TWI599979B - Method and device for selecting store location - Google Patents

Description

Store location method and device thereof

The invention relates to a store location method and a device thereof, in particular to a store location method and a device thereof for integrating multiple information and actively analyzing.

When existing store developers want to develop new objects (stores), they must go to the site to conduct on-site picking points to investigate various factors that may affect the daily turnover of the objects, such as the number and distance of nearby competitors, and the passage of nearby pedestrians and motorcycles. The direction and quantity, the source type or age distribution, the customer unit price, the number of nearby households, the structure of the objects, etc., after the store developer has completed the data collection and investigation, fill in the survey point and weight the above factors. After averaging, to calculate the estimated daily turnover of the object in the future, if it meets the conditions, it is suitable to set up a new store at the location of the object.

However, the following questions will be taken from the manual to the site survey:

1. Sampling error problem: The survey time selected by the store developer will affect the accuracy of the survey. For example, weekdays or holidays, morning or afternoon, cold weather or hot weather will cause errors in the survey.

2. Human error: the number of points collected by the store developer on site There are gaps or judgment errors that cause human error.

3. The inaccurate problem of the survey point is: the wrong type of picking point survey or the survey point of the picking point, the weight setting is wrong, and the picking point survey is inaccurate.

As can be seen from the above, when a store developer manually conducts an on-site pick-up survey and produces a survey point, it is susceptible to external factors and has sampling and human error and inaccurate data.

As mentioned above, existing store developers use manual methods to conduct on-site surveys, which are susceptible to external factors and cause errors and inaccuracies. Therefore, the main purpose of the present invention is to provide a store location method and apparatus thereof. Proactively identify the number of customers in the store and analyze the characteristics of the business district in which the object is located in the database to confirm whether the object location is suitable for setting up a new store, and to solve the existing error in the manual site survey that is susceptible to external factors. The exact problem.

The main technical means adopted to achieve the above objectives is to order the above-mentioned store location method, including the steps of collecting actual business data, and to collect the addresses, turnover, consumption times and actual number of pedestrians in existing stores. The relationship between the number of pedestrians in the existing store and the turnover; the step of obtaining the information of the location of the store to be set up is the number of people who want to set up the store, as the point of collection; The step of evaluating the turnover of the store to be set is based on the location of the store to be selected, and the number of pedestrians in the selected store is obtained from the relationship between the number of pedestrians and the turnover of the store, and the relationship between the number of pedestrians and the turnover and the data of the points are calculated. Set the turnover of the store.

The main technical means for achieving the foregoing purpose is that the store location selection device includes: a plurality of image capture modules, each image capture module is disposed at an entrance of an existing store to obtain an image of the doorway; The server is electrically connected to the image capturing module, and includes: an identification unit, which acquires images of image capturing modules installed in each existing store, and identifies the number of pedestrians in each existing store; a comparison unit, Based on the number of pedestrians in each existing store in the identification unit and the turnover of the POS machine in which the existing store is pre-stored, the relationship between the number of pedestrians in each existing store and its turnover is compared; a computing unit is obtained through a user interface. a location of the store to be located and the estimated number of pedestrians, and selecting the adjacent store according to the location of the store to be located, reading the number of pedestrians adjacent to the existing store from the comparison unit and its turnover relationship, and then reading according to Calculate the estimated turnover of the store to be set up by the number of pedestrians in the existing store and its turnover and the estimated number of pedestrians in the store to be set up.

Using the store location method and device of the foregoing components, the image capture module obtains the image of the existing store door and calculates the existing store. The number of pedestrians is related to their turnover. Therefore, as long as the location of the store to be located is selected to be adjacent to the existing store, the pre-collected number of pedestrians in the adjacent store is read and its turnover relationship, and then the number of pedestrians in the adjacent store is read and The turnover relationship and the estimated number of pedestrians in the store to be calculated can calculate the estimated turnover of the store to be confirmed, thereby confirming whether the location is suitable for setting up a new store, and no additional manpower and time is required for the survey of the site. It can reduce the occurrence of errors and solve the problems of errors and inaccuracies that are caused by external factors in the manual field survey.

10‧‧‧Image capture module

11‧‧‧ camera

20‧‧‧Server

21‧‧‧ Identification unit

22‧‧‧ comparison unit

23‧‧‧Computation unit

24‧‧‧Display unit

30‧‧‧Data transmission module

41‧‧‧ Existing store

42‧‧‧Stores to be established

50‧‧‧Pedestrians

61‧‧‧Information Sheet

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a block diagram of a circuit in accordance with a preferred embodiment of the present invention.

Figure 2 is a schematic illustration of a preferred embodiment of the invention.

3 is a schematic diagram of detection of an identification unit in accordance with a preferred embodiment of the present invention.

4 is a schematic illustration of a comparison unit in accordance with a preferred embodiment of the present invention.

Figure 5 is a schematic illustration of a computing unit in accordance with a preferred embodiment of the present invention.

Figure 6 is a schematic illustration of a map map of a preferred embodiment of the present invention.

For the preferred embodiment of the present invention, as shown in FIGS. 1 and 2, the store location device includes an image capture module 10 and a server 20, wherein the image capture module 10 is coupled to the server 20. The electrical connection can also be transmitted to the server 20 through a data transmission module 30, and the data transmission module 30 can transmit signals in a wireless or wired manner. , such as WiFi or Ethernet protocols.

The image capturing module 10 includes a plurality of cameras 11 , and each image capturing module 10 is disposed above a door of an existing store 41 to obtain images of a plurality of pedestrians 50 of the plurality of existing stores 41 passing through the doorway thereof. .

The server 20 includes an identification unit 21, a comparison unit 22 and a calculation unit 23, wherein the identification unit 21 obtains images captured by the camera 11 directly or through the data transmission module 30, please refer to FIG. The identification unit 21 has an image recognition method, such as a face recognition program, to identify the gender of the pedestrian 50 and the pedestrian 50 in the biometric image, and count the number of pedestrians, and then judge the traveling party of the identified pedestrian 50 The number of people at the door and the number of people entering the store are then converted into a data sheet 61 containing the age or gender of the pedestrian.

Referring to FIG. 1 and FIG. 4, the comparison unit 22 of the server 20 is connected to the identification unit 31, and the data of the data table 61 of the identification unit 21 is stored as a pedestrian database, and the plurality of existing stores 41 are obtained. Sales information recorded by the POS machine. The sales information includes the number of people entering the store, the number of people who shop, the gender, or the daily turnover, consumption times, sales items, gross profit margin or collection pens. Number, or fixed (not easy to change) rent, ping number, moving line, store width, layout or plane configuration data; wherein the matching unit 22 obtains the number of pedestrians in the existing stores 41 and the number of people entering the store, and Divide the number of visitors into the number of visitors, Calculate the entry rate, and then divide the daily turnover by the number of daily consumption to calculate the customer unit price; thus, you can compare the number of pedestrians in each existing store with the turnover.

The computing unit 23 is connected to the comparison unit 22, and obtains a location of the store 42 and its estimated number of pedestrians through a user interface, and selects the adjacent store 41 according to the location of the store 42 to be located. The relationship between the number of pedestrians adjacent to the existing store 41 and the turnover thereof is read from the comparison unit 22, and the number of pedestrians adjacent to the existing store 41 is calculated based on the relationship between the number of pedestrians adjacent to the existing store 41 and the estimated number of pedestrians of the store 42 to be set. Estimated turnover of store 42.

In summary, the server 20 executes a store location method, and the store location method includes the steps of: collecting actual business data steps, collecting the addresses, turnover information, and consumption times of the plurality of existing stores 41; Consolidation; the business information includes the number of people entering the store, the number of people who shop, the gender, or the daily turnover, consumption, sales, gross profit or collection. Or fixed (not easy to change) rent, ping number, moving line, store width, layout or plan configuration data; among them, the number of pedestrians in each existing store 41 is divided by the number of people at the door to calculate the entry rate. Then divide the daily turnover by the number of daily consumption and calculate the customer unit price, so that you can get the relationship between the number of pedestrians in each existing store and its turnover.

Obtaining the data of the location of the store 42 to be collected, the image recognition side The number of people passing through the store 42 to be counted is used as the point data.

The step of evaluating the turnover of the store to be set 42 is to select the existing store 41 around the store according to the location of the store 42 to be located, and obtain the relationship between the number of pedestrians of the selected existing store 41 and its turnover, and according to each selected existing store pedestrian. The relationship between the quantity and its turnover and the information of the store 42 to be collected can calculate the turnover of the store 42 to be set. Preferably, the number of people entering the store 42 is estimated by multiplying the entry rate of each selected store 41 (the number of people to be set in the store 42), and the existing number of stores 42 is estimated. The customer unit price of the store 41 is multiplied by the number of customers entering the store, and the estimated turnover of the store 42 based on the relationship between the number of pedestrians of each existing store 41 and its turnover can be estimated.

Referring to FIG. 5, the server 20 estimates the estimated turnover based on a period of time in the day when the store 42 is to be set, and the time period sampled as shown in the figure is 17:00 to 19:00. Calculate the number of pedestrians 50 passing through the entrance of the store 42 during the period, and then estimate the total number of pedestrians 50 throughout the day (24 hours), get the total number of pedestrians throughout the day, and then take the store obtained by the nearby store 41. The rate is multiplied by the average customer unit price, and finally the estimated daily turnover of the store 42 to be located is available.

Referring to FIG. 6, the server 20 obtains the address of the store 42 to be set by using the user interface, and a display unit 24 displays an electronic map including the address of the store 42 to be located according to the address. The location of the selected store is indicated on the electronic map, and the estimated turnover is further displayed at the address of the store 42 to be located, and the existing stores 41 (A, B, C, D) have been selected. Show business information. As for the existing store 41 that selects the to-be-stored store 42 on the electronic map, a radius range may be set at a specific distance centering on the address of the store 42 to be set, and the existing store 41 falling within the radius may be marked. That is, the existing store 41 has been selected; in order to make the estimated turnover of the store 42 to be more accurate, the setting of the radius range can be adjusted according to the density of the store.

The above electronic map system may be a flat aerial picture, a stereoscopic structure and an actual street view or a geographic information map (GIS).

The following is a further example of how the estimated daily turnover of the store 42 to be stored is calculated. Assume that the pedestrian transit time of the store 42 is 17:00~19:00, and the number of pedestrians passing during this period is 600 by the image recognition method, and the data of the store 42 is displayed. :00~19:00) The proportion of pedestrians in the whole day (0:00~24:00) is 20%, so it is estimated that the pedestrians in the store 42 all day (24 hours) have a traffic volume of about 600/ 20%=3000 people, and the pedestrian entry rate of the existing store 41 (A) is 30%, the customer unit price is 65 yuan, and the number of pedestrians to be set up in the store 42 is 3,000, so the store 42 is required to enter the store. The number of passengers is estimated to be 3,000 people * 30% = 900 people, so the daily turnover of the store 42 to be set can be estimated to be 900 people * 65 yuan = 58,500 yuan.

According to this step, the daily turnover of the store 42 to be stored is calculated by the existing store 41 (B, C, D) data of the same business circle, and the possible Japanese business range of the store 42 to be set can be derived. By way of an example, the daily turnover of the store 42 to be calculated based on the entry rate and the customer unit price of the existing store 41 (A) is 58500 yuan as described in the previous paragraph, and the existing store 41 (B) is used according to the same calculation method. The in-store rate and the customer unit price estimate the daily turnover of the store 42 to be 47,000 yuan, and the entry rate of the existing store 41 (C) and the customer unit price estimate the daily turnover of the store 42 to be 55,000 yuan, and the existing store 41 (D) The entry rate and the customer unit price estimate the daily turnover of the store 42 to be 75,000 yuan. Since the store 42 to be located is located between the existing stores 41 (A, B, C, D), it can be inferred that the store 42 is to be set up. The daily turnover will probably fall between 47,000 and 75,000 yuan.

After calculating the daily turnover of the store 42 to be set according to the above method, the confidence interval and risk (probability) of the daily turnover can be calculated, and as described above, the daily turnover is estimated by the existing store 41 (A). 58500 yuan, from the existing store 41 (B) estimated daily turnover of 47,000 yuan, from the existing store 41 (C) estimated daily turnover of 55,000 yuan, from the existing store 41 (D) estimated daily turnover of 75,000 yuan Assuming that the day-to-day amount of the profit and loss balance of the store 42 is set to 40,000 yuan, the four existing stores 41 (A, B, C, D) calculated from the above estimate that the daily turnover of the store 42 to be set is much higher than 40,000 yuan, so I am confident that the daily turnover of the store 42 will be between 47,000 and 75,000 yuan (trust interval), and the probability of failure to open a store = 0 / 4 = 0% (risk).

Because of the estimation by sampling or estimation methods, there are problems such as confidence interval, sampling error and estimation probability, so it can further compound the importance (such as strategic importance, business value or business opportunity) and compound risk (such as risk size, The current market position and object acquisition) weighted adjustment measures are measured.

In addition, the present invention can further integrate the geographic information of the pedestrian 50 entering the store, the direction of travel, the business data of the existing store 41, the fixed data and the electronic map layer stack to assist the judgment, as shown in the following table; each layer can be regarded as an independent individual, and is separately added. , replacement does not affect the analysis of other layers.

As can be seen from the above, the image capturing module 10 obtains the image of the door of the existing store 41, and calculates the relationship between the number of pedestrians in the existing store 41 and its turnover, so that the existing store 41 adjacent to the store 42 is selected by the location of the store 42 to be read. Taking the pre-collected number of pedestrians adjacent to the existing store 41 and its turnover relationship, according to the number of pedestrians and the turnover relationship of the existing store 41 and calculating the estimated number of pedestrians of the store 42 to be obtained, the store 42 can be obtained. Estimated turnover to confirm that the location is Whether it is suitable for setting up a new store, it does not require additional manpower and time to conduct a survey of the points of use and can reduce errors, and solve the problem of errors and inaccuracies arising from external factors that are subject to external factors.

In summary, the present invention does not require additional manpower and time for the survey of the point of occurrence and can reduce the occurrence of errors, and effectively solves the problem of the error and inaccuracy caused by the external factors in the manual field survey.

10‧‧‧Image capture module

11‧‧‧ camera

20‧‧‧Server

21‧‧‧ Identification unit

22‧‧‧ comparison unit

23‧‧‧Computation unit

24‧‧‧Display unit

30‧‧‧Data transmission module

Claims (13)

A store location method includes the steps of: collecting actual business data, and collecting the addresses, turnover, consumption times, and actual number of pedestrians in existing stores to compare the number of pedestrians in existing stores with their turnover; The step of collecting the location information of the store location is to obtain the number of people to be set up as the collection point data; the step of evaluating the turnover of the store to be set is to select the existing store according to the location of the store to be set up, and obtain the selected existing store. The relationship between the number of pedestrians and their turnover, based on the relationship between the number of pedestrians and their turnover and the data of the collection point, the turnover of the store to be set up, wherein the selection of the existing store is centered on the address of the store to be set, according to the store density a radius range, the existing store within the radius is selected; an electronic map containing the address of the store to be set is displayed according to the address of the store to be set, wherein the electronic map includes a geographic information map, and the geographic information map includes a stack a plurality of layers, the layers include: a pedestrian database layer, the system represents Set the customer's business circle; the pedestrian travel direction layer indicates the association between the store's address and the pedestrian's moving line; the existing store business data layer indicates the business information of the store's address area; and the existing store fixed data. The layer represents the fixed cost and construction plan of the store area to be set up; an electronic map layer indicates the geographic information of the store to be set up. The store location method as claimed in claim 1, wherein the number of pedestrians The relationship with the turnover includes the entry rate and the customer unit price, wherein: the above-mentioned entry rate is obtained by dividing the number of actual pedestrians by the number of visitors; and the above-mentioned customer price is calculated by dividing the turnover by the number of purchases. According to the store location method described in claim 2, the calculating the turnover of the store to be set includes the following steps; sequentially reading the entry rate and the customer unit price of the selected store; and selecting the site data of the store to be set up; Multiply the current entry rate of the selected store to estimate the expected number of visitors to the store; and multiply the expected number of visitors by the customer's unit price, that is, calculate the turnover of the store to be set up. The store location method described in claim 3, wherein the turnover is a daily turnover, and the actual number of pedestrians in each existing store includes the number of daily visitors and the number of daily visitors. According to the store location method described in claim 4, the step of collecting the actual business information further includes the daily turnover, the sales item, the gross profit rate or the number of collections of the daily changes of the existing stores. According to the store location method described in claim 5, the step of collecting the actual business data further includes fixed or unchangeable rent, ping number, moving line, store width, layout or plane configuration data of each existing store. The store location method according to any one of claims 1 to 6, wherein the actual number of pedestrians in each of the existing stores is calculated by providing an image capture device at the door of each existing store to capture the image of the doorway, and then to image The identification method uses biometrics to identify pedestrians and pedestrians, and then identifies the pedestrians in the direction of the identified pedestrians, and counts the number of people entering the store. The store location method according to any one of claims 1 to 6, wherein the selected existing store location is marked on the electronic map, and the turnover of the store sales amount evaluation step is calculated at the store address to be set. . A store location device includes: a plurality of image capture modules, each image capture module is disposed at an entrance of an existing store to obtain an image of the doorway; and a server is electrically connected to the image capture module And including: an identification unit, which obtains images of image capturing modules installed in each existing store, and identifies the number of pedestrians in each existing store; a comparison unit is based on the number of pedestrians in each existing store in the identification unit And the turnover of the POS machine that has stored the existing store in advance, and compares the number of pedestrians in each existing store with its turnover; a computing unit obtains the location of a store to be set and the estimated number of pedestrians through a user interface And selecting the neighboring existing store according to the location of the store to be set, reading the number of pedestrians adjacent to the existing store from the comparison unit and its turnover relationship, and then according to the relationship between the number of pedestrians in the neighboring existing store and the turnover thereof The estimated number of pedestrians in the store to be set, and the estimated turnover of the store to be set, wherein the existing store is selected by the store address Heart, according to the store density setting a radius range, the existing store within the radius is selected; a display unit, the display unit displays an electronic map, wherein the electronic map includes a geographic information map, the geographic information map includes A plurality of layers stacked, the layers include: a pedestrian database layer, which represents a customer layer of the business circle to which the store is to be located; The traveling direction layer of a pedestrian indicates the relationship between the store address and the pedestrian moving line; the existing store business data layer indicates the business information of the store address area; and the existing store fixed data layer indicates the pending store. Regional fixed cost and building plan; an electronic map layer indicates the geographical information of the store to be set up. The store location device of claim 9, wherein the number of pedestrians identified by each identification store includes the number of pedestrians and the number of people entering the store; and the comparison unit compares the number of pedestrians in each existing store with the turnover thereof. Including the entry rate and the customer unit price, wherein: the above-mentioned entry rate is obtained by dividing the number of shoppers of the actual number of pedestrians by the number of people entering the store; and the above-mentioned customer unit price is obtained by dividing the turnover amount by the number of purchases. The store location device of claim 10, wherein the calculating unit calculates the estimated turnover of the store to be set, comprising the steps of: sequentially reading the entry rate of the selected store and the customer unit price; The estimated number of pedestrians is multiplied by the current entry rate of the selected store to estimate the estimated number of people entering the store; and the estimated number of visitors is multiplied by the customer's unit price, which is the calculated turnover of the store to be set up. The store location device according to claim 11, wherein the identification unit uses the biometric feature to identify the pedestrians and pedestrians in the image, and then identifies the pedestrians in the identified pedestrian direction, and collects statistics. In-store pedestrians. The store location device of any one of claims 10 to 12, wherein the server is coupled to the image capture module via a data transfer module.