 13) of the mobile wireless terminal 100 for creating stay area order data. If the time-series position data of the portable wireless terminal 100 does not remain, the flow line detection unit 65a ends the operation. If there is time-series position data, the flow line detection unit 65a extracts one piece of time-series position data corresponding to one portable wireless terminal 100 (step S12). In the next step S13, the value “not yet” is substituted for the parameter “stay” for counting the stay time. The value assigned to the parameter “stay” is “not yet” or “medium”.

  Next, in step S14, the flow line detection unit 65a extracts one piece of data at the earliest reception time from the time-series position data that has not been processed. Then, the flow line detection unit 65a searches whether there is an area ID whose access point ID is registered in the storage unit 64 (denoted as DB in FIG. 13) (step S15). If there is an area ID associated with the access point ID, the process proceeds to the next step S16, and the flow line detection unit 65a determines whether or not the value of the parameter “stay” is “medium”. The parameter “stay” used for the determination in step S16 indicates that if the value is “not yet”, it indicates that the user has not yet stayed anywhere, and if the value is “medium”, the user stays in any area. Represents being inside.

  If the value of the parameter “stay” is “medium” in step S16, the process proceeds to the next step S17, and the flow line detection unit 65a determines whether or not the area ID is the same as the data at the previous reception time. . If it is determined in step S17 that the area ID is the same as the data at the previous reception time, this means that the area remains in the same area. Therefore, the flow line detection unit 65a proceeds to the next step S18, updates the stay time in the area, and proceeds to the next step S19. The update of the stay time is to add the reception interval ΔT of the received data to the stay time of the area until the process proceeds to step S18.

  In step S19, the flow line detection unit 65a determines whether all time-series position data corresponding to one portable wireless terminal 100 has been completed. For example, the mobile wireless terminal 100 with the address MRT1 determines whether or not the creation of the stay area order data for the time-series position data has been completed. When all the time-series position data corresponding to one portable wireless terminal 100 is completed, the process returns to step S11 to determine whether or not to start processing the time-series position data corresponding to the next portable wireless terminal 100. If all the time-series position data corresponding to one portable wireless terminal 100 has not been completed, the process returns to step S14, and the next flow line detection unit 65a includes the time-series position data that has not been processed. The data of the earliest reception time, that is, the data of the next reception time is extracted, and the above processing is continued.

  By the way, when the area ID corresponding to the access point ID does not exist in step S15, the process proceeds to step S20, and the flow line detection unit 65a determines whether or not the value of the parameter “stay” is “medium”. To do. If the value of the parameter “stay” is “medium”, it can be determined that the user has stayed in an area so far, and thus the flow line detection unit 65a proceeds to step S21, for example, the area ID of the previous reception time The start time and end time of the stay in the area indicated by the area ID are written out. The end time is the previous reception time, and the start time is obtained by subtracting the stay time from the end time. Then, the flow line detection unit 65a resets the stay time and changes the value of the parameter “stay” to “not yet”. If it is determined in step S20 that the value of the parameter “stay” is not “medium”, the flow line detection unit 65a proceeds to step S22, resets the stay time, and sets the value of the parameter “stay” to “not yet”. While proceeding to the next step. In either case, the next process performed in step S21 or step S22 is the same process in step S19.

  If it is determined in step S16 that the value of the parameter “stay” is not “medium”, the process proceeds to step S23, and the flow line detection unit 65a determines whether the area ID is the same as the data at the previous reception time. Determine whether. If it is determined in step S23 that the area ID is the same as the data at the previous reception time, this means that the area remains in the same area. Therefore, the flow line detection unit 65a proceeds to the next step S24, updates the stay time in the area, changes the value of the parameter “stay” to “medium”, and proceeds to the next step S19. If it is determined in step S23 that the area ID is different from the previous reception time data, the flow line detection unit 65a proceeds to step S25, resets the stay time, and sets the value of the parameter “stay”. Proceed to the next step while maintaining “not yet”. In both cases, step S24 and step S25, the next process is the same process in step S19.

  Furthermore, if it is determined in step S17 that the area ID is not the same as the data at the previous reception time, it means that the area has moved from one area to another, and therefore the process proceeds to step S26, where the flow line detection unit 65a writes out the area ID of the previous reception time, for example, and the start time and end time of the stay in the area indicated by the area ID. Then, the flow line detection unit 65a resets the stay time, changes the value of the parameter “stay” to “not yet”, and proceeds to the next step S19.

  As described above, when step S2 in FIG. 12 is completed and the process proceeds to step S3, the analysis unit 65b extracts data that matches the input condition from the stay area order data read from the flow line data storage area 64c. And integrate. Moreover, the analysis part 65b specifies each area ID immediately before it about the area input from the input part 62, and calculates the total number of visitors of the area with each specified area ID (step S4). Further, for the area input from the input unit 62, the analysis unit 65b calculates a store visit ratio for visiting the input area from each area ID immediately before the area (step S5). The store visit ratio is obtained by dividing the number of visitors from the immediately preceding area by the total number of visitors in the immediately preceding area. In the next step S6, the presentation unit 65c instructs the output unit 63 to present the analysis result of the analysis unit 65b as shown in FIG. 9, FIG. 10, or FIG.

  For example, looking at the data arranged in the order of the number of customers in FIG. 11, it may be immediately conceived to carry out advertisements or advertisements for attracting customers to visitors in a gourmet mall with the largest number of customers. However, if you look at Figure 10 in order of store visit ratio, you can see that there is a high probability of coming to “Store A” after entering and staying at the toy store, coffee shop, and movie theater. Advertises and advertises visitors to toy stores, coffee shops and movie theaters, and can increase the number of visitors efficiently.

(4) Other Utilization Examples of Sales Support System 10 FIG. 14 is a conceptual diagram for explaining an example of utilization of the sales support system 10. In FIG. 14, facilities 500A, 500B, and 500C other than the shopping mall 500 are described. In each of the facilities 500A, 500B, and 500C, sales support systems 10A, 10B, and 10C similar to the sales support system 10 installed in the shopping mall 500 are also provided. For example, the management computer 60 of the sales support system 10 of the shopping mall 500 is connected to the analysis server of the center 11 via the communication network 12 connected by the router 13. Similarly, in the sales support systems 10A, 10B, and 10C of the facilities 500A, 500B, and 500C, the management computers 60A, 60B, and 60C are connected to the analysis server of the center 11. The analysis server of the center 11 is configured so that not only the shopping mall 500 but also the data of neighboring facilities 500A, 500B, and 500C can be obtained. For example, if the manager of “Store A” owns the same kind of store as “Store A” in neighboring facilities 500A, 500B, 500C, the manager of “Store A” Sales support using the service can also be performed in the neighboring facilities 500A, 500B, and 500C, and the entire data can be integrated and used for sales support of “Store A”.

  Even in the same series of shopping malls, layouts and tenants may be different, and commercial facilities located in different places may have differences in regional characteristics, customer segments, and the like. In such a case, the data collected at the center 11 by comparing and evaluating the tendency of the distant facilities 500A, 500B, and 500C and the tendency of the shopping mall 500 without integrating the data. The entire data may be used for sales support of the target store “Store A”.

(5) Modification (5-1) Modification 1A
In the above embodiment, a case has been described in which the analysis unit 65b analyzes a visitor who has visited the store directly from the previous stay area. However, the analysis unit 65b passes the previous stay area from the previous stay area. You may comprise so that the analysis about the visitor who visited the store directly may be performed.

  As shown in FIG. 15, a method of calculating a store visit ratio when staying at “B store” immediately before visiting “A store” and staying at “C store” before visiting “B store” think about. This “C store” is the second stay area. In such a case, the following five patterns can be taken by a visitor of “C store”. That is, (a) When visiting the “A store” from the “C store” via the “B store” (this number is n1), (b) From the “C store” via the “B store” (C) go from “C store” to “B store”, but then leave the shopping mall 500 without visiting any area. (When this number is n3), (d) when going from “C store” to “an area other than B store” (this number is n4), (e) after leaving “C store”, which There are five possible patterns when leaving the shopping mall 500 without approaching the area (this number is n5). In such a case, the store visit ratio is given by n1 / (n1 + n2 + n3 + n4 + n5).

  Similarly to the case where the last stay area of “Store A” is analyzed in the above embodiment, the analysis unit 65b replaces “Store A” with the last stay area of “Gourmet Mall” shown in FIG. Perform analysis. In this case, the data of 51 people who have directly visited “Store A” via “Gourmet Mall” has been specified, so the data of 51 people can be used directly from Store X, Store Y, and Store Z. The number of visitors to “Gourmet Mall” is calculated. In addition, in order to obtain the store visit ratio of the store X, the store Y, and the store Z shown in FIG. Using the stay area order data stored in the area 64c, the total number of visitors in the previous stay area staying in the store X, the store Y, and the store Z is calculated. For example, when advertising with a limited number of posters, it may be effective to advertise on the route connected to store X among the routes connecting from “Gourmet Mall” to store X, store Y and store Z. Can be analyzed.

  In addition, as described above, it is also possible to configure to follow as much as possible without being limited to only two previous. If data is created by tracing as much as possible without being limited to just before or immediately before, it becomes possible to perform a detailed analysis of customers who may visit the store.

(5-2) Modification 1B
In the above modified example 1A, an analysis was performed on the customers who visited the store directly from the previous stay area via the previous stay area. However, the visitor of the stay store immediately after visiting the store may be analyzed. FIG. 18 and FIG. 19 show an action (destination) taken by a visitor immediately after leaving “Store A”. As can be seen from FIG. 18 and FIG. 19, out of 51 people staying at “Store A”, 6 people go straight to “Store α”, 23 people go straight to “Store β”, and the remaining 22 people come home. did. Such an analysis can be performed using the sales support system 10 of the above-described embodiment. For example, the analysis is similar to the analysis of the store visitor from “Gourmet Mall” (last stay area) to “Store A” (target store). By analyzing the flow line of 51 visitors by the above method, the analysis unit 65b can perform the analysis. The analysis unit 65b then assumes that the number of visitors from “Store A” to “Store α” in the “Store α” is 24, assuming that there are 24 visitors at “Store α” in the designated time period. Is calculated as 6/24 × 100 = 25%.

  For example, the manager of “Store A” presented with such data from the sales support system 10 can efficiently acquire customers by conducting sales promotion activities for increasing repeaters at “Store α”. In addition, since it can be seen from the “Number of visitors from our store” that many of the visitors flow to “Store β”, it is possible to conduct sales promotion activities at “Store β”. Furthermore, if it is known that there are many people who return home immediately after stopping at “Store A”, it is considered that sales promotion activities are performed for visitors who return home.

  In the case of Modification 1A, it was possible to follow the trace as well as the previous two, but in the case of Modification 1B, it is not limited to just before, immediately after the previous two. If data is created by tracing back and forth as far as possible, detailed analysis of customers who may visit the store becomes possible.

  Further, in the modified example 1B, the previous stay area immediately before, immediately after, and the previous two stay areas are analyzed. However, for example, it is also possible to analyze only the stay area immediately after “Store A”.

(5-3) Modification 1C
For example, as shown in FIG. 20, data that can be recorded by an air conditioning sensor such as temperature and / or humidity may be linked and recorded. As described above, instead of making the analysis unit 65b analyze the day of the week or the time zone as a key, or in addition to the day of the week or the time zone, data that can be recorded by an air conditioning sensor such as temperature and / or humidity is used as a key. The analysis unit 65b can also be configured to analyze. Furthermore, in addition to data that can be recorded by the air conditioning sensor, for example, weather information and event / campaign date can also be recorded.

(5-4) Modification 1D
The definition of the service providing area can be configured to be changed by an input from the input unit 62. For example, as shown in FIG. 21, a service providing area with an access point ID of P4 is designated as “in-mall store A” with an area ID of Ar102, and a service providing area with an access point ID of P5 is designated as “with an area ID of Ar103. Service provision areas with access point IDs P4, P5, and P6 are classified as “in-mall shop B” and service area with access point ID P5 as “in-mall store C” with area ID Ar103. The areas can be collectively changed to “Gourmet Mall” with an area ID of Ar102, and vice versa.

(5-5) Modification 1E
In the above embodiment, the position of the portable wireless terminal 100 is specified by the access point 70, but as shown in FIG. 22, the position of the portable wireless terminal 100 may be specified by three-point positioning. In the example shown in FIG. 22, the service providing area is divided into an X range (Xmin to Xmax) and a Y range (Ymin to Ymax) of the XY coordinates. For example, no. The data from 101 to 106 is data indicating that the movie theater stayed. However, the method of partitioning the service providing English rear is not limited to such a method, and may be partitioned by polygons, for example.

(6) Features (6-1)
As described above, the analysis unit 65b receives the flow line data detected by the flow line detection unit 65a (an example of the detection unit), and as shown in FIG. 10, for example, “toy”, “coffee shop” And visitors who have entered “Toy”, “Coffee Shop”, “Movie Theater”, etc. directly from the target store “Store A” from “Movie Theater” (example of the first service provision area) The store visit ratio (example of ratio) is calculated. This ratio makes it easier to evaluate the tendency of visitors to the target store, such as “toys”, “coffee shops” and “movie theaters”, and the behavior of visitors who have visited the target store “Store A”. By analyzing the line data, it is possible to present information useful for efficient sales promotion activities of the target store, and to support efficient sales promotion activities of the target store.

  Further, the analysis unit 65b receives the flow line data detected by the flow line detection unit 65a (an example of the detection unit), and as shown in FIG. The ratio (example of ratio) of the visitors who went to “Store α” and “β Store” (example of the second service providing area) to the visitors of “Store α” and “Store β” is calculated. The percentage of visitors makes it easier to evaluate the flow of customers after the target store than the visitors of “Store α” and “Store β”, and the movement of visitors who visited the “Store A” target store. By analyzing the line data, it is possible to present information useful for efficient sales promotion activities of the target store, and to support efficient sales promotion activities of the target store.

(6-2)
As shown in FIG. 11, the analysis unit 65 b calculates the number of target persons who entered “Store A”, which is the target store, directly from the last stay area (example of the first service providing area), and the analysis result Is presented by the presenting unit 65c, so that it is easy to determine whether or not the immediately staying area is appropriate for sales promotion.

  Further, as shown in FIG. 19, the analysis unit 65 b calculates the number of target persons who have entered the stay area (example of the second service providing area) immediately after “Store A” as the target store. Since the presentation unit 65c presents the analysis result, it is easy to determine whether or not the immediately staying area is appropriate as a sales promotion target.

(6-3)
As described with reference to FIG. 16, the analysis unit 65 b directly comes from the previous area (example of the third service provision area) to the last stay area (example of the first service provision area) and further immediately before the stay area. Since the statistical data regarding the target person who came directly to “Store A”, which is the target store, is generated as the statistical data, for example, directly from the two previous areas as shown in FIG. The number of target persons who have visited the store “Store A” and / or comparison data of the target persons can be presented to the parties concerned in the target store by the presenting unit 65c. As a result, the sales support system 10 can support the efficient sales promotion activities of the “store A” that is the target store by using the information of the previous area.

(6-4)
Since the analysis unit 65b has a function of classifying the analysis results according to the set conditions, for example, by classifying the analysis results according to the conditions such as month, day of the week, time zone, weather, temperature and humidity, the presentation unit 65c Another analysis result can be presented. As a result, it is possible to submit analysis results in accordance with various conditions, and it is easy to present information useful for efficient sales promotion activities of the target store.

(6-5)
In the said embodiment, it is comprised so that a classification condition and / or a presentation condition can be input from the input part 62. FIG. And the analysis part 65b and / or the presentation part 65c are comprised so that an analysis result can be produced | generated based on the classification conditions and / or presentation conditions input from the input part 62, and can be shown. As a result, various analysis results can be presented according to the classification conditions and / or presentation conditions input from the input unit 62, and the convenience of the user of the sales support system is improved.

(6-6)
The analysis unit 65b sets the entrance / exit 505 of the shopping mall 500 (an example of an entrance / exit area of a commercial facility) as the last stay area (example of being regarded as the first service providing area), and “Store A, which is a target store directly after entering the shopping mall 500,” It is comprised so that the statistical data regarding the subject who came to "can be produced | generated. Therefore, for example, in an area that passes instantaneously, such as the entrance / exit 505, the reference stay time is set to be extremely short, or the reference stay time is set to 0 and the point is passed. As described above, since the analysis unit 65b can also generate statistical data regarding the target person who directly came to the store “Store A” after entering the shopping mall 500, the target store “Store A” is set as the first target. Data of customers who visit the facility can be obtained, and sales promotion support contents can be expanded.

  Data on customers who visit the store “Store A”, which is the target store, directly from the entrance 505 obtained in this way is based on sales promotion activities performed in advance (for example, the place where the PR activity was performed is outside the facility of the shopping mall 500 (for example, , Other facilities, commercials using broadcast media, flyers, or e-mails) or other places in the facility. . Using data of customers who come directly from the entrance / exit area of a commercial facility, you can compare the time when you did not advertise or promote in advance, change the number of visitors when you changed the contents of the advertisement that was conducted in advance, etc. By performing comparative evaluation, it is possible to connect to support for evaluating and judging more effective sales promotion means.

(7) Another aspect of the invention A sales support system according to a first aspect of the present invention is a sales support system for providing information on visitors to a commercial facility having a plurality of service providing areas in the facility, A detection unit for detecting flow line data of a plurality of visitors to the facility, an analysis unit for receiving the flow line data detected by the detection unit and analyzing the flow line data, and a presentation unit for presenting an analysis result of the analysis unit; The analysis unit includes at least one first service providing area and / or a target store that is a visitor who has entered the target store among the plurality of service providing areas immediately before coming to the target store. At least one second service provision area that has entered immediately after leaving is extracted from the flow line data, and as a result of analysis, the first service provision area occupies the visitors who entered the first service provision area. The ratio of the target person who came directly to the target store from the rear and / or the ratio of the target person who came directly from the target store to the second service providing area in the visitors who entered the second service providing area is calculated.

  In the sales support system according to the first aspect, the analysis unit sets the ratio of the target person who came directly to the target store from the first service providing area to the visitors who entered the first service providing area and / or the second service providing area. Since the ratio of target customers who came directly from the target store to the second service provision area among the visitors who entered the site is calculated, it is easy to evaluate the store visit tendency from the visitors in the first service provision area to the target store. It becomes easy to evaluate the store visit tendency from the target store to the second service providing area, and support for efficient sales promotion activities of the target store can be performed.

  The sales support system according to the second aspect of the present invention is the sales support system according to the first aspect, and the analysis unit calculates the number of target persons who have come directly to the target store from the first service providing area as an analysis result. To do.

  In the sales support system according to the second aspect, the analysis unit calculates the number of target persons who have directly entered the target store from the first service providing area and / or the number of target persons who have directly entered the second service providing area from the target store. Since the calculation unit calculates and presents the analysis result, it is easy to determine whether or not the first service providing area and the second service providing area are appropriate for sales promotion.

  The sales support system according to the third aspect of the present invention is the sales support system according to the second aspect, wherein the analysis unit enters at least immediately before coming to the first service provision area where the target person has entered immediately before the target store. One third service provision area is extracted from the flow line data, and as an analysis result, the target person who came to the target store from the first service provision area immediately after entering the first service provision area directly from the third service provision area It generates statistical data.

  In the sales support system according to the third aspect, the analysis unit generates statistical data about the target person who has come directly from the third service providing area to the first service providing area and then directly from the first service providing area to the target store. As the statistical data, for example, the number of the target person who visited the target store directly from the third service providing area via the first service providing area and / or comparison data of the target person can be presented to the related parties of the target store by the presenting unit, Can support efficient sales promotion activities at target stores.

  A sales support system according to a fourth aspect of the present invention is the sales support system according to any one of the first to third aspects, and the analysis unit has a function of classifying the analysis result according to the set classification condition. , That is.

  In the sales support system according to the fourth aspect, the analysis unit has a function of classifying the analysis results according to the set conditions. Therefore, for example, the analysis results are classified according to conditions such as month, day of the week, time zone, weather, temperature and humidity. Thus, the analysis result for each condition can be presented by the presentation unit.

  A sales support system according to a fifth aspect of the present invention is the sales support system according to the fourth aspect, further comprising an input unit for inputting a classification condition and / or a presentation condition, wherein the analysis unit and / or the presentation unit is an input The analysis result is generated and presented based on the classification condition and / or the presentation condition input from the section.

  In the sales support system according to the fifth aspect, the analysis result can be presented in various ways according to the classification condition and / or the presentation condition input from the input unit, and the convenience of the user of the sales support system is improved.

  A sales support system according to a sixth aspect of the present invention is the sales support system according to any one of the first to fifth aspects, wherein the analysis unit regards the entrance / exit area of the commercial facility as the first service provision area, Statistical data on the target person who came to the target store directly after entering the facility is generated.

  In the sales support system according to the sixth aspect, the analysis unit generates statistical data on the target person who has directly entered the target store after entering the commercial facility. Therefore, it is possible to obtain data on customers who visit the commercial facility for the purpose of the target store. it can.

  In the sales support system according to the first aspect of the present invention, it is possible to analyze the flow line data of visitors who have visited the target store and present information useful for efficient sales promotion activities of the target store.

  In the sales support system according to the second aspect of the present invention, it is easy to determine whether or not the first service providing area and the second service providing area are targeted for sales promotion, and efficient sales promotion activities can be performed.

  In the sales support system according to the third aspect of the present invention, it is possible to support so that efficient sales promotion activities of the target store can be performed using information on the third service providing area.

  In the sales support system according to the fourth aspect of the present invention, it is easy to present information useful for efficient sales promotion activities of the target store.

  In the sales support system according to the fifth aspect of the present invention, the convenience of the user of the sales support system is improved.

  In the sales support system according to the sixth aspect of the present invention, the sales promotion support content can be expanded.

10, 10A, 10B, 10C Sales support system 60, 60A, 60B, 60C Management computer 65 Processing unit 65a Flow line detection unit 65b Analysis unit 65c Presentation unit 70 Access point 100 Portable wireless terminal

JP 2002-288793 A

Claims (9)

A management computer (60) having a processing unit (65) for providing information on a visitor to a commercial facility in which a plurality of air conditioners (50) are installed and a plurality of service providing areas are provided in the facility, and a plurality of A sales support system comprising an access point (70), wherein the management computer and the plurality of access points are connected by a data transmission line (52),
The plurality of access points share the data transmission line with the plurality of air conditioners,
The processor is
A detection unit (65a) for detecting flow line data of a plurality of visitors of the commercial facility,
An analysis unit (65b) that receives the flow line data detected by the detection unit and analyzes the flow line data;
The analysis unit includes at least one first service providing area and / or the target store that is entered immediately before a target person who is a visitor who has entered the target store among the plurality of service providing areas comes to the target store. At least one second service provision area that has entered immediately after exiting from is extracted from the flow line data, and as an analysis result, directly from the first service provision area that occupies visitors who entered the first service provision area Calculate the ratio of the target person who came to the target store and / or the ratio of the target person who came directly to the second service providing area from the target store among the visitors who entered the second service providing area Sales support system. A storage unit (64) for storing the analysis result of the processing unit;
The sales support system according to claim 1. The processing unit further includes a presentation unit (65c) for presenting the analysis result of the analysis unit.
The sales support system according to claim 1 or 2. The analysis unit, as the analysis result, the number of target persons who have come directly to the target store from the first service providing area and / or the target person who has come directly to the second service providing area from the target store. Calculate the number of people
The sales support system according to claim 3. The analysis unit extracts, from the flow line data, at least one third service provision area that has entered immediately before coming to the first service provision area in which the target person has entered immediately before the target store, and as the analysis result Generating statistical data on the target person who came to the target store from the first service providing area immediately after entering the first service providing area directly from the third service providing area;
The sales support system according to claim 4. The analysis unit has a function of classifying the analysis result according to a set classification condition.
The sales support system according to any one of claims 3 to 5. An input unit (62) for inputting the classification condition and / or the presentation condition;
The analysis unit and / or the presentation unit generates and presents the analysis result based on the classification condition and / or the presentation condition input from the input unit,
The sales support system according to claim 6. The said analysis part considers the entrance / exit area of the said commercial facility as said 1st service provision area, and produces | generates the statistical data regarding the said subject who came to the said target store directly after entering the said commercial facility. The sales support system according to claim 1. The detection unit detects the flow line data of a plurality of visitors in the commercial facility by detecting the flow line of the portable wireless terminal using reception data of the portable wireless terminal held by the visitor,
The sales support system according to any one of claims 1 to 8.

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