Base point layout method and system for cigarette retail terminal

Abstract

The invention provides a base point layout method and system for a cigarette retail terminal, and relates to the technical field of computer terminal layouts, and the method comprises the steps: selecting a point selection region, carrying out the sales ranking of cigarette retail terminal users in the point selection region, and obtaining a sales ranking result; dividing the cigarette retail terminal users in the point selection area to obtain a user division result, and arranging base points for the user division result by using the sales ranking result to obtain a base point list of the layout; performing potential value prediction on potential layout base points outside the base point list to obtain value prediction values of the potential layout base points; and determining a base point list of the remaining layouts of the cigarette retail terminal based on the predicted value. The terminal user information can be effectively, comprehensively, accurately and quickly acquired, and the accuracy and comprehensiveness of terminal data statistics are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of computer terminal layout, and in particular to a base point layout method and system for a cigarette retail terminal. Background Art

[0002] With the booming development of the digital economy today, data has become a new type of production factor and the foundation of digitalization, networking and intelligence. For cigarette retail terminals, using digital forces such as big data and intelligent platforms to improve operational levels is of great significance to promoting the transformation of traditional cigarette retail stores into digital stores.

[0003] At present, some retail customers generally order cigarettes through the website designated by the Tobacco Monopoly Bureau. In order to promote the development of digital retail stores, a considerable number of retail customers also order through digital cigarette retail terminals. There are many cigarette retail outlets in my country. Real-time data collection and analysis through cigarette retail terminals facilitates efficient management of cigarette retail terminal users. The existing retail terminal layout is insufficient, and the collected data is not representative. Enterprises expect more retail customers to use modern terminals to obtain more comprehensive and accurate information on smoking consumers, but the number of retail terminal customers is limited. The distribution accuracy of terminal customers directly affects the accuracy and comprehensiveness of subsequent data collection, so it is necessary to plan its layout. For example, the prior art discloses a prediction system for the number of retail point layouts, comprising: a database module, which uses a MYSQL database and a Redis real-time database; a service layer module, which includes but is not limited to basic data maintenance, parameter settings, data interfaces, and a computing center; an application layer module, which has developed functions including but not limited to map mode, list mode, license prediction models, data import, data statistics, and role permissions; a terminal display module, which is operated by a computer PC; the modules are connected via configuration files and parsing programs; the service layer module and the application layer module are provided with system operation logs, permission control, and security access control, but the system terminal does not layout the number of retail stores by region, and the calculation complexity of the layout algorithm used is high, resulting in the inability to fully, accurately, and quickly obtain terminal user information, affecting the accuracy and comprehensiveness of terminal data statistics. Summary of the invention

[0004] In order to solve the problem that the above-mentioned prior art cigarette retail terminals are unable to fully, accurately and quickly obtain terminal user information, affecting the accuracy and comprehensiveness of terminal data statistics, the present invention proposes a base point layout method and system for cigarette retail terminals, which can effectively, fully, accurately and quickly obtain terminal user information, and ensure the accuracy and comprehensiveness of terminal data statistics.

[0005] In order to achieve the above technical effects, the technical solution of the present invention is as follows:

[0006] A method for arranging base points of a cigarette retail terminal comprises the following steps:

[0007] S1. Select a selected area, rank the sales volume of cigarette retail terminal users in the selected area, and obtain the sales volume ranking result;

[0008] S2. Divide the cigarette retail terminal users in the selected point area to obtain the user division results, use the sales ranking results to layout the base points of the user division results, and obtain a list of base points for the layout;

[0009] S3. Predicting the potential value of the potential layout base points outside the base point list to obtain the value prediction value of the potential layout base points;

[0010] S4. Based on the value prediction value, determine a list of base points for the remaining layout of cigarette retail terminals.

[0011] Preferably, the selecting of the point selection area includes: obtaining the number of point selection area layouts, setting point selection weights of the point selection area, and obtaining the point selection area according to the product result of the number of point selection area layouts and the point selection weights.

[0012] Preferably, the selected point area includes an urban network area and a rural network area.

[0013] Preferably, ranking the sales volume of cigarette retail terminal users in the selected area to obtain the sales volume ranking result includes:

[0014] S11. Select a specific period that best reflects the cigarette retail end-user sales data, assuming that the specific period includes m months, where m represents the total number of months;

[0015] S12. Collect sales data Q of cigarette retail terminal users in the m months nm , n represents the number of cigarette retail terminal users;

[0016] S13. Based on the sales volume data Q nm , calculate the average sales volume P of the nth cigarette retail terminal user in the m months n as follows:

[0017]

[0018] S14. The average sales volume P n Sorting is performed to obtain the sales volume ranking result.

[0019] Preferably, the user classification results are star terminal users and non-star terminal users, the star terminal users are cigarette retail terminal users whose sales volume exceeds a preset threshold, and the non-star terminal users are cigarette retail terminal users whose sales volume does not exceed the preset threshold.

[0020] Preferably, the method of using the sales volume ranking result to lay out the base points of the user division results includes:

[0021] S21. Divide the selected area into multiple sub-areas, determine whether the star-rated terminal user exists in the sub-area, and if so, use the star-rated terminal user as a base point to obtain a base point list for the initial layout; if not, fill the base points in the sub-areas where the base points are not laid out, and execute S22;

[0022] S22. In the sub-regions where no base points are deployed, non-star end users with the largest sales volume are selected as base points and added to the list of base points for initial deployment;

[0023] S23. Eliminate the redundant base points in the base point list of the initial layout to obtain the base point list of the final layout.

[0024] Preferably, the predicting of potential value of potential layout base points outside the base point list includes:

[0025] S31. Acquire building scale data, use the building scale data as input of a preset pedestrian flow estimation model, output pedestrian flow, multiply the pedestrian flow by a preset first conversion value, and obtain the first number of potential smoking customers;

[0026] S32. Obtain the number of permanent residents and the number of floating population, convert the number of permanent residents into a first number of potential smoking customers, convert the number of floating population into a second number of potential smoking customers, and add the first number and the second number to obtain a second number of potential smoking customers;

[0027] S33. Perform weighted calculation on the first number of potential smoking customers and the second number of potential smoking customers to obtain the comprehensive number of potential smoking customers at the current sales point as a potential layout base point;

[0028] S34. multiplying the number of comprehensive potential smoking customers by the average cigarette objective value index to obtain the initial value prediction value of the potential layout base point;

[0029] S35. Multiply the initial value prediction value by the attenuation weight of the gear corresponding to the initial value prediction value to obtain a final value prediction value.

[0030] Preferably, the determining of the base point list of the remaining layout of the cigarette retail terminals based on the value prediction value comprises:

[0031] The final value prediction value is multiplied by the point selection weight of the selected area to obtain the layout score of the potential layout base point, the layout score is sorted, and the potential layout base points are extracted in the sorted order as the base point list for the remaining layout of the cigarette retail terminal.

[0032] The present invention also proposes a base point layout system for a cigarette retail terminal, comprising:

[0033] A ranking module is used to select a selected area, rank the sales volume of cigarette retail terminal users in the selected area, and obtain a sales volume ranking result;

[0034] A base point layout module, used to divide the cigarette retail terminal users in the selected point area to obtain user division results, and to layout base points for the user division results using the sales volume ranking results to obtain a list of layout base points;

[0035] A value prediction module, used for predicting the potential value of potential layout base points outside the base point list to obtain the value prediction value of the potential layout base points;

[0036] The remaining base point layout module is used to determine the base point list of the remaining layout of the cigarette retail terminal according to the value prediction value.

[0037] The present invention also proposes a computer device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0038] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operation of the base point layout method of the cigarette retail terminal.

[0039] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0040] The present invention proposes a base point layout method and system for cigarette retail terminals. First, the cigarette retail terminal users in the selected point area are ranked according to their objective sales volume to obtain a sales volume ranking result. Then, when arranging the base points of the cigarette retail terminals, the sales volume ranking result is used to divide the user result into base points to obtain a list of the base points to be laid out. The list of base points to be laid out is combined with the remaining base point lists of the cigarette retail terminals to ensure the comprehensiveness of base point data collection in the selected point area and the rationality of base point layout, so that data collection is more complete and accurate. Furthermore, potential value is calculated for potential layout base points outside the base point list. Value prediction, according to the value prediction value of the potential layout base point, the list of base points for the remaining layout of the cigarette retail terminals is determined, thereby improving the rationality of the potential layout base points as the base point layout of the cigarette retail terminals, and through the base point layout of the cigarette retail terminals, the list of base points for the cigarette retail terminal layout and the list of base points for the remaining layout are finally adopted in combination, which can not only effectively, comprehensively, accurately and quickly obtain terminal user information and ensure the accuracy and comprehensiveness of terminal data statistics, but also make the final base point layout of the cigarette retail terminals better, the base point distribution of the cigarette retail terminals more reasonable, and more conducive to the management of cigarette retail terminal users. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flowchart showing a base point layout method of a cigarette retail terminal provided in an embodiment of the present invention;

[0042] Figure 2 A structural block diagram showing a base point layout system of a cigarette retail terminal provided in an embodiment of the present invention;

[0043] Figure 3 A block diagram showing the structure of a computer device provided in an embodiment of the present invention;

[0044] 301. Processor; 302. Memory; 303. Communication interface; 304. Communication bus; 305. Executable instructions. DETAILED DESCRIPTION

[0045] The drawings are for illustrative purposes only and should not be construed as limiting the present patent;

[0046] It is understandable to those skilled in the art that some well-known contents may be omitted in the drawings;

[0047] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0048] Example 1

[0049] like Figure 1 As shown, this embodiment proposes a base point layout method for a cigarette retail terminal, comprising the following steps:

[0050] S1. Select a selected area, rank the sales volume of cigarette retail terminal users in the selected area, and obtain the sales volume ranking result;

[0051] In S1, the selecting of the point selection area includes: obtaining the number of point selection area layouts, setting the point selection weight of the point selection area, and obtaining the point selection area according to the product result of the number of point selection area layouts and the point selection weight, wherein the point selection area includes an urban network area and a rural network area;

[0052] Since the number of cigarette retail terminal users is relatively small at present and a relatively scientific and reasonable layout rule has not yet been established, it is carried out in a step-by-step manner. In the selection area of ​​this embodiment, the selection is first carried out according to a layout quantity of 18% of the number of cigarette retail terminal users; after determining the layout quantity, the selection weight of the selection area is first set, the selection weight is set to 0.6 in the urban network area, and the selection weight is set to 0.4 in the rural network area. In actual use, the selection weight of the above selection area can also be set to other values. In this embodiment, it is only understood as an embodiment. After determining the selection weights of different areas, the subsequent base point layout operation of the selection area is started. The traditional method determines the layout base point according to the administrative level, population size, etc. of the selection area, but this method may have deviations. In order to ensure the accuracy and comprehensiveness of the base point layout, the subsequent step S2 adopts the method of dividing the cigarette retail terminal users in the selection area to obtain the user division result, and uses the sales According to the ranking result of quantity, the base points are arranged for the user division result. In the specific implementation process, retail customers are divided into ordinary customers (i.e., retail points that only order and sell cigarettes) and terminal customers (retail points that need to use the terminal system provided by the tobacco company to sell cigarettes); the traditional base point layout strategy directly ranks all terminal customers from large to small according to sales volume, and determines a certain number of sales points in front as base points, which is relatively simple and fast, and the data is relatively accurate; but this method does not take into account the situation of ordinary customers, therefore, the existing base point layout strategy also proposes to arrange ordinary customers and terminal customers together, but because the statistical data of ordinary customers may be biased, this method is not as accurate as the first one, but more comprehensive; and this embodiment solves the above problems and at the same time, in order to avoid the fluctuation of sales volume data from affecting the sales volume ranking results, the cigarette retail terminal users in the selected point area are ranked by sales volume, and the sales volume ranking results are obtained, including:

[0053] S11. Select a specific period that best reflects the cigarette retail end-user sales data, assuming that the specific period includes m months, where m represents the total number of months;

[0054] S12. Collect sales data Q of cigarette retail terminal users in the m months nm , n represents the number of cigarette retail terminal users;

[0055] S13. Based on the sales volume data Q nm , calculate the average sales volume P of the nth cigarette retail terminal user in the m months n as follows:

[0056]

[0057] S14. The average sales volume P n Sorting is performed to obtain the sales volume ranking result;

[0058] If the value of m is 12, it means that the annual average sales volume of each sales point is calculated as the sales volume data of each outlet; if the value of m is the number of months in the peak season for cigarette sales, the average sales volume (monthly) of each sales point is calculated according to the number of months in the peak season for cigarette sales as the sales volume data of each outlet, so as to further improve the accuracy of the data and screen out the interference on the sales volume caused by the poor regularity of the data due to the low sales volume in the off-season;

[0059] S2. Divide the cigarette retail terminal users in the selected point area to obtain the user division results, use the sales ranking results to layout the base points of the user division results, and obtain a list of base points for the layout;

[0060] In S2, the user classification results are star terminal users and non-star terminal users, the star terminal users are cigarette retail terminal users whose sales volume exceeds a preset threshold, and the non-star terminal users are cigarette retail terminal users whose sales volume does not exceed the preset threshold.

[0061] The method of using the sales volume ranking result to lay out the base points of the user segmentation result includes:

[0062] S21. Divide the selected area into multiple sub-areas, determine whether the star-rated terminal user exists in the sub-area, and if so, use the star-rated terminal user as a base point to obtain a base point list for the initial layout; if not, fill the base points in the sub-areas where the base points are not laid out, and execute S22; wherein

[0063] S22. In the sub-regions where no base points are deployed, the non-star terminal users with the largest sales volume are taken as base points and added to the initial deployment base point list; it is required that each sub-region must have a base point, that is, in the initial deployment base point list, if there is a sub-region without a base point, the one with the largest sales volume in the sub-region is taken as the base point and inserted into the above list;

[0064] S23. Eliminate the redundant base points in the base point list of the initial layout to obtain the base point list of the final layout.

[0065] S3. Predicting the potential value of the potential layout base points outside the base point list to obtain the value prediction value of the potential layout base points;

[0066] In S3, the base point layout range of the cigarette retail terminal is limited to the tobacco sales points, that is, the points where ordinary customers and cigarette retail terminal users are located. Of course, it can also be laid out at points other than the above points, but this embodiment will not be described in detail.

[0067] In the process of determining the remaining layout points, a multi-dimensional analysis is conducted on the potential value prediction of the potential layout base points outside the base point list. Specifically, the analysis is conducted based on factors such as the building scale, population size, traffic conditions, etc. within a certain range of the sales point, as well as the average cigarette sales price of the sales point. The building scale includes the building type and the number of buildings of each building type (that is, the total number of buildings is obtained), the population size includes the number of permanent residents and the number of floating population, and the traffic conditions are the number of roads and road types (one-way streets, two-way streets, etc.) within a certain distance nearby. It should be noted that if all sales points are included in the calculation scope, the amount of calculation will be too large due to the large number of outlets. Therefore, in order to reduce the difficulty of calculation, 3-5 times the total layout number can be used as the total analysis amount, and the sales points of the total analysis amount can be intercepted from the above ranking results as potential layout points for analysis. More specifically, the potential value prediction of the potential layout base points outside the base point list includes:

[0068] S31. Acquire building scale data, use the building scale data as input of a preset pedestrian flow estimation model, output pedestrian flow, multiply the pedestrian flow by a preset first conversion value, and obtain the first number of potential smoking customers;

[0069] In S31, the building type and the number of buildings in the building scale data are used as inputs, and according to the building type and its building data (height, floor area, etc.), a preset flow estimation model is used to calculate the estimated flow of people, and then a first conversion value is set for each building type, and the flow of people is multiplied by the preset first conversion value to estimate the number of first potential smoking customers of each building;

[0070] S32. Obtaining the number of permanent residents and the number of floating population, converting the number of permanent residents into a first number of potential smoking customers, including: multiplying the number of permanent residents by a preset second conversion value to obtain the first number;

[0071] Converting the floating population into a second number of potential smoking customers includes:

[0072] Acquire traffic data, calculate a retention value according to the traffic data, use the retention value and the number of floating population as inputs of a preset retention number prediction model, output the number of retention numbers, multiply the number of retention numbers by a preset third conversion value to obtain the second number; add the first number and the second number to obtain the second number of potential smoking customers;

[0073] S33. Perform weighted calculation on the first number of potential smoking customers and the second number of potential smoking customers to obtain the comprehensive number of potential smoking customers at the current sales point as a potential layout base point;

[0074] S34. multiplying the number of comprehensive potential smoking customers by the average cigarette objective value index to obtain the initial value prediction value of the potential layout base point;

[0075] The average cigarette objective value index is the average cigarette sales price after normalization at the point of sale. It should be noted that the average cigarette sales price is an objective indicator data derived from the cigarette retail terminal and is not subject to the constraints of market economic laws.

[0076] S35. Multiplying the initial value prediction value by the attenuation weight of the gear corresponding to the initial value prediction value to obtain the final value prediction value;

[0077] In S35, the gears are divided into 1-30 gears, with 30 being the highest. When predicting the value, the decay weight corresponding to each gear is determined in advance, and the initial value prediction value of the current sales point is further multiplied by the decay weight corresponding to the gear to obtain the final value prediction value;

[0078] S4. Based on the value prediction value, determine a list of base points for the remaining layout of cigarette retail terminals.

[0079] In S4, the determining of the base point list of the remaining layout of the cigarette retail terminals based on the value prediction value includes:

[0080] The final value prediction value is multiplied by the point selection weight of the selected area to obtain the layout score of the potential layout base point, the layout score is sorted, and the potential layout base points are extracted in the sorted order as the base point list for the remaining layout of the cigarette retail terminal.

[0081] In this embodiment, firstly, the cigarette retail terminal users in the selected point area are ranked according to their objective sales volume to obtain a sales volume ranking result; then, when arranging the base points of the cigarette retail terminals, the sales volume ranking result is used to arrange the base points of the user division results to obtain a list of the base points for the arrangement, and the list of the remaining base points for the cigarette retail terminals is combined to ensure the comprehensiveness of the base point data collection in the selected point area and the rationality of the base point layout, so that the data collection is more complete and accurate; further, the potential value of the potential layout base points outside the list of base points is predicted, and the list of the remaining base points for the cigarette retail terminals is determined according to the value prediction value of the potential layout base points, thereby improving the rationality of the potential layout base points as the base point layout of the cigarette retail terminals, and by finally adopting the combination of the base point list of the cigarette retail terminal layout and the remaining base point list for the base point layout of the cigarette retail terminals, not only can the terminal user information be effectively, comprehensively, accurately and quickly acquired, and the accuracy and comprehensiveness of the terminal data statistics be ensured, but also the final base point layout effect of the cigarette retail terminals is better, the base point distribution of the cigarette retail terminals is more reasonable, and it is more conducive to the management of the cigarette retail terminal users.

[0082] Example 2

[0083] See also Figure 2 This embodiment proposes a base point layout system for cigarette retail terminals, including:

[0084] A ranking module is used to select a selected area, rank the sales volume of cigarette retail terminal users in the selected area, and obtain a sales volume ranking result;

[0085] A base point layout module, used to divide the cigarette retail terminal users in the selected point area to obtain user division results, and to layout base points for the user division results using the sales volume ranking results to obtain a list of layout base points;

[0086] A value prediction module, used for predicting the potential value of potential layout base points outside the base point list to obtain the value prediction value of the potential layout base points;

[0087] The remaining base point layout module is used to determine the base point list of the remaining layout of the cigarette retail terminal according to the value prediction value.

[0088] In this embodiment, firstly, the cigarette retail terminal users in the selected point area are ranked according to their objective sales volume to obtain a sales volume ranking result; then, when arranging the base points of the cigarette retail terminals, the sales volume ranking result is used to arrange the base points of the user division results to obtain a list of the base points for the arrangement, and the list of the remaining base points for the cigarette retail terminals is combined to ensure the comprehensiveness of the base point data collection in the selected point area and the rationality of the base point layout, so that the data collection is more complete and accurate; further, the potential value of the potential layout base points outside the list of base points is predicted, and the list of the remaining base points for the cigarette retail terminals is determined according to the value prediction value of the potential layout base points, thereby improving the rationality of the potential layout base points as the base point layout of the cigarette retail terminals, and by finally adopting the combination of the base point list of the cigarette retail terminal layout and the remaining base point list for the base point layout of the cigarette retail terminals, not only can the terminal user information be effectively, comprehensively, accurately and quickly acquired, and the accuracy and comprehensiveness of the terminal data statistics be ensured, but also the final base point layout effect of the cigarette retail terminals is better, the base point distribution of the cigarette retail terminals is more reasonable, and it is more conducive to the management of the cigarette retail terminal users.

[0089] Example 3

[0090] See also Figure 3 This embodiment also proposes a computer device, see Figure 3 , including: a processor 301, a memory 302, a communication interface 303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication interface 303 communicate with each other through the communication bus 304;

[0091] Wherein: the processor 301, the memory 302 and the communication interface 303 communicate with each other through the communication bus 304. The communication interface 303 is used for network communication with other devices such as a client or other servers. The processor 301 is used to execute the executable instruction 305, which can specifically execute the relevant steps in the above-mentioned base point layout method embodiment of the cigarette retail terminal.

[0092] Specifically, the executable instructions 305 may include program codes. The processor 301 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The computer device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0093] The memory 302 is used to store executable instructions 305. The memory 302 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0094] The executable instruction 305 can be specifically called by the processor 301 to enable the computer device to perform the following operations:

[0095] S1. Select a selected area, rank the sales volume of cigarette retail terminal users in the selected area, and obtain the sales volume ranking result;

[0096] S2. Divide the cigarette retail terminal users in the selected point area to obtain the user division results, use the sales ranking results to layout the base points of the user division results, and obtain a list of base points for the layout;

[0097] S3. Predicting the potential value of the potential layout base points outside the base point list to obtain the value prediction value of the potential layout base points;

[0098] S4. Based on the value prediction value, determine a list of base points for the remaining layout of cigarette retail terminals.

[0099] In this embodiment, firstly, the cigarette retail terminal users in the selected point area are ranked according to their objective sales volume to obtain a sales volume ranking result; then, when arranging the base points of the cigarette retail terminals, the sales volume ranking result is used to arrange the base points of the user division results to obtain a list of the base points for the arrangement, and the list of the remaining base points for the cigarette retail terminals is combined to ensure the comprehensiveness of the base point data collection in the selected point area and the rationality of the base point layout, so that the data collection is more complete and accurate; further, the potential value of the potential layout base points outside the list of base points is predicted, and the list of the remaining base points for the cigarette retail terminals is determined according to the value prediction value of the potential layout base points, thereby improving the rationality of the potential layout base points as the base point layout of the cigarette retail terminals, and by finally adopting the combination of the base point list of the cigarette retail terminal layout and the remaining base point list for the base point layout of the cigarette retail terminals, not only can the terminal user information be effectively, comprehensively, accurately and quickly acquired, and the accuracy and comprehensiveness of the terminal data statistics be ensured, but also the final base point layout effect of the cigarette retail terminals is better, the base point distribution of the cigarette retail terminals is more reasonable, and it is more conducive to the management of the cigarette retail terminal users.

[0100] Obviously, the above embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the implementation methods of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all implementation methods here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A base point layout method for a cigarette retail terminal, characterized in that: The following steps are involved: S1. Select a selected area, rank the sales volume of cigarette retail terminal users in the selected area, and obtain the sales volume ranking result; S2. Divide the cigarette retail terminal users in the selected point area to obtain the user division results, use the sales ranking results to layout the base points of the user division results, and obtain a list of base points for the layout; S3. Predicting the potential value of the potential layout base points outside the base point list to obtain the value prediction value of the potential layout base points; S4. Based on the value prediction value, determine a list of base points for the remaining layout of cigarette retail terminals.

2. The base point layout method of a cigarette retail terminal according to claim 1, characterized in that: The selecting of the point selection area includes: obtaining the number of point selection area layouts, setting the point selection weight of the point selection area, and obtaining the point selection area according to the product result of the number of point selection area layouts and the point selection weight.

3. The base point layout method of a cigarette retail terminal according to claim 2, characterized in that: The selected point area includes an urban network area and a rural network area.

4. The base point layout method of a cigarette retail terminal according to claim 1, characterized in that: The step of ranking the sales volume of cigarette retail terminal users in the selected area to obtain the sales volume ranking result includes: S11. Select a specific period that best reflects the cigarette retail end-user sales data, assuming that the specific period includes m months, where m represents the total number of months; S12. Collect sales data Q of cigarette retail terminal users in the m months nm , n represents the number of cigarette retail terminal users; S13. Based on the sales volume data Q nm , calculate the average sales volume P of the nth cigarette retail terminal user in the m months n as follows: S14. The average sales volume P n Sorting is performed to obtain the sales volume ranking result.

5. The base point layout method of a cigarette retail terminal according to claim 1, characterized in that: The user classification results include star terminal users and non-star terminal users, wherein the star terminal users are cigarette retail terminal users whose sales volume exceeds a preset threshold, and the non-star terminal users are cigarette retail terminal users whose sales volume does not exceed the preset threshold.

6. The base point layout method of a cigarette retail terminal according to claim 5, characterized in that: The method of using the sales volume ranking result to lay out the base points of the user segmentation result includes: S21. Divide the selected area into multiple sub-areas, determine whether the star-rated terminal user exists in the sub-area, and if so, use the star-rated terminal user as a base point to obtain a base point list for the initial layout; if not, fill the base points in the sub-areas where the base points are not laid out, and execute S22; S22. In the sub-regions where no base points are deployed, non-star end users with the largest sales volume are selected as base points and added to the list of base points for initial deployment; S23. Eliminate the redundant base points in the base point list of the initial layout to obtain the base point list of the final layout.

7. The base point layout method of a cigarette retail terminal according to claim 1, characterized in that: The potential value prediction of the potential layout base points outside the base point list includes: S31. Acquire building scale data, use the building scale data as input of a preset pedestrian flow estimation model, output pedestrian flow, multiply the pedestrian flow by a preset first conversion value, and obtain the first number of potential smoking customers; S32. Obtain the number of permanent residents and the number of floating population, convert the number of permanent residents into a first number of potential smoking customers, convert the number of floating population into a second number of potential smoking customers, and add the first number and the second number to obtain a second number of potential smoking customers; S33. Perform weighted calculation on the first number of potential smoking customers and the second number of potential smoking customers to obtain the comprehensive number of potential smoking customers at the current sales point as a potential layout base point; S34. multiplying the number of comprehensive potential smoking customers by the average cigarette objective value index to obtain the initial value prediction value of the potential layout base point; S35. Multiply the initial value prediction value by the attenuation weight of the gear corresponding to the initial value prediction value to obtain a final value prediction value.

8. The base point layout method of a cigarette retail terminal according to claim 7, characterized in that: The method of determining the base point list of the remaining layout of cigarette retail terminals based on the value prediction value includes: The final value prediction value is multiplied by the point selection weight of the selected area to obtain the layout score of the potential layout base point, the layout score is sorted, and the potential layout base points are extracted in the sorted order as the base point list for the remaining layout of the cigarette retail terminal.

9. A base point layout system for a cigarette retail terminal, characterized in that: include: A ranking module is used to select a selected area, rank the sales volume of cigarette retail terminal users in the selected area, and obtain a sales volume ranking result; A base point layout module, used to divide the cigarette retail terminal users in the selected point area to obtain user division results, and to layout base points for the user division results using the sales volume ranking results to obtain a list of layout base points; A value prediction module, used for predicting the potential value of potential layout base points outside the base point list to obtain the value prediction value of the potential layout base points; The remaining base point layout module is used to determine the base point list of the remaining layout of the cigarette retail terminal according to the value prediction value.

10. A computer device, characterized in that: include: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operation of the base point layout method of the cigarette retail terminal according to any one of claims 1-8.

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