A cigarette delivery method, device and electronic device

Abstract

The present invention discloses a cigarette delivery method, device and electronic device. The method includes: obtaining the attribute information of multiple cigarette retail points in a target area and the historical sales data of the target cigarettes corresponding to each cigarette retail point, where the attribute information of the multiple cigarette retail points includes the location information of each cigarette retail point; obtaining the target consumer group data and point of interest data corresponding to each cigarette retail point according to the location information of each cigarette retail point; calculating the correlation relationship between the sales volume of the target cigarettes corresponding to each cigarette retail point and the target consumer group data and point of interest data according to the historical sales data, target consumer group data and point of interest data; calculating the sales ability of each cigarette retail point for the target cigarettes according to the correlation relationship; and delivering the target cigarettes according to the sales ability of each cigarette retail point for the target cigarettes. The method of the present invention effectively improves the accuracy of cigarette delivery.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and particularly to a cigarette delivery method, device and electronic equipment. Background Art

[0002] With the increasing maturity of big data resources and technical conditions in the cigarette consumption end, how to generate a cigarette product delivery strategy for precision marketing has become the core issue jointly concerned by the tobacco industry end and the commercial end.

[0003] The internal data of tobacco enterprises is complete. At present, for the data analysis of the cigarette market, more is based on the basic statistical analysis and query of historical cigarette sales, which still lags behind the requirements of the actual marketing planning work of enterprises. At present, for the cigarette delivery business, most are based on the simple analysis of historical cigarette sales, and cigarettes are delivered according to the analysis results and manual experience. The accuracy of delivery is seriously restricted by the professional qualities and business sensitivities of tobacco marketing personnel. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defect of insufficient accuracy in cigarette delivery based on the simple analysis results of existing historical sales data and manual experience, so as to provide a cigarette delivery method, device and electronic equipment.

[0005] According to a first aspect, an embodiment of the present invention discloses a cigarette delivery method, including: obtaining the attribute information of a plurality of cigarette retail points in a target area and the historical sales data of target cigarettes corresponding to each cigarette retail point, where the attribute information of the plurality of cigarette retail points includes the location information of each cigarette retail point; obtaining the target consumer population data and point of interest data corresponding to each cigarette retail point according to the location information of each cigarette retail point; calculating the correlation relationship between the sales volume of target cigarettes corresponding to each cigarette retail point and the target consumer population data and point of interest data according to the historical sales data, the target consumer population data and the point of interest data; calculating the sales ability of each cigarette retail point for the target cigarettes according to the correlation relationship; and delivering the target cigarettes according to the sales ability of each cigarette retail point for the target cigarettes.

[0006] Optionally, calculating the correlation relationship between the sales volume of the target cigarette corresponding to each cigarette retail point and the target consumer group data and the point of interest data according to the historical sales data, the target consumer group data, and the point of interest data includes: determining multiple tag data corresponding to the target consumer group data and multiple tag data corresponding to the point of interest data according to the target consumer group data and the point of interest data; calculating the Pearson correlation coefficient corresponding to each tag data between the target cigarette and the target consumer group data corresponding to the multiple tag data and the point of interest data corresponding to the multiple tag data, and the Pearson correlation coefficient is used to characterize the correlation relationship.

[0007] Optionally, calculating the sales ability of each cigarette retail point for the target cigarette according to the correlation relationship includes: performing normalization processing on each tag data; performing weighted summation on each normalized tag data and the corresponding Pearson correlation coefficient to determine the sales ability of each retailer for the target cigarette.

[0008] Optionally, putting the target cigarette according to the sales ability of each cigarette retail point for the target cigarette includes: obtaining the total delivery volume of the target cigarette in the target area during a preset delivery period and the delivery tags corresponding to multiple delivery methods adopted in the target area, and the delivery tags are determined according to the attribute information of the cigarette retail point; determining multiple cigarette retail points to be delivered corresponding to each delivery tag according to the delivery tags corresponding to the multiple delivery methods; determining the sales ability of each cigarette retail point to be delivered for the target cigarette; determining multiple target delivery tags according to the sales ability of each cigarette retail point to be delivered for the target cigarette; and performing the delivery operation of the target cigarette according to the total sales ability of the multiple target cigarette retail points to be delivered corresponding to each target delivery tag.

[0009] Optionally, performing the delivery operation of the target cigarette according to the total sales ability of the multiple target cigarette retail points to be delivered corresponding to each target delivery tag includes: sorting the total sales ability; and delivering the target cigarette according to the sorting result and the total delivery volume of the target cigarette.

[0010] According to a second aspect, an embodiment of the present invention further discloses a cigarette delivery device, including: a first acquisition module, configured to acquire attribute information of a plurality of cigarette retail points in a target area and historical sales data of target cigarettes corresponding to each cigarette retail point, where the attribute information of the plurality of cigarette retail points includes location information of each cigarette retail point; a second acquisition module, configured to acquire target consumer group data and point-of-interest data corresponding to each cigarette retail point according to the location information of each cigarette retail point; a first calculation module, configured to calculate an association relationship between the sales volume of target cigarettes corresponding to each cigarette retail point and the target consumer group data and the point-of-interest data according to the historical sales data, the target consumer group data, and the point-of-interest data; a second calculation module, configured to calculate the sales ability of each cigarette retail point for the target cigarettes according to the association relationship; and a delivery module, configured to deliver the target cigarettes according to the sales ability of each cigarette retail point for the target cigarettes.

[0011] Optionally, the first calculation module includes: a first determination sub-module, configured to determine a plurality of tag data corresponding to the target consumer group data and a plurality of tag data corresponding to the point-of-interest data according to the target consumer group data and the point-of-interest data; and a calculation sub-module, configured to calculate a Pearson correlation coefficient between the target cigarettes and each tag data according to the historical sales data of the target cigarettes, the plurality of tag data corresponding to the target consumer group data, and the plurality of tag data corresponding to the point-of-interest data, where the Pearson correlation coefficient is used to characterize the association relationship.

[0012] Optionally, the calculation sub-module includes: a processing sub-module, configured to perform normalization processing on each tag data; and a second determination sub-module, configured to perform weighted summation on each normalized tag data and the corresponding Pearson correlation coefficient to determine the sales ability of each retailer for the target cigarettes.

[0013] According to a third aspect, an embodiment of the present invention further discloses an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; where the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is caused to execute the steps of the cigarette delivery method as described in the first aspect or any optional implementation manner of the first aspect.

[0014] According to a fourth aspect, an embodiment of the present invention further discloses a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the cigarette delivery method as described in the first aspect or any optional implementation manner of the first aspect are implemented.

[0015] The technical solution of the present invention has the following advantages:

[0016] The cigarette delivery method / device provided by the present invention includes: obtaining the attribute information of multiple cigarette retail points in the target area and the historical sales data of the target cigarettes corresponding to each cigarette retail point, where the attribute information of the multiple cigarette retail points includes the location information of each cigarette retail point; obtaining the target consumer group data and point-of-interest data corresponding to each cigarette retail point according to the location information of each cigarette retail point; calculating the correlation relationship between the sales volume of the target cigarettes corresponding to each cigarette retail point and the target consumer group data and point-of-interest data according to the historical sales data, target consumer group data, and point-of-interest data; calculating the sales ability of each cigarette retail point for the target cigarettes according to the correlation coefficient; and delivering the target cigarettes according to the sales ability of each cigarette retail point for the target cigarettes. The method of the present invention can accurately determine the correlation between the sales volume of the target cigarettes corresponding to each cigarette retail point and the consumer group and point-of-interest data around the retail store by calculating the correlation relationship between the sales volume of the target cigarettes corresponding to each cigarette retail point and the target consumer group data and point-of-interest data. According to the correlation coefficient, the sales potential of each retail point for the target cigarettes can be calculated, and the target cigarettes are delivered according to the sales potential of each retail point for the target cigarettes, which precisely combines cigarette delivery with key retail customer groups and target consumer groups in the target area, improving the accuracy of cigarette delivery. Description of the Drawings

[0017] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 It is a flowchart of a specific example of the cigarette delivery method in an embodiment of the present invention;

[0019] Figure 2 It is a schematic block diagram of a specific example of the cigarette delivery device in an embodiment of the present invention;

[0020] Figure 3 It is a specific example diagram of an electronic device in an embodiment of the present invention. Detailed Embodiments

[0021] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. In addition, the terms "first", "second", "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0023] In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can also be the communication inside two elements. It can be a wireless connection or a wired connection. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0024] In addition, the technical features involved in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0025] An embodiment of the present invention discloses a cigarette delivery method, as Figure 1 shown, the method includes the following steps:

[0026] Step 101, obtain the attribute information of multiple cigarette retail points in the target area and the historical sales data of the target cigarettes corresponding to each cigarette retail point, and the attribute information of the multiple cigarette retail points includes the location information of each cigarette retail point.

[0027] Exemplarily, the target area can be any area where cigarette delivery is required; the attribute information of multiple cigarette retail outlets can include, but is not limited to, the location information, business type, and identification information corresponding to each cigarette retail outlet; the target cigarette can be any cigarette to be delivered; the historical sales data of the target cigarette can include, but is not limited to, the sales volume and sales amount data of the target cigarette. In the embodiments of the present application, the cigarette retail outlet can be a cigarette retailer, and the target cigarette can be any cigarette of any brand and specification; the attribute information of the cigarette retailer can include, but is not limited to, the corresponding longitude and latitude information, grade information, unique identification code, and marketing department information.

[0028] Step 102: Obtain the target consumer population data and point of interest data corresponding to each cigarette retail outlet according to the location information of each cigarette retail outlet.

[0029] Exemplarily, in the embodiments of the present application, the location information of each cigarette retail point can be used as the center to obtain the consumer population data and Point of Interest (POI) data within a preset radius area, and the consumer population within the preset radius area can be used as the target consumer population. The consumer population data may include, but is not limited to, authorized resident population, resident population, working population, floating population, gender (male, female), segmented age (18 - 24, 25 - 30, 31 - 35, 36 - 40, 41 - 45, 46 - 60, 61 and above), life stage (retired, self-employed, college student, office worker), education level (primary school, junior high school, high school, junior college, undergraduate, master, doctor), marital status (married, unmarried), consumption level (high, sub-high, medium, sub-low, low), age of children (0 - 2, 2 - 5, 6 - 12, 13 - 18), visiting preferences (tourist attractions, hotels, food, cultural venues, educational institutions, automobiles, infrastructure, real estate (building type), healthcare, shopping, sports and fitness, entertainment), APP preferences (photography, office, communication, reading, beautification, social networking, system, shopping, music, finance, life, education, health, travel, tools, games, videos, tourism, entertainment), commuting methods (bus, self-driving, subway), whether having a car (yes, no), mobile phone brand, and any combination of the following occupational segments (finance / accounting / auditing / taxation / cashier, online sales / operation / service, software engineer, investment / financial advisor, front desk receptionist / operator, sales manager, pre-sales / after-sales technical support engineer, technical worker / technician, clothing / textile / leather, bioengineering / pharmaceutical / medical health, training instructor, public relations / media, web design / production / artwork, administrative specialist / assistant, copywriting / event planning, housekeeping, teacher, lawyer / legal / political science / judge, store manager / manager, hardware engineer, quality inspector / tester, customer service specialist / assistant, warehousing / logistics / supply chain / transportation, construction engineering / civil engineering / decoration / building materials). The POI data may include, but is not limited to, any combination of the following: food and beverage, life services, companies, healthcare, shopping and consumption, entertainment, sports and fitness, automobile-related, financial institutions, commercial and residential buildings, transportation facilities, hotel accommodation, science, education and culture, tourist attractions. The POI data within the preset radius range centered on the cigarette retail point is used as the POI data to be used.

[0030] Step 103: Calculate the correlation relationship between the sales volume of the target cigarette corresponding to each cigarette retail point and the target consumer population data and the POI data according to the historical sales data, the target consumer population data, and the POI data.

[0031] Exemplarily, the association relationship can be represented by the mapping relationship or correlation coefficient between different sales volumes and target consumer group data as well as point-of-interest data. Specifically, the mapping relationship (functional relationship) between the sales volumes of different types of goods and the corresponding consumer group data as well as point-of-interest data can be pre-constructed and stored in a database. Subsequently, the type of the product to be launched can be matched with the product type data stored in the database, and the mapping relationship between the sales volume of this type of product and the target consumer group data as well as point-of-interest data can be determined according to the matching result; the correlation coefficient is a statistical indicator used to reflect the closeness of the correlation relationship between variables. The correlation coefficient can be calculated by the product-moment method, which is also based on the deviations of the two variables from their respective averages, and the correlation degree between the two variables is reflected by multiplying the two deviations. In the embodiments of the present application, by calculating the correlation coefficient between the sales volume of the target cigarette corresponding to each cigarette retail point and the target consumer group data as well as point-of-interest data, the association relationship between the target cigarette sales volume and the target consumer group data as well as point-of-interest data can be determined.

[0032] Step 104: Calculate the sales ability of each cigarette retail point for the target cigarette according to the association relationship. Exemplarily, the sales ability of each cigarette retail point for the target cigarette can be determined according to the correlation relationship between the target cigarette sales volume and the target consumer group data as well as point-of-interest data; or according to the matched mapping relationship, combined with the historical sales data of the cigarette, the target consumer group data as well as point-of-interest data, the sales volume of the cigarette retail point in the next launch cycle can be determined, and this sales volume can be used as the sales ability of the cigarette retail point for the target cigarette.

[0033] Step 105: Launch the target cigarette according to the sales ability of each cigarette retail point for the target cigarette.

[0034] Exemplarily, the corresponding target cigarette can be launched to the corresponding cigarette retail point in combination with the determined sales volume, or for the cigarette retail points with higher sales ability for the target cigarette, the launch volume of the target cigarette can be appropriately increased, and for the cigarette retail points with lower sales ability for the target cigarette, the launch volume of the target cigarette can be appropriately reduced, so as to achieve the launch of the target cigarette.

[0035] The cigarette delivery method provided by the present invention can accurately determine the correlation between the sales volume of the target cigarette corresponding to each cigarette retail point and the consumer population and point-of-interest data around the retail store by calculating the correlation between the sales volume of the target cigarette corresponding to each cigarette retail point and the target consumer population data and the point-of-interest data. According to the correlation coefficient, the sales potential of each retail point for the target cigarette can be calculated, and the target cigarette is delivered according to the sales potential of each retail point for the target cigarette, so that the cigarette delivery is accurately combined with the key retail customer groups and target consumer populations in the target area, improving the accuracy of cigarette delivery.

[0036] As an optional embodiment of the present invention, step 103 includes: determining a plurality of label data corresponding to the target consumer population data and a plurality of label data corresponding to the point-of-interest data according to the target consumer population data and the point-of-interest data. Exemplarily, each consumer population data is tagged respectively to determine a plurality of label data corresponding to the target consumer population data. The label data corresponding to the target consumer population data may include, but is not limited to, the label data determined according to the consumer population attributes in the consumer population data. For example, different labels can be assigned to different consumer populations according to their occupations. Each point-of-interest data is tagged respectively to determine a plurality of label data corresponding to the point-of-interest data. The label data corresponding to the point-of-interest data may include, but is not limited to, the label data determined according to the attribute information corresponding to different points of interest in the point-of-interest data. For example, the data with the attribute information of food and beverage in the point of interest can be tagged with "food and beverage".

[0037] Calculate the Pearson correlation coefficient between the target cigarette and each label data according to the historical sales data of the target cigarette, the plurality of label data corresponding to the target consumer population data, and the plurality of label data corresponding to the point-of-interest data. The Pearson correlation coefficient is used to characterize the correlation. Exemplarily, in the embodiments of the present application, the Pearson correlation coefficient between the target cigarette and each label data can be calculated by the following formula (1):

[0038] (1)

[0039] Where n is the number of cigarette retailers (target merchants) in the target area, is the total order quantity of cigarette A (target cigarette) by the i-th cigarette retailer in the most recent N historical statistical periods, is the average order quantity of cigarette A by multiple cigarette retailers in the target area in the most recent N periods, is the value of the m-th label data corresponding to the i-th retailer (the m-th label data can be any one of the label data corresponding to the target consumer population data and the label data corresponding to the point-of-interest data); is the mean value of the m-th tag data for multiple cigarette retailers within the target area. is the Pearson correlation coefficient between cigarette A and the m-th tag data.

[0040] As an optional implementation manner of the present invention, step 104 includes: performing normalization processing on each of the tag data. Exemplarily, in the embodiments of the present application, each of the tag data can be normalized through the following formula (2):

[0041] (2)

[0042] where is the value of the m-th tag data of the i-th retailer, , are respectively the maximum value and the minimum value among the values of the m-th tag data corresponding to multiple cigarette retailers, is the value after normalization of the value of the m-th tag data of the i-th cigarette retailer.

[0043] Perform weighted summation on each normalized tag data and the corresponding Pearson correlation coefficient to determine the sales ability of each retailer for the target cigarette. Exemplarily, in the embodiments of the present application, perform weighted summation on the normalized tag value and the corresponding Pearson correlation coefficient to obtain the sales ability score of the i-th cigarette retailer for cigarette A , as shown in the following formula (3), the sales ability score is used to characterize the strength of the sales ability, and M represents a total of M normalized tag values:

[0044] (3)

[0045] As an optional implementation manner of the present invention, step 105 includes:

[0046] Obtain the total quantity of the target cigarettes to be put in the target area during the preset delivery period and the delivery labels corresponding to multiple delivery methods adopted in the target area. The delivery labels are determined according to the attribute information of the cigarette retail outlets. Exemplarily, the preset delivery period can be any cigarette delivery period. In the embodiments of the present application, the next three months can be used as the preset delivery period. The total quantity of the target cigarettes can be the total quantity of the target cigarettes in the target area. In the embodiments of the present application, taking City L as the research area, the multiple delivery methods can include, but are not limited to, according to the grades of cigarette retail stores (the cigarette retail stores can be pre-divided into different grades in advance according to the geographical location and scale of the cigarette retail stores, such as "Grade 30", etc., "grade + business format (cigarettes are delivered to the corresponding cigarette retail stores according to the grades and business format types of the cigarette retail stores)", "grade + geographical location", and "grade + marketing department" for cigarette delivery. Each delivery method can correspond to multiple delivery labels. For example, the delivery labels corresponding to the delivery method of "grade + business format" can be "Grade 30 + tobacco and alcohol store" and "Grade 20 + convenience store", etc.

[0047] Determine multiple cigarette retail outlets to be delivered corresponding to each delivery label according to the delivery labels corresponding to the multiple delivery methods. Exemplarily, in the embodiments of the present application, when it is necessary to deliver cigarettes to cigarette retail households in the "30 - 16" grade in the target area, it can be determined that the four delivery methods in this area include "grade + business format", "grade + geographical location", and "grade + marketing department", and then determine the multiple delivery labels corresponding to each of the four delivery methods. Then, it can be determined the multiple cigarette retail households corresponding to each delivery label. For example, for the delivery label of "Grade 30 + tobacco and alcohol store" in the delivery method of "grade + business format", among the multiple cigarette retail households in the target area, all cigarette retail households with a grade of "Grade 30" and a business format type of "tobacco and alcohol store" are the multiple cigarette retail households corresponding to this delivery label.

[0048] Determine the sales ability of each cigarette retail point to be put into operation for the target cigarette; determine multiple target placement labels according to the sales ability of each cigarette retail point to be put into operation for the target cigarette. Exemplarily, each placement label corresponds to multiple cigarette retail points to be put into operation. The average value of the sales ability scores of the multiple cigarette retail points to be put into operation corresponding to each placement label can be calculated, and the sales ability score of each placement label for the target cigarette can be determined according to this average value; sort the sales ability scores of the multiple placement labels for the target cigarette, determine the placement label corresponding to the maximum value of the sales ability score according to the sorting result, use the placement method corresponding to this label as the placement method for this placement operation, and use the multiple placement labels corresponding to this placement method as multiple target placement labels. For example, the sales ability score of the placement label "grade 30 + tobacco and liquor store" for the target cigarette is 10, the sales ability score of the placement label "grade 20 + city" for the target cigarette is 5, and the placement label "grade 30 + tobacco and liquor store" has the highest sales ability score for the target cigarette among all placement labels. The placement method corresponding to "grade 30 + tobacco and liquor store" is "grade + business type", then "grade + business type" is the placement method recommended this time.

[0049] Execute the placement operation of the target cigarette according to the total sales ability of the multiple target cigarette retail points to be put into operation corresponding to each target placement label. Exemplarily, by adding up the sales ability of each target cigarette retail point to be put into operation, the total sales ability can be obtained. In the embodiments of the present application, for the target cigarette retail points to be put into operation with a higher sales ability for the target cigarette, the placement quantity of the target cigarette can be appropriately increased, and for the target cigarette retail points to be put into operation with a lower sales ability for the target cigarette, the placement quantity of the target cigarette can be appropriately reduced, so as to achieve the placement of the target cigarette.

[0050] As an optional implementation manner of the present invention, the executing the placement operation of the target cigarette according to the total sales ability of the multiple target cigarette retail points to be put into operation corresponding to each target placement label includes:

[0051] Sort the total sales capabilities; and perform the placement of the target cigarettes according to the sorting result and the total placement quantity of the target cigarettes. Exemplarily, in the embodiments of the present application, the placement quantity corresponding to each target placement label can be determined according to the sorting result of the total sales capabilities and the total placement quantity, and then the target cigarettes are placed at each target cigarette retail outlet to be placed according to the placement quantity corresponding to the target placement label. For example, assume that the total placement quantity is 2,500 cartons, there are 50 cigarette retail households with the placement label of "Grade 30 + tobacco and liquor store", the total sales capability score is 150 points, and the total score of all cigarette retail households corresponding to multiple target placement labels is 5,000 points. Then the quantity of cigarette A allocated to the placement label of "Grade 30 + tobacco and liquor store" is (150 / 5,000) * 2,500 = 75 cartons, and the average placement quantity per household is 75 / 50 = 1.5 cartons / household. According to the actual market demand, if the business personnel hope to increase the placement intensity, they round up, otherwise they round down until the total placement quantity S is decomposed completely, and then stop. The cigarette retail households corresponding to the remaining placement labels will no longer be placed.

[0052] In the embodiments of the present application, multi-source big data resources inside and outside the industry are comprehensively considered, and a big data label system for the correlation analysis between cigarette products and consumption places is constructed with retail households as the carrier. Technologies and methods such as data mining and digital labels are adopted to deeply understand the cigarette consumption behavior characteristics of different consumer groups and different consumption places. By accurately applying big data labels, the research on the correlation pattern recognition between cigarette products, consumption places and consumer group characteristics is carried out, focusing on solving practical problems such as the inconsistency of the market state evaluation system between industry and commerce, the lack of refinement in the manually formulated placement strategies, the inaccurate grasp of the consumption market demand, and the weak correlation between customer grades, source procurement and the dynamic adjustment of source placement, and gradually realizing the transformation of the source placement strategy mode from "empirical analysis" to "data analysis".

[0053] On the other hand, the method provided by the embodiments of the present application has the advantages of strong versatility and simple operation steps. Regardless of the placement method, as long as the label is in the placement label pool of the commercial company, that is, the commercial company can conduct business placement according to this label, and the retail household has this label attribute, the placement strategy can be implemented. The business personnel only need to input the total placement quantity of cigarette A to be placed in the next cycle and the range of grades to be placed, and then an intelligent placement strategy can be generated, and rounding up or down can be performed according to the market state. While retaining the manual control of the market state, the operation steps of the placement are greatly simplified, making the method more convenient and efficient and more versatile.

[0054] The embodiments of the present invention also disclose a cigarette placement device, as Figure 2As shown in the figure, the device includes: a first acquisition module 201, configured to acquire attribute information of multiple cigarette retail outlets in a target area and historical sales data of target cigarettes corresponding to each cigarette retail outlet, where the attribute information of the multiple cigarette retail outlets includes location information of each cigarette retail outlet; a second acquisition module 202, configured to acquire target consumer group data and point-of-interest data corresponding to each cigarette retail outlet according to the location information of each cigarette retail outlet; a first calculation module 203, configured to calculate an association relationship between the sales volume of target cigarettes corresponding to each cigarette retail outlet, the target consumer group data, and the point-of-interest data; a second calculation module 204, configured to calculate the sales ability of each cigarette retail outlet for the target cigarettes according to the association relationship; and a delivery module 205, configured to deliver the target cigarettes according to the sales ability of each cigarette retail outlet for the target cigarettes.

[0055] The cigarette delivery device provided by the present invention can accurately determine the correlation between the sales volume of target cigarettes corresponding to each cigarette retail outlet, the consumer group data around the retail outlet, and the point-of-interest data by calculating the association relationship between the sales volume of target cigarettes corresponding to each cigarette retail outlet, the target consumer group data, and the point-of-interest data. According to the correlation coefficient, the sales potential of each retail outlet for target cigarettes can be calculated, and the target cigarettes are delivered according to the sales potential of each retail outlet for target cigarettes, which precisely combines cigarette delivery with key retail customer groups and target consumer groups in the target area, improving the accuracy of cigarette delivery.

[0056] As an optional implementation manner of the present invention, the first calculation module includes: a first determination sub-module, configured to determine multiple tag data corresponding to the target consumer group data and multiple tag data corresponding to the point-of-interest data according to the target consumer group data and the point-of-interest data; and a calculation sub-module, configured to calculate a Pearson correlation coefficient corresponding to each tag data between the historical sales data of the target cigarettes, the multiple tag data corresponding to the target consumer group data, and the multiple tag data corresponding to the point-of-interest data, where the Pearson correlation coefficient is used to represent the association relationship.

[0057] As an optional implementation manner of the present invention, the calculation sub-module includes: a processing sub-module, configured to perform normalization processing on each tag data; and a second determination sub-module, configured to perform weighted summation on each normalized tag data and the corresponding Pearson correlation coefficient to determine the sales ability of each retailer for the target cigarettes.

[0058] As an alternative embodiment of the present invention, the delivery module includes: an acquisition sub-module, configured to acquire the total delivery volume of the target cigarette in the target area during a preset delivery period and the delivery labels corresponding to a plurality of delivery methods adopted in the target area, where the delivery labels are determined according to the attribute information of the cigarette retail outlets; a third determination sub-module, configured to determine, according to the delivery labels corresponding to the plurality of delivery methods, a plurality of cigarette retail outlets to be delivered corresponding to each delivery label; a fourth determination sub-module, configured to determine the sales capacity of each cigarette retail outlet to be delivered for the target cigarette; a fifth determination sub-module, configured to determine a plurality of target delivery labels according to the sales capacity of each cigarette retail outlet to be delivered for the target cigarette; and a first delivery sub-module, configured to perform a delivery operation on the target cigarette according to the total sales capacity of the plurality of target cigarette retail outlets corresponding to each target delivery label.

[0059] As an alternative embodiment of the present invention, the first delivery sub-module includes: a sorting sub-module, configured to sort the total sales capacity; and a second delivery sub-module, configured to deliver the target cigarette according to the sorting result and the total delivery volume of the target cigarette.

[0060] An embodiment of the present invention further provides an electronic device, as Figure 3 shown. The electronic device may include a processor 401 and a memory 402, where the processor 401 and the memory 402 may be connected through a bus or other means. Figure 3 Taking the connection through the bus as an example.

[0061] The processor 401 may be a central processing unit (CPU). The processor 401 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., or a combination of the above types of chips.

[0062] The memory 402, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the cigarette delivery method in the embodiment of the present invention. The processor 401 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 402, that is, implements the cigarette delivery method in the above method embodiments.

[0063] The memory 402 may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function. The data storage area may store data created by the processor 401 and the like. In addition, the memory 402 may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 402 may optionally include a memory remotely provided relative to the processor 401, and these remote memories may be connected to the processor 401 through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0064] The one or more modules are stored in the memory 402 and, when executed by the processor 401, execute the cigarette delivery method in the Figure 1 illustrated embodiment.

[0065] Specific details of the above electronic device may be understood by referring to the Figure 1 corresponding relevant descriptions and effects in the illustrated embodiment, and will not be elaborated here.

[0066] Those skilled in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it may include the processes of the embodiments of the above methods. Among them, the storage medium may be a magnetic disk, an optical disc, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD), etc.; the storage medium may also include a combination of the above types of memories.

[0067] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A cigarette delivery method, characterized in that, Including: Obtaining the attribute information of multiple cigarette retail outlets in the target area and the historical sales data of the target cigarettes corresponding to each cigarette retail outlet, wherein the attribute information of the multiple cigarette retail outlets includes the location information of each cigarette retail outlet; Obtaining the target consumer group data and point-of-interest data corresponding to each cigarette retail outlet according to the location information of each cigarette retail outlet; Determining multiple tag data corresponding to the target consumer group data and multiple tag data corresponding to the point-of-interest data according to the target consumer group data and the point-of-interest data; Calculating the Pearson correlation coefficient corresponding to each tag data for the target cigarette according to the historical sales data of the target cigarette corresponding to each cigarette retail outlet, the multiple tag data corresponding to the target consumer group data, and the multiple tag data corresponding to the point-of-interest data, and the Pearson correlation coefficient is used to characterize the correlation between the sales volume of the target cigarette corresponding to the cigarette retail outlet and the target consumer group data and the point-of-interest data; Calculating the sales ability of each cigarette retail outlet for the target cigarette according to the correlation; Conducting the placement of the target cigarette according to the sales ability of each cigarette retail outlet for the target cigarette; The placement of the target cigarette according to the sales ability of each cigarette retail outlet for the target cigarette includes: Obtaining the total placement quantity of the target cigarette in the target area during the preset placement period and the placement tags corresponding to the multiple placement methods adopted in the target area, and the placement tags are determined according to the attribute information of the cigarette retail outlet; Determining multiple cigarette retail outlets to be placed corresponding to each placement tag according to the placement tags corresponding to the multiple placement methods; Determining the sales ability of each cigarette retail outlet to be placed for the target cigarette; Determining multiple target placement tags according to the sales ability of each cigarette retail outlet to be placed for the target cigarette; the multiple target placement tags are determined through the following steps: each placement tag corresponds to multiple cigarette retail outlets to be placed, calculating the average value of the sales ability scores of the multiple cigarette retail outlets to be placed corresponding to each placement tag for the target cigarette, and determining the sales ability score of each placement tag for the target cigarette according to the average value; sorting the sales ability scores of the multiple placement tags for the target cigarette, determining the placement tag corresponding to the maximum value of the sales ability score according to the sorting result, taking the placement method corresponding to this tag as the placement method for this placement operation, and taking the multiple placement tags corresponding to this placement method as the multiple target placement tags; Performing the placement operation of the target cigarette according to the total sales ability of the multiple target cigarette retail outlets to be placed corresponding to each target placement tag.

2. The method according to claim 1, characterized in that, The calculating the sales ability of each cigarette retail outlet for the target cigarette according to the correlation includes: Performing normalization processing on each tag data; Performing weighted summation on the normalized each tag data and the corresponding Pearson correlation coefficient to determine the sales ability of each retailer for the target cigarette.

3. The method according to claim 1, characterized in that, Performing a placement operation on the target cigarettes according to the total sales capabilities of multiple target cigarette retail points corresponding to each target placement tag, including: Sorting the total sales capabilities; Placing the target cigarettes according to the sorting result and the total placement quantity of the target cigarettes.

4. A cigarette dispensing device, characterized in that, For performing the method described in claim 1, including: A first acquisition module, configured to acquire attribute information of multiple cigarette retail points in a target area and historical sales data of target cigarettes corresponding to each cigarette retail point, where the attribute information of the multiple cigarette retail points includes location information of each cigarette retail point; A second acquisition module, configured to acquire target consumer group data and point-of-interest data corresponding to each cigarette retail point according to the location information of each cigarette retail point; A first calculation module, configured to calculate the correlation relationship between the sales volume of target cigarettes corresponding to each cigarette retail point and the target consumer group data and the point-of-interest data according to the historical sales data, the target consumer group data, and the point-of-interest data; A second calculation module, configured to calculate the sales capabilities of each cigarette retail point for the target cigarettes according to the correlation relationship; A placement module, configured to place the target cigarettes according to the sales capabilities of each cigarette retail point for the target cigarettes.

5. The device according to claim 4, characterized in that, The first calculation module includes: A first determination sub-module, configured to determine multiple tag data corresponding to the target consumer group data and multiple tag data corresponding to the point-of-interest data according to the target consumer group data and the point-of-interest data; A calculation sub-module, configured to calculate the Pearson correlation coefficient between the target cigarettes and each tag data according to the historical sales data of the target cigarettes, the multiple tag data corresponding to the target consumer group data, and the multiple tag data corresponding to the point-of-interest data, where the Pearson correlation coefficient is used to characterize the correlation relationship.

6. The device according to claim 5, characterized in that The calculation sub-module includes: A processing sub-module, configured to perform normalization processing on each tag data; A second determination sub-module, configured to perform weighted summation on each normalized tag data and the corresponding Pearson correlation coefficient to determine the sales capabilities of each retailer for the target cigarettes.

7. An electronic device, characterized in that, Including: At least one processor; And a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the cigarette placement method described in any one of claims 1-3.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the cigarette placement method described in any one of claims 1-3.

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