CN110443687B - Electronic commerce platform based on big data - Google Patents

Electronic commerce platform based on big data Download PDF

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CN110443687B
CN110443687B CN201910739996.0A CN201910739996A CN110443687B CN 110443687 B CN110443687 B CN 110443687B CN 201910739996 A CN201910739996 A CN 201910739996A CN 110443687 B CN110443687 B CN 110443687B
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陈军
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Jiangsu Yihui Software Technology Co ltd
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Abstract

The invention discloses an electronic commerce platform based on big data, which comprises a back-end management cloud platform and a distribution management platform connected with the back-end management cloud platform, wherein the distribution management platform comprises an image acquisition and acquisition module, an image analysis and comparison module, a commodity feature construction module, a platform management module, a cloud server, a distribution client terminal and a configuration database; the image acquisition module is respectively connected with the commodity feature construction module and the image analysis comparison module, the configuration database is respectively connected with the image analysis comparison module, the commodity feature construction module, the plurality of distribution client terminals, the platform management module and the cloud server, and the platform management module is respectively connected with the distribution client terminals and the cloud server. The invention reasonably distributes the commodities to different shops by counting the purchasing conditions of purchasing staff of all ages and all sexes in all distribution areas to all commodity grades under all commodity types, improves the selling speed and realizes the reasonable distribution of the commodity distribution.

Description

Electronic commerce platform based on big data
Technical Field
The invention belongs to the technical field of electronic commerce, and relates to an electronic commerce platform based on big data.
Background
Electronic commerce generally refers to a novel business operation mode in which, in wide commercial and trade activities worldwide, in an internet environment open on the internet, buyers and sellers conduct various commercial and trade activities without conspiracy based on a client/server application mode, and consumer online shopping, online transactions and online electronic payments among merchants, and various commercial activities, transaction activities, financial activities, and related comprehensive service activities are realized.
In the existing electronic commerce, distribution processing commodities are realized through cooperation with a partner in the commodity sales process, but the existing distribution processing commodities cannot be distributed according to various commodity types and commodity grades reasonable under the commodity types by consumer groups of various distribution places, so that the demand that the quantity of purchased commodities of part of distribution client terminals is far smaller than that of local purchasing people exists, the quantity of sold commodities of other distribution client terminals is far smaller than that of purchased commodities, the commodities cannot be sold out within a specified quality guarantee period due to commodity sales lag, the problems of low commodity sales speed, poor rationality of distribution planning, poor sales benefits of the distribution client terminals and the like exist, and in order to solve the problems, an electronic commerce platform based on big data is designed.
Disclosure of Invention
The invention aims to provide an electronic commerce platform based on big data, which can obtain a user comprehensive tendency satisfaction degree coefficient corresponding to each commodity grade, a distribution proportion coefficient of each commodity grade and a commodity quantity corresponding to each commodity grade under each commodity type to be distributed by counting the commodity quantity of each commodity grade purchased by purchasers of each gender and age in each distribution client terminal area and analyzing the commodity quantity corresponding to each commodity grade under each commodity type, and solves the problems that the electronic commerce platform in the prior art can not reasonably distribute commodities according to the condition of sales of each distribution client terminal, the commodity distribution rationality is poor, the commodity sales speed is slow, and the benefit of each distribution client terminal for selling commodities is low.
The purpose of the invention can be realized by the following technical scheme:
an electronic commerce platform based on big data comprises a back-end management cloud platform and a distribution management platform, wherein the back-end management cloud platform and the distribution management platform are connected through a wireless communication network;
the distribution management platform comprises an image acquisition module, an image analysis and comparison module, a commodity feature construction module, a platform management module, a cloud server, a plurality of distribution client terminals and a configuration database;
the system comprises an image acquisition and acquisition module, a configuration database, a commodity feature construction module, a plurality of distribution client terminals, a platform management module and a cloud server, wherein the image acquisition and acquisition module is respectively connected with the commodity feature construction module and the image analysis comparison module;
the system comprises an image acquisition and acquisition module, a commodity feature construction module and a commodity feature acquisition and comparison module, wherein the image acquisition and acquisition module is a high-definition camera, is installed in each distribution shop and is used for acquiring images of personnel entering the shop to purchase commodities, acquiring commodity images purchased by the purchasing personnel, sending the acquired purchasing personnel and the purchased commodity images to the image analysis and comparison module, acquiring images of commodities corresponding to commodity grades of each commodity type in the shop and sending the acquired commodity images corresponding to the commodity grades of each commodity type to the commodity feature construction module;
the image analysis and comparison module is used for receiving the purchasing staff and the purchased commodity images sent by the image acquisition and collection module, extracting the characteristics of the acquired images of the purchasing staff, sending the extracted image characteristics of the purchasing staff to the configuration database, comparing the image characteristics of the purchasing staff with the characteristic images of the purchasing staff stored in the configuration database, accumulating the times of purchasing of the purchasing staff corresponding to the image characteristics, simultaneously extracting the characteristics of the received commodity images purchased by the purchasing staff, comparing the extracted characteristics corresponding to the purchased commodity images with the commodity special characteristic data sets corresponding to the commodities stored in the configuration database, screening out the commodity grade under the commodity type most matched with the commodity special characteristic data sets stored in the configuration database, and counting the quantity of the commodity grades purchased by the purchasing staff under the commodity types, establishing a connection corresponding relation between a purchasing person and the purchasing times and the quantity of each commodity grade under each commodity type, and sending the counted commodity quantity corresponding to each commodity grade under each commodity type which is cumulatively purchased by the purchasing person to a configuration database;
the commodity feature construction module is used for receiving the commodity images corresponding to the commodity grades of the commodity types sent by the image acquisition and collection module, extracting features of the commodity images corresponding to the commodity grades of the commodity types, establishing a commodity special feature data set according to the extracted features of the commodity images corresponding to the commodity grades of the commodity types, and sending the commodity special feature data set corresponding to the commodity grades of the commodity types to the configuration database;
the configuration database is used for storing the quantity corresponding to each commodity grade under each commodity type purchased by each distribution client terminal and storing the residual quantity corresponding to each commodity grade under each commodity type, and is divided into a plurality of data storage units, each data storage unit is provided with a corresponding distribution client terminal, each data storage unit is stored with the quantity corresponding to each commodity grade under each commodity type sold and purchased by the distribution store, and stores image information of purchasers who purchase the commodities corresponding to the commodity grades under the commodity types and the commodity quantity corresponding to the commodity grades under the commodity types purchased by the purchasers each time, simultaneously storing the characteristics of purchasing personnel corresponding to each store and storing a commodity special characteristic data set corresponding to each commodity grade under each commodity type, and storing the commodity quantity corresponding to each commodity grade under each commodity type which is cumulatively purchased by each purchaser;
the distribution client terminal is used for counting the quantity corresponding to each commodity grade under each commodity type sold by each distribution store in the area in the configuration database in real time, meanwhile, counting the age stage of a purchaser, the sex of the purchaser and the commodity grade corresponding to each commodity grade under each commodity type, sending the sales quantity corresponding to each commodity grade under each commodity type, the age stage of each purchaser, the sex of the purchaser and the commodity grade corresponding to each commodity type purchased by each purchaser to the platform management module, and sending the sales quantity corresponding to each commodity grade under each commodity type to the cloud server;
the platform management module is used for receiving the sales quantity corresponding to each commodity grade under each commodity type and the age stage of a purchaser, the sex of the purchaser and the commodity grade corresponding to the commodity type purchased by each purchaser, extracting the quantity corresponding to each commodity grade under each commodity type purchased by the distribution client terminal in the configuration database, counting the residual quantity corresponding to each commodity grade under each commodity type according to the purchase quantity corresponding to each commodity grade and the sales quantity under each commodity type, storing the counted residual quantity corresponding to each commodity grade under each commodity type into the configuration database, and counting the quantity of commodities purchased by the purchaser under each commodity stage according to the age stage of the purchaser, the sex of the purchaser and the commodity grade corresponding to the commodity type purchased by each purchaser, the method comprises the steps of extracting the quantity of commodities corresponding to each commodity grade under all commodity types purchased by purchasers in all age groups in a configuration database, and constructing a first purchased commodity grade set B by using the quantity of commodities corresponding to each commodity grade under all commodity types purchased by purchasers in all age groupsLF(bLF1,bLF2,...,bLFf,...,bLFg)，BLFExpressed as the LF yearA set of quantity of goods corresponding to each grade of goods purchased by a purchaser of age group, bLFf is the number of commodities purchased by the purchaser in the LF age range in the f commodity grade, g is the total grade number corresponding to the commodity type, meanwhile, the gender of each purchaser is counted, and the number of commodities corresponding to each commodity grade under each commodity type purchased by each purchaser is counted to construct a second purchased commodity grade set Cp(cp1,cp2,...,cpf,...,cpg) P is represented as the sex of the purchaser, p is equal to 1, represented as a male purchaser, p is equal to 2, represented as a female purchaser, cpf represents the quantity of the goods purchased by the male or female purchasing personnel at the f-th goods level, and the platform management module collects the first purchased goods level BLFAnd a second purchased goods grade set CpSending the data to a cloud server;
the cloud server is used for receiving the sales quantity corresponding to each commodity grade under each commodity type sent by the distribution client terminal, extracting the quantity corresponding to each commodity grade under each commodity type purchased by each distribution client terminal and stored in the configuration database, and establishing a distribution basic commodity grade data set USv(uSv1,uSvx2,...,uSvg)，USvThe item quantity set u corresponding to each item class of the vth item type is sold to the S distribution client terminalSvg represents the quantity of commodities corresponding to the g-th commodity grade under the condition that the S-th distribution client terminal sells the v-th commodity type, and the total quantity of the commodities corresponding to different commodity grades under different commodity types sold by each distribution client terminal is counted
Figure GDA0002571783180000051
Screening T with the maximum total number of commodity salesSAnd will have a maximum of TSThe corresponding distribution client terminal is used as a standard distribution client terminal, and the total number of distributed commodities corresponding to other distribution client terminals is collected with the total number of standard distributed commodities Uxv(uxv1,uxv2,...,uxvg) Comparing to obtain a comparison set of the total number of the distributed commoditiesU′Sv(u′Sv1,u′Sv2,...,u′Svg) 1,2,3, and x ∈ S, u'xvg is expressed as a difference value between the number of g-th commodity grade sales in the v-th commodity type in the S-th distributor client terminal and the number of g-th commodity grade sales in the v-th commodity type in the standard distributor client terminal; meanwhile, the sales quantity corresponding to each commodity grade under the same commodity type is counted to form a distribution commodity type set YS(yS1,yS2,...,ySv)，ySv represents the number of sales commodities corresponding to the v-th commodity type sold by the S-th distribution client terminal, the sales completion proportionality coefficient corresponding to each commodity type is counted according to the distribution commodity type set and the distribution basic commodity grade data set, and the cloud server acquires the sales completion proportionality coefficient corresponding to each commodity type sold by each distribution client terminal
Figure GDA0002571783180000052
Sending the data to a back-end management cloud platform and sending the maximum TSThe corresponding set of the total number of the standard distributed commodities in the distribution client terminal and the set of the total number of the distributed commodities are compared and sent to a back-end management cloud platform;
meanwhile, the cloud server receives a first purchased commodity grade set B sent by the platform management moduleLFAnd a second purchased goods grade set CpAccording to the first purchased goods grade set BLFAnd combining the commodity quantity corresponding to each commodity grade corresponding to each purchasing person in the configuration database, counting the number of persons purchasing each commodity grade in each age group by the purchasing person, and constructing an age group set D of the commodity purchasing grade by the number of persons corresponding to the purchased commodity gradeLF(dLF1,dLF2,...,dLFf,...,dLFg)，dLFf represents the number of persons who purchase the f-th commodity grade for the purchasing persons of the LF age group, extracts the gender of the persons corresponding to the purchased commodity grade, and constructs a gender set R of the commodity purchase grade according to the purchasing conditions of the commodities corresponding to the commodity grades under different genders of the purchasing personsp(rp1,rp2,...,rpf,...,rpg) P represents the sex of the purchaser and is 1 or 2, p ═ 1 represents the male purchaser, p ═ 2 represents the female purchaser, r represents the female purchaserpf represents the number of persons who purchase men or women corresponding to the f-th commodity level, and sets D age groups of commodity purchase levelsLFAnd gender set R of merchandise purchase ratingspSending the data to a back-end management cloud platform;
the cloud server sets D according to age groups of commodity purchase gradesLFGender set R of merchandise purchase ratingpStandard total number of distributed commodities set UxvSet U 'is compared to total quantity of commodities distributed'SvAnd combining the sale completion proportionality coefficients corresponding to the commodity types
Figure GDA0002571783180000061
Counting the user comprehensive tendency satisfaction coefficient corresponding to each commodity grade, and enabling the cloud server to calculate the user comprehensive tendency satisfaction coefficient psi corresponding to each commodity grade of each distribution client terminalSfSending the data to a back-end management cloud platform;
the back-end management cloud platform is used for receiving sales completion proportionality coefficients corresponding to various commodity types sold by various distribution client terminals and sent by the cloud server
Figure GDA0002571783180000062
User comprehensive tendency satisfaction coefficient and maximum T corresponding to each commodity grade of each distribution client terminalSA standard distribution commodity total quantity set, a distribution commodity total quantity comparison set and an age group set D of commodity purchase grades in the corresponding distribution client terminalLFAnd gender set R of merchandise purchase ratingspThe backend management cloud platform is according to the maximum TSThe corresponding standard distribution commodity total number set, distribution commodity total number comparison set and distribution completion proportionality coefficient in the distribution client terminal
Figure GDA0002571783180000063
And user comprehensive inclination corresponding to each commodity grade of each distribution client terminalTo the satisfaction factor psiSfCounting the proportional coefficient of each distribution client terminal to the distribution of each commodity grade under the same commodity type
Figure GDA0002571783180000071
ψSfA user comprehensive tendency satisfaction coefficient corresponding to the f-th commodity grade expressed as the S-th distribution client terminal,
Figure GDA0002571783180000072
the sales completion proportionality coefficient u corresponding to the v-th commodity type sold by the S-th distribution client terminal is expressedSvf denotes the number of products u 'corresponding to the f-th product grade in the v-th product type sold by the S-th distribution client terminal'xvf is expressed as a difference between the number of the f-th commodity grade sales in the v-th commodity type in the S-th distributor client terminal and the number of the g-th commodity grade sales in the v-th commodity type in the standard distributor client terminal, uxvf is represented by T with the maximum total number of sales of the goodsSThe back-end management cloud platform calculates the quantity W of the delivered commodity grade according to the distribution proportion coefficient of the commodity of each commodity grade of the same commodity type sold by each distribution client terminalSvf＝βuSvf*φSvfβ is expressed as a distribution scale factor, taking 1.15, wherein the distribution scale factor of each distributor terminal for each commodity class under the same commodity type is equal to the demand factor of the distributor terminal for each commodity class under each commodity type;
the back end manages the cloud platform and sets D according to the age groups of the received commodity purchasing gradesLFCounting influence coefficients of age groups in which the distribution client terminals are located on commodity sales, and collecting R according to the received gender of the commodity purchase levelpAnd counting the influence coefficient of the gender on commodity sales in the range of each distribution client terminal.
Further, the commodity special feature data set is Ai(aik1,aik2,...,aikj,...,aikm), i 1,2,., h, h denotes the type of item type, k denotes the item class for each item type, k 1,2,.., f,.., g, aikj represents the jth commodity feature corresponding to the kth commodity grade under the ith commodity type, and the corresponding weights of different commodity features are gaik1,gaik2,...,gaikj,...,gaiKm, and gaik1+gaik2+...+gaikj+...+gaikm＝1。
Further, the calculation formula of the sales completion proportionality coefficient corresponding to each commodity type is
Figure GDA0002571783180000081
v＝1,2,...,v′，
Figure GDA0002571783180000087
Showing a sales completion proportionality coefficient corresponding to a sales volume of a vth commodity type for the S-th distribution client terminal, wherein the larger the sales completion proportionality coefficient is, the larger the quantity of commodities of each commodity grade under the commodity type is shown, v' shows the quantity of the commodity types sold by each distribution client terminal, uSvg represents the number of commodities corresponding to the g-th commodity grade under the v-th commodity type sold by the S-th distribution client terminal, ySv denotes the number of sales items corresponding to the v-th item type sold for the S-th distributor client terminal.
Further, the calculation formula of the user comprehensive tendency satisfaction coefficient corresponding to each commodity grade counted by the cloud server is
Figure GDA0002571783180000083
uSvf denotes the number of commodities corresponding to the f-th commodity grade in the v-th commodity type sold for the S-th distributor client terminal,
Figure GDA0002571783180000084
expressing that the S-th distribution client terminal sells the sales completion proportionality coefficient corresponding to the v-th commodity type, expressing that lambda is a proportionality coefficient factor, the value is less than 1, and dLFf represents the number of persons who purchased the f-th merchandise rate for purchasers in the LF age group, dLFfmaxThe number of purchasers corresponding to the purchase level having the largest number of purchased commodities corresponding to each commodity level in the LF age group,
Figure GDA0002571783180000085
representing the total number of purchasers, r, corresponding to the grades of each commodity purchased for each age grouppf represents the number of persons who purchased men or women corresponding to the f-th commodity level, rpfmaxRepresenting the number of purchasers corresponding to the purchase level with the largest number of purchased commodities corresponding to each commodity level among male or female purchasing users,
Figure GDA0002571783180000086
is expressed as the sum of the number of purchasers, u ', corresponding to the respective product grades of the cumulative purchase of the males and the females'Svf is expressed as a difference between the number of the f-th commodity sales in the v-th commodity type in the S-th distributor client terminal and the number of the f-th commodity sales in the v-th commodity type in the standard distributor client terminal.
Further, the calculation formula of the influence coefficient of the age group on the commodity sales is
Figure GDA0002571783180000092
dLFf is expressed as the number of persons who purchased the f-th merchandise rating for purchasers in the LF age group, θLFExpressed as the coefficient of influence of the purchaser of the LF-th age on the sale of the goods.
Further, the influence coefficient of the gender on commodity sales is calculated by the formula
Figure GDA0002571783180000091
rpf is the number of persons who purchased the male or female corresponding to the f-th commodity level, τpExpressed as the coefficient of influence of a male or female purchaser on the sale of goods.
The invention has the beneficial effects that:
compared with the prior art, the electronic commerce platform based on the big data provided by the invention has the advantages that the electronic commerce platform counts the sales completion proportionality coefficient corresponding to each commodity type according to the distribution commodity type set and the distribution basic commodity grade data set by screening the distribution client terminal with the largest total quantity of the sales of commodities under each commodity type sold by each distribution client terminal, lays a foundation for later commodity sales analysis and can visually display the overall sales condition of each commodity type;
the method comprises the steps of establishing a first purchased commodity grade set and a second purchased commodity grade set by analyzing the age stage of a purchaser, the gender of the purchaser and the commodity grade corresponding to the commodity type purchased by the purchaser, establishing an age group set of the commodity purchase grade and a gender set of the commodity purchase grade by the first purchased commodity grade set and the second purchased commodity grade set respectively, conveniently performing the listing analysis on the behavior of purchasing each commodity grade under each commodity type and the age and gender of the purchaser, obtaining the influence coefficient of the age group on commodity sales and the influence coefficient of the gender on commodity sales, displaying the purchase demands of each age group and the gender on each commodity type according to the gender and the age, intuitively selling targeted age groups and targeted sales groups of commodities, and realizing the vertical purchase comparison analysis of purchasers in each age group, the purchasing comparison analysis of purchasers of different genders is displayed, the favor degree of each purchased commodity of each gender or age group can be comprehensively reflected, and reliable reference opinions are provided for the commodity distribution of the later-stage electronic commerce counter;
the cloud server counts the comprehensive tendency satisfaction degree coefficient of the user corresponding to each commodity grade through the age group set of the commodity purchase grade, the gender set of the commodity purchase grade, the total quantity set of standard distributed commodities, the total quantity comparison set of distributed commodities and the sales completion proportion coefficient corresponding to each commodity type, the commodity grades selected by the mass purchasing users can be visually displayed through the user comprehensive tendency satisfaction degree coefficient corresponding to each commodity grade, the overall sales completion condition of each commodity grade is further reflected, the rear-end management cloud platform convenient for electronic goods reasonably distributes the goods grades under the goods types according to the tendency satisfaction coefficient of the purchasing user, ensures that the goods types and the goods grades adopted by the distributing client terminals meet the consumption requirements of personnel in the region, improves the selling speed of the goods and realizes the reasonable distribution of the goods.
In addition, the back-end management cloud platform of the electronic commerce counts the distribution proportion coefficient of each commodity grade under each commodity type distributed by each distribution client terminal through the comparison set of the total quantity of distributed commodities, the sales completion proportion coefficient, the user comprehensive tendency satisfaction degree coefficient corresponding to each commodity grade of each distribution client terminal and the like, and the quantity of the commodities corresponding to each commodity grade under each commodity type to be distributed is counted according to the distribution proportion coefficient, guiding reference opinions are provided for each commodity grade of the distributed commodities of each store in the later period, the electronic commodities are ensured to be sold according to the condition of the commodities previously sold by each distribution client terminal, the commodity can be distributed to the shop to meet the consumption of the crowd in the region where the shop is located, the reasonable distribution is realized, and promotes the fastest selling speed of the commodities and maximizes the benefit of the commodities sold by the store.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram of a big data based e-commerce platform according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an electronic commerce platform based on big data includes a backend management cloud platform and a distribution management platform, where the backend management cloud platform and the distribution management platform are connected through a wireless communication network;
the distribution management platform comprises an image acquisition module, an image analysis and comparison module, a commodity feature construction module, a platform management module, a cloud server, a plurality of distribution client terminals and a configuration database;
the image acquisition and acquisition module is respectively connected with the commodity feature construction module and the image analysis comparison module, the configuration database is respectively connected with the image analysis comparison module, the commodity feature construction module, the plurality of distribution client terminals, the platform management module and the cloud server, and the platform management module is respectively connected with the distribution client terminals and the cloud server.
The system comprises an image acquisition and acquisition module, a commodity feature construction module and a commodity feature acquisition and comparison module, wherein the image acquisition and acquisition module is a high-definition camera, is installed in each distribution shop and is used for acquiring images of personnel entering the shop to purchase commodities, acquiring commodity images purchased by the purchasing personnel, sending the acquired purchasing personnel and the purchased commodity images to the image analysis and comparison module, acquiring images of commodities corresponding to commodity grades of each commodity type in the shop and sending the acquired commodity images corresponding to the commodity grades of each commodity type to the commodity feature construction module;
the image analysis and comparison module is used for receiving the purchasing staff and the purchased commodity images sent by the image acquisition and collection module, extracting the characteristics of the acquired images of the purchasing staff, sending the extracted image characteristics of the purchasing staff to the configuration database, comparing the image characteristics of the purchasing staff with the characteristic images of the purchasing staff stored in the configuration database, accumulating the times of purchasing of the purchasing staff corresponding to the image characteristics, simultaneously extracting the characteristics of the received commodity images purchased by the purchasing staff, comparing the extracted characteristics corresponding to the purchased commodity images with the commodity special characteristic data sets corresponding to the commodities stored in the configuration database, screening out the commodity grade under the commodity type which is most matched with the commodity special characteristic data sets stored in the configuration database, and counting the quantity of the commodity grades purchased by the purchasing staff under the commodity types, establishing a connection corresponding relation between the purchasing personnel and the purchasing times and the quantity of each commodity grade under each commodity type, and sending the counted commodity quantity corresponding to each commodity grade under each commodity type which is cumulatively purchased by the purchasing personnel to the configuration database.
The commodity feature construction module is used for receiving the commodity images corresponding to the commodity grades of the commodity types sent by the image acquisition and acquisition module, extracting features of the commodity images corresponding to the commodity grades of the commodity types, and establishing a commodity special feature data set A by using the extracted features of the commodity images corresponding to the commodity grades of the commodity typesi(aik1,aik2,...,aikj,...,aikm), i 1,2,., h, h denotes the type of item type, k denotes the item class for each item type, k 1,2,.., f,.., g, aikj represents the jth commodity feature corresponding to the kth commodity grade under the ith commodity type, and the corresponding weights of different commodity features are gaik1,gaik2,...,gaikj,...,gaiKm, and gaik1+gaik2+...+gaikj+...+gaiAnd when km is 1, the commodity feature construction module sends the commodity special feature data set corresponding to each commodity grade under each commodity type to the configuration database.
The configuration database is used for storing the quantity corresponding to each commodity grade under each commodity type purchased by each distribution client terminal and storing the residual quantity corresponding to each commodity grade under each commodity type, and is divided into a plurality of data storage units, the data storage units are the same as the quantity of distribution merchants in the detection area, the divided data storage units are respectively numbered and are respectively 1,2,3, 9 and n, each data storage unit is provided with a distribution client terminal corresponding to the data storage unit, namely each data storage unit is the same as the serial number of the distribution client terminal stored in the data storage unit, each data storage unit is used for storing the quantity corresponding to each commodity grade under each commodity type sold and purchased by the distribution merchant, and storing the image information of purchasers corresponding to each commodity grade under each commodity type purchased by each purchaser each time and the quantity of commodities corresponding to each commodity grade under each commodity type purchased by each purchaser each time, and simultaneously storing the characteristics of the purchasers corresponding to each store and the commodity special characteristic data set corresponding to each commodity grade under each commodity type, and storing the commodity quantity corresponding to each commodity grade under each commodity type which is cumulatively purchased by each purchaser.
The distribution client terminal is used for counting the quantity corresponding to each commodity grade under each commodity type sold by each distribution store in the area in the configuration database in real time, meanwhile, counting the age stage of a purchaser corresponding to each commodity grade under each commodity type, the sex of the purchaser and the commodity grade corresponding to the commodity type purchased by the purchaser, sending the sales quantity corresponding to each commodity grade under each commodity type, the age stage of each purchaser, the sex of the purchaser and the commodity grade corresponding to the commodity type purchased by each purchaser to the platform management module, and sending the sales quantity corresponding to each commodity grade under each commodity type to the cloud server, wherein the age stage takes 5-year intervals as an age division point, and the age stages are divided into: l1, L2.., LE, wherein LI corresponds to an age range of 15-20 years and LE corresponds to an age range of (10+5E) - (15+5E) years;
the platform management module is used for receiving the sales quantity corresponding to each commodity grade under each commodity type and the age stage of a purchaser, the sex of the purchaser and the commodity grade corresponding to the commodity type purchased by each purchaser sent by each distribution client terminal, extracting the quantity corresponding to each commodity grade under each commodity type purchased by the distribution client terminal in the configuration database, counting the residual quantity corresponding to each commodity grade under each commodity type according to the purchase quantity corresponding to each commodity grade under each commodity type and the sales quantity, and pairing the counted commodity grades under each commodity typeThe corresponding residual quantity is stored in a configuration database, a platform management module counts the quantity of the commodities corresponding to each commodity grade purchased by the purchasing personnel at each age stage according to the age stage of the purchasing personnel, the sex of the purchasing personnel and the commodity grade corresponding to the commodity type purchased by each purchasing personnel, extracts the quantity of the commodities corresponding to each commodity grade purchased by the purchasing personnel at each age stage in the configuration database at all commodity types, and constructs a first purchased commodity grade set B according to the quantity of the commodities corresponding to each commodity grade purchased by the purchasing personnel at each age stage at all commodity typesLF(bLF1,bLF2,...,bLFf,...,bLFg)，BLFSet of quantity of commodities corresponding to each commodity grade purchased by a purchaser of the LF age group, bLFf is the number of commodities purchased by the purchaser in the LF age range in the f commodity grade, g is the total grade number corresponding to the commodity type, meanwhile, the gender of each purchaser is counted, and the number of commodities corresponding to each commodity grade under each commodity type purchased by each purchaser is counted to construct a second purchased commodity grade set Cp(cp1,cp2,...,cpf,...,cpg) P is represented as the sex of the purchaser, p is equal to 1, represented as a male purchaser, p is equal to 2, represented as a female purchaser, cpf represents the quantity of the goods purchased by the male or female purchasing personnel at the f-th goods level, and the platform management module collects the first purchased goods level BLFAnd a second purchased goods grade set CpAnd sending the data to a cloud server.
The cloud server is used for receiving the sales quantity corresponding to each commodity grade under each commodity type sent by the distribution client terminal, extracting the quantity corresponding to each commodity grade under each commodity type purchased by each distribution client terminal and stored in the configuration database, and establishing a distribution basic commodity grade data set USv(uSv1,uSvx2,...,uSvg)，USvThe item quantity set u corresponding to each item class of the vth item type is sold to the S distribution client terminalSvg represents selling the v-th commodity type for the S-th distribution client terminalThe quantity of commodities corresponding to the g-th commodity grade is counted, and the total quantity of commodity sales corresponding to different commodity grades under different commodity types sold by each distribution client terminal is counted
Figure GDA0002571783180000141
Screening T with the maximum total number of commodity salesSAnd will have a maximum of TSThe corresponding distribution client terminal is used as a standard distribution client terminal, and the total number of distributed commodities corresponding to other distribution client terminals is collected with the total number of standard distributed commodities Uxv(uxv1,uxv2,...,uxvg) Comparing to obtain a comparison set U 'of total quantity of distributed commodities'Sv(u′Sv1,u′Sv2,...,u′Svg) 1,2,3, and x ∈ S, u'xvg is expressed as a difference value between the number of g-th commodity grade sales in the v-th commodity type in the S-th distributor client terminal and the number of g-th commodity grade sales in the v-th commodity type in the standard distributor client terminal; meanwhile, the sales quantity corresponding to each commodity grade under the same commodity type is counted to form a distribution commodity type set YS(yS1,yS2,...,ySv)，ySv represents the number of sales commodities corresponding to the v-th commodity type sold by the S-th distribution client terminal, and the sales completion proportionality coefficients corresponding to the commodity types are counted according to the distribution commodity type set and the distribution basic commodity grade data set
Figure GDA0002571783180000151
v＝1，2，...，v′，
Figure GDA0002571783180000152
Showing a sales completion proportionality coefficient corresponding to a sales volume of a vth commodity type for the S-th distribution client terminal, wherein the larger the sales completion proportionality coefficient is, the larger the quantity of commodities of each commodity grade under the commodity type is shown, v' shows the quantity of the commodity types sold by each distribution client terminal, uSvf denotes the number of commodities corresponding to the f-th commodity level in the v-th commodity type sold by the S-th distributor client terminal, ySv represents the number of sales commodities corresponding to the v-th commodity type sold by the S-th distribution client terminal, and the cloud server acquires the sales completion proportionality coefficient corresponding to each commodity type sold by each distribution client terminal
Figure GDA0002571783180000153
Sending the data to a back-end management cloud platform and sending the maximum TSThe corresponding set of the total number of the standard distributed commodities in the distribution client terminal and the set of the total number of the distributed commodities are compared and sent to a back-end management cloud platform;
meanwhile, the cloud server receives a first purchased commodity grade set B sent by the platform management moduleLFAnd a second purchased goods grade set CpAccording to the first purchased goods grade set BLFAnd combining the commodity quantity corresponding to each commodity grade corresponding to each purchasing person in the configuration database, counting the number of persons purchasing each commodity grade in each age group by the purchasing person, and constructing an age group set D of the commodity purchasing grade by the number of persons corresponding to the purchased commodity gradeLF(dLF1,dLF2,...,dLFf,...,dLFg)，dLFf represents the number of persons who purchase the f-th commodity grade for the purchasing persons of the LF age group, extracts the gender of the persons corresponding to the purchased commodity grade, and constructs a gender set R of the commodity purchase grade according to the purchasing conditions of the commodities corresponding to the commodity grades under different genders of the purchasing personsp(rp1,rp2,...,rpf,...,rpg) P represents the sex of the purchaser and may be 1 or 2, p ═ 1, represents a male purchaser, p ═ 2, represents a female purchaser, rpf represents the number of persons who purchase men or women corresponding to the f-th commodity level, and sets D age groups of commodity purchase levelsLFAnd gender set R of merchandise purchase ratingspSending the data to a back-end management cloud platform;
age group set D of cloud server according to commodity purchase levelLFGender set R of merchandise purchase ratingpStandard total number of distributed commodities set UxvTotal number of distributed commoditiesComparison set U'SvAnd combining the sale completion proportionality coefficients corresponding to the commodity types
Figure GDA0002571783180000161
Counting the user comprehensive tendency satisfaction coefficient corresponding to each commodity grade
Figure GDA0002571783180000162
uSvf denotes the number of commodities corresponding to the f-th commodity grade in the v-th commodity type sold for the S-th distributor client terminal,
Figure GDA0002571783180000163
expressing that the S-th distribution client terminal sells the sales completion proportionality coefficient corresponding to the v-th commodity type, expressing that lambda is a proportionality coefficient factor, the value is less than 1, and dLFf represents the number of persons who purchased the f-th merchandise rate for purchasers in the LF age group, dLFfmaxThe number of purchasers corresponding to the purchase level having the largest number of purchased commodities corresponding to each commodity level in the LF age group,
Figure GDA0002571783180000164
representing the total number of purchasers, r, corresponding to the grades of each commodity purchased for each age grouppf represents the number of persons who purchased men or women corresponding to the f-th commodity level, rpfmaxRepresenting the number of purchasers corresponding to the purchase level with the largest number of purchased commodities corresponding to each commodity level among male or female purchasing users,
Figure GDA0002571783180000165
is expressed as the sum of the number of purchasers, u ', corresponding to the respective product grades of the cumulative purchase of the males and the females'Svf is the difference value of the f goods grade sales number under the v goods type in the S distribution client terminal and the f goods grade sales number under the v goods type in the standard distribution client terminal, and the cloud server integrates the user comprehensive tendency satisfaction coefficient psi corresponding to each goods grade of each distribution client terminalSfAnd sending the user comprehensive tendency satisfaction coefficient to a back-end management cloud platform, wherein the larger the user comprehensive tendency satisfaction coefficient is, the larger the purchasing tendency of the purchasing user to a certain commodity grade is, namely the higher the sales penetration rate of the purchasing user is.
The back-end management cloud platform is used for receiving sales completion proportionality coefficients corresponding to various commodity types sold by various distribution client terminals and sent by the cloud server
Figure GDA0002571783180000171
User comprehensive tendency satisfaction coefficient and maximum T corresponding to each commodity grade of each distribution client terminalSA standard distribution commodity total quantity set, a distribution commodity total quantity comparison set and an age group set D of commodity purchase grades in the corresponding distribution client terminalLFAnd gender set R of merchandise purchase ratingspThe backend management cloud platform is according to the maximum TSThe corresponding standard distribution commodity total number set, distribution commodity total number comparison set and distribution completion proportionality coefficient in the distribution client terminal
Figure GDA0002571783180000172
And a user comprehensive tendency satisfaction coefficient psi corresponding to each commodity grade of each distribution client terminalSfCounting the proportional coefficient of each distribution client terminal to the distribution of each commodity grade under the same commodity type
Figure GDA0002571783180000173
ψSfA user comprehensive tendency satisfaction coefficient corresponding to the f-th commodity grade expressed as the S-th distribution client terminal,
Figure GDA0002571783180000174
the sales completion proportionality coefficient u corresponding to the v-th commodity type sold by the S-th distribution client terminal is expressedSvf denotes the number of products u 'corresponding to the f-th product grade in the v-th product type sold by the S-th distribution client terminal'xvf is expressed as the number of the f goods grade sales under the v goods type in the S distributor client terminal and the v quotient in the standard distributor client terminalDifference in the number of g-th commodity sales under the type of goods, uxvf is represented by T with the maximum total number of sales of the goodsSThe back-end management cloud platform calculates the quantity W of the delivered commodity grade according to the distribution proportion coefficient of the commodity of each commodity grade of the same commodity type sold by each distribution client terminalSvf＝βuSvf*φSvfβ is expressed as a distribution scale factor, taking 1.15, wherein the distribution scale factor of each distributor terminal for each commodity class under the same commodity type is equal to the demand factor of the distributor terminal for each commodity class under each commodity type;
the back end manages the cloud platform and sets D according to the age groups of the received commodity purchasing gradesLFCounting the influence coefficient of the age group of each distribution client terminal on the commodity sales
Figure GDA0002571783180000181
And sets R according to the gender of the received commodity purchase levelpCounting the influence coefficient of the gender on the commodity sales in the range of each distribution client terminal
Figure GDA0002571783180000182
dLFf represents the number of persons who purchased the f-th merchandise rating for purchasers in the LF age group, rpf represents the number of persons who purchased men or women corresponding to the f-th commodity level, θLFShown as the coefficient of influence, τ, of a purchaser of the LF th age group on the sale of the goodspExpressing the influence coefficient of male or female purchasers on commodity sales, visually showing the influence of the ages and the sexes of the purchasers on the sales according to the counted influence coefficient of the ages and the influence coefficient of the sexes on the commodity sales, and reasonably distributing the number of commodities of each commodity grade under each commodity type to each distribution client terminal according to the demand coefficient required by each distribution client terminal for each commodity grade sales under each commodity typeThe quantity, the maximize has improved the speed of selling commodity of distribution client terminal, promote the maximize of the income that each distribution client terminal sells commodity and brings, promote the distribution speed of commodity, through the consumption level of each distribution client terminal consumer of analysis, the tendency degree of consumer crowd and consumer gender to each commodity grade under each commodity type, the commodity type and the commodity grade that corresponds that the required sale of reasonable arrangement, have the characteristics that the distribution rationalization degree is high, the distribution is fast, guarantee that the commodity that each distribution client terminal sells satisfies the consumer crowd in current region to the at utmost, realize reasonable distribution planning, and drive shop sales interest maximize.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (4)

1. An electronic commerce platform based on big data is characterized in that: the system comprises a back-end management cloud platform and a distribution management platform, wherein the back-end management cloud platform and the distribution management platform are connected through a wireless communication network;
the distribution management platform comprises an image acquisition module, an image analysis and comparison module, a commodity feature construction module, a platform management module, a cloud server, a plurality of distribution client terminals and a configuration database;
the system comprises an image acquisition and acquisition module, a configuration database, a commodity feature construction module, a plurality of distribution client terminals, a platform management module and a cloud server, wherein the image acquisition and acquisition module is respectively connected with the commodity feature construction module and the image analysis comparison module;
the system comprises an image acquisition and acquisition module, a commodity feature construction module and a commodity feature acquisition and comparison module, wherein the image acquisition and acquisition module is a high-definition camera, is installed in each distribution shop and is used for acquiring images of personnel entering the shop to purchase commodities, acquiring commodity images purchased by the purchasing personnel, sending the acquired purchasing personnel and the purchased commodity images to the image analysis and comparison module, acquiring images of commodities corresponding to commodity grades of each commodity type in the shop and sending the acquired commodity images corresponding to the commodity grades of each commodity type to the commodity feature construction module;
the image analysis and comparison module is used for receiving the purchasing staff and the purchased commodity images sent by the image acquisition and collection module, extracting the characteristics of the acquired images of the purchasing staff, sending the extracted image characteristics of the purchasing staff to the configuration database, comparing the image characteristics of the purchasing staff with the characteristic images of the purchasing staff stored in the configuration database, accumulating the times of purchasing of the purchasing staff corresponding to the image characteristics, simultaneously extracting the characteristics of the received commodity images purchased by the purchasing staff, comparing the extracted characteristics corresponding to the purchased commodity images with the commodity special characteristic data sets corresponding to the commodities stored in the configuration database, screening out the commodity grade under the commodity type most matched with the commodity special characteristic data sets stored in the configuration database, and counting the quantity of the commodity grades purchased by the purchasing staff under the commodity types, establishing a connection corresponding relation between a purchasing person and the purchasing times and the quantity of each commodity grade under each commodity type, and sending the counted commodity quantity corresponding to each commodity grade under each commodity type which is cumulatively purchased by the purchasing person to a configuration database;
the commodity feature construction module is used for receiving the commodity images corresponding to the commodity grades of the commodity types sent by the image acquisition and collection module, extracting features of the commodity images corresponding to the commodity grades of the commodity types, establishing a commodity special feature data set according to the extracted features of the commodity images corresponding to the commodity grades of the commodity types, and sending the commodity special feature data set corresponding to the commodity grades of the commodity types to the configuration database;
the configuration database is used for storing the quantity corresponding to each commodity grade under each commodity type purchased by each distribution client terminal and storing the residual quantity corresponding to each commodity grade under each commodity type, and is divided into a plurality of data storage units, each data storage unit is provided with a corresponding distribution client terminal, each data storage unit is stored with the quantity corresponding to each commodity grade under each commodity type sold and purchased by the distribution store, and stores image information of purchasers who purchase the commodities corresponding to the commodity grades under the commodity types and the commodity quantity corresponding to the commodity grades under the commodity types purchased by the purchasers each time, simultaneously storing the characteristics of purchasing personnel corresponding to each store and storing a commodity special characteristic data set corresponding to each commodity grade under each commodity type, and storing the commodity quantity corresponding to each commodity grade under each commodity type which is cumulatively purchased by each purchaser;
the distribution client terminal is used for counting the quantity corresponding to each commodity grade under each commodity type sold by each distribution store in the area in the configuration database in real time, meanwhile, counting the age stage of a purchaser, the sex of the purchaser and the commodity grade corresponding to each commodity grade under each commodity type, sending the sales quantity corresponding to each commodity grade under each commodity type, the age stage of each purchaser, the sex of the purchaser and the commodity grade corresponding to each commodity type purchased by each purchaser to the platform management module, and sending the sales quantity corresponding to each commodity grade under each commodity type to the cloud server;
the platform management module is used for receiving the sales quantity corresponding to each commodity grade under each commodity type and the age stage of a purchaser, the sex of the purchaser and the commodity grade corresponding to the commodity type purchased by each purchaser sent by each distribution client terminal, extracting the quantity corresponding to each commodity grade under each commodity type purchased by the distribution client terminal in the configuration database, counting the residual quantity corresponding to each commodity grade under each commodity type according to the purchase quantity corresponding to each commodity grade under each commodity type and the sales quantity, storing the counted residual quantity corresponding to each commodity grade under each commodity type into the configuration database, and the platform management module performs the operation according to the age stage, the sex and the commodity grade of the purchaser,The sex of the purchasing staff and the commodity grades corresponding to the commodity types purchased by the purchasing staff are counted, the quantity of the commodities corresponding to the commodity grades purchased by the purchasing staff at each age stage is counted, the quantity of the commodities corresponding to the commodity grades purchased by the purchasing staff at each age stage in the configuration database is extracted, and the quantity of the commodities corresponding to the commodity grades purchased by the purchasing staff at each age stage under all the commodity types is constructed into a first purchased commodity grade set BLF(bLF1,bLF2,...,bLFf,...,bLFg)，BLFSet of quantity of commodities corresponding to each commodity grade purchased by a purchaser of the LF age group, bLFf is the number of commodities purchased by the purchaser in the LF age range in the f commodity grade, g is the total grade number corresponding to the commodity type, meanwhile, the gender of each purchaser is counted, and the number of commodities corresponding to each commodity grade under each commodity type purchased by each purchaser is counted to construct a second purchased commodity grade set Cp(cp1,cp2,...,cpf,...,cpg) P is represented as the sex of the purchaser, p is equal to 1, represented as a male purchaser, p is equal to 2, represented as a female purchaser, cpf represents the quantity of the goods purchased by the male or female purchasing personnel at the f-th goods level, and the platform management module collects the first purchased goods level BLFAnd a second purchased goods grade set CpSending the data to a cloud server;
the cloud server is used for receiving the sales quantity corresponding to each commodity grade under each commodity type sent by the distribution client terminal, extracting the quantity corresponding to each commodity grade under each commodity type purchased by each distribution client terminal and stored in the configuration database, and establishing a distribution basic commodity grade data set USv(uSv1,uSvx2,...,uSvg)，USvThe item quantity set u corresponding to each item class of the vth item type is sold to the S distribution client terminalSvg represents the quantity of the commodities corresponding to the g-th commodity grade under the condition that the nth commodity type is sold by the S-th distributor terminal, and different commodity types sold by the distributor terminals are countedThe total number of commodity sales corresponding to different commodity grades under the model
Figure FDA0002571783170000041
Screening T with the maximum total number of commodity salesSAnd will have a maximum of TSThe corresponding distribution client terminal is used as a standard distribution client terminal, and the total number of distributed commodities corresponding to other distribution client terminals is collected with the total number of standard distributed commodities Uxv(uxv1,uxv2,...,uxvg) Comparing to obtain a comparison set U 'of total quantity of distributed commodities'Sv(u′Sv1,u′Sv2,...,u′Svg) 1,2,3, and x ∈ S, u'xvg is expressed as a difference value between the number of g-th commodity grade sales in the v-th commodity type in the S-th distributor client terminal and the number of g-th commodity grade sales in the v-th commodity type in the standard distributor client terminal; meanwhile, the sales quantity corresponding to each commodity grade under the same commodity type is counted to form a distribution commodity type set YS(yS1,yS2,...,ySv)，ySv represents the number of sales commodities corresponding to the v-th commodity type sold by the S-th distribution client terminal, the sales completion proportionality coefficient corresponding to each commodity type is counted according to the distribution commodity type set and the distribution basic commodity grade data set, and the cloud server acquires the sales completion proportionality coefficient corresponding to each commodity type sold by each distribution client terminal
Figure FDA0002571783170000042
Sending the data to a back-end management cloud platform and sending the maximum TSThe corresponding set of the total number of the standard distributed commodities in the distribution client terminal and the set of the total number of the distributed commodities are compared and sent to a back-end management cloud platform; wherein, the calculation formula of the sales completion proportionality coefficient corresponding to each commodity type is
Figure FDA0002571783170000051
v＝1,2,...,v′，
Figure FDA0002571783170000052
Showing a sales completion proportionality coefficient corresponding to a sales volume of a vth commodity type for the S-th distribution client terminal, wherein the larger the sales completion proportionality coefficient is, the larger the quantity of commodities of each commodity grade under the commodity type is shown, v' shows the quantity of the commodity types sold by each distribution client terminal, uSvf denotes the number of commodities corresponding to the f-th commodity level in the v-th commodity type sold by the S-th distributor client terminal, ySv represents the number of sales commodities corresponding to the v-th commodity type sold by the S-th distributor client terminal;
meanwhile, the cloud server receives a first purchased commodity grade set B sent by the platform management moduleLFAnd a second purchased goods grade set CpAccording to the first purchased goods grade set BLFAnd combining the commodity quantity corresponding to each commodity grade corresponding to each purchasing person in the configuration database, counting the number of persons purchasing each commodity grade in each age group by the purchasing person, and constructing an age group set D of the commodity purchasing grade by the number of persons corresponding to the purchased commodity gradeLF(dLF1,dLF2,...,dLFf,...,dLFg)，dLFf represents the number of persons who purchase the f-th commodity grade for the purchasing persons of the LF age group, extracts the gender of the persons corresponding to the purchased commodity grade, and constructs a gender set R of the commodity purchase grade according to the purchasing conditions of the commodities corresponding to the commodity grades under different genders of the purchasing personsp(rp1,rp2,...,rpf,...,rpg) P represents the sex of the purchaser and is 1 or 2, p ═ 1 represents the male purchaser, p ═ 2 represents the female purchaser, r represents the female purchaserpf represents the number of persons who purchase men or women corresponding to the f-th commodity level, and sets D age groups of commodity purchase levelsLFAnd gender set R of merchandise purchase ratingspSending the data to a back-end management cloud platform;
the cloud server sets D according to age groups of commodity purchase gradesLFGender set R of merchandise purchase ratingpStandard total number of distributed commodities set UxvSet U 'is compared to total quantity of commodities distributed'SvAnd combining the sale completion proportionality coefficients corresponding to the commodity types
Figure FDA0002571783170000053
Counting the user comprehensive tendency satisfaction coefficient corresponding to each commodity grade, and enabling the cloud server to calculate the user comprehensive tendency satisfaction coefficient psi corresponding to each commodity grade of each distribution client terminalSfThe calculation formula of the user comprehensive tendency satisfaction degree coefficient is sent to the back-end management cloud platform
Figure FDA0002571783170000061
uSvf denotes the number of commodities corresponding to the f-th commodity grade in the v-th commodity type sold for the S-th distributor client terminal,
Figure FDA0002571783170000062
expressing that the S-th distribution client terminal sells the sales completion proportionality coefficient corresponding to the v-th commodity type, expressing that lambda is a proportionality coefficient factor, the value is less than 1, and dLFf represents the number of persons who purchased the f-th merchandise rate for purchasers in the LF age group, dLFfmaxThe number of purchasers corresponding to the purchase level having the largest number of purchased commodities corresponding to each commodity level in the LF age group,
Figure FDA0002571783170000063
representing the total number of purchasers, r, corresponding to the grades of each commodity purchased for each age grouppf represents the number of persons who purchased men or women corresponding to the f-th commodity level, rpfmaxRepresenting the number of purchasers corresponding to the purchase level with the largest number of purchased commodities corresponding to each commodity level among male or female purchasing users,
Figure FDA0002571783170000064
is expressed as the sum of the number of purchasers, u ', corresponding to the respective product grades of the cumulative purchase of the males and the females'Svf is expressed as a difference value between the quantity of the f-th commodity grade sales in the v-th commodity type in the S-th distributor client terminal and the quantity of the f-th commodity grade sales in the v-th commodity type in the standard distributor client terminal;
the back-end management cloud platform is used for receiving sales completion proportionality coefficients corresponding to various commodity types sold by various distribution client terminals and sent by the cloud server
Figure FDA0002571783170000065
User comprehensive tendency satisfaction coefficient and maximum T corresponding to each commodity grade of each distribution client terminalSA standard distribution commodity total quantity set, a distribution commodity total quantity comparison set and an age group set D of commodity purchase grades in the corresponding distribution client terminalLFAnd gender set R of merchandise purchase ratingspThe backend management cloud platform is according to the maximum TSThe corresponding standard distribution commodity total number set, distribution commodity total number comparison set and distribution completion proportionality coefficient in the distribution client terminal
Figure FDA0002571783170000071
And a user comprehensive tendency satisfaction coefficient psi corresponding to each commodity grade of each distribution client terminalSfCounting the proportional coefficient of each distribution client terminal to the distribution of each commodity grade under the same commodity type
Figure FDA0002571783170000072
ψSfA user comprehensive tendency satisfaction coefficient corresponding to the f-th commodity grade expressed as the S-th distribution client terminal,
Figure FDA0002571783170000073
the sales completion proportionality coefficient u corresponding to the v-th commodity type sold by the S-th distribution client terminal is expressedSvf denotes the number of products u 'corresponding to the f-th product grade in the v-th product type sold by the S-th distribution client terminal'xvf is expressed as the f-th item type in the v-th item type in the S-th distribution client terminalDifference between the number of commodity grade sales and the number of g-th commodity grade sales in the v-th commodity type in the standard distribution client terminal, uxvf is represented by T with the maximum total number of sales of the goodsSThe back-end management cloud platform calculates the quantity W of the delivered commodity grade according to the distribution proportion coefficient of the commodity of each commodity grade of the same commodity type sold by each distribution client terminalSvf＝βuSvf*φSvfβ denotes the distribution scale factor, 1.15;
the back end manages the cloud platform and sets D according to the age groups of the received commodity purchasing gradesLFCounting influence coefficients of age groups in which the distribution client terminals are located on commodity sales, and collecting R according to the received gender of the commodity purchase levelpAnd counting the influence coefficient of the gender on commodity sales in the range of each distribution client terminal.
2. The big-data based e-commerce platform as claimed in claim 1, wherein: the commodity special feature data set is Ai(aik1,aik2,...,aikj,...,aikm), i 1,2,., h, h denotes the type of item type, k denotes the item class for each item type, k 1,2,.., f,.., g, aikj represents the jth commodity feature corresponding to the kth commodity grade under the ith commodity type, and the corresponding weights of different commodity features are gaik1,gaik2,...,gaikj,...,gaiKm, and gaik1+gaik2+...+gaikj+...+gaikm＝1。
3. The big-data based e-commerce platform as claimed in claim 1, wherein: the calculation formula of the influence coefficient of the age group on the commodity sales is
Figure FDA0002571783170000081
dLFf is represented byFor the number of persons purchasing the f-th commodity level by the purchasing persons of the LF age group, thetaLFExpressed as the coefficient of influence of the purchaser of the LF-th age on the sale of the goods.
4. The big-data based e-commerce platform as claimed in claim 1, wherein: the influence coefficient of the gender on the commodity sales is calculated by the formula
Figure FDA0002571783170000082
rpf is the number of persons who purchased the male or female corresponding to the f-th commodity level, τpExpressed as the coefficient of influence of a male or female purchaser on the sale of goods.
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