CN108665305B

CN108665305B - Method and system for intelligently analyzing store information

Info

Publication number: CN108665305B
Application number: CN201810420295.6A
Authority: CN
Inventors: 卢森荣
Original assignee: Shuibei Culture Media Shenzhen co Ltd
Current assignee: Shuibei Culture Media Shenzhen co Ltd
Priority date: 2018-05-04
Filing date: 2018-05-04
Publication date: 2022-07-05
Anticipated expiration: 2038-05-04
Also published as: CN108665305A

Abstract

The invention relates to a method and a system for intelligently analyzing store information, wherein the method comprises the steps of acquiring mobile terminal information in a set range of a store; obtaining the attention of products in stores; counting and analyzing according to the mobile terminal information and the product attention degree to form an analysis result; and performing store arrangement and management according to the analysis result. The invention acquires the store entering rate of stores by capturing the number and MAC addresses of the mobile terminals, acquires the product attention of the stores from the sensors embedded in the labels of the products, acquires the product attention of the products which are only watched but not picked up by combining the products with the position and orientation of the mobile terminals, performs statistics and analysis, performs store management according to import analysis, mobile terminal information and product attention analysis, has high intelligent degree and high data analysis and statistical accuracy, gives timely early warning to unqualified stores, and gives the optimal window arrangement mode and store entering port arrangement scheme of the stores so as to improve the sales volume of the stores.

Description

Method and system for intelligently analyzing store information

Technical Field

The invention relates to a data analysis method, in particular to a method and a system for intelligently analyzing store information.

Background

The business surpasses, stores, coffee houses and other public places often need accurate product marketing, and the products that the customer is interested in are pushed according to the hobby, age, sex and the like of the user to bring extra profit growth points for the business. The existing store marketing mode is to put a conspicuous and mainly pushed product on a window of a store, or introduce a product to the store by a salesperson after a customer enters the store, but both marketing modes are unidirectional, a store manager cannot accurately know which products are hot-sold products, and which position of the store is the place most concerned by the customer, and the store manager can only judge the qualification rate of sales of the store according to artificial counting, the sales volume of the day and the sales style, and cannot dig the potential sales capacity of the store, namely cannot know the entering rate and the attention rate of the store, so that the problems of inaccurate analysis of the store and reduction of the sales volume are easily caused.

Therefore, it is necessary to design a store information analysis method, which analyzes the attention of the customers and products in the store, obtains the store-entering rate, gives timely warning to the unqualified store, and gives the store the best show window arrangement mode and store-entering port arrangement scheme, so as to improve the sales volume of the store.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provides a method and a system for intelligently analyzing store information.

In order to achieve the purpose, the invention adopts the following technical scheme: a method for intelligent analysis of store information, the method comprising:

acquiring mobile terminal information within a set range of a store;

obtaining the attention of products in stores;

counting and analyzing according to the mobile terminal information and the product attention degree to form an analysis result;

and performing store arrangement and management according to the analysis result.

The further technical scheme is as follows: the method for acquiring the mobile terminal information in the store setting range comprises the following specific steps:

acquiring the number of mobile terminals and the MAC address of each mobile terminal in a set range of a store;

acquiring a position corresponding to the mobile terminal according to the MAC address of the mobile terminal;

and matching the MAC address, the number and the corresponding position of the mobile terminal one by one to form mobile terminal information.

The further technical scheme is as follows: the method for acquiring the attention of the products in the store comprises the following specific steps:

acquiring the moving times, types and positions of moved products;

acquiring the pointing times, types and positions of products pointed by corresponding positions of mobile terminals inside and outside a store;

and integrating the moving times, types and positions of the moved products and the pointing times, types and positions pointed by the corresponding positions of the mobile terminals outside the stores to form the attention of the products.

The further technical scheme is as follows: the step of forming an analysis result by carrying out statistics and analysis according to the mobile terminal information and the product attention degree comprises the following specific steps:

counting the number of mobile terminals positioned in a store according to the mobile terminal information and acquiring the store entering rate;

acquiring hot-selling products according to the attention of the products;

acquiring the population mobility rate of an import according to the mobile terminal information to acquire a hot import;

and (4) integrating the hot-sold products, the store entering rate and the hot import to form an analysis result.

The further technical scheme is as follows: the steps of shop arrangement and management according to the analysis result comprise the following specific steps:

placing a hot-sell product in a store conspicuous location;

the hot door inlet is subjected to product placement and rectification;

acquiring the qualification rate of stores according to the store-entering rate;

judging whether the qualified rate meets a set condition;

if not, early warning is carried out, and an adjustment and modification scheme is sent;

if so, the yield is sent.

The invention also provides a system for intelligently analyzing the store information, which comprises an information acquisition unit, an attention degree acquisition unit, a result forming unit and a store processing unit;

the information acquisition unit is used for acquiring the information of the mobile terminal in the set range of the store;

the attention obtaining unit is used for obtaining the attention of products in stores;

the result forming unit is used for carrying out statistics and analysis according to the mobile terminal information and the product attention degree to form an analysis result;

and the store processing unit is used for performing store arrangement and management according to the analysis result.

The further technical scheme is as follows: the information acquisition unit comprises an address acquisition module, a position acquisition module and a matching module;

the address acquisition module is used for acquiring the number of the mobile terminals in the set range of the store and the MAC address of each mobile terminal;

the position acquisition module is used for acquiring the position corresponding to the mobile terminal according to the MAC address of the mobile terminal;

and the matching module is used for matching the MAC addresses, the number and the corresponding positions of the mobile terminals one by one to form mobile terminal information.

The further technical scheme is as follows: the attention degree acquisition unit comprises a mobile position acquisition module, a pointing position acquisition module and a comprehensive module;

the mobile position acquisition module is used for acquiring the moving times, types and positions of the moved products;

the pointing position acquisition module is used for acquiring pointing times, types and positions of products pointed by corresponding positions of the mobile terminals inside and outside the store;

the integration module is used for integrating the moving times, types and positions of the moved products and the pointing times, types and positions pointed by the corresponding positions of the mobile terminals outside the stores to form the attention of the products.

The further technical scheme is as follows: the result forming unit comprises a store entering rate acquisition module, a hot sale product acquisition module, a hot door import acquisition module and a result synthesis module;

the store-entering rate acquisition module is used for counting the number of mobile terminals positioned in stores according to the mobile terminal information and acquiring the store-entering rate;

the hot-selling product obtaining module is used for obtaining hot-selling products according to the product attention;

the hot inlet acquisition module is used for acquiring the population flow rate of the inlet according to the mobile terminal information and acquiring the hot inlet;

and the result integration module is used for integrating the hot-sold products, the store entering rate and the hot import formation analysis results.

The further technical scheme is as follows: the store processing unit comprises a product placing module, a product rectification module, a qualification rate obtaining module, a judging module, an early warning module and a sending module;

the product placement module is used for placing hot-selling products at a conspicuous position of a store;

the product rectification module is used for rectifying the placement of the products at the hot door inlet;

the qualification rate obtaining module is used for obtaining the qualification rate of stores according to the store entering rate;

the judging module is used for judging whether the qualification rate meets the set conditions;

the early warning module is used for early warning and sending an adjusting and modifying scheme if the current situation is not met;

and the sending module is used for sending the qualification rate if the qualified rate is greater than the preset qualification rate.

Compared with the prior art, the invention has the beneficial effects that: the method for intelligently analyzing the store information acquires the store entering rate of the store by capturing the number and the MAC address of the mobile terminals, acquires the product attention of the store from a sensor embedded in a label of the product, acquires the product attention of the product which is only watched but not taken up by combining the product in the position orientation of the mobile terminal, performs statistics and analysis, analyzes an import, performs store management according to the analysis of the import, the information of the mobile terminals and the product attention, has high intelligent degree and high data analysis and statistical accuracy, realizes the analysis of the attention of customers and various products of the store, acquires the store entering rate, gives timely early warning to unqualified stores, and gives the optimal show window arrangement mode and store entering port arrangement scheme of the store to improve the sales volume of the store.

The invention is further described below with reference to the figures and the specific embodiments.

Drawings

FIG. 1 is a flow chart of a method for intelligent analysis of store information according to an embodiment of the present invention;

fig. 2 is a flowchart for acquiring information of a mobile terminal within a store setting range according to an embodiment of the present invention;

FIG. 3 is a flowchart for obtaining interest in products in a store according to an embodiment of the present invention;

fig. 4 is a flowchart of statistics and analysis according to mobile terminal information and product attention according to an embodiment of the present invention;

FIG. 5 is a flow chart of store placement and management based on analysis results according to an exemplary embodiment of the present invention;

FIG. 6 is a block diagram of a system for intelligent analysis of store information according to an embodiment of the present invention;

fig. 7 is a block diagram of an information obtaining unit according to an embodiment of the present invention;

fig. 8 is a block diagram of a structure of a attention obtaining unit according to an embodiment of the present invention;

FIG. 9 is a block diagram of a result formation unit according to an embodiment of the present invention;

fig. 10 is a block diagram of a store processing unit according to an embodiment of the present invention.

Detailed Description

In order to more fully understand the technical content of the present invention, the technical solution of the present invention will be further described and illustrated with reference to the following specific embodiments, but not limited thereto.

As shown in the specific embodiments of fig. 1 to 10, the method for intelligently analyzing store information provided in this embodiment can be applied to jewelry stores, coffee shop stores, and other commodity sales stores, and can analyze the attention of customers and products in the stores, obtain the store entry rate, give timely warning to unqualified stores, and give the stores the best show window placement mode and store entry layout scheme, so as to increase the sales volume of the stores.

As shown in fig. 1, the present embodiment provides a method for intelligent analysis of store information, the method including:

s1, obtaining the mobile terminal information in the shop setting range;

s2, obtaining the attention of products in stores;

s3, carrying out statistics and analysis according to the mobile terminal information and the product attention degree to form an analysis result;

and S4, performing store arrangement and management according to the analysis result.

For the step S1, probes and cameras are arranged in and outside the store, and the probes are used to transmit signals, and after the mobile terminal meets the signals, a signal is fed back, but no connection is established between the mobile terminal and the probes.

As shown in fig. 2, the step of obtaining the mobile terminal information within the store setting range in step S1 includes the following specific steps:

s11, acquiring the number of mobile terminals in the set range of the store and the MAC address of each mobile terminal;

s12, acquiring the corresponding position of the mobile terminal according to the MAC address of the mobile terminal;

and S13, matching the MAC addresses, the number and the corresponding positions of the mobile terminals one by one to form mobile terminal information.

For the step S11, a range allowing the store to search for the mobile terminal is set first, for example, a radiation range is formed in a range with a center point of the store as a center and a radius of 10m, so as to obtain the number of the mobile terminals and the MAC address; the MAC address is a unique identification code of the mobile terminal, and if the customer does not write the mobile terminal, data acquisition is carried out in a camera mode.

For the step S12, the location corresponding to the mobile terminal is obtained according to the MAC address of the mobile terminal, specifically, to obtain the point of interest of the customer on the store product, such as the product displayed outside the store while looking at the window or the product inside the store while entering the store.

In another embodiment, after the step of obtaining the location corresponding to the mobile terminal according to the MAC address of the mobile terminal in the step of S12, the method further includes:

and eliminating the MAC address of the mobile terminal which does not meet the condition.

Specifically, when the mobile terminal does not stay within the radiation range for more than a set time, such as 20 seconds, the carrier of the mobile terminal is considered as a passerby and is not a person who stays and pays attention to the products of the local store, and the mobile terminal which does not meet the requirements is removed, so that the accuracy of subsequent analysis is improved.

Further, as shown in fig. 3, the step of obtaining the attention of the products in the store in relation to the step of S2 includes the following specific steps:

s21, acquiring the moving times, types and positions of the moved products;

s22, acquiring the pointing times, types and positions of products pointed by the corresponding positions of the mobile terminals inside and outside the store;

and S23, integrating the moving times, types and positions of the moved products and the pointing times, types and positions pointed by the corresponding positions of the mobile terminals outside the stores to form the attention degrees of the products.

For the step S21, a gravity sensor or a micro pressure sensor is specifically installed on all products in the store, and the sensor is embedded in the label of the product, so as to form a non-sensory effect. When a product is taken away and a customer watches the product, if the micro pressure sensor is selected to be installed, the label needs to be pressed, in fact, the micro pressure sensor receives a signal in the taking away process, the label does not need to be pressed deliberately, and certainly, in order to ensure that the micro pressure sensor receives the signal accurately, the label needs to be pressed to be used as a mark for the product to be taken away and watched; if the gravity sensor is installed, the label does not need to be pressed deliberately, the gravity sensor reports the position information of the product in real time, the position information reported last is compared with the current position information, when the position information reported last is inconsistent with the current position information, the product is considered to be moved, and when the product is moved, the registration is added once in a column of times of the product.

In the server, each sensor needs to be labeled, and the type and the placing position of the product on which the sensor is installed are registered to form one-to-one corresponding information, so that the type and the position of the moved product can be acquired subsequently.

In another embodiment, in the step S21, a shelf for placing products may be disposed in the counter, and a wireless charging circuit is disposed on the shelf, where the wireless charging circuit includes a control chip, a wireless charging module, and a timing module; the product label is provided with a micro sensor, when the product is placed on a shelf corresponding to the counter, the wireless charging module charges the micro sensor, when the product is taken up, the wireless charging module is disconnected with the micro sensor, the control chip drives the timing module to start timing until the product is placed back to the original position, at the moment, the time and the times of taking the product out of the counter can be recorded, and the attention of the product is refracted; in addition, a human body contact sensor can be arranged on the label and used for detecting whether the product is worn or not and the like, so that the attention of the product can be acquired accurately.

For the step S22, the product types and positions in the shop window that the mobile terminal faces are preliminarily determined according to the positions of the mobile terminal inside and outside the shop, and when there is more than one product type in the shop window that the mobile terminal faces, the image corresponding to the mobile terminal is captured by the camera to perform face recognition and image analysis, so as to obtain the product types and positions that the mobile terminal faces, and further to make the subsequent analysis more accurate. Each time a product is pointed to once, an additional time is registered in the times column for that product.

The above-mentioned steps S21 and S22 are specifically to register and acquire the number of times of movement of the moved product and the number of times of pointing of the product pointed by the corresponding position of the mobile terminal inside or outside the store, so as to form the attention of the product.

In another embodiment, after the step of obtaining the product type and the location pointed by the corresponding location of the mobile terminal inside and outside the store in the step of S22, the method further includes:

when the moved product is consistent with the product pointed by the corresponding position of the mobile terminal inside and outside the shop in the same time period, the product is registered only once.

The steps are convenient for repeated registration, and the phenomena of inaccurate registration and inaccurate analysis are avoided.

As shown in fig. 4, the step S3 of performing statistics and analysis according to the mobile terminal information and the product attention to form an analysis result includes the following specific steps:

s31, counting the number of mobile terminals in the store according to the mobile terminal information and acquiring the store entering rate;

s32, acquiring hot-market products according to the attention of the products;

s33, acquiring the population flow rate of the import according to the mobile terminal information to acquire the hot import;

and S34, synthesizing hot sales products, entering store rate and hot import forming analysis results.

For the step S31, specifically, the store entry rate is formed by dividing the number of mobile terminals in the store by the total number of mobile terminals in the store and outside the store, and the store entry rate is compared with the store entry rate of the store in the same industry or with the store entry rate of other stores in the same product in the same area to form the internal analysis data or the area analysis data, so as to facilitate the later development of the area and the development of the industry to play a role in basic analysis.

In the step S32, the registered products are sorted from high to low, and the product with the highest frequency is obtained as the hot-sold product.

For the step S33, a sensor is installed at the entrance, when a person enters the store through the entrance, the number of times corresponding to the entrance is registered and is increased by one, and the entrance with the highest number of times is selected as the hot entrance, so that the hot-sell product can be placed at the position of the hot entrance.

Further, as shown in fig. 5, for the step of S4, the step of performing store arrangement and management according to the analysis result includes the following specific steps:

s41, placing the hot-sold product at a store conspicuous position;

s42, carrying out product placement and modification on the hot door inlet;

s43, acquiring the qualification rate of stores according to the store-entering rate;

s44, judging whether the qualification rate meets the set conditions;

s45, if not, carrying out early warning and sending an adjusting and modifying scheme;

and S46, if yes, sending the qualified rate.

For the above step S41, the hot sales products are preferably placed on the window of the hot door entrance and the counter around the hot door entrance, which helps to increase the sales and promotion of the store.

For the above step S42, preferably, the products are placed on the counter starting from the hot entrance according to the number of times of the products, that is, the products with higher number of times are placed on the counter closer to the hot entrance, and the products with lower number of times are placed on the counter farther from the hot entrance.

For the steps S43 to S46, the store entering rate is specifically compared with a standard value of a store in the same industry, a ratio of the store entering rate to the standard value of the store in the same industry is obtained, a qualification rate is formed, when the qualification rate is lower than a set value (for example, the set qualification rate on the same day is 60%), the store is considered to be unqualified and needs to be modified, further measures for removing products, import positions and placement positions of the products from the window of the store are removed, the number of people entering and leaving the store is analyzed, the reason for the unqualified store is analyzed, a targeted removal scheme is adopted, for example, the a store is unqualified, the types, import positions and placement positions of the products of the window are respectively detected, the products placed in the window are hot-sold products, the import positions are not the positions where the customers can enter the store most conveniently and the number of people is the most, and the placement positions of the products are: and (3) placing the hot-sold product at a position away from the customer and having the most attention, and sending the following rectification scheme: the hot selling products are B products, the hot selling products B are placed in the show window according to the times of the products, the products are placed at positions which are radiated outwards along the center in the sequence from high to low by taking the position where the customer pays attention to the most, and the position of an entrance is arranged at the position where the customer enters a store most conveniently and the number of people is the most.

In another embodiment, the method further comprises:

and setting different data viewing permissions of store managers.

The permission is looked over in the setting, is favorable to guaranteeing the security of the data analysis of each store and the management of being convenient for, can also set up the managers and look over the content to the data and put on one's head, and the practicality is strong from person to person.

In addition, in another embodiment, the method further includes:

and acquiring the information of the consumer, and recommending the online products according to the information of the consumer.

According to the acquisition and analysis of the data from the step S1 to the step S3, the products consumed by each consumer at present are marked, and when the corresponding products appear, the products on the internet can be recommended, so that the promotion strength of stores is increased.

For example, in a jewelry store in a certain market, the number of detected mobile terminals is 510 in a day, the number of mobile terminals which just pass is removed by 10, and the number of the mobile terminals entering the store is 300, the store entering rate of the store is 300/(510-10) to 60%, the moved products are mostly pearl bracelet of A style, the hot door import is imported A, the product arrangement and import modification can be carried out on the store according to the information, for example, hot sell products are arranged on a counter and a show window close to the imported A, the products with gradually reduced times are arranged in sequence along the direction far away from the imported A, and adding one more inlet at the position of the A inlet, comparing the store entering rate with the store entering rate of the store in the same industry and the store entering rate of the store in the same area, storing the comparison result as reference data in a database, and playing a reference role in later-stage store opening of the store in the same industry and store opening of the store in the same area.

The method for intelligently analyzing the store information acquires the store entering rate of the store by capturing the number and the MAC address of the mobile terminals, acquires the product attention of the store from a sensor embedded in a label of the product, acquires the product attention of the product which is only watched but not picked up in combination with the product in the position orientation of the mobile terminal, performs statistics and analysis, analyzes import, performs store management according to the analysis of the import, the information of the mobile terminals and the product attention, has high intelligence degree and high data analysis and statistical accuracy, realizes the analysis of the attention of customers and various products of the store, acquires the store entering rate, gives timely early warning to unqualified stores, and gives the optimal show window arrangement mode and store entering port arrangement scheme of the store so as to improve the sales volume of the store.

As shown in fig. 6, the present embodiment also provides a system for intelligent analysis of store information, which includes an information acquisition unit 1, a degree-of-attention acquisition unit 2, a result formation unit 3, and a store processing unit 4.

The information acquisition unit 1 is used for acquiring the mobile terminal information in the store setting range. The method comprises the steps that probes and cameras are arranged in and out of a store, the probes are used for sending signals, after the mobile terminal meets the signals, a signal can be fed back, and connection between the mobile terminal and the probes is not established.

The attention degree acquiring unit 2 is used for acquiring the attention degree of products in the store.

And the result forming unit 3 is used for carrying out statistics and analysis according to the mobile terminal information and the product attention degree to form an analysis result.

And the store processing unit 4 is used for performing store arrangement and management according to the analysis result.

As shown in fig. 7, the information acquiring unit 1 further includes an address acquiring module 11, a position acquiring module 12, and a matching module 13.

And the address acquisition module 11 is configured to acquire the number of mobile terminals in the store setting range and the MAC address of each mobile terminal. Firstly, setting a range of a store allowing to search the mobile terminal, for example, forming a radiation range in a range with the center point of the store as the center and the radius of the radiation range as 10m to obtain the number and MAC addresses of the mobile terminal; the MAC address is a unique identification code of the mobile terminal, and if the customer does not write the mobile terminal, data acquisition is carried out in a camera mode.

And a location obtaining module 12, configured to obtain a location corresponding to the mobile terminal according to the MAC address of the mobile terminal. The position corresponding to the mobile terminal is obtained according to the MAC address of the mobile terminal, and particularly, the position is used for obtaining the attention point of a customer to a store product, such as a product displayed by looking at a show window outside the store or a product which enters the store to watch the inside.

And the matching module 13 is configured to match the MAC addresses, the number, and the corresponding positions of the mobile terminals one by one to form mobile terminal information.

In another embodiment, the information obtaining unit 1 further includes a removing module, where the removing module is configured to remove the MAC address of the mobile terminal that does not satisfy the condition.

Further, the attention degree acquiring unit 2 includes a moving position acquiring module 21, a pointing position acquiring module 22, and an integrating module 23.

And a moving position acquiring module 21 for acquiring the moving times, kinds and positions of the moved products. Particularly, gravity sensors or miniature pressure sensors are installed on all products in stores, and the sensors are embedded in labels of the products to form a non-inductive effect. When a product is taken away and a customer watches the product, if the micro pressure sensor is selected to be installed, the label needs to be pressed, in fact, the micro pressure sensor receives a signal in the taking away process, the label does not need to be pressed deliberately, and certainly, in order to ensure that the micro pressure sensor receives the signal accurately, the label needs to be pressed to be used as a mark for the product to be taken away and watched; if the gravity sensor is installed, the label does not need to be pressed deliberately, the gravity sensor reports the position information of the product in real time, the position information reported last is compared with the current position information, when the position information reported last is inconsistent with the current position information, the product is considered to be moved, and the registration is added once in a column of times of the product every time the product is moved.

In other embodiments, the mobile position obtaining module 21 may also be a shelf for placing products in a counter, and a wireless charging circuit is disposed on the shelf, and the wireless charging circuit includes a control chip, a wireless charging module, and a timing module; the product label is provided with a micro sensor, when the product is placed on a shelf corresponding to the counter, the wireless charging module charges the micro sensor, when the product is taken up, the wireless charging module is disconnected with the micro sensor, the control chip drives the timing module to start timing until the product is placed back to the original position, at the moment, the time and the times of taking the product out of the counter can be recorded, and the attention of the product is refracted; in addition, a human body contact sensor can be arranged on the label and used for detecting whether the product is worn or not and the like, so that the attention of the product can be acquired accurately.

The pointing position obtaining module 22 is configured to obtain pointing times, types, and positions of products pointed by positions corresponding to the mobile terminals inside and outside the store. The method comprises the steps that the product types and the positions in a shop window where the mobile terminal faces are preliminarily judged according to the positions of the mobile terminal inside and outside the shop, when the product types of the shop window where the mobile terminal faces are more than one, the image of the corresponding mobile terminal is captured by combining a camera, face recognition and image analysis are carried out, the product types and the positions where the mobile terminal faces are obtained, and therefore follow-up analysis is more accurate. Each time a product is pointed to once, an additional time is registered in the times column for that product.

The integration module 23 is configured to integrate the moving times, types, and locations of the moved products and the pointing times, types, and locations pointed by the corresponding locations of the mobile terminals outside the stores to form the product attention.

The number of times of movement of the moved product and the number of times of pointing of the product pointed by the corresponding position of the mobile terminal inside and outside the store are registered and acquired, and the attention of the product is formed by the number of times.

In addition, when the moved product is identical to the product pointed by the corresponding position of the mobile terminal inside and outside the shop in the same time period, the product is registered only once. The method is convenient for repeated registration and avoids the phenomena of inaccurate registration and inaccurate analysis.

Further, the result formation unit 3 includes a store-in rate acquisition module 31, a hot-sold product acquisition module 32, a hot-door entrance acquisition module 33, and a result integration module 34.

And the store-entering rate acquiring module 31 is configured to count the number of mobile terminals located in a store according to the mobile terminal information and acquire a store-entering rate. The method specifically comprises the steps that the number of the mobile terminals in the store is divided by the total number of the mobile terminals in the store and outside the store to form a store entering rate, and the store entering rate is compared with the store entering rate of the stores in the same industry or the store entering rate of other stores in the same area and the same products to form internal analysis data or regional analysis data, so that the method plays a role in basic analysis on the development of the region and the development of the industry in the later period.

And the hot-selling product acquiring module 32 is used for acquiring the hot-selling products according to the product attention. And sequencing the registered product times from high to low, and acquiring the product with the highest time as a hot-selling product.

And the hot inlet acquiring module 33 is configured to acquire the population flow rate of the inlet according to the mobile terminal information, and acquire the hot inlet. And installing a sensor at the inlet, when a person enters the store through the inlet, registering the corresponding times of the inlet and adding one, selecting the inlet with the highest times as a hot door inlet, and placing a hot pin product at the position of the hot door inlet.

And a result integrating module 34 for integrating the analysis results of hot-sold products, store-in rate and hot-door import formation.

In addition, the store processing unit 4 includes a product placement module 41, a product rectification module 42, a yield acquisition module 43, a judgment module 44, an early warning module 45, and a transmission module 46.

And a product placement module 41 for placing hot-market products in a store conspicuous location. Preferably, hot sales products are placed in the show window of the hot door entrance and on the counter around the hot door entrance, which helps to increase sales and promotion of the store.

And the product rectification module 42 is used for rectifying the placement of the products at the hot door inlet. Preferably, the products are placed on the counter starting from the hot door entrance according to the times of the products, that is, the products with higher times are placed on the counter closer to the hot door entrance, and the products with lower times are placed on the counter farther from the hot door entrance.

And the qualification rate obtaining module 43 is used for obtaining the qualification rate of the store according to the store-entering rate.

And the judging module 44 is used for judging whether the qualification rate meets the set conditions.

And the early warning module 45 is used for early warning and sending the rectification scheme if the current situation is not the same.

And a sending module 46, configured to send the qualification rate if yes.

Specifically, the store entering rate is compared with a standard value of a store in the same industry to obtain a ratio of the store entering rate to the standard value of the store in the same industry, so that a qualified rate is formed, when the qualified rate is lower than a set value (for example, the set qualified rate in the same day is 60%), the store is considered to be unqualified and needs to be rectified, measures for placing products, import positions and placing positions of the products in a window of the store are eliminated, the number of people entering and leaving the store is analyzed, the unqualified reasons of the store are analyzed, a targeted elimination scheme is adopted, for example, the store A is unqualified, the types, the import positions and the placing positions of the products of the window products are respectively detected, the products placed in the window are obtained as hot-sold products, the import position is not the position where a customer enters the store most conveniently and the number of people is the most, and the placing positions of the products are: and (3) placing the hot-sold product at a position away from the customer and having the most attention, and sending the following rectification scheme: the hot selling products are B products, the hot selling products B are placed in the show window according to the times of the products, the products are placed at positions which are radiated outwards along the center in the sequence from high to low by taking the position where the customer pays attention to the most, and the position of an entrance is arranged at the position where the customer enters a store most conveniently and the number of people is the most.

In another embodiment, the system further includes an authority setting unit, configured to set different data viewing authorities of store managers.

In addition, in other embodiments, the system further includes a recommending unit for acquiring information of the consumer and recommending the online product according to the information of the consumer.

Products consumed by each consumer at present are marked, and when activities of corresponding products appear, the products on the internet can be recommended, so that the propaganda strength of stores is increased.

The system for intelligently analyzing the store information acquires the store entering rate of the store by capturing the number and the MAC address of the mobile terminals, acquires the product attention of the store from the sensors embedded in the labels of the products, acquires the product attention of the products which are only watched but not picked up by combining the products with the position orientation of the mobile terminals, performs statistics and analysis, analyzes imports, performs store management according to the import analysis, the information of the mobile terminals and the product attention, has high intelligence degree and high data analysis and statistical accuracy, realizes the analysis of the attention of the customers and the products of the store, acquires the store entering rate, gives timely early warning to unqualified stores, and gives the optimal show window arrangement mode and store entering port arrangement scheme of the store so as to improve the sales volume of the store.

The technical contents of the present invention are further illustrated by the examples only for the convenience of the reader, but the embodiments of the present invention are not limited thereto, and any technical extension or re-creation based on the present invention is protected by the present invention. The protection scope of the invention is subject to the claims.

Claims

1. A method for intelligent analysis of store information, the method comprising:

acquiring mobile terminal information within a set range of a store;

obtaining the attention of products in stores;

according to the analysis result, performing store arrangement and management;

the method for acquiring the attention of the products in the store comprises the following specific steps:

acquiring the moving times, types and positions of moved products;

integrating the moving times, types and positions of the moved products and the pointing times, types and positions of the products pointed by the corresponding positions of the mobile terminals outside the stores to form product attention;

particularly, gravity sensors or miniature pressure sensors are arranged on all products in a store, and the sensors are embedded in labels of the products; when a product is taken away and a customer watches the product, if the micro pressure sensor is selected to be installed, the label needs to be pressed; if the gravity sensor is installed, the label does not need to be pressed intentionally, the gravity sensor reports the position information of the product in real time, the position information reported last is compared with the current position information, when the position information reported last is inconsistent with the current position information, the product is considered to be moved, and when the product is moved, the registration is added once in a column of times of the product; when the moved product is consistent with the product pointed by the corresponding positions of the mobile terminals inside and outside the shop in the same time period, the frequency of the product is registered only once; a shelf for placing products is arranged in the counter, and a wireless charging circuit is arranged on the shelf and comprises a control chip, a wireless charging module and a timing module; the product label is provided with a micro sensor, when the product is placed on a shelf corresponding to the counter, the wireless charging module charges the micro sensor, when the product is taken up, the wireless charging module is disconnected with the micro sensor, the control chip drives the timing module to start timing until the product is placed back to the original position, at the moment, the time and the times of taking the product out of the counter are recorded, and the attention of the product is refracted; in addition, a human body contact sensor is arranged on the label and used for detecting whether the product is worn or not.

2. The method for intelligently analyzing store information according to claim 1, wherein the step of obtaining the mobile terminal information within the set range of the store comprises the following specific steps:

acquiring the number of mobile terminals and the MAC address of each mobile terminal in a store setting range;

3. The method for intelligently analyzing the store information according to claim 1, wherein the step of performing statistics and analysis according to the mobile terminal information and the attention degree of the product to form an analysis result comprises the following specific steps:

acquiring hot-selling products according to the attention of the products;

4. The method for intelligent analysis of store information according to claim 3, wherein the step of store arrangement and management according to the analysis result comprises the following specific steps:

placing a hot-sell product in a store conspicuous location;

the hot door inlet is subjected to product placement and rectification;

judging whether the qualified rate meets a set condition;

if so, the yield is sent.

5. The system for intelligently analyzing the store information is characterized by comprising an information acquisition unit, an attention degree acquisition unit, a result forming unit and a store processing unit;

the store processing unit is used for performing store arrangement and management according to the analysis result;

the attention degree acquisition unit comprises a mobile position acquisition module, a pointing position acquisition module and a comprehensive module;

the comprehensive module is used for synthesizing the moving times, types and positions of the moved products and the pointing times, types and positions pointed by the corresponding positions of the mobile terminals outside the stores to form product attention;

when the moved product is consistent with the product pointed by the corresponding positions of the mobile terminals inside and outside the shop in the same time period, the frequency of the product is registered only once;

a shelf for placing products is arranged in the counter, and a wireless charging circuit is arranged on the shelf and comprises a control chip, a wireless charging module and a timing module; the product label is provided with a micro sensor, when the product is placed on a shelf corresponding to the counter, the wireless charging module charges the micro sensor, when the product is taken up, the wireless charging module is disconnected with the micro sensor, the control chip drives the timing module to start timing until the product is placed back to the original position, at the moment, the time and the times of taking the product out of the counter are recorded, and the attention of the product is refracted; in addition, a human body contact sensor is arranged on the label and used for detecting whether the product is worn or not.

6. The system for intelligent analysis of store information according to claim 5, wherein the information acquisition unit comprises an address acquisition module, a location acquisition module, and a matching module;

7. The system for intelligent analysis of store information according to claim 5, wherein the result formation unit comprises a store-entering rate acquisition module, a hot-sold product acquisition module, a hot-imported acquisition module, and a result integration module;

8. The system for intelligent analysis of store information according to claim 7, wherein the store processing unit comprises a product placement module, a product rectification module, a qualification rate acquisition module, a judgment module, an early warning module, and a sending module;

the product placing module is used for placing hot-sold products at a store conspicuous position;