CN114140195A - Operation method and system of intelligent vending machine - Google Patents
Operation method and system of intelligent vending machine Download PDFInfo
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- G06Q20/327—Short range or proximity payments by means of M-devices
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Abstract
The invention provides an operation method and system of an intelligent vending machine, and relates to the technical field of commercial popularization. The method comprises the following steps: the method comprises the steps of obtaining selling parameters of target commodities, wherein the selling parameters comprise selling scenes and corresponding audience crowds. And formulating different commodity selling methods for the target intelligent vending machine according to different selling scenes. The method comprises the steps of obtaining purchaser demand parameters of the target intelligent vending machine, and determining a popularization mode according to the purchaser demand parameters. Based on the popularization mode, put in the target intelligent vending machine and sell the scene to the target, the target intelligent vending machine gathers the current environment data of selling in real time to sell the environment data transmission to presetting the analysis model at present. Therefore, the requirement parameters of the purchasers are fully considered, reasonable popularization modes are provided for the purchasers, the worry of the purchasers is reduced, a large number of target intelligent vending machines are popularized, target commodity selling methods in different scenes are provided for the purchasers, and the purpose of all-around management and operation from popularization to use of the target intelligent vending machines is achieved.
Description
Technical Field
The invention relates to the technical field of commercial popularization, in particular to an operation method and system of an intelligent vending machine.
Background
With the continuous development of science and technology, the intelligent vending machine enters people's lives as a brand-new commercial retail form. Because the intelligent vending machine is not limited by time and place, the manpower can be saved, the transaction is convenient, and the intelligent vending machine is gradually accepted by people.
At present, the current vending machine only pays attention to the product itself, is in single commodity state of selling, and has ignored the all-round management operation to intelligent vending machine from promoting to using, has not only led to the problem that user experience degree is not high, intelligent vending machine commodity becomes the traffic low, has also led to the problem that intelligent vending machine lacks effective propaganda and drainage moreover, has hindered enterprise development and product promotion.
Disclosure of Invention
The invention aims to provide an operation method and system of an intelligent vending machine, which are used for solving the problem that the intelligent vending machine is lack of effective propaganda and drainage due to neglect of all-around management operation from popularization to use of the intelligent vending machine in the prior art.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an operation method of an intelligent vending machine, including the following steps: the method comprises the steps of obtaining selling parameters of target commodities, wherein the selling parameters comprise selling scenes and corresponding audience crowds. And (4) analyzing the selling parameters, and formulating different commodity selling methods for the target intelligent vending machine according to different selling scenes. The method comprises the steps of obtaining purchaser demand parameters of the target intelligent vending machine, and determining a popularization mode according to the purchaser demand parameters. Based on the popularization mode, the target intelligent vending machine is put in the target selling scene, the target intelligent vending machine collects current selling environment data in real time, and transmits the current selling environment data to a preset analysis model so as to obtain all user information in the current environment. And if the user information meets the preset promotion condition, acquiring historical purchase data of all users meeting the preset promotion condition. And calculating commodity purchase probabilities of all users based on historical purchase data, and comparing the commodity purchase probabilities to obtain the user with the highest commodity purchase probability.
In some embodiments of the present invention, after the step of delivering the target smart vending machine to the target vending scene and acquiring the current vending environment data in real time by the target smart vending machine, the method further includes: when a user purchases goods, the target smart vending machine obtains the user's voice. And analyzing the voice of the user, capturing key information, and generating a corresponding payment two-dimensional code according to the key information.
In some embodiments of the present invention, when the user purchases a commodity, the target intelligent vending machine acquires the user voice and simultaneously acquires the user image information, and performs comparison analysis on the user image information and the historical user image in the database, and if a historical user image consistent with the user image information exists, the target intelligent vending machine calls the user name.
In some embodiments of the present invention, when the user purchases a commodity, the step of acquiring the user image information while acquiring the user voice, and comparing and analyzing the user image information with the historical user image in the database includes: and if no historical user image consistent with the user image information exists, storing the user image information and the corresponding user name in a database.
In some embodiments of the present invention, after the step of obtaining the user voice by the target smart vending machine when the user purchases goods, the method further includes: and inputting the user voice into the deep learning network model to obtain the answer voice, and calling out the answer voice.
In some embodiments of the present invention, after the step of acquiring the current vending environment data in real time by the target smart vending machine, the method further includes: and analyzing the current selling environment data to obtain current scene information. According to the current scene information, a display screen carried by the target intelligent vending machine displays different expressions.
In some embodiments of the invention, the promotion includes leasing, purchasing, and affiliation.
In a second aspect, an embodiment of the present application provides an operation system of an intelligent vending machine, including: and the selling parameter acquisition module is used for acquiring the selling parameters of the target commodity, and the selling parameters comprise a selling scene and corresponding audience crowds. And the selling parameter analysis module is used for analyzing the selling parameters and formulating different commodity selling methods for the target intelligent vending machine according to different selling scenes. And the popularization mode determining module is used for acquiring the buyer demand parameters of the target intelligent vending machine and determining the popularization mode according to the buyer demand parameters. The current selling environment data analysis module is used for putting the target intelligent vending machine into a target selling scene based on a popularization mode, collecting current selling environment data of the target intelligent vending machine in real time, transmitting the current selling environment data to a preset analysis model, and obtaining all user information in the current environment. And the historical purchase data obtaining module is used for obtaining the historical purchase data of all users meeting the preset promotion condition if the user information meets the preset promotion condition. And the commodity purchase probability comparison module is used for calculating the commodity purchase probabilities of all the users based on the historical purchase data, and comparing the commodity purchase probabilities to obtain the user with the highest commodity purchase probability.
In some embodiments of the present invention, the operation system of the intelligent vending machine further includes: and the user voice acquisition module is used for acquiring the user voice of the target intelligent vending machine when the user purchases commodities. And the payment two-dimensional code production module is used for analyzing the voice of the user, capturing key information and generating a corresponding payment two-dimensional code according to the key information.
In some embodiments of the present invention, the user voice obtaining module includes: and the user image information acquisition submodule is used for acquiring user image information while acquiring user voice when a user purchases a commodity, comparing and analyzing the user image information with historical user images in the database, and calling out a user name by the target intelligent vending machine if the historical user images consistent with the user image information exist.
In some embodiments of the present invention, the user image information collecting sub-module includes: and the user image information storage unit is used for storing the user image information and the corresponding user name into the database if no historical user image consistent with the user image information exists.
In some embodiments of the present invention, the operation system of the intelligent vending machine further includes: and the answer module is used for inputting the user voice into the deep learning network model to obtain answer voice and calling out the answer voice.
In some embodiments of the present invention, the operation system of the intelligent vending machine further includes: and the current scene information obtaining module is used for analyzing the current selling environment data to obtain the current scene information. And the expression display module is used for displaying different expressions on a display screen carried by the target intelligent vending machine according to the current scene information.
In some embodiments of the invention, the promotion includes leasing, purchasing, and affiliation.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect described above.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides an operation method and system of an intelligent vending machine, which comprises the following steps: the method comprises the steps of obtaining selling parameters of target commodities, wherein the selling parameters comprise selling scenes and corresponding audience crowds. And (4) analyzing the selling parameters, and formulating different commodity selling methods for the target intelligent vending machine according to different selling scenes. The method comprises the steps of obtaining purchaser demand parameters of the target intelligent vending machine, and determining a popularization mode according to the purchaser demand parameters. Based on the popularization mode, the target intelligent vending machine is put in the target selling scene, the target intelligent vending machine collects current selling environment data in real time, and transmits the current selling environment data to a preset analysis model so as to obtain all user information in the current environment. And if the user information meets the preset promotion condition, acquiring historical purchase data of all users meeting the preset promotion condition. And calculating commodity purchase probabilities of all users based on historical purchase data, and comparing the commodity purchase probabilities to obtain the user with the highest commodity purchase probability. According to the method and the system, different commodity selling methods are formulated for the target intelligent vending machine by analyzing audience groups of the target commodity in different selling scenes, so that the target intelligent vending machine which sells different commodities is put in a targeted mode according to the different selling scenes, the volume of the target commodity is greatly increased, and the overstock of the target commodity is avoided. The method and the system fully consider the buyer demand parameters and provide a reasonable popularization mode for the buyer, thereby reducing the worry of the buyer, realizing the purpose of popularizing a large number of target intelligent vending machines and providing target commodity selling methods with different scenes for the buyer. After the target intelligent vending machine is put into a target vending scene, all user information in the current environment is analyzed in real time to find the user with the highest commodity purchasing probability, commodity sales is carried out on the user according to the purchasing record of the user, and the transaction rate of the target commodity is further improved. Therefore, the purpose of all-dimensional management operation from popularization to use of the target intelligent vending machine is achieved, the user experience is guaranteed, and meanwhile the transaction rate of the target commodity is promoted.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of an operation method of an intelligent vending machine according to an embodiment of the present invention;
fig. 2 is a block diagram of an operation system of an intelligent vending machine according to an embodiment of the present invention;
fig. 3 is a schematic structural block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100-operation system of intelligent vending machine; 110-a vending parameter acquisition module; 120-sales parameter analysis module; 130-a promotion mode determination module; 140-current sales environment data analysis module; 150-historical purchase data obtaining module; 160-commodity purchase probability comparison module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of an element identified by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that if the terms "upper", "lower", "inner", "outer", etc. are used to indicate an orientation or positional relationship based on that shown in the drawings or that the application product is usually placed in use, the description is merely for convenience and simplicity, and it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore should not be construed as limiting the present application.
In the description of the present application, it should also be noted that, unless otherwise explicitly stated or limited, the terms "disposed" and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Examples
Referring to fig. 1, fig. 1 is a flowchart illustrating an operation method of an intelligent vending machine according to an embodiment of the present disclosure. An operation method of an intelligent vending machine comprises the following steps:
s110: obtaining selling parameters of a target commodity, wherein the selling parameters comprise a selling scene and corresponding audience crowds;
specifically, the selling parameters include audience objects of the target product in a certain selling scene.
Wherein the target commodity can be cola, mineral water or potato chips. For example, if the target commodity is cola, audience groups of the cola in a shopping mall, audience groups in a school, and audience groups in a station may be obtained.
S120: analyzing selling parameters, and formulating different commodity selling methods for the target intelligent vending machine according to different selling scenes;
specifically, the selling parameters are analyzed, and the selling amount of the target commodity in different selling scenes is obtained. Generally, due to the particularity of scenes such as shopping malls, airports, stations, schools and the like, the people flow rate of the scenes is large, and audience objects are fixed, so that target intelligent vending machines for selling different commodities can be put in and put in pertinence according to different selling scenes, the transaction volume of the target commodities is greatly improved, and the stock overstock of the target commodities is avoided.
S130: acquiring a buyer demand parameter of a target intelligent vending machine, and determining a popularization mode according to the buyer demand parameter;
specifically, the buyer demand parameters are fully considered, a reasonable popularization mode is provided for the buyer, so that the worry of the buyer is reduced, and the purpose of popularizing the target intelligent vending machine in a large quantity is realized.
The promotion method can be leasing, purchasing and joining.
S140: based on a popularization mode, putting a target intelligent vending machine to a target vending scene, collecting current vending environment data in real time by the target intelligent vending machine, and transmitting the current vending environment data to a preset analysis model to obtain all user information in the current environment;
specifically, according to the buyer demand parameters, the corresponding promotion mode and commodity selling method are determined, multiple promotion mode choices are provided for the buyer, and target commodity selling methods with different scenes are provided for the buyer. And put target intelligent vending machine into the target and sell the scene to gather present environment data of selling in real time. And transmitting the current selling environment data to a preset analysis model for analysis to obtain all user information in the current environment, wherein any user information comprises the purchasing times, purchasing time parameters and purchasing amount parameters of the user.
S150: if the user information meets the preset promotion condition, acquiring historical purchase data of all users meeting the preset promotion condition;
the preset promotion condition comprises that the number of times of purchase reaches a threshold value, the time parameter of purchase is higher than the preset time, and the parameter of purchase amount reaches the threshold value of amount.
S160: and calculating commodity purchase probabilities of all users based on historical purchase data, and comparing the commodity purchase probabilities to obtain the user with the highest commodity purchase probability.
Specifically, if a plurality of users reach the preset promotion condition, the user with the highest commodity purchase probability is found. The target intelligent vending machine carries out commodity sales to the user according to the purchase record of the user, and the transaction rate of the target commodity is further improved.
In the implementation process, different commodity selling methods are formulated for the target intelligent vending machine by analyzing audience groups of target commodities in different selling scenes, so that the target intelligent vending machine for selling different commodities is put in a targeted mode according to the different selling scenes, the transaction volume of the target commodities is greatly improved, and the stock overstock of the target commodities is avoided. In addition, the method fully considers the buyer requirement parameters and provides a reasonable popularization mode for the buyer, thereby reducing the worry of the buyer, realizing the purpose of popularizing a large number of target intelligent vending machines and providing target commodity selling methods with different scenes for the buyer. After the target intelligent vending machine is put into a target vending scene, all user information in the current environment is analyzed in real time to find the user with the highest commodity purchasing probability, commodity sales is carried out on the user according to the purchasing record of the user, and the transaction rate of the target commodity is further improved. Therefore, the purpose of all-dimensional management operation from popularization to use of the target intelligent vending machine is achieved, the user experience is guaranteed, and meanwhile the transaction rate of the target commodity is promoted.
In some embodiments of this embodiment, after the step of delivering the target smart vending machine to the target vending scene and acquiring the current vending environment data in real time by the target smart vending machine, the method further includes: when a user purchases goods, the target smart vending machine obtains the user's voice. And analyzing the voice of the user, capturing key information, and generating a corresponding payment two-dimensional code according to the key information. Specifically, the target intelligent vending machine can acquire and analyze user voice in real time, capture key information to generate a payment two-dimensional code, further enable the shopping process to be more intelligent and simpler, and increase the shopping experience of the user.
In some embodiments of this embodiment, when the user purchases a commodity, the target smart vending machine acquires user image information while acquiring user voice, and performs comparison analysis on the user image information and a historical user image in the database, and if a historical user image that is consistent with the user image information exists, the target smart vending machine calls the user name. Specifically, the database stores all the user information of the target intelligent vending machine. When a user purchases goods through the target intelligent vending machine for a non-first time, the user images in the database can be compared quickly, the user name is called out, the user purchasing process is more intelligent, and the distance between the user and the intelligent vending machine is shortened.
In some embodiments of this embodiment, when the user purchases a commodity, the step of acquiring the user image information while acquiring the user voice by the target intelligent vending machine, and comparing and analyzing the user image information with the historical user image in the database includes: and if no historical user image consistent with the user image information exists, storing the user image information and the corresponding user name in a database. Therefore, the user information in the database is added, and the user can conveniently call the database when purchasing again.
In some embodiments of this embodiment, after the step of obtaining the user voice by the target smart vending machine when the user purchases the goods, the method further includes: and inputting the user voice into the deep learning network model to obtain the answer voice, and calling out the answer voice. Specifically, the deep learning network model may analyze the user speech to obtain a corresponding answer speech. Therefore, the answer voice is used for communicating with the user, and the shopping experience of the user is improved. And can guide the user to shop with the answer voice.
In some embodiments of this embodiment, after the step of acquiring, by the target smart vending machine, the current vending environment data in real time, the method further includes: and analyzing the current selling environment data to obtain current scene information. According to the current scene information, a display screen carried by the target intelligent vending machine displays different expressions. Specifically, current scene information is analyzed, and different expressions are displayed through a display screen, such as: the expression of distraction and disappointment is displayed, thereby adding the shopping fun of the user. And the expression is displayed through the display screen, so that other users can be attracted, and the propaganda and the drainage of the target intelligent vending machine are facilitated.
In some embodiments of this embodiment, the promotion includes leasing, purchasing, and affiliation. Specifically, multiple popularization modes provide more choices for users, and a large-scale management and operation foundation is laid for the target intelligent vending machine.
Referring to fig. 2, fig. 2 is a block diagram illustrating an operation system 100 of an intelligent vending machine according to an embodiment of the present invention. The embodiment of the present application provides an operation system 100 of an intelligent vending machine, which includes: the selling parameter acquiring module 110 is configured to acquire a selling parameter of the target product, where the selling parameter includes a selling scene and a corresponding audience group. And the selling parameter analyzing module 120 is used for analyzing the selling parameters and formulating different commodity selling methods for the target intelligent vending machine according to different selling scenes. And the popularization mode determining module 130 is configured to obtain a buyer requirement parameter of the target intelligent vending machine, and determine a popularization mode according to the buyer requirement parameter. And the current selling environment data analysis module 140 is used for putting the target intelligent vending machine into a target selling scene based on a popularization mode, acquiring current selling environment data in real time by the target intelligent vending machine, and transmitting the current selling environment data to a preset analysis model to obtain all user information in the current environment. The historical purchase data obtaining module 150 is configured to, if the user information meets the preset promotion condition, obtain historical purchase data of all users meeting the preset promotion condition. And the commodity purchase probability comparison module 160 is configured to calculate commodity purchase probabilities of all users based on historical purchase data, and compare the commodity purchase probabilities to obtain a user with the highest commodity purchase probability.
Specifically, the system formulates different commodity selling methods for the target intelligent vending machine by analyzing audience groups of target commodities in different selling scenes, so that the target intelligent vending machine for selling different commodities is put in a targeted mode according to different selling scenes, the transaction volume of the target commodities is greatly improved, and the stock overstock of the target commodities is avoided. In addition, the system fully considers the requirement parameters of the buyers and provides a reasonable popularization mode for the buyers, thereby reducing the worry of the buyers, realizing the purpose of popularizing a large number of target intelligent vending machines and providing target commodity selling methods with different scenes for the buyers. After the target intelligent vending machine is put into a target vending scene, all user information in the current environment is analyzed in real time to find the user with the highest commodity purchasing probability, commodity sales is carried out on the user according to the purchasing record of the user, and the transaction rate of the target commodity is further improved. Therefore, the purpose of all-dimensional management operation from popularization to use of the target intelligent vending machine is achieved, the user experience is guaranteed, and meanwhile the transaction rate of the target commodity is promoted.
In some implementations of the present embodiment, the operation system 100 of the intelligent vending machine further includes: and the user voice acquisition module is used for acquiring the user voice of the target intelligent vending machine when the user purchases commodities. And the payment two-dimensional code production module is used for analyzing the voice of the user, capturing key information and generating a corresponding payment two-dimensional code according to the key information. Specifically, the target intelligent vending machine can acquire and analyze user voice in real time, capture key information to generate a payment two-dimensional code, further enable the shopping process to be more intelligent and simpler, and increase the shopping experience of the user.
In some embodiments of this embodiment, the user speech acquiring module includes: and the user image information acquisition submodule is used for acquiring user image information while acquiring user voice when a user purchases a commodity, comparing and analyzing the user image information with historical user images in the database, and calling out a user name by the target intelligent vending machine if the historical user images consistent with the user image information exist. Specifically, the database stores all the user information of the target intelligent vending machine. When a user purchases goods through the target intelligent vending machine for a non-first time, the user images in the database can be compared quickly, the user name is called out, the user purchasing process is more intelligent, and the distance between the user and the intelligent vending machine is shortened.
In some embodiments of this embodiment, the user image information collecting sub-module includes: and the user image information storage unit is used for storing the user image information and the corresponding user name into the database if no historical user image consistent with the user image information exists. Therefore, the user information in the database is added, and the user can conveniently call the database when purchasing again.
In some implementations of the present embodiment, the operation system 100 of the intelligent vending machine further includes: and the answer module is used for inputting the user voice into the deep learning network model to obtain answer voice and calling out the answer voice. Specifically, the deep learning network model may analyze the user speech to obtain a corresponding answer speech. Therefore, the answer voice is used for communicating with the user, and the shopping experience of the user is improved. And can guide the user to shop with the answer voice.
In some implementations of the present embodiment, the operation system 100 of the intelligent vending machine further includes: and the current scene information obtaining module is used for analyzing the current selling environment data to obtain the current scene information. And the expression display module is used for displaying different expressions on a display screen carried by the target intelligent vending machine according to the current scene information. Thereby adding the shopping fun of the user. And the expression is displayed through the display screen, so that other users can be attracted, and the propaganda and the drainage of the target intelligent vending machine are facilitated.
In some embodiments of this embodiment, the promotion includes leasing, purchasing, and affiliation. Specifically, multiple popularization modes provide more choices for users, and a large-scale management and operation foundation is laid for the target intelligent vending machine.
Referring to fig. 3, fig. 3 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the operating system 100 of the smart vending machine provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, so as to execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An operation method of an intelligent vending machine is characterized by comprising the following steps:
obtaining selling parameters of a target commodity, wherein the selling parameters comprise a selling scene and corresponding audience crowds;
analyzing the selling parameters, and formulating different commodity selling methods for the target intelligent vending machine according to different selling scenes;
acquiring a buyer demand parameter of a target intelligent vending machine, and determining a popularization mode according to the buyer demand parameter;
based on the popularization mode, the target intelligent vending machine is put into a target vending scene, the target intelligent vending machine collects current vending environment data in real time and transmits the current vending environment data to a preset analysis model to obtain all user information in the current environment;
if the user information meets the preset promotion condition, acquiring historical purchase data of all users meeting the preset promotion condition;
and calculating the commodity purchase probability of all the users based on the historical purchase data, and comparing all the commodity purchase probabilities to obtain the user with the highest commodity purchase probability.
2. The method of operating a smart vending machine as recited in claim 1, wherein the step of delivering the target smart vending machine to the target vending scenario, the step of the target smart vending machine collecting current vending environment data in real time being followed by the step of:
when a user purchases goods, the target intelligent vending machine obtains user voice;
and analyzing the user voice, capturing key information, and generating a corresponding payment two-dimensional code according to the key information.
3. The operation method of the intelligent vending machine according to claim 2, wherein when the user purchases goods, the target intelligent vending machine acquires user image information while acquiring user voice, performs comparative analysis on the user image information and historical user images in a database, and calls out a user name if the historical user images consistent with the user image information exist.
4. The operation method of the intelligent vending machine according to claim 3, wherein the step of acquiring the user image information while acquiring the user voice and comparing the user image information with the historical user image in the database for analysis when the user purchases the commodity comprises:
and if the historical user image consistent with the user image information does not exist, storing the user image information and the corresponding user name in the database.
5. The method of operating a smart vending machine as recited in claim 2, wherein the step of obtaining the voice of the user by the target smart vending machine when the user purchases the goods further comprises:
and inputting the user voice into a deep learning network model to obtain an answer voice, and calling out the answer voice.
6. The method of operating a smart vending machine as recited in claim 2, wherein the step of the target smart vending machine collecting current vending environment data in real time is followed by the step of:
analyzing the current selling environment data to obtain current scene information;
and displaying different expressions on a display screen carried by the target intelligent vending machine according to the current scene information.
7. The method of operating a smart vending machine as recited in claim 1, wherein the promotional modes include leasing, purchasing, and affiliation.
8. An operating system for a smart vending machine, comprising:
the system comprises a selling parameter acquisition module, a selling parameter acquisition module and a display module, wherein the selling parameter acquisition module is used for acquiring selling parameters of target commodities, and the selling parameters comprise selling scenes and corresponding audience crowds;
the selling parameter analyzing module is used for analyzing the selling parameters and formulating different commodity selling methods for the target intelligent vending machine according to different selling scenes;
the system comprises a popularization mode determining module, a display module and a display module, wherein the popularization mode determining module is used for acquiring a buyer demand parameter of a target intelligent vending machine and determining a popularization mode according to the buyer demand parameter;
the current selling environment data analysis module is used for putting the target intelligent vending machine to a target selling scene based on the popularization mode, the target intelligent vending machine collects current selling environment data in real time and transmits the current selling environment data to a preset analysis model so as to obtain all user information in the current environment;
the historical purchase data obtaining module is used for obtaining the historical purchase data of all users meeting the preset promotion condition if the user information meets the preset promotion condition;
and the commodity purchase probability comparison module is used for calculating the commodity purchase probabilities of all the users based on the historical purchase data, and comparing all the commodity purchase probabilities to obtain the user with the highest commodity purchase probability.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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| CN202111415744.6A CN114140195A (en) | 2021-11-25 | 2021-11-25 | Operation method and system of intelligent vending machine |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115150430A (en) * | 2022-06-20 | 2022-10-04 | 广东便捷神科技股份有限公司 | Automatic vending machine operation data acquisition system based on thing networking |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115150430A (en) * | 2022-06-20 | 2022-10-04 | 广东便捷神科技股份有限公司 | Automatic vending machine operation data acquisition system based on thing networking |
| CN115150430B (en) * | 2022-06-20 | 2023-06-23 | 广东便捷神科技股份有限公司 | Vending machine operation data acquisition system based on internet of things |
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