CN105184975A - Management system and management method for vending machine - Google Patents
Management system and management method for vending machine Download PDFInfo
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- CN105184975A CN105184975A CN201510663084.1A CN201510663084A CN105184975A CN 105184975 A CN105184975 A CN 105184975A CN 201510663084 A CN201510663084 A CN 201510663084A CN 105184975 A CN105184975 A CN 105184975A
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Abstract
The invention discloses a management system and a management method for a vending machine. The management system and the management method are characterized in that: when the vending machine sells goods, a person image is obtained at the same time; attribute information including gender, age, identity or degree of satisfaction is confirmed based on the obtained person image; corresponding statistical information is generated based on the attribute information and information of the sold goods; optimization information of goods distribution or device parameters of each vending machine is obtained based on the analysis of the statistical information, so as to achieve precise management for the vending machine and improve the user experience.
Description
Technical field
The present invention relates to Internet technology and large data analysis technique, be specifically related to a kind of automatic vending machine management system and management method.
Background technology
Automatic vending machine (VendingMachine, VEM) is a kind of commercial distribution equipment of robotization, its can under unattended state Automatic-selling goods collecting money.It is not by the restriction in time, place, can save manpower, convenient transaction, be widely used in business and public place.
Existing most of automatic vending machine normally works alone, and regularly carries out the recovery supplementing and sell payment for goods of goods by the Replenishment Associate of responsible tour.The existing automatic vending machine of part has data unload function, or can upload sales data by internet and replenishes in time to instruct Replenishment Associate by USB (universal serial bus) downloading sales data.
But existing automatic vending-machine controlling system only can replenish according to the quantity of sale of goods, accurately cannot obtain the preferred mode of commodity configuration, Consumer's Experience cannot be promoted further.
Summary of the invention
In view of this, the present invention proposes a kind of automatic vending-machine controlling system and control method, sales figure based on multiple automatic vending machine obtains statistical information, and the merchandise classification of further each automatic vending machine of analysis optimization, product locations and inner parameter, realize the precise management for automatic vending machine, promote Consumer's Experience.
First aspect, the embodiment of the present invention provides a kind of automatic vending machine management system, comprises multiple stage automatic vending machine and management server, and described automatic vending machine is connected with described management server by network, wherein:
Described automatic vending machine is used for Automatic-selling commodity and obtains the character image of front personage simultaneously, after having sold, upload sales figure to described management server at every turn, wherein, described sales figure comprises the attribute information of described automatic vending machine, the merchandise news of institute's merchandising and the corresponding described character image obtained;
Described management server is used for obtaining first personage's attribute according to the character image in described marketing information, the first statistical information is obtained based on the attribute information of described first personage's attribute corresponding to all sales figures, described automatic vending machine and described merchandise news, and obtain Optimizing Suggestions information according to described first statistical information, send described first Optimizing Suggestions information to predesignated subscriber's terminal;
Wherein, the attribute information of described automatic vending machine comprises the mark of described automatic vending machine, and described first Optimizing Suggestions information is for optimizing the commodity configuration of automatic vending machine.
Preferably, described management server is used for described first statistical information for sample obtains Sales Volume Prediction Model by machine learning algorithm training, and with the Sex distribution of the position attribution information of each described automatic vending machine, history client and age distribution for input, to maximize the merchandise sales amount of money or sales volume for optimization aim, obtain described first Optimizing Suggestions information according to described Sales Volume Prediction Model;
Wherein, first state Optimizing Suggestions information be every platform automatic vending machine merchandise classification configuration suggestion, described the first object image attribute is the sex and age of personage, described merchandise news comprises merchandise classification, the attribute information of described automatic vending machine comprises the position attribution information of described automatic vending machine, described optimal prediction model is with the Sex distribution of the position attribution information of automatic vending machine, client and age distribution for input, with the forecast model of the prediction sales volume of different classes of commodity for exporting.
Preferably, described management server is used for obtaining second personage's attribute according to the character image in described sales figure, the described second personage attribute corresponding based on sales figure and product locations acquisition of information second statistical information, to state the second statistical information for sample is by machine learning algorithm training acquisition satisfaction degree estimation model, and with the merchandise classification in the commodity of every platform automatic vending machine configuration suggestion for input, to maximize satisfaction for target, obtain the second Optimizing Suggestions information by described satisfaction degree estimation model;
Wherein, described second Optimizing Suggestions information is the product locations suggestion of corresponding automatic vending machine, described second character image attribute is the expression satisfaction mark of personage, described merchandise news comprises type of merchandize and product locations, described optimal prediction model is with merchandise classification and product locations for input, with the forecast model of the predicted value of client's average satisfaction for exporting.
Preferably, described management server is used for described first statistical information for sample obtains satisfaction degree estimation model by machine learning algorithm training, and the merchandise classification configured with every platform automatic vending machine is input, to maximize satisfaction for target, obtain described Optimizing Suggestions information by described satisfaction degree estimation model;
Wherein, described first Optimizing Suggestions information is the product locations suggestion of corresponding automatic vending machine, described the first object image attribute is the expression satisfaction mark of personage, described merchandise news comprises merchandise classification and product locations, described satisfaction degree estimation model is with merchandise classification and product locations for input, with the forecast model of the predicted value of client's average satisfaction for exporting.
Preferably, described management server is used for obtaining second personage's attribute according to the character image in described sales figure, the described second personage attribute corresponding based on sales figure and described merchandise news obtain the second statistical information, and described second statistical information are sent to predesignated subscriber's terminal;
Wherein, described second personage's attribute is the unique identification of personage, and described merchandise news comprises merchandise classification and loan amount.
Preferably, described management server also has all sales figures of identical uniquely identified for obtaining according to described second statistical information, when there is all sales figures of identical uniquely identified and meeting predetermined condition and again receive the sales figure corresponding to this unique identification, return discount information to the automatic vending machine sending sales figure;
Described automatic vending machine is returned to small part payment for goods according to discount information to client.
Preferably, described first personage's attribute is the expression satisfaction mark of personage, and the attribute information of described automatic vending machine comprises the internal temperature of automatic vending machine;
When described management server is used for unsatisfied expression satisfaction mark of accumulative predetermined quantity in same automatic vending machine sales figure, according to internal temperature and the ambient temperature determination internal temperature adjustment direction of described automatic vending machine, send described internal temperature to described automatic vending machine and regulate direction;
Described automatic vending machine is used for regulating internal temperature when receiving described temperature adjustment direction.
Preferably, described automatic vending machine is for detecting described ambient temperature and uploading to described management server; Or,
Described management server obtains described ambient temperature according to weather forecast information.
Second aspect, provides a kind of automatic vending machine management method, comprising:
Automatic vending machine obtains the character image of front personage at merchandising simultaneously, after having sold, upload sales figure to described management server at every turn, wherein, described sales figure comprises the attribute information of described automatic vending machine, the merchandise news of institute's merchandising and the corresponding described character image obtained;
First personage's attribute is obtained according to the character image in described marketing information, the first statistical information is obtained based on the attribute information of described first personage's attribute corresponding to all sales figures, described automatic vending machine and described merchandise news, and obtain Optimizing Suggestions information according to described first statistical information, send described first Optimizing Suggestions information to predesignated subscriber's terminal;
Wherein, the attribute information of described automatic vending machine comprises the mark of described automatic vending machine, and described first Optimizing Suggestions information is for optimizing the commodity configuration of automatic vending machine.
The present invention is selling by automatic vending machine the acquisition simultaneously carrying out character image, the attribute information such as sex, age, identity, satisfaction of personage is determined based on the character image obtained, merchandise news based on these attribute informations and sale generates corresponding statistical information, based on the commodity configuration obtained the analysis of statistical information for each automatic vending machine or device parameter optimization information, realize the precise management for automatic vending machine, promote Consumer's Experience.
Accompanying drawing explanation
By referring to the description of accompanying drawing to the embodiment of the present invention, above-mentioned and other objects, features and advantages of the present invention will be more clear, in the accompanying drawings:
Fig. 1 is the schematic diagram of the automatic vending machine management system of the embodiment of the present invention;
Fig. 2 is the schematic diagram of the automatic vending machine of the embodiment of the present invention;
Fig. 3 is the schematic diagram of the automatic vending machine of another embodiment of the present invention;
Fig. 4 is the process flow diagram of the automatic vending machine management method of the embodiment of the present invention.
Embodiment
Based on embodiment, present invention is described below, but the present invention is not restricted to these embodiments.In hereafter details of the present invention being described, detailedly describe some specific detail sections.Do not have the description of these detail sections can understand the present invention completely for a person skilled in the art yet.In order to avoid obscuring essence of the present invention, known method, process, flow process, element and circuit do not describe in detail.
In addition, it should be understood by one skilled in the art that the accompanying drawing provided at this is all for illustrative purposes, and accompanying drawing is not necessarily drawn in proportion.
Unless the context clearly requires otherwise, similar words such as " comprising ", " comprising " otherwise in whole instructions and claims should be interpreted as the implication that comprises instead of exclusive or exhaustive implication; That is, be the implication of " including but not limited to ".
In describing the invention, it is to be appreciated that term " first ", " second " etc. are only for describing object, and instruction or hint relative importance can not be interpreted as.In addition, in describing the invention, except as otherwise noted, the implication of " multiple " is two or more.
Fig. 1 is the schematic diagram of the automatic vending-machine controlling system of the embodiment of the present invention.
As shown in Figure 1, the described system Control Server 2 that comprises multiple automatic vending machine 1 and be connected with multiple automatic vending machine by network.
Described automatic vending machine 1 can be distributed in different physical locations, and preferably, the quantity of the automatic vending machine 1 in system should reach some, and can cover predetermined region, ensures the representativeness of automatic vending machine institute Information Monitoring thus.
Fig. 2 is the schematic diagram of the automatic vending machine of first embodiment of the invention.As shown in Figure 2, automatic vending machine 1 can comprise housing 11, the shelf 12 be arranged in housing 11, goods taking device 13, payment mechanism 14, human-computer interaction device 15 and communicator 16 and control device 17.Wherein, goods taking device 13, payment mechanism 14, human-computer interaction device 15 are all connected with control device 17 with communicator 16.
Housing 11, shelf 12, goods taking device 13, payment mechanism 14 and human-computer interaction device 15 is the common components of automatic vending machine.
Housing 11, for being accommodated in the inner by miscellaneous part, being protected the internal part of automatic vending machine 1, and is avoided illegally taking commodity.Shelf 12 user places and stores commodity for sale.
The goods that shelf display is pushed to the Mechatronic Systems in precalculated position by goods taking device 13 by the mechanical hook-up of mechanical arm or other type according to the control of control device 17.
Payment mechanism 14 is obtained the corresponding payment for goods of goods according to the currency of the input of client or the currency (such as by currency that Internet payment system or the IC-card with payment function pay) that paid by alternate manner and returns the amount of money of small change where necessary to client.Should be understood that in embodiments of the present invention, payment mechanism 14 is non-essential.Automatic vending machine can be communicated with management server 2 transmission and confirmation of carrying out payment information by communicator 16 under the control of control device 17, thus, client can carry out the payment of payment for goods by user terminal 3 (such as mobile communication terminal) connected to the network.
Human-computer interaction device 15 can comprise input media, for accepting user's input (such as, the selected type of merchandise).Alternatively, human-computer interaction device 15 can also comprise display device and/or loudspeaker to carry out information feed back by image or voice to user, such as, and the type of merchandise selected by display device display user and amount payable etc.Human-computer interaction device 15 can be LED display module or the LCD MODULE of integrated touch input screen.Should be understood that human-computer interaction device 15 is non-essential in some automatic vending machine 1 of the embodiment of the present invention.Automatic vending machine can be communicated with management server 2 transmission and confirmation of carrying out human-machine interactive information by communicator 16 under the control of control device 17, thus, client can come to carry out man-machine interaction with automatic vending machine by user terminal (such as mobile communication terminal) connected to the network.Putting before this, management server 2 can accept the such as commodity selection information that client is sent by user terminal, and carries out the information such as feedback payment to user.
Communicator 16 can be that radio communication device (based on the wireless network card of protocol of wireless local area network or the modulator-demodular unit based on mobile data communication agreement) also can for the wire communication device (such as Ethernet Adaptation Unit, modulator-demodular unit etc. based on line of electric force/optical fiber/twisted-pair feeder/coaxial cable signal) based on wired communication protocol.Communicator 16 can accessing Internet under the control of the controller 16, communicates, receive information or the information of transmission with management server 2.
Control device 17 for control described goods taking device 13, payment mechanism 14, human-computer interaction device 15 and communicator 16 thus automatic reception user select merchandise news, carry out payment for goods collect and commodity push, realize automatic vending.
Automatic vending machine 1 of the present invention also comprises at least one image acquiring device 18.Described image acquiring device 18 obtains at least one character image or the character image sequence of automatic vending machine front personage according to the control of controller 17.Control device 17 can control character image or the image sequence that image acquiring device 18 obtains front personage while automatic vending machine 1 carries out merchandise sales.Preferably, described image acquiring device 18 can have face tracking function, to guarantee that the character image obtained comprises face.Control device 17, after merchandise sales complete, uploads sales figure to described management server, and wherein, described sales figure comprises the attribute information of automatic vending machine, the merchandise news of institute's merchandising and the corresponding character image obtained.
Wherein, the attribute information of automatic vending machine at least comprises the mark of automatic vending machine, can help thus to determine to upload the automatic vending machine changing sales figure.
Management server 2 is for obtaining first personage's attribute according to the character image in described marketing information, the first statistical information is obtained based on the attribute information of described first personage's attribute corresponding to all sales figures, described automatic vending machine and described merchandise news, and obtain Optimizing Suggestions information according to described first statistical information, send described first Optimizing Suggestions information to predesignated subscriber's terminal, the first Optimizing Suggestions information is for optimizing the commodity configuration of automatic vending machine.
Particularly, the acquisition of personage's attribute can realize based on existing Face datection and face recognition algorithms.
Whether Face datection (FaceDetection) refers to for any given image, adopt certain strategy to search for determine wherein containing face to it, if it is returns the image processing method of the position of a face, size and attitude.Human face detection tech can comprise the human face detection tech of Knowledge based engineering human face detection tech and feature based.Wherein, the human face detection tech stepping of feature based can carry out Face datection from existing facial characteristics and from the geometric relationship between facial characteristics.Knowledge based engineering Face datection then needs the knowledge base obtained according to training to detect the position obtaining face.Can intercept from character image based on Face datection and obtain facial image, and then carry out recognition of face for this image.
Recognition of face (HumanFaceRecognition) refers to the image processing method that the discriminating or carry out its attribute (such as, sex, age etc.) carrying out piece identity based on facial image is determined.
In a preferred embodiment, first states the merchandise classification configuration information that Optimizing Suggestions information is every platform automatic vending machine, described the first object image attribute is the sex and age of personage, described merchandise news comprises merchandise classification, and the attribute information of described automatic vending machine comprises the position attribution information of described automatic vending machine.
Management server 2 for described first statistical information for sample by machine learning algorithm training obtain Sales Volume Prediction Model, and with the Sex distribution of the position attribution information of each described automatic vending machine, history client and age distribution for input, to maximize the merchandise sales amount of money or sales volume for optimization aim, obtain described first Optimizing Suggestions information according to described Sales Volume Prediction Model.Optimal prediction model is with the Sex distribution of the position attribution information of automatic vending machine, client and age distribution for input, with the forecast model of the prediction sales volume of different classes of commodity for exporting.
That is, management server 2 is according to the sex of personage in each sales figure, (position attribution information can be commercial center for the position of automatic vending machine for age and automatic vending machine position attribution information, library, university, tourist attractions classified information) and sell the corresponding type of merchandise and carry out machine learning, to obtain the sex of personage, age and automatic vending machine position attribution information affect for the sold type of merchandise, obtain with the position attribution information of automatic vending machine, the Sex distribution of client and age distribution are input, with the forecast model of the prediction sales volume of different classes of commodity for exporting.
Machine learning algorithm obtains the effective ways of the Different Effects factor for the impact of particular variables based on existing data analysis, and it comprises the methods such as decision Tree algorithms, regression algorithm, support vector machine method and neural network.Can train based on existing machine learning algorithm and obtain described forecast model.Based on this forecast model, can predict the sales volume under different commodity configuration modes with the Sex distribution of the position attribution information of specific automatic vending machine, history client and age distribution further, pass through optimization method, the optimum solution of merchandise classification configuration can be obtained, it can be used as the first Optimizing Suggestions information.
Optimized solution procedure can realize based on existing optimization algorithm such as such as genetic algorithm or ant group algorithm etc.
First Optimizing Suggestions information can be sent to predetermined user terminal, and described user terminal can be the various terminal devices with data processing function such as desktop computer, notebook computer, mobile communication terminal, panel computer.
Thus, the network operator of automatic vending machine can obtain the suggestion that the merchandise classification for each automatic vending machine configures, thus realizes the precise management for commodity configuration.
Further, management server 2 can also obtain second personage's attribute according to the character image in described sales figure, the described second personage attribute corresponding based on sales figure and product locations acquisition of information second statistical information, to state the second statistical information for sample is by machine learning algorithm training acquisition satisfaction degree estimation model, and with the merchandise classification of the commodity of every platform automatic vending machine configuration suggestion for input, to maximize satisfaction for target, obtain the second Optimizing Suggestions information by described satisfaction degree estimation model.
Wherein, described second Optimizing Suggestions information is the product locations suggestion of corresponding automatic vending machine, described second character image attribute is the expression satisfaction mark of personage, described merchandise news comprises type of merchandize and product locations, described optimal prediction model is with merchandise classification and product locations for input, with the forecast model of the predicted value of client's average satisfaction for exporting.
Existing face recognition algorithms can carry out the identification of expressing one's feelings according to facial image, by after facial image carries out pre-service, a large amount of facial image with emotag is trained, can obtain and express one's feelings the model of classifying to facial image, this can be realized by such as pivot analysis (PCA) scheduling algorithm.Described expression satisfaction label can be such as, satisfied and dissatisfied two kinds of labels, will represent that the expression of unhealthy emotion is classified as dissatisfied, will represent that the expression of neutral mood or front mood is classified as satisfaction.
Because different product locations can correspond to the different stand-by period, if client was unsatisfied with for the stand-by period, then the sale of automatic vending machine may be affected.By the acquisition of reaction waited for for diverse location commodity client and analysis, satisfaction degree estimation model can be obtained, and obtain the Optimizing Suggestions for merchandise classification setting position based on this.
Optimized solution procedure can realize based on existing optimization algorithm such as such as genetic algorithm or ant group algorithm etc.
Thus, by obtaining the configuration suggestion of merchandise classification to the analysis of the first statistical information, advise based on this configuration, can carry out analyzing obtaining to the second statistical information further and the configuration of product locations is advised, thus, more accurately manage automatic vending machine.
In another preferred embodiment, the configuration optimization of product locations can also be carried out separately.In this preferred implementation, described first Optimizing Suggestions information is the product locations suggestion of corresponding automatic vending machine, described the first object image attribute is the expression satisfaction mark of personage, described merchandise news comprises merchandise classification and product locations, described satisfaction degree estimation model is with merchandise classification and product locations for input, with the forecast model of the predicted value of client's average satisfaction for exporting.
Management server 2 for described first statistical information for sample obtains satisfaction degree estimation model by machine learning algorithm training, and the merchandise classification configured with every platform automatic vending machine is input, to maximize satisfaction for target, obtain described Optimizing Suggestions information by described satisfaction degree estimation model.
Thus, can configure based on existing merchandise classification, and the configuration of nonanticipating merchandise classification carries out analysis acquisition recommendation on improvement to product locations, realizes the precise management for automatic vending machine.
In another embodiment, except being configured optimization to merchandise classification or product locations, described automatic vending machine management system can also differentiate customer identification based on character image, and then the consumption of statistics same client, carry out the feedback of statistical information based on this consumption or feedback carried out to client thus improves user's experience.
Particularly, described management server is used for obtaining second personage's attribute according to the character image in described sales figure, the described second personage attribute corresponding based on sales figure and described merchandise news obtain the second statistical information, and described second statistical information are sent to predesignated subscriber's terminal;
Wherein, described second personage's attribute is the unique identification of personage, and described merchandise news comprises merchandise classification and loan amount.
Thus, the statistics of the consumption habit for each client can be realized.Member system can be set up further for each client.
Further, management server 2 can also obtain according to described second statistical information has identical uniquely identified sales figure, when there is all sales figures of identical uniquely identified and meeting predetermined condition and again receive the sales figure corresponding to this unique identification, return discount information to the automatic vending machine sending sales figure;
Described automatic vending machine is returned to small part payment for goods according to discount information to client.
Such as, the unique identification of personage is determined based on recognition of face, when the sales figure cumulative consumption number of times of client corresponding to this unique identification or total loan amount are greater than predetermined value, for the subsequent consumption discount offered of this client, management server 2, when receiving the new consumer record with this uniquely identified client, returns discount information to the automatic vending machine sending consumer record.Automatic vending machine 1 has now completed the consumption of client, its according to discount information to the payment for goods of client's returning part.This return can be realized by the mode of such as moving back coin.Automatic vending machine 1 can also be pointed out client by man-machine interactive system.
Thus, the automatic control and management of automatic vending machine can be realized further in units of each client.
In another embodiment, as shown in Figure 3, automatic vending machine 1 can also feed back more relevant to automatic vending machine during customer consumption 1 inside and external environment condition information further by communicator 16.Automatic vending machine 1 can comprise temperature control equipment 19a, internal temperature sensor 19b and external temperature sensor 19c.Temperature control equipment 19a is connected with described control device 17 with internal temperature sensor 19b and external temperature sensor 19c.Temperature control equipment 19a is for controlling the temperature of automatic vending machine 1 shelf place confined space, and temperature control equipment 19a can be the refrigerating and heating systems comprising compressor.Internal temperature sensor 19b is for detecting the temperature of shelf place confined space.External temperature sensor 19c is for obtaining the environment temperature of automatic vending machine outside.
After each merchandising, the marketing information of the facial image comprising client is all uploaded to management server 2 by communicator 16 by automatic vending machine 1, and meanwhile, automatic vending machine 1 also adds internal temperature and ambient temperature in marketing information.Management server 2 pairs of facial images identify the expression information label of rear acquisition facial image.
When management server 2 identifies for the unsatisfied expression satisfaction adding up predetermined quantity in same automatic vending machine sales figure, according to internal temperature and the ambient temperature determination internal temperature adjustment direction of described automatic vending machine, send described internal temperature to described automatic vending machine and regulate direction.Automatic vending machine 1 is for regulating internal temperature when receiving described temperature adjustment direction.
Such as, same automatic vending machine within a schedule time accumulative 10 dissatisfied expressions or 50% the expression information of facial image of client be dissatisfied, then determine to regulate, according to the temperature difference selection adjustment direction of external temperature and internal temperature.In ambient temperature lower than the first value, and the difference of internal temperature and ambient temperature is when being less than the first difference, judge that internal temperature is too low, select to promote internal temperature, in ambient temperature higher than the second value, and the difference of external temperature and internal temperature is when being less than the first difference, judge that internal temperature is too high, select to reduce internal temperature.The control device 17 of automatic vending machine 1 regulates internal temperature according to the temperature adjustment instructions control temperature regulating device 19a received, thus proper temperature when commodity are arrived in client's hand.
In another embodiment, automatic vending machine 1 can not also arrange external temperature sensor, but obtains described ambient temperature by management server 2 according to weather forecast information.
Thus, the present invention is selling by automatic vending machine the acquisition simultaneously carrying out character image, the attribute information such as sex, age, identity, satisfaction of personage is determined based on the character image obtained, merchandise news based on these attribute informations and sale generates corresponding statistical information, based on the commodity configuration obtained the analysis of statistical information for each automatic vending machine or device parameter optimization information, realize the precise management for automatic vending machine, promote Consumer's Experience.
Fig. 4 is the process flow diagram of the automatic vending machine management method of the embodiment of the present invention.
As shown in Figure 4, described method comprises:
Step 100, automatic vending machine obtain the character image of front personage at merchandising simultaneously, after having sold, upload sales figure to described management server at every turn, wherein, described sales figure comprises the attribute information of described automatic vending machine, the merchandise news of institute's merchandising and the corresponding described character image obtained.
Step 200, obtain first personage's attribute according to the character image in described marketing information, the first statistical information is obtained based on the attribute information of described first personage's attribute corresponding to all sales figures, described automatic vending machine and described merchandise news, and obtain Optimizing Suggestions information according to described first statistical information, send described first Optimizing Suggestions information to predesignated subscriber's terminal.
Wherein, the attribute information of described automatic vending machine comprises the mark of described automatic vending machine, and described first Optimizing Suggestions information is for optimizing the commodity configuration of automatic vending machine.
Thus, the present invention is selling by automatic vending machine the acquisition simultaneously carrying out character image, the attribute information such as sex, age, identity, satisfaction of personage is determined based on the character image obtained, merchandise news based on these attribute informations and sale generates corresponding statistical information, based on the commodity configuration obtained the analysis of statistical information for each automatic vending machine or device parameter optimization information, realize the precise management for automatic vending machine, promote Consumer's Experience.
Should be understood that the data structure that describes in this embodiment and code are stored on computer-readable recording medium usually, it can be can store for the code of computer system and/or any equipment of data or medium.Computer-readable recording medium includes but not limited to volatile memory, nonvolatile memory, magnetic and optical storage apparatus, such as disc driver, tape, CD (CD), DVD (digital versatile disc or digital video disk) or known or later exploitation now can other media of storage code and/or data.
The Method and Process that embodiment part describes can be embodied as code and/or data, this code and/or data can be stored in computer-readable recording medium as above.When computer system reads and when performing code and/or data that computer-readable recording medium stores, computer system performs and is embodied as data structure and code and the Method and Process be stored in computer-readable recording medium.
In addition, Method and Process described herein can be included in hardware module or device.These modules or device can include but not limited to special IC (ASIC) chip, field programmable gate array (FPGA), perform the programmable logic device of the special or share processor of specific software module or one section of code and/or other known or later exploitations now at special time.When activating hardware module or device, they perform the Method and Process be included in wherein.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, to those skilled in the art, the present invention can have various change and change.All do within spirit of the present invention and principle any amendment, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. an automatic vending machine management system, comprises multiple stage automatic vending machine and management server, and described automatic vending machine is connected with described management server by network, wherein:
Described automatic vending machine is used for Automatic-selling commodity and obtains the character image of front personage simultaneously, after having sold, upload sales figure to described management server at every turn, wherein, described sales figure comprises the attribute information of described automatic vending machine, the merchandise news of institute's merchandising and the corresponding described character image obtained;
Described management server is used for obtaining first personage's attribute according to the character image in described marketing information, the first statistical information is obtained based on the attribute information of described first personage's attribute corresponding to all sales figures, described automatic vending machine and described merchandise news, and obtain Optimizing Suggestions information according to described first statistical information, send described first Optimizing Suggestions information to predesignated subscriber's terminal;
Wherein, the attribute information of described automatic vending machine comprises the mark of described automatic vending machine, and described first Optimizing Suggestions information is for optimizing the commodity configuration of automatic vending machine.
2. automatic vending machine management system according to claim 1, it is characterized in that, described management server is used for described first statistical information for sample obtains Sales Volume Prediction Model by machine learning algorithm training, and with the Sex distribution of the position attribution information of each described automatic vending machine, history client and age distribution for input, to maximize the merchandise sales amount of money or sales volume for optimization aim, obtain described first Optimizing Suggestions information according to described Sales Volume Prediction Model;
Wherein, first state Optimizing Suggestions information be every platform automatic vending machine merchandise classification configuration suggestion, described the first object image attribute is the sex and age of personage, described merchandise news comprises merchandise classification, the attribute information of described automatic vending machine comprises the position attribution information of described automatic vending machine, described optimal prediction model is with the Sex distribution of the position attribution information of automatic vending machine, client and age distribution for input, with the forecast model of the prediction sales volume of different classes of commodity for exporting.
3. automatic vending machine management system according to claim 2, it is characterized in that, described management server is used for obtaining second personage's attribute according to the character image in described sales figure, the described second personage attribute corresponding based on sales figure and product locations acquisition of information second statistical information, to state the second statistical information for sample is by machine learning algorithm training acquisition satisfaction degree estimation model, and with the merchandise classification in the commodity of every platform automatic vending machine configuration suggestion for input, to maximize satisfaction for target, the second Optimizing Suggestions information is obtained by described satisfaction degree estimation model,
Wherein, described second Optimizing Suggestions information is the product locations suggestion of corresponding automatic vending machine, described second character image attribute is the expression satisfaction mark of personage, described merchandise news comprises type of merchandize and product locations, described optimal prediction model is with merchandise classification and product locations for input, with the forecast model of the predicted value of client's average satisfaction for exporting.
4. automatic vending machine management system according to claim 1, it is characterized in that, described management server is used for described first statistical information for sample obtains satisfaction degree estimation model by machine learning algorithm training, and the merchandise classification configured with every platform automatic vending machine is input, to maximize satisfaction for target, obtain described Optimizing Suggestions information by described satisfaction degree estimation model;
Wherein, described first Optimizing Suggestions information is the product locations suggestion of corresponding automatic vending machine, described the first object image attribute is the expression satisfaction mark of personage, described merchandise news comprises merchandise classification and product locations, described satisfaction degree estimation model is with merchandise classification and product locations for input, with the forecast model of the predicted value of client's average satisfaction for exporting.
5. the automatic vending machine management system according to any one of claim 1,2,4, it is characterized in that, described management server is used for obtaining second personage's attribute according to the character image in described sales figure, the described second personage attribute corresponding based on sales figure and described merchandise news obtain the second statistical information, and described second statistical information are sent to predesignated subscriber's terminal;
Wherein, described second personage's attribute is the unique identification of personage, and described merchandise news comprises merchandise classification and loan amount.
6. automatic vending machine management system according to claim 5, it is characterized in that, described management server also has all sales figures of identical uniquely identified for obtaining according to described second statistical information, when there is all sales figures of identical uniquely identified and meeting predetermined condition and again receive the sales figure corresponding to this unique identification, return discount information to the automatic vending machine sending sales figure;
Described automatic vending machine is returned to small part payment for goods according to discount information to client.
7. automatic vending machine management system according to claim 1, is characterized in that, described first personage's attribute is the expression satisfaction mark of personage, and the attribute information of described automatic vending machine comprises the internal temperature of automatic vending machine;
When described management server is used for unsatisfied expression satisfaction mark of accumulative predetermined quantity in same automatic vending machine sales figure, according to internal temperature and the ambient temperature determination internal temperature adjustment direction of described automatic vending machine, send described internal temperature to described automatic vending machine and regulate direction;
Described automatic vending machine is used for regulating internal temperature when receiving described temperature adjustment direction.
8. automatic vending machine management system according to claim 7, is characterized in that, described automatic vending machine is for detecting described ambient temperature and uploading to described management server; Or,
Described management server obtains described ambient temperature according to weather forecast information.
9. an automatic vending machine management method, comprising:
Automatic vending machine obtains the character image of front personage at merchandising simultaneously, after having sold, upload sales figure to described management server at every turn, wherein, described sales figure comprises the attribute information of described automatic vending machine, the merchandise news of institute's merchandising and the corresponding described character image obtained;
First personage's attribute is obtained according to the character image in described marketing information, the first statistical information is obtained based on the attribute information of described first personage's attribute corresponding to all sales figures, described automatic vending machine and described merchandise news, and obtain Optimizing Suggestions information according to described first statistical information, send described first Optimizing Suggestions information to predesignated subscriber's terminal;
Wherein, the attribute information of described automatic vending machine comprises the mark of described automatic vending machine, and described first Optimizing Suggestions information is for optimizing the commodity configuration of automatic vending machine.
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