CN112328828B - System and method for designing image of store terminal - Google Patents
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Abstract
The invention discloses a marketplace terminal image design system, which comprises a server terminal, an input end, an output end, a client and a sales shelf, wherein the server terminal is connected with the input end; the input end comprises a camera module, an image reading module and a network data capturing module; the server terminal is connected with the input end; the camera module can quickly read the image and the commodity identification of the sold commodity and simultaneously input the image of the sold commodity; the image reading module carries out image processing according to the image recorded by the camera module to obtain specific information and commodity identification of the sold goods and sends the information and the commodity identification to the server terminal for storage; the network data grabbing module is communicated with the external Internet, and can intelligently grab current online red commodities and hot-sold commodities to form a recommended goods feeding list and send the recommended goods feeding list to the server terminal; and, the service terminal carries out big data analysis, rationally provides the shipment of commodity, commodity quality control to, for, seller provides better sales conditions, and more intelligent management market possesses the stable performance, and the control progress of stocking is accurate, and the precision is high, and manpower resources are practiced thrift in automatic control moreover, improve work efficiency.
Description
Technical Field
The invention relates to the field of big data portrayal, in particular to a system and a method for designing a terminal image of a store.
Background
With the development of network technology and information technology, online shopping is more and more favored by young people, and old people also overcome the obstacle of surfing the internet and put into the military of online shopping. In order to further improve the convenience and the convenience of shopping, people put eyes into the Internet of things. The term of the Internet of Things (Internet of Things) is generally accepted at home and abroad and is the earliest proposal in 1999 of the institute of RFID by professor Ashton of MIT Auto-ID center. In a same-name report published by the International Telecommunication Union (ITU) in 2005, the definition and scope of the internet of things have changed, the coverage is greatly expanded, and the internet of things based on the RFID technology is not referred to. At present, smart homes are just emerging, the core of the 1.0 era of the Internet of things is the technology, and most of domestic traditional manufacturers lack the development strength of soft and hard combination. The Internet of Things (Internet of Things) refers to the Ubiquitous (usb) end Devices (Devices) and Facilities (Facilities), including "internal intelligent" sensors, mobile terminals, industrial systems, building control systems, home intelligent Facilities, video monitoring systems, etc., and "external Enabled" (Enabled) Assets (Assets) such as RFID tags, "intelligent objects or animals" or "intelligent dust" (Mote) such as individuals and vehicles carrying wireless terminals, etc., and the Internet (Internet), private network (Extranet), and/or Internet (Internet) environment, where appropriate information security mechanisms are used to provide secure, controllable, and even personalized real-time online monitoring in various wireless and/or wired long-distance and/or short-distance communication networks (M2M), large-scale Integration (Grand Integration), and SaaS (cloud computing) based modes such as SaaS Internet, etc., and the Internet (Internet) environment, The management and service functions of positioning and tracing, alarm linkage, scheduling command, plan management, remote control, safety precaution, remote maintenance, online upgrade, statistical forms, decision support, a leader desktop (a centralized display Cockpit Dashboard) and the like realize the integration of ' management, control and camp ' of ' all things ' with high efficiency, energy conservation, safety and environmental protection '.
The Internet of things is an Internet of things covering everything in the world based on the computer Internet and constructed by utilizing technologies such as RFID, wireless data communication and the like. In this network, items (goods) can "communicate" with each other without human intervention. The essence of the method is that the radio frequency automatic identification (RFID) technology is utilized, and the automatic identification of articles (commodities) and the interconnection and sharing of information are realized through the computer internet.
RFID, however, is just one technology that enables an item to "speak" in the mouth. In the idea of the internet of things, the RFID tags store standard and interoperable information, the information is automatically collected to a central information system through a wireless data communication network to realize the identification of articles (commodities), and further, the information exchange and sharing are realized through an open computer network to realize the transparent management of the articles.
The concept of the Internet of things breaks through the traditional thinking before. The idea in the past has been to separate the physical infrastructure from the IT infrastructure: airports, roads, buildings on the one hand, and data centers, personal computers, broadband, etc. on the other hand. In the era of the internet of things, reinforced concrete and cables are integrated with chips and broadband into a unified infrastructure, so that the infrastructure is more like a new earth construction site, and the world runs on the infrastructure, wherein the infrastructure comprises economic management, production operation, social management and even personal life.
For people who often visit supermarkets/commercial circles, the navigation marks of the regular supermarkets only simply mark the approximate positions of food types or give map identification distribution of various articles, but do not have the positions of specific products, and customers may often want to know the positions of required brand products directly, if a convenient and fast query mode as that of online shopping can be provided, and a physical experience mode is provided, so that the shopping method is undoubtedly a very convenient and fast shopping mode.
In addition, although online shopping can provide a faster shopping service nowadays, since only a planar image of an item is provided in online shopping, there is a possibility of beautifying to some extent, and therefore, it may cause the last return of the item purchased online, which is a loss to a shopper or seller, and if a shopping environment is provided that can help the buyer to better understand the commodity and is more personally on the scene, the cost of the buyer and seller can be saved inevitably.
In addition, as other products such as food and medicine, information such as production places and origin places of the products is always important information which is concerned by consumers; on one hand, the method can help the enterprises in the origin to provide the geographic trademarks in the origin to implement protection, prevent the trademarks from being counterfeited maliciously, and the enterprises and products which are counterfeited with famous trademarks maliciously can be easily found, so that the method is very beneficial to consumers to examine information such as product quality and quality guarantee period. Since 2003, China has begun to apply advanced RFID technology to modern animal breeding and processing enterprises, and RFID real-time production monitoring and management systems have been developed. The system can monitor the whole production process in real time, automatically, accurately acquire relevant data of main production processes and key links such as health inspection, quarantine inspection and the like in real time, better meet quality supervision requirements, and properly solve the meat quality problem which often appears in the past market. In addition, the government supervision department can track and trace the source and the flow direction of the problem product in time through the effective monitoring product quality safety of the system, and standardize the production operation process of meat food enterprises, thereby effectively improving the quality safety of the meat food.
For a seller, the stocking is a difficult matter to handle, and too much stocking easily causes overstock of the goods, which not only can lead to the occupation of liquidity, but also can lead to the breakage of a seller fund chain and the expiration of the goods; if too few goods are purchased, the goods may be sold without goods, which is not favorable for the creation of public praise in the shopping mall and not good for the purchasing experience of customers. However, different commodities have different selling conditions at different periods, and the buyer cannot simply stock the commodities one by one, so that the stocking is troublesome.
Therefore, if a management system can be provided to help a store seller to more conveniently manage a store of a physical store, and to better plan services of goods on shelves, goods delivery and overdue goods off shelves, great convenience is provided for a store manager, however, at present, no corresponding technology exists. Therefore, a field terminal image design system and a market management method are provided.
Disclosure of Invention
The invention aims to provide a field terminal image design system and a market management method, which aim to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a system for designing images of a store terminal comprises a server terminal, an input end, an output end, a client and a sales shelf;
the input end comprises a camera module, an image reading module and a network data capturing module; the server terminal is connected with the input end; the camera module can quickly read the image and the commodity identification of the sold commodity and simultaneously input the image of the sold commodity; the image reading module carries out image processing according to the image recorded by the camera module to obtain specific information and commodity identification of the sold goods and sends the information and the commodity identification to the server terminal for storage; the network data grabbing module is communicated with the external Internet, and can intelligently grab current online red commodities and hot-sold commodities to form a recommended goods feeding list and send the recommended goods feeding list to the server terminal;
the service terminal comprises a big data analysis end and a database system, and the big data analysis end is in communication connection with the database system; the big data analysis end is connected with the input end to read data, and is also connected with the output end to output data;
the database system comprises a real-time commodity stock database, a calendar year data module and a real-time commodity sales data storage module; the real-time commodity stock database stores current commodity names, stock and traceability information; the real-time commodity sales data storage module stores the real-time sales condition of commodities, and the sales time and the sales number of the commodities recorded by the real-time commodity sales data storage module;
the big data analysis end also reads the data of the real-time commodity sales data storage module periodically, performs big data analysis, analyzes the sales conditions of different brands of the same commodity, replaces the sales conditions of the commodity and the related commodities, and sales volume monthly sales volume data; therefore, the purchasing preference of the customer on the package and the brand is analyzed, the sales figures of the commodities in the store are formed, the reasonable goods input quantity of the suitable package, the brand and various commodities is selected according to the preference of the customer by a goods input person, and meanwhile, the reasonable product characteristic and package can be improved for a manufacturer.
The output end comprises an information inquiry system and a display terminal, the output end is in signal connection with the server terminal, and the information inquiry system is used for providing access inquiry for a client through a standard web Services interface, a third-party application or an offline client;
the goods selling shelf comprises a goods containing shelf, a display panel, an inquiry module, an alarm module, an RFID label and a goods information two-dimensional code; the client can obtain the cargo information by scanning the RFID label or the cargo information two-dimensional code.
The selling shelves are in communication connection with the service terminal, so that the selling shelves can automatically send the selling information of the goods to a database system of the server terminal, and the database system can record the selling information of the goods on line in real time; meanwhile, the goods shelf can inquire the goods name, the production place and the remaining quantity of the goods and display the inquired information on the display panel of the goods shelf; the inquiry module is used for customers or tallying personnel to inquire the goods information;
the client can be connected with the server in a wireless signal connection mode, so that connection access and query during moving are realized.
Preferably, the big data analysis module obtains the commodity selling information of the store through the selling shelves, and performs big data analysis on the commodity selling information to form a commodity selling list, wherein the selling list comprises less last-month selling amount Q and monthly selling increment S, and meanwhile, the obtained stock on the goods shelves is M1, and the stock M2 of the stock list generates a commodity stocking amount M through analysis;
M=Q * (1+S)-(M1+M2);
and further analyze the information of stocking of all goods and form the inventory of stocking to can help the user to conveniently know the various goods circumstances of selling and need purchase which goods.
Preferably, the input end further reads the storefront of the store terminal and local market information (investigation), analyzes, and sets characteristics of types of goods sold by a proper seller, shelf arrangement and the like.
The electronic identification is RFID, bar code, two-dimensional code or code spraying.
Preferably, the historical year data module further stores monthly sales data of the commodities in the past historical year, and the big data module extracts the sales data of the historical year data module in the database, so that the sales volume in the month is obtained according to the historical year data, the expected sales growth percentage and the current sales condition, the required goods intake is obtained, and the goods intake is sent to the output end.
Preferably, the system further comprises an online shop decoration uploading system, and the online shop is processed by shooting images to obtain the online propaganda materials.
Preferably, the big data module further obtains current popular selling articles through the input end, and sends the selling article list and the goods feeding manufacturer to the output end, so that timely goods feeding is provided for the goods feeding personnel.
Preferably, the goods shelves are connected with the big data analysis module, so that the shelf quality guarantee period information of the goods sold is inquired, and the information of the overdue goods is prompted through the information of the alarm lamp, so that shelf managers can quickly clear the overdue goods, more convenient goods management off-shelf information is provided for the shelf managers, and the overdue goods sold is prevented from being punished by the industry and commerce bureau; meanwhile, the goods shelf can also provide information that the goods placement amount is too low, when the goods amount is too low and the goods need to be added, the goods shelf can light a yellow light to prompt the goods shelf tallying personnel to put up the corresponding goods lacking in time, so that the goods shelf can rapidly provide the tallying personnel information of putting up the goods and the information of putting down the goods, and the management is more intelligent and convenient.
Preferably, the big data analysis module can also automatically inquire the quality guarantee period information of the commodity, set alarm information which causes different levels according to the quality guarantee period of the commodity, and send first-level alarm information when the quality guarantee period of the commodity is over a half; when the commodity is about 10 days before the shelf life, secondary alarm information is sent out; when the commodity reaches 1 day before the shelf life, first-level alarm information is sent out; when the commodity is overdue, the alarm is lighted in red to remind the customer that the commodity is not needed to be purchased, and meanwhile, the tally staff can put the commodity off the shelf as soon as possible.
Preferably, the big data analysis module reads data of the historical data module and the real-time commodity sales data storage module in the last year; through analyzing the commodity sales data of the historical year data module, a monthly sales curve of each type of commodity is obtained, the data of the real-time commodity sales data storage module in the last year is read, the real-time sales curve which recently utilizes the last year is obtained through analysis, so that the monthly sales curve is used, the real-time sales curve in the last year is combined, the quantity of the commodities sold in the subsequent month is expected to be estimated, and expected sales information generated by an expected sales commodity list and the data is sent to the data output end to be output.
Preferably, the article identification includes: the commodity information of origin, production date, transfer and storage is used for tracing the commodity.
Preferably, the traceability information comprises the raw material source, the production and processing place, the information and batch number of each stage in the process of warehousing, transportation and sale of the commodity and external traceability transaction information;
in addition, on the one hand, the application also provides a store management method based on the store terminal image design system, which comprises the store terminal image design system; it is characterized in that the preparation method is characterized in that,
the input end reads the goods feeding information, the inventory information and the goods shelf information; meanwhile, a special nearest hot sales product and a net red product are captured by a network data capture module according to an input end, the sales shelf forms sales information and sends out necessary alarm signals according to the sales condition of the commodities, meanwhile, the big data analysis end analyzes the commodity sales information data and figures of commodities in a regular store, the store management is formed, and a corresponding store data report is made.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the most reasonable seller product portrait is constructed according to company products and existing products, the display capacity of display design is improved, and meanwhile, the seller is convenient to arrange marketplaces and commodities appropriately.
2. The network data grabbing module can grab current hot commodities quickly, so that a store terminal can acquire business opportunities quickly, the earlier business opportunities of the store terminal are provided, the intelligent automatic function is achieved, the store is reminded of selling goods better, and meanwhile, the store backlog is reduced, so that the market fund and commodity turnover rate are improved.
3. The image design system can automatically convert the commodity design of the online store and the off-line store, so that the commodities of the online store and the physical store can better meet the buying and selling requirements.
4. The invention reasonably provides the goods feeding and quality management by utilizing a big data analysis method, thereby providing better sale condition for sellers and more intelligently managing markets.
Drawings
FIG. 1 is a schematic diagram of the overall structure of a terminal image design system of a marketplace according to the present invention;
FIG. 2 is a schematic diagram of an input end structure according to the present invention;
fig. 3 is a schematic diagram of a server-side composition structure according to the present invention.
In the figure: 1. a service terminal; 2. a vending stand module; 3. an input end; 4. a client; 5. an output end; 6. a camera module; 7. an image reading module; 8. a network data capturing module; 9. a big data analysis end; 10. a database system; 11. a real-time commodity inventory database; 12. a calendar year data module; 13. and a real-time commodity sales data storage module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a market terminal image design system comprises a server terminal 1, an input end 3, an output end 5, a client 4 and a goods shelf module 2;
the input end 3 comprises a camera module 6, an image reading module 7 and a network data capturing module 8; the server terminal 1 is connected with the input end 3; the camera module can quickly read the image and the commodity identification of the sold commodity and input the image of the sold commodity; the image reading module carries out image processing according to the image recorded by the camera module to obtain specific information and commodity identification of the sold goods and sends the information and the commodity identification to the server terminal for storage; the network data grabbing module is communicated with the external Internet, and can intelligently grab current online red commodities and hot-sold commodities to form a recommended goods feeding list and send the recommended goods feeding list to the server terminal;
the service terminal comprises a big data analysis end and a database system, and the big data analysis end is in communication connection with the database system; the big data analysis end is connected with the input end to read data, and is also connected with the output end to output data;
the database system comprises a real-time commodity stock database, a calendar year data module and a real-time commodity sales data storage module; the real-time commodity stock database stores current commodity names, stock and traceability information; the real-time commodity sales data storage module stores the real-time sales condition of commodities, and the sales time and the sales number of the commodities recorded by the real-time commodity sales data storage module;
the big data analysis end also reads the data of the real-time commodity sales data storage module periodically, performs big data analysis, analyzes the sales conditions of different brands of the same commodity, replaces the sales conditions of the commodity and the related commodities, and sales volume monthly sales volume data; therefore, the purchasing preference of the customer on the package and the brand is analyzed, the sales figures of the commodities in the store are formed, the reasonable goods input quantity of the suitable package, the brand and various commodities is selected according to the preference of the customer by a goods input person, and meanwhile, the reasonable product characteristic and package can be improved for a manufacturer.
The output end comprises an information inquiry system and a display terminal, the output end is in signal connection with the server terminal, and the information inquiry system is used for providing access inquiry for a client through a standard web Services interface, a third-party application or an offline client;
the goods selling shelf comprises a goods containing shelf, a display panel, an inquiry module, an alarm module, an RFID label and a goods information two-dimensional code; the client can obtain the cargo information by scanning the RFID label or the cargo information two-dimensional code.
The goods selling shelf is in communication connection with the service terminal, so that the goods selling shelf can automatically send the selling information of the goods to the database system of the server terminal, and the database system can record the selling information of the goods in real time on line; meanwhile, the goods shelf can inquire the goods name, the production place and the remaining quantity of the goods and display the inquired information on the display panel of the goods shelf; the inquiry module is used for customers or tallying personnel to inquire the goods information;
the client can be connected with the server in a wireless signal connection mode, so that connection access and query during moving are realized.
Preferably, the big data analysis module obtains the commodity selling information of the store through the selling shelves, and performs big data analysis on the commodity selling information to form a commodity selling list, wherein the selling list comprises less last-month selling amount Q and monthly selling increment S, and meanwhile, the obtained stock on the goods shelves is M1, and the stock M2 of the stock list generates a commodity stocking amount M through analysis;
M=Q * (1+S)-(M1+M2);
and further analyze the information of stocking of all goods and form the inventory of stocking to can help the user to conveniently know the various goods circumstances of selling and need purchase which goods.
Preferably, the input end further reads the storefront of the store terminal and local market information (investigation), analyzes, and sets characteristics of types of goods sold by a proper seller, shelf arrangement and the like.
The electronic identification is RFID, bar code, two-dimensional code or code spraying.
Preferably, the historical year data module further stores monthly sales data of the commodities in the past historical year, and the big data module extracts the sales data of the historical year data module in the database, so that the sales volume in the month is obtained according to the historical year data, the expected sales growth percentage and the current sales condition, the required goods intake is obtained, and the goods intake is sent to the output end.
Preferably, the system further comprises an online shop decoration uploading system, and the online shop is processed by shooting images to obtain the online propaganda materials.
Preferably, the big data module further obtains current popular selling articles through the input end, and sends the selling article list and the goods feeding manufacturer to the output end, so that timely goods feeding is provided for the goods feeding personnel.
Preferably, the goods shelves are connected with the big data analysis module, so that the shelf quality guarantee period information of the goods sold is inquired, and the information of the overdue goods is prompted through the information of the alarm lamp, so that shelf managers can quickly clear the overdue goods, more convenient goods management off-shelf information is provided for the shelf managers, and the overdue goods sold is prevented from being punished by the industry and commerce bureau; meanwhile, the goods shelf can also provide information that the goods placement amount is too low, when the goods amount is too low and the goods need to be added, the goods shelf can light a yellow light to prompt the goods shelf tallying personnel to put up the corresponding goods lacking in time, so that the goods shelf can rapidly provide the tallying personnel information of putting up the goods and the information of putting down the goods, and the management is more intelligent and convenient.
Preferably, the big data analysis module can also automatically inquire the quality guarantee period information of the commodity, set alarm information which causes different levels according to the quality guarantee period of the commodity, and send first-level alarm information when the quality guarantee period of the commodity is over a half; when the commodity is about 10 days before the shelf life, secondary alarm information is sent out; when the commodity reaches 1 day before the shelf life, first-level alarm information is sent out; when the commodity is overdue, the alarm is lighted in red to remind the customer that the commodity is not needed to be purchased, and meanwhile, the tally staff can put the commodity off the shelf as soon as possible.
Preferably, the big data analysis module reads data of the data module in the past year and the real-time commodity sales data storage module in the last year; through analyzing the commodity sales data of the historical year data module, a monthly sales curve of each type of commodity is obtained, the data of the real-time commodity sales data storage module in the last year is read, the real-time sales curve which recently utilizes the last year is obtained through analysis, so that the monthly sales curve is used, the real-time sales curve in the last year is combined, the quantity of the commodities sold in the subsequent month is expected to be estimated, and expected sales information generated by an expected sales commodity list and the data is sent to the data output end to be output.
Preferably, the article identification includes: the commodity information of origin, production date, transfer and storage is used for tracing the commodity.
Preferably, the traceability information comprises the raw material source, the production and processing place, the information and batch number of each stage in the process of warehousing, transportation and sale of the commodity and external traceability transaction information;
in addition, on the one hand, the application also provides a store management method based on the store terminal image design system, which comprises the store terminal image design system; it is characterized in that the preparation method is characterized in that,
the input end reads the goods feeding information, the inventory information and the goods shelf information; meanwhile, a special nearest hot sales product and a net red product are captured by a network data capture module according to an input end, the sales shelf forms sales information and sends out necessary alarm signals according to the sales condition of the commodities, meanwhile, the big data analysis end analyzes the commodity sales information data and figures of commodities in a regular store, the store management is formed, and a corresponding store data report is made.
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.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A system for designing images of a store terminal comprises a server terminal, an input end, an output end, a client and a sales shelf; it is characterized in that;
the input end comprises a camera module, an image reading module and a network data capturing module; the server terminal is connected with the input end; the camera module can quickly read the image and the commodity identification of the sold commodity and input the image of the sold commodity; the image reading module carries out image processing according to the image recorded by the camera module to obtain specific information and commodity identification of the sold goods and sends the information and the commodity identification to the server terminal for storage; the network data grabbing module is communicated with the external Internet, and can intelligently grab current online red commodities and hot-sold commodities to form a recommended goods feeding list and send the recommended goods feeding list to the server terminal;
the server terminal comprises a big data analysis end and a database system, and the big data analysis end is in communication connection with the database system; the big data analysis end is connected with the input end to read data, and is also connected with the output end to output data;
the database system comprises a real-time commodity stock database, a calendar year data module and a real-time commodity sales data storage module; the real-time commodity stock database stores current commodity names, stock and traceability information; the real-time commodity sales data storage module stores the real-time sales condition of commodities, and the sales time and the sales number of the commodities recorded by the real-time commodity sales data storage module;
the big data analysis end also reads the data of the real-time commodity sales data storage module periodically, performs big data analysis, analyzes the sales conditions of different brands of the same commodity, replaces the sales conditions of the commodity and the related commodities, and sales volume monthly sales volume data; therefore, the purchasing preference of the customer on the package and the brand is analyzed, a sales portrait of the commodity in a store is formed, the reasonable goods input quantity of the proper package, the brand and various commodities is selected by the goods input personnel according to the preference of the customer, and meanwhile, the product characteristics and the package can be reasonably improved by the manufacturer; the reasonable goods input amount of various commodities is obtained by the following method: acquiring commodity selling information of a store through the goods shelves, performing big data analysis on the commodity selling information to form a commodity selling list, wherein the selling list comprises a last-month selling amount Q and a monthly selling increment S, and meanwhile, acquiring the stock of the goods on the goods shelves as M1 and the stock of an inventory M2, and generating a commodity stocking amount M through analysis;
the output end comprises an information inquiry system and a display terminal, the output end is in signal connection with the server terminal, and the information inquiry system is used for providing access inquiry for a client through a standard web Services interface, a third-party application or an offline client;
the goods selling shelf comprises a goods containing shelf, a display panel, an inquiry module, an alarm module, an RFID label and a goods information two-dimensional code; the client can obtain the cargo information by scanning the RFID label or the cargo information two-dimensional code;
the goods selling shelf is in communication connection with the server terminal, so that the goods selling shelf can automatically send the selling information of the goods to the database system of the server terminal, and the database system can record the selling information of the goods in real time on line; meanwhile, the goods shelf can inquire the goods name, the production place and the remaining quantity of the goods and display the inquired information on the display panel of the goods shelf; the inquiry module is used for customers or tallying personnel to inquire the goods information;
the client can be connected with the server terminal in a wireless signal connection mode, so that connection access and query during movement are realized; the alarm module is an alarm lamp, the goods selling shelf is connected with the big data analysis end, so that the shelf quality guarantee period information of the goods sold on the shelf is inquired, the information of the overdue goods is prompted through the information of the alarm lamp, the shelf manager can quickly clear the overdue goods, more convenient goods management off-shelf information is provided for the shelf manager, the overdue goods are prevented from being sold, and punished by the industry and commerce bureau; meanwhile, the goods shelf can also provide information that the goods placement amount is too low, and when the goods quantity is too low and the goods need to be added, the goods shelf can turn on a yellow light to prompt goods shelf tally staff to put goods lacking correspondingly on the shelf in time; the big data analysis end can also automatically inquire the quality guarantee period information of the commodity, alarm information of different levels is set according to the quality guarantee period of the commodity, and when the quality guarantee period of the commodity is over half of the time, first-level alarm information is sent out; when the commodity is about 10 days before the shelf life, secondary alarm information is sent out; when the commodity reaches 1 day before the shelf life, first-level alarm information is sent out; when the commodity is overdue, the alarm is turned on to remind the customer that the commodity needs not to be purchased, and meanwhile, tallying personnel can put the commodity off the shelf as soon as possible.
2. The marketplace terminal image design system according to claim 1, wherein:
the big data analysis end obtains commodity selling information of a store through the goods shelves and conducts big data analysis on the commodity selling information to form a commodity selling list, the selling list comprises a last-month selling amount Q and a monthly selling increment S, meanwhile, the stock on the goods shelves of the commodities is M1, the stock of the stock bill is M2, and the commodity stocking amount M is generated through analysis;
M=Q*(1+S)-(M1+M2);
and further analyze the information of stocking of all goods and form the inventory of stocking to can help the user to conveniently know the various goods circumstances of selling and need purchase which goods.
3. The marketplace terminal image design system according to claim 1, wherein: the database module further comprises a historical year data module, the historical year data module further stores monthly sales data of commodities in previous historical years, and the big data analysis end extracts sales data of the historical year data module of the database, so that the sales volume of the month is obtained according to the historical year data, the expected sales growth percentage and the current sales situation, the required goods intake is obtained, and the goods intake is sent to the output end.
4. The marketplace terminal image design system according to claim 1, wherein: the big data analysis end also obtains current popular selling articles through the input end, and sends the selling article list and the goods feeding manufacturer to the output end, thereby providing timely goods feeding for the goods feeding personnel.
5. The marketplace terminal image design system according to claim 1, wherein: the online shop decoration uploading system is used for obtaining the online propaganda materials by shooting images, processing the online propaganda materials to form an online shop and forming synchronous sale and management of the online shop and the physical shop.
6. The marketplace terminal image design system according to claim 1, wherein: the method is characterized in that: the commodity identification includes: name of the goods, brand, category, packaging, origin of the goods, date of manufacture and shelf life information.
7. The marketplace terminal image design system according to claim 1, wherein: the source tracing information comprises the raw material source, the production and processing places, the information and batch numbers of all stages in the processes of storage, transportation and sale of the commodities and external tracing transaction information.
8. A store management method based on a store terminal image design system, comprising the store terminal image design system of any one of claims 1-7; it is characterized in that the preparation method is characterized in that,
the input end reads the goods feeding information, the inventory information and the goods shelf information; and meanwhile, the big data analysis end analyzes the commodity sales information data and regularly draws pictures of the commodities in the store to form the management of the store, and produces a corresponding store data report.
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