WO2016174878A1 - Système d'analyse d'action et procédé d'analyse d'action - Google Patents

Système d'analyse d'action et procédé d'analyse d'action Download PDF

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Publication number
WO2016174878A1
WO2016174878A1 PCT/JP2016/050326 JP2016050326W WO2016174878A1 WO 2016174878 A1 WO2016174878 A1 WO 2016174878A1 JP 2016050326 W JP2016050326 W JP 2016050326W WO 2016174878 A1 WO2016174878 A1 WO 2016174878A1
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Prior art keywords
information
product
store
flow line
area
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PCT/JP2016/050326
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English (en)
Japanese (ja)
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智揮 矢田
直哉 大江
恵司 日高
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株式会社日立ソリューションズ
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Publication of WO2016174878A1 publication Critical patent/WO2016174878A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Definitions

  • the present invention relates to a behavior analysis system that analyzes flow line information and visualizes human behavior.
  • Patent Document 1 discloses a technique for calculating a stop state in a store from flow line information, creating a stop state heat map, and displaying the heat map on a display device.
  • the flow line information has a large amount of data, and it is difficult to obtain an indication of store operation from the individual flow line information. Further, in the technique described in Patent Document 1, store sales information does not correspond to a heat map, and it is impossible to obtain suggestions such as improvement points of a store layout, for example, only by looking at the screen.
  • the present invention has been made in view of such circumstances, and examines measures for store improvement by combining information obtained by processing flow line information with sales information and the like and displaying them on a screen.
  • An object is to provide an action visualization device that provides useful information.
  • a typical example of the invention disclosed in the present application is as follows. That is, a behavior analysis system comprising a computer having a processor and a memory, flow line information including a history of movement of a person measured by a position measuring device, and transaction information including information on settlement of a product transaction
  • the passage area information including a condition for determining a stop in a predetermined area and the shelf allocation information in which products displayed for each section defined in the product shelf are recorded, and the flow line information
  • a behavior visualization unit that generates information visualizing human behavior from the behavior visualization unit, analyzing the flow line information with reference to the passage area information, and determining a stop for each area in the store Then, referring to the transaction information and the shelf allocation information, the number of purchases or purchase price of the product is totaled for each section of the product shelf, and the number of stops for each area and the total number of purchases or the purchase price And outputs screen data to be graphically displayed superimposed on the store layout.
  • FIG. 1 is a diagram illustrating a logical configuration of the behavior visualization apparatus 101 according to the embodiment of this invention.
  • the behavior visualization device 101 includes a display device 102, a behavior visualization unit 103, an instruction device 104, a network connection unit 105, and a storage unit 106.
  • the storage unit 106 stores flow line information 107, store layout information 108, transaction information 109, passage area information 110, shelf allocation information 111, inventory information 112, and the like.
  • the behavior visualization apparatus 101 can be configured by a computer such as a smartphone, a tablet terminal, a business terminal, a PC, or a virtual machine. Further, FIG. 1 shows the configuration of the behavior visualization device 101, but each component may be mounted on a different behavior visualization device 101. For example, in the case of a tablet terminal, necessary information may be received via the network connection unit 105 and displayed on the display device 102 (for example, the screen of the tablet terminal).
  • FIG. 2 is a block diagram showing a physical configuration of the behavior visualization apparatus 101.
  • the behavior visualization device 101 of this embodiment is configured by a computer having a processor (CPU) 1, a memory 2, an auxiliary storage device 3, and a communication interface 4.
  • CPU central processing unit
  • the processor 1 executes a program stored in the memory 2.
  • the memory 2 includes a ROM that is a nonvolatile storage element and a RAM that is a volatile storage element.
  • the ROM stores an immutable program (for example, BIOS).
  • BIOS basic input/output
  • the RAM is a high-speed and volatile storage element such as DRAM (Dynamic Random Access Memory), and temporarily stores a program executed by the processor 1 and data used when the program is executed.
  • the auxiliary storage device 3 constitutes the storage unit 106 and is, for example, a large-capacity and nonvolatile storage device such as a magnetic storage device (HDD) or a flash memory (SSD).
  • the program executed by the processor 1 and execution of the program Stores data used at times. That is, the program is read from the auxiliary storage device 3, loaded into the memory 2, and executed by the processor 1.
  • the communication interface 4 is a network interface device that constitutes the network connection unit 105 and controls communication with other devices according to a predetermined protocol.
  • the behavior visualization apparatus 101 includes an input interface 5 and an output interface 8.
  • the input interface 5 constitutes the pointing device 104 and is an interface that receives input from an operator.
  • the input interface 5 is a mouse, a keyboard, a touch panel, a pen, an acceleration sensor, a microphone, or the like.
  • the acceleration sensor can input information by vibrating the smartphone in a specific pattern.
  • the microphone can input information according to the voice of the user.
  • the output interface 8 is a display device 9 or a printer, and is an interface that outputs the execution result of the program in a format that can be visually recognized by the operator.
  • a program executed by the processor 1 is provided to the behavior visualization device 101 via a removable medium (CD-ROM, flash memory, etc.) or a network, and is stored in the nonvolatile auxiliary storage device 3 that is a non-temporary storage medium. .
  • the behavior visualization apparatus 101 may have an interface for reading data from a removable medium.
  • the behavior visualization apparatus 101 is a computer system configured on a single physical computer or a plurality of logically or physically configured computers, and operates in a separate thread on the same computer. It may be possible to operate on a virtual machine constructed on a plurality of physical computer resources. Moreover, each function part of the behavior visualization apparatus 101 may be implement
  • FIG. 3 is a diagram illustrating a configuration example of the flow line information 107.
  • the flow line information 107 shown in FIG. 3 can be obtained using the technique disclosed in Non-Patent Document 1, for example.
  • the flow line information 107 includes a customer ID 201 for uniquely identifying a customer, a time 202 when the customer's position is measured, and a two-dimensional position (x coordinate 203 in the customer's store). , Y-coordinates 204) are stored, for example, in time series.
  • the flow line information 107 may include customer attributes (for example, gender, age).
  • customer attributes for example, gender, age.
  • the attribute of a customer can obtain a gender and age by analyzing a face image taken at the entrance of a store.
  • the gender and age registered on the store membership card can be used.
  • FIG. 4 is a diagram illustrating a configuration example of the store layout information 108.
  • Store layout information 108 is information in which locations such as store entrances 302, passages 301, product shelves 304, and cash registers 303 are recorded, and is in the form of, for example, an image file.
  • FIG. 5 is a diagram illustrating a configuration example of the transaction information 109.
  • the transaction information 109 records the details of a transaction created when a customer purchases a product at a cash register or the like.
  • the transaction information 109 includes a transaction date and time 401, a transaction number 402, a cash register number 403, and a total amount 404 for each record.
  • One record includes data of one or more purchased products, that is, product ID 405, product name 406, product classification ID 407, product classification name 408, quantity 409, and unit price 410.
  • the transaction date 401 records the date and time when the transaction was made at the cash register. In the illustrated example, it is 11:22 on February 10, 2015, and the time is recorded in units of minutes. This is because, depending on the cash register, the transaction date and time may be recorded only up to the minute unit, so the transaction information may be recorded in time according to the cash register recording unit. Note that the time recording unit may be not a minute but a time of seconds or less.
  • the transaction number 402 is a number for distinguishing a plurality of transactions, and is 1234 in the illustrated example. For example, the transaction number 402 may be incremented by 1 for each transaction starting from 1, but the transaction number 402 may be determined by other rules.
  • the cash register number 403 is an identifier for identifying the cash register. In the illustrated example, it is 1.
  • the total price 404 is the total price of purchased products.
  • the product ID 405 is an identifier for identifying the purchased product.
  • P0001, P0002, and P0003 are recorded for each purchased product.
  • the product name 406 is the name of the purchased product. In the illustrated example, they are sandwich A, tea, and sandwich B.
  • the product classification ID 407 is an identifier for classifying products according to the characteristics of the products. In the illustrated example, since “sandwich A” and “sandwich B” can be classified as “bread”, both have the same product classification ID 407 “C00A”.
  • the product category name 408 is the name of the product category. In the illustrated example, they are bread and beverages.
  • Quantity 409 is the number of each product purchased.
  • the unit price 410 is a price per product.
  • the transaction information 109 may include a customer membership number.
  • a customer who presents a membership card (for example, a point card) at a cash register can know its attributes (for example, gender, age, place of residence).
  • FIG. 6 is a diagram illustrating a configuration example of the passage area information 110.
  • the passage area information 110 includes passage location information and information for determining whether the vehicle has stopped in the passage, and includes a passage area name 501, a passage area area 502, and a stop determination condition 503.
  • the passage area name 501 is the name of the passage area.
  • the passage area area 502 is an area for determining stoppage.
  • the stop determination condition 503 is a condition for determining whether the flow line existing in the passage area 502 is stopped.
  • the passage area name 501 is “area 1”
  • the passage area area 502 is a rectangular area (X1, Y1)-(X2, Y2) indicating “area 1”.
  • the passage area region 502 is not rectangular and may have any shape.
  • a stop determination condition 503 for determining a stop is defined as “stay in area 1 for 5 seconds or longer”.
  • the passage area information 110 may include a condition for determining a stop at the lowest speed in the area in addition to the illustrated information. Moreover, you may use the information which the sensor provided in the merchandise shelf acquired together, and that the customer is facing the shelf may be used for the determination criterion of a stop.
  • FIG. 7 is a diagram illustrating a configuration example of the shelf allocation information 111.
  • the shelf allocation information 111 is information for associating the position of the section on the product shelf in the store with the product classification ID 407 of the product displayed in each product section, and stores the product section name 601, the product classification 602, and the product section area 603. Including.
  • Product division name 601 is the name of the product division.
  • the product category 602 is a product category ID 407 of a product displayed in the product section, and may include a plurality of product category IDs 407.
  • the product division area 603 indicates the position of the product division in the store. Note that the product partition area 603 is not rectangular and may have any shape.
  • FIG. 8 is a diagram illustrating a configuration example of the inventory information 112.
  • the inventory information 112 is information in which the number of products in stock is recorded at each time for each product, and includes a product ID 405, a date 1001, and a time-based inventory number 1002.
  • Date 1001 is the date when the number of inventory was recorded.
  • the stock quantity by time 1002 indicates the stock quantity at each time of the product specified by the product ID 405.
  • the stock of the product whose product ID 405 is “P0001” is 1 at 0 and 5 at 1 o'clock.
  • the increase in inventory from 1 to 5 indicates that the product has been delivered from 0 to 1 and the inventory has increased.
  • the user starts processing of the behavior visualization unit 103 from an application, a web browser, or the like.
  • the processing of the behavior visualization unit 103 will be described using the flowchart of FIG.
  • the display of the screen described in this specification is an example, and is not limited to the illustrated one. You may display so that it may overlap with the existing screen as needed. For example, since a smartphone has a low screen resolution, it may be difficult to display a plurality of screens side by side. For this reason, as described above, a plurality of screens may be displayed so as to overlap each other.
  • FIG. 9 is a diagram illustrating an example of a screen generated by the behavior visualization unit 103.
  • the screen example shown in FIG. 9 includes a gender selection area 701, an age selection area 702, a stay time selection area 703, a store layout information display area 704, a male / female ratio graph 709, average statistical information 710, and a stopped person / purchase rate graph 711. .
  • a heat map 705 using the total quantity or total amount a heat map 706 using the number of people staying, an alert icon 707, and alert contents 708 are displayed. It should be noted that at least one of the gender ratio graph 709, the average statistical information 710, and the number of stopped persons / purchase rate graph 711 may be displayed even if not all are displayed.
  • the gender selection area 701 is an area for selecting gender, that is, male or female. According to the selection result of the gender selection area 701, only information that matches the specified gender in the flow line information 107 is filtered. In addition, as an index for selecting a gender, options may be identified by an image or the like instead of characters such as “male” and “female”.
  • the age selection area 702 is an area for selecting an age range, that is, “10's”, “20's”, “30's”, “40's”, “50's”, and “60 or more”. According to the selection result of the age selection area 702, only information that matches the age of the specified range in the flow line information 107 is filtered. In addition, as an index for selecting the age range, options may be identified by an image or the like instead of characters such as “teens”. Further, the age group may be arbitrarily changed other than that shown in the figure. For example, “under 20 years old”, “20 years old and under 40 years old”, and “40 years old and over” may be used.
  • the stay time selection area 703 is an area for selecting a stay time in the store, that is, a customer staying in the store “less than 1 minute”, “less than 5 minutes”, and “5 minutes or more”. Based on the selection result of the stay time selection area 703, only information that matches the stay time in the specified range in the flow line information 107 is filtered.
  • the option may be identified by an image or the like instead of characters such as “less than 1 minute”.
  • the stay time category may be arbitrarily changed from those shown in the figure. For example, “less than 3 minutes” or “more than 3 minutes” may be used.
  • FIG. 10 is a flowchart of processing in which the behavior visualization unit 103 generates the screen of FIG. Note that the user can select the gender selection area 701, the age selection area 702, the stay time selection area 703, the alert icon 707, etc. at any time, and executes processing from an appropriate location at the selected timing.
  • step S901 the number of customers who have stopped is calculated for each passage area area 502 using the passage area information 110 and the flow line information 107, and displayed in a superimposed manner on the store layout information display area 704.
  • customers who have stopped in accordance with the conditions set in the gender selection area 701, the age selection area 702, and the stay time selection area 703 are filtered, and only those who meet the conditions are displayed on the heat map 706.
  • the gender and age are not shown, but are specified in the gender and / or age (or age) included in the flow line information 107 and the gender and / or age selection area 702 specified in the gender selection area 701. Compare the generated ages and extract only the matching lines.
  • the stay time data for each customer ID 201 is extracted from the flow line information 107, and for each customer ID 201, the difference between the latest time and the earliest time of data appears as the stay time selection area 703. Compared with the staying time specified in step (1), only the data of the customer ID 201 that matches the conditions is extracted.
  • step S902 using the transaction information 109 and the shelf allocation information 111, the total quantity and the total amount of the products displayed in the product section area 603 are calculated for each product section area 603, and the store layout information It is displayed superimposed on the display area 704.
  • the display may be both the total quantity and the total amount, or one of them.
  • customers are filtered according to the conditions set in the gender selection area 701, the age selection area 702, and the stay time selection area 703, and only those who meet the conditions are displayed on the heat map 705.
  • the filtering method may be the same as the processing described in step S901.
  • a heat map is created based on the information calculated in steps S901 and S902.
  • a heat map 705 using the total quantity or total amount and a heat map 706 using the number of people staying are created.
  • the two created heat maps may be displayed in a superimposed manner, or may be switched and displayed.
  • the display mode (for example, color, brightness, pattern, etc.) is changed and displayed according to the number of parked people. For example, the larger the number of stops, the blacker the color, and the smaller the number, the closer to white.
  • Various colors may be used depending on a predetermined gradation.
  • the heat map for each product partition area 603 can also be generated in the same manner as described above using the total quantity or the total amount.
  • step S904 an index is calculated from the flow line information 107 and the transaction information 109 for each product segment area 603, and when the calculated index exceeds a predetermined threshold, the number of parked people is large and the number of product purchasers is small. Judgment is made and an alert for alerting the operator is displayed. Examples of indicators are shown below.
  • Purchase rate % of the number of people who purchased the product out of the number of people in the stop area 502 set in the passage in front of the product
  • the alert is displayed with an alert icon 707 superimposed on a position on the store layout information display area 704 corresponding to the display position of the product exceeding the threshold.
  • Step S905 is executed when the user selects the alert icon 707, and the alert content 708 is displayed.
  • the alert content 708 may display the product for which the alert is displayed, the number of people in the passage area in front of the product, and the purchase rate of the product.
  • a gender ratio graph 709 is displayed.
  • the gender ratio graph 709 is a graph showing the gender composition ratio of customers who have purchased products for which alerts are to be displayed based on the transaction information 109.
  • the pie chart is used.
  • customers are filtered according to the conditions set in the gender selection area 701, the age selection area 702, and the stay time selection area 703, and only those who meet the conditions are displayed in the gender ratio graph 709.
  • the filtering method may be the same as the processing described in step S901.
  • step S907 the average statistical information 710 is displayed.
  • the average statistical information 710 indicates the past purchase of the product, such as the average purchase price, average purchase points, average number of stops in the passage area in front of the product, average purchase rate, etc. It is a statistical value of data.
  • customers are filtered according to the conditions set in the gender selection area 701, the age selection area 702, and the stay time selection area 703, and only the purchase data of people who meet the conditions are displayed in the average statistical information 710.
  • the filtering method may be the same as the processing described in step S901.
  • step S908 the stop number / purchase rate graph 711 is displayed.
  • the number of stops / purchase rate graph 711 is a graph showing the purchase rate for each day of the product for which the alert is displayed and the number of stops in the passage area in front of the product shelf of the product during a predetermined period.
  • the bar graph and the line graph are shown, but other types of graphs and numerical values may be displayed.
  • the customers are filtered according to the conditions set in the gender selection area 701, the age selection area 702, and the stay time selection area 703, and only those who meet the conditions are displayed in the stopped person / purchase rate graph 711.
  • the filtering method may be the same as the processing described in step S901.
  • the processing of the behavior visualization unit 103 will be described using the flowchart of FIG.
  • the display of the screen described in this specification is an example, and is not limited to the illustrated one. You may display so that it may overlap with the existing screen as needed. For example, since a smartphone has a low screen resolution, it may be difficult to display a plurality of screens side by side. For this reason, as described above, a plurality of screens may be displayed so as to overlap each other.
  • FIG. 11 is a diagram illustrating an example of an image generated by the behavior visualization unit 103.
  • 11 includes a gender selection area 701, an age selection area 702, and a store layout information display area 704.
  • the store layout information display area 704 an immediately leaving store flow line 801, an alert icon 707, and an immediately leaving store number / inventory amount graph 802 for each time zone are displayed.
  • the immediate exit store flow line 801 and the immediately exit store number / inventory amount graph 802 may be displayed at least one, even if not all are displayed.
  • Immediately leaving stores refers to customers who have stopped by a specific product shelf but left the store without purchasing a product and traveling around the store. Whether it is determined that the circuit has been migrated is defined in advance according to store characteristics. Immediately leaving store flow lines 801A and 801B are flow lines in the store of the customer who has immediately left the store.
  • FIG. 10 is a flowchart of processing in which the behavior visualization unit 103 generates the screen of FIG. Note that the user can select the gender selection area 701, the age selection area 702, the alert icon 707, etc. at any time, and executes processing from an appropriate location at the selected timing.
  • step S1101 a store clerk is searched for based on the index calculated from the flow line information 107 for each product section. For example, by calculating the next index for each customer ID 201 of the flow line information 107 and comparing each calculated index with a predetermined threshold, it is possible to determine whether or not the store is immediately closed.
  • the flow line information stopped according to the conditions set in the gender selection area 701 and the age selection area 702 is filtered to extract only the flow lines that match the conditions.
  • the gender and age are not shown, but are specified in the gender and / or age (or age) included in the flow line information 107 and the gender and / or age selection area 702 specified in the gender selection area 701. Compare the generated ages and extract only the matching lines.
  • Time from entry to exit (2) Length of flow line (3) Number of parked areas (4) Is U-turn in front of a specific product shelf For example, from entry to exit If you know that the stay in the store is short, such as the time is less than 1 minute, the length of the flow line is 30 meters or less, and only stops in the area where the specific product is displayed, then return to the exit It can be determined that the customer has left the store without purchasing the product.
  • a stock quantity is calculated for each product section area 603, a predetermined index is calculated by comparing the stock quantity and the number of shoppers in the product section area 603, and the calculated index is determined in advance. Based on the comparison result with the threshold value, an alert icon 707 for alerting the operator to the store layout information display area 704 is superimposed and displayed. For example, if the index is the number of immediately leaving stores ⁇ the amount of inventory, the index increases when there are many immediately leaving stores and there are few products displayed on the product shelf. Therefore, the alert icon 707 is displayed when the index exceeds a predetermined threshold. Note that the alert icon 707 may be displayed when the inventory quantity is smaller than a predetermined threshold and the number of shoppers immediately exceeds a predetermined threshold.
  • the stock quantity is calculated based on the stock information 112 in the product partition area 603, and the total number of stocks in the product partition area 603 is obtained for each time. It is good to define it by the ratio of the total number of inventory at each time.
  • the definition of the inventory quantity described above is an example, and other definitions may be used. For example, when the same product is displayed in a plurality of columns of the product shelf, the inventory quantity may be added with a weight in consideration of the display area of the product.
  • step S1103 the process is executed when the user selects the alert icon 707, and some (or one) flow line representative of the immediately leaving store in the product section area 603 is displayed. For example, it is only necessary to extract and display a flow line (main flow line) having a lot of similarities among the flow lines of all immediately leaving stores. A typical flow line may be defined.
  • step S1104 the number of immediately leaving stores / inventory amount graph 802 for each time zone is displayed superimposed on the store layout information display area 704.
  • the flow line information is filtered in accordance with the conditions set in the gender selection area 701 and the age selection area 702, and only those who satisfy the conditions are displayed in the immediately-leaved shop number / inventory quantity graph 802.
  • the filtering method may be the same as the processing described in step S1101.
  • the number of immediately leaving stores and the stock quantity in the product section area 603 calculated in steps S1101 and S1102 are displayed on a graph with the time axis as the horizontal axis. In FIG. 11, it is represented by a line graph, but it may be displayed by other types of graphs or numerical values.
  • the behavior visualization unit 103 analyzes the flow line information 107 with reference to the passage area information 110, determines a stop for each area in the store, Referring to the shelf allocation information 111, the number of purchases or purchase price of each product shelf is totaled, and the number of stops for each area and the total number of purchases or purchase price of the product are superimposed on the store layout. Therefore, the information obtained from the flow line information and the transaction information can be viewed in association with each other. And measures for store improvement can be examined. Specifically, the following business value is born.
  • the behavior visualization unit 103 sets the received filtering condition to the received filtering condition. Since the number of stops that match and the number of purchases or purchase price of the merchandise are displayed (FIG. 9), it is possible to analyze customer trends by narrowing down the target layer.
  • the behavior visualization unit 103 superimposes the alert icon 707 on the store layout when the number of stops before the product shelf section is large and the number of purchases or purchase price displayed on the product in the product shelf section is small. Are displayed (FIG. 9). In other words, if the purchase rate (number of sales divided by number of stops, amount of sales divided by number of stops) exceeds a certain threshold, it is determined that there are many stops but the number of sales and the amount of sales is small. Can be found.
  • the behavior visualization unit 103 displays the statistical information of the product (FIG. 9). That is, at least one of the ratio 709 of the purchaser of the product, the statistical value 710 of the past purchase data of the product, and the relationship between the number of purchases of the product and the number of stops before the product shelf of the product. Since the information is displayed, it is possible to obtain detailed information on the target product.
  • the behavior visualization unit 103 extracts the immediately leaving store who matches a predetermined condition from the flow line information 107, and displays the extracted immediately leaving store flow lines 801A and 801B (FIG. 11).
  • the store exit is immediately determined. Information on shopkeepers who do not lead to sales can be obtained immediately.
  • the behavior visualization unit 103 refers to the inventory information 112 and, for each product shelf targeted by the immediately leaving store, the alert icon 707 when the number of immediately leaving stores and the inventory information 112 satisfy predetermined conditions. Is superimposed on the position of the product shelf in the store layout (FIG. 11). That is, since the inventory amount of the product is quantified and the alert is displayed by comparing the inventory amount with the number of shoppers immediately leaving, it is possible to reduce the opportunity loss due to avoiding the shortage condition.
  • the behavior visualization unit 103 operates the flow line of the immediately leaving store, the statistical value of past purchase data of the product, the number of purchases of the product and the product shelf of the product. Since at least one of the graphs showing the relationship with the number of stops before is displayed (FIG. 11), it is possible to obtain detailed information on the products related to the shopkeeper immediately.
  • the present invention is not limited to the above-described embodiments, and includes various modifications and equivalent configurations within the scope of the appended claims.
  • the above-described embodiments have been described in detail for easy understanding of the present invention, and the present invention is not necessarily limited to those having all the configurations described.
  • a part of the configuration of one embodiment may be replaced with the configuration of another embodiment.
  • another configuration may be added, deleted, or replaced.
  • each of the above-described configurations, functions, processing units, processing means, etc. may be realized in hardware by designing a part or all of them, for example, with an integrated circuit, and the processor realizes each function. It may be realized by software by interpreting and executing the program to be executed.
  • Information such as programs, tables, and files that realize each function can be stored in a storage device such as a memory, a hard disk, and an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, and a DVD.
  • a storage device such as a memory, a hard disk, and an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, and a DVD.
  • control lines and information lines indicate what is considered necessary for the explanation, and do not necessarily indicate all control lines and information lines necessary for mounting. In practice, it can be considered that almost all the components are connected to each other.

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Abstract

La présente invention concerne un procédé selon lequel l'accès est autorisé aux éléments suivants: une information de ligne de flux qui comprend un historique du mouvement de personnes mesuré par un dispositif de mesure de position; une information de transaction qui comprend une information concernant des règlements de transaction de produit; une information de zone de passage qui comprend une condition pour déterminer un arrêt dans une région prescrite; et une information d'attribution d'étagères dans laquelle sont enregistrés des produits présentés sur une étagère de produits dans des rayons prescrits. La présente invention concerne également une unité de visualisation d'actions qui génère une information visualisant une action d'une personne à partir de l'information de ligne de flux. L'action unité de visualisation: référence l'information de zone de passage pour analyser l'information de ligne de flux; détermine un arrêt pour chaque zone à l'intérieur d'un magasin; référence l'information de transaction et l'information d'attribution d'étagères pour compiler le nombre de produits achetés ou la quantité d'achat pour chaque rayon de l'étagère de produits; et émet en sortie des données d'écran pour une représentation graphique, en superposant sur une plan d'ensemble du magasin, le nombre d'arrêts et le nombre d'achats compilés ou la quantité d'achat pour chaque zone.
PCT/JP2016/050326 2015-04-27 2016-01-07 Système d'analyse d'action et procédé d'analyse d'action WO2016174878A1 (fr)

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WO2019124176A1 (fr) * 2017-12-20 2019-06-27 Ｎｅｃプラットフォームズ株式会社 Dispositif d'analyse de ventes, système de gestion de ventes, procédé d'analyse de ventes et support d'enregistrement de programme
CN114463073A (zh) * 2022-04-08 2022-05-10 深圳市瓴风科技有限公司 基于用户行为的样品展示售卖方法及系统
WO2022259865A1 (fr) * 2021-06-11 2022-12-15 パナソニックＩｐマネジメント株式会社 Dispositif de support d'opération en magasin et procédé de support d'opération en magasin

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JP6965713B2 (ja) * 2017-12-12 2021-11-10 富士フイルムビジネスイノベーション株式会社 情報処理装置及びプログラム
JP6912791B2 (ja) * 2017-12-20 2021-08-04 Ｎｅｃプラットフォームズ株式会社 販売分析装置、販売管理システム、販売分析方法、及びプログラム
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JP7149206B2 (ja) * 2019-03-08 2022-10-06 本田技研工業株式会社 情報分析装置及び情報分析方法
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CN114463073B (zh) * 2022-04-08 2022-07-05 深圳市瓴风科技有限公司 基于用户行为的样品展示售卖方法及系统

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