CN110866810A - Intelligent retail system - Google Patents
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- CN110866810A CN110866810A CN201911128388.2A CN201911128388A CN110866810A CN 110866810 A CN110866810 A CN 110866810A CN 201911128388 A CN201911128388 A CN 201911128388A CN 110866810 A CN110866810 A CN 110866810A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
Abstract
The invention discloses an intelligent retail system which simulates and displays the fitting effect of a customer, and accurately recommends commodities to the customer in combination with collected customer preference and habits for the customer to make a better choice. The technical scheme is as follows: the system comprises terminal equipment, an information acquisition module, an intelligent recommendation module, a virtual fitting module and an environment regulation module, wherein the terminal equipment acquires and plays information; the information acquisition module acquires the physical characteristics of a customer and the wearing characteristics of the clothing, and captures the attention content of the customer to the commodities in the store; the intelligent recommendation module analyzes style preference of the customer and provides a shopping recommendation scheme for the customer according to the collected customer information and the wearing data information on the Internet; the virtual fitting module displays the fitting effect of the commodity style selected by the customer in a virtual image mode according to the physical and morphological characteristics of the customer; the environment adjusting module analyzes the preference of the customer to the environment, controls the terminal equipment in the store to build the preference environment of the customer, and adjusts according to the customer reaction.
Description
Technical Field
The invention relates to an artificial intelligence technology, in particular to an intelligent retail system applied to the field of retail.
Background
Because the development and the maturity of the e-commerce platform utilize the information of customers, combine behaviors such as browsing to form an intelligent recommendation system, and the convenience of express delivery, online shopping gradually becomes the consumption habit of people, and the retail industry is facing huge impact, on the one hand, online shopping is more convenient, and the intelligent degree of the e-commerce system is gradually promoted, and on the other hand, the cost of each link of offline retail is increased, and online and offline retail become sharp contrast. Therefore, there is a strong need in the off-line retail industry to utilize intelligent technologies to improve consumer experience and satisfaction and to become more customer-aware, thereby increasing sales revenue and customer viscosity.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
The invention aims to solve the problems and provides an intelligent retail system which can simulate or display the try-on effect of a customer through an intelligent facility and can recommend commodities to the customer more accurately by combining the collected customer preference and consumption habits so as to make better choices for the customer.
The technical scheme of the invention is as follows: the invention discloses an intelligent retail system, which comprises terminal equipment, an information acquisition module and an intelligent recommendation module, wherein the intelligent retail system comprises:
the terminal equipment comprises terminal equipment for collecting and playing information including images and voices;
the information acquisition module is connected with the terminal equipment and is used for acquiring the physical characteristics of the customer and the wearing characteristics of the clothing and capturing the attention content of the customer to the commodities in the store;
and the intelligent recommendation module is connected with the information acquisition module and used for analyzing style preference of the customer and providing a shopping recommendation scheme for the customer according to the acquired customer information and the wearing and taking data information on the Internet.
According to an embodiment of the intelligent retail system of the present invention, the terminal devices include, but are not limited to: the device comprises a camera with a detection and identification function, a fitting mirror, a fitting room, an earphone, a sound and a lamp.
According to an embodiment of the intelligent retail system of the present invention, the physical characteristics of the customer collected by the information collecting device include, but are not limited to: the height, age range, body type, skin color and hair color of the customer; the acquired fit features include, but are not limited to: brand, fabric, color of the apparel; the captured content of interest includes, but is not limited to: type, style, color of the goods in the store.
According to one embodiment of the intelligent retail system, the intelligent recommendation module is configured to assign weights to collected customer information categories, infer customer style preference, consumption level and consumption habits through a universal intelligent algorithm, obtain a recommendation scheme by combining color preference, personal preference and automatically collected big data information provided by customers, and feed the recommendation scheme back to a buyer/seller or to a terminal device in a store through various modes including characters, voice, images and recognition.
According to an embodiment of the intelligent retail system of the present invention, the big data information collected on the internet includes, but is not limited to: popular match, seasonal style, new product of famous brand or series of products of the same company.
According to an embodiment of the intelligent retail system, the intelligent recommendation module is further configured to combine the selection modes and tendencies of other customers in the physical stores, and connect with the intelligent retail system in other physical stores through the internet and learn each other.
In accordance with an embodiment of the intelligent retail system of the present invention, the system further comprises:
the virtual fitting module is connected with the information acquisition module and the intelligent recommendation module, and the fitting effect of the commodity style selected by the customer is displayed in an avatar mode according to the physical and morphological characteristics of the customer.
In accordance with an embodiment of the intelligent retail system of the present invention, the system further comprises:
the environment adjusting module is connected with the information acquisition module, analyzes the hobby of the customer to the environment, controls the terminal equipment in the store to build the hobby environment of the customer, and adjusts according to the reaction of the customer.
Compared with the prior art, the invention has the following beneficial effects: the intelligent retail system collects the characteristics of customers who consume in the store, intelligently analyzes the style preference of the customers, realizes accurate recommendation, improves the consumption experience and satisfaction of the customers, increases the sales income, and improves the brand recognition degree. Meanwhile, the try-on effect of the customer can be simulated or displayed through the intelligent facility, so that the customer can make a better choice.
Drawings
The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
FIG. 1 illustrates a schematic diagram of one embodiment of the intelligent retail system of the present invention.
Fig. 2 shows a schematic diagram of another embodiment of the intelligent retail system of the present invention.
Fig. 3 shows a schematic diagram of a third embodiment of the intelligent retail system of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only exemplary and should not be construed as imposing any limitation on the scope of the present invention.
Fig. 1 shows the principle of an embodiment of the intelligent retail system of the present invention, please refer to fig. 1, the intelligent retail system of the present embodiment includes a terminal device, an information collection module, and an intelligent recommendation module.
The terminal device is used for collecting and playing information including images and voice, and the terminal device includes but is not limited to: cameras in stores, fitting mirrors, fitting rooms, earphones worn by salespeople/shopping guides, music playing devices in stores, color control devices (such as various decorative lamps), and the like.
The information acquisition module is used for acquiring the physical characteristics of the height, age range, body type, skin color, hair color and the like of the customer through a plurality of cameras with intelligent detection and identification functions in the store, acquiring the wearing characteristics of the clothing, brand of shoes and hats, fabric, color and the like, and capturing the attention contents of the customer such as commodity type, style, color and the like in the store.
And the intelligent recommendation module is connected with the information acquisition module, and analyzes style preference of the customer and provides a shopping recommendation scheme for the customer according to the acquired customer information and the wearing and taking data information on the Internet.
The intelligent recommendation module is configured to assign weights to collected customer information categories, infer customer style preference, consumption level, consumption habits and the like through a general intelligent algorithm, obtain a recommendation scheme by combining color preference, personal preference and big data information automatically collected on the internet provided by customers, and feed the recommendation scheme back to a buyer/salesman or to in-store terminal equipment including but not limited to a fitting mirror, an interactive screen in a fitting room and the like through characters, voice, images, identification and the like, wherein the big data information automatically collected on the internet includes but not limited to: popular match, seasonal style, new products released by known brands, or series products of the company and the like.
In addition, the intelligent recommendation module is also combined with the selection modes and tendencies of other customers in the physical store, is connected with the intelligent retail system in other stores through the Internet and learns mutually, so that the learning process is accelerated, and the accuracy of the recommendation scheme is improved.
Fig. 2 shows the principle of another embodiment of the intelligent retail system of the present invention, please refer to fig. 2, the intelligent retail system of this embodiment includes a terminal device, an information collecting module, an intelligent recommending module, and a virtual fitting module.
The terminal device is used for collecting and playing information including images and voice, and the terminal device includes but is not limited to: cameras in stores, fitting mirrors, fitting rooms, earphones worn by salespeople/shopping guides, music playing devices in stores, color control devices (such as various decorative lamps), and the like.
The information acquisition module is used for acquiring the physical characteristics of the height, age range, body type, skin color, hair color and the like of the customer through a plurality of cameras with intelligent detection and identification functions in the store, acquiring the wearing characteristics of the clothing, brand of shoes and hats, fabric, color and the like, and capturing the attention contents of the customer such as commodity type, style, color and the like in the store.
And the intelligent recommendation module is connected with the information acquisition module, and analyzes style preference of the customer and provides a shopping recommendation scheme for the customer according to the acquired customer information and the wearing and taking data information on the Internet.
The intelligent recommendation module is configured to assign weights to collected customer information categories, infer customer style preference, consumption level, consumption habits and the like through a general intelligent algorithm, obtain a recommendation scheme by combining color preference, personal preference and big data information automatically collected on the internet provided by customers, and feed the recommendation scheme back to a buyer/salesman or to in-store terminal equipment including but not limited to a fitting mirror, an interactive screen in a fitting room and the like through characters, voice, images, identification and the like, wherein the big data information automatically collected on the internet includes but not limited to: popular match, seasonal style, new products released by known brands, or series products of the company and the like.
In addition, the intelligent recommendation module is also combined with the selection modes and tendencies of other customers in the physical store, is connected with the intelligent retail system in other stores through the Internet and learns mutually, so that the learning process is accelerated, and the accuracy of the recommendation scheme is improved.
The virtual fitting module is connected with the information acquisition module and the intelligent recommendation module, and the fitting effect of the commodity style selected by the customer is displayed in an avatar mode according to the physical and morphological characteristics of the customer.
The virtual fitting module displays the fitting (fitting, coating, and the like) effect of the commodity style to be selected by the customer through the virtual image according to the actual fitting (fitting, coating, and the like) effect of the customer and the partial body characteristics of the customer such as skin color, and the like, so that the sense of reality of the customer experience is improved, and the customer can make a better choice.
Fig. 3 shows the principle of a third embodiment of the intelligent retail system of the present invention, please refer to fig. 3, the intelligent retail system of this embodiment includes a terminal device, an information collecting module, an intelligent recommending module, a virtual fitting module, and an environment adjusting module.
The terminal device is used for collecting and playing information including images and voice, and the terminal device includes but is not limited to: cameras in stores, fitting mirrors, fitting rooms, earphones worn by salespeople/shopping guides, music playing devices in stores, color control devices (such as various decorative lamps), and the like.
The information acquisition module is used for acquiring the physical characteristics of the height, age range, body type, skin color, hair color and the like of the customer through a plurality of cameras with intelligent detection and identification functions in the store, acquiring the wearing characteristics of the clothing, brand of shoes and hats, fabric, color and the like, and capturing the attention contents of the customer such as commodity type, style, color and the like in the store.
And the intelligent recommendation module is connected with the information acquisition module, and analyzes style preference of the customer and provides a shopping recommendation scheme for the customer according to the acquired customer information and the wearing and taking data information on the Internet.
The intelligent recommendation module is configured to assign weights to collected customer information categories, infer customer style preference, consumption level, consumption habits and the like through a general intelligent algorithm, obtain a recommendation scheme by combining color preference, personal preference and big data information automatically collected on the internet provided by customers, and feed the recommendation scheme back to a buyer/salesman or to in-store terminal equipment including but not limited to a fitting mirror, an interactive screen in a fitting room and the like through characters, voice, images, identification and the like, wherein the big data information automatically collected on the internet includes but not limited to: popular match, seasonal style, new products released by known brands, or series products of the company and the like.
In addition, the intelligent recommendation module is also combined with the selection modes and tendencies of other customers in the physical store, is connected with the intelligent retail system in other stores through the Internet and learns mutually, so that the learning process is accelerated, and the accuracy of the recommendation scheme is improved.
The virtual fitting module is connected with the information acquisition module and the intelligent recommendation module, and the fitting effect of the commodity style selected by the customer is displayed in an avatar mode according to the physical and morphological characteristics of the customer.
The virtual fitting module displays the fitting (fitting, coating, and the like) effect of the commodity style to be selected by the customer through the virtual image according to the actual fitting (fitting, coating, and the like) effect of the customer and the partial body characteristics of the customer such as skin color, and the like, so that the sense of reality of the customer experience is improved, and the customer can make a better choice.
The environment adjusting module is connected with the information collecting module, deduces the preference of a customer to the environment (for example, including environment music and decorative colors), controls the terminal equipment in the store to build the environment of the preference of the customer, and adjusts according to the real-time reaction of the customer so as to attract the attention of the customer, increase the staying time in the store and improve the experience.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disc), as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disks) usually reproduce data magnetically, while discs (discs) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The utility model provides an intelligence retail system, its characterized in that includes terminal equipment, information acquisition module, intelligent recommendation module, wherein:
the terminal equipment comprises terminal equipment for collecting and playing information including images and voices;
the information acquisition module is connected with the terminal equipment and is used for acquiring the physical characteristics of the customer and the wearing characteristics of the clothing and capturing the attention content of the customer to the commodities in the store;
and the intelligent recommendation module is connected with the information acquisition module and used for analyzing style preference of the customer and providing a shopping recommendation scheme for the customer according to the acquired customer information and the wearing and taking data information on the Internet.
2. The intelligent retail system of claim 1, wherein the end devices include, but are not limited to: the device comprises a camera with a detection and identification function, a fitting mirror, a fitting room, an earphone, a sound and a lamp.
3. The intelligent retail system of claim 1, wherein the physical characteristics of the customer collected by the information collection device include, but are not limited to: the height, age range, body type, skin color and hair color of the customer; the acquired fit features include, but are not limited to: brand, fabric, color of the apparel; the captured content of interest includes, but is not limited to: type, style, color of the goods in the store.
4. The intelligent retail system of claim 1, wherein the intelligent recommendation module is configured to assign weights to the collected customer information categories, infer customer style preferences, consumption levels, and consumption habits through a general intelligent algorithm, derive recommendations in conjunction with customer-provided color preferences, personal preferences, and automatically collected big data information on the internet, and feed the recommendations back to the shopper/seller or to the in-store terminal devices in a variety of ways including text, voice, image, recognition.
5. The intelligent retail system of claim 4, wherein the big data information collected over the internet includes but is not limited to: popular match, seasonal style, new product of famous brand or series of products of the same company.
6. The intelligent retail system of claim 4, wherein the intelligent recommendation module is further configured to combine the selection and trends of other customers in the brick-and-mortar store and to connect to and learn from the intelligent retail system in other brick-and-mortar stores via the internet.
7. The intelligent retail system of claim 1, further comprising:
the virtual fitting module is connected with the information acquisition module and the intelligent recommendation module, and the fitting effect of the commodity style selected by the customer is displayed in an avatar mode according to the physical and morphological characteristics of the customer.
8. The intelligent retail system of claim 1, further comprising:
the environment adjusting module is connected with the information acquisition module, analyzes the hobby of the customer to the environment, controls the terminal equipment in the store to build the hobby environment of the customer, and adjusts according to the reaction of the customer.
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| CN201911128388.2A CN110866810A (en) | 2019-11-18 | 2019-11-18 | Intelligent retail system |
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