CN117350633A - Inventory replenishment early warning system for automatic wine sales terminal - Google Patents
Inventory replenishment early warning system for automatic wine sales terminal Download PDFInfo
- Publication number
- CN117350633A CN117350633A CN202311424512.6A CN202311424512A CN117350633A CN 117350633 A CN117350633 A CN 117350633A CN 202311424512 A CN202311424512 A CN 202311424512A CN 117350633 A CN117350633 A CN 117350633A
- Authority
- CN
- China
- Prior art keywords
- commodity
- goods
- sales terminal
- automatic
- commodities
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 claims abstract description 44
- 238000005457 optimization Methods 0.000 claims abstract description 15
- 230000011664 signaling Effects 0.000 claims description 26
- 238000004458 analytical method Methods 0.000 claims description 21
- 238000000034 method Methods 0.000 claims description 15
- 230000002354 daily effect Effects 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 12
- 230000001502 supplementing effect Effects 0.000 claims description 12
- 238000012360 testing method Methods 0.000 claims description 12
- 230000003203 everyday effect Effects 0.000 claims description 10
- 238000006386 neutralization reaction Methods 0.000 claims description 9
- 238000012549 training Methods 0.000 claims description 8
- 230000005856 abnormality Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000005611 electricity Effects 0.000 claims description 6
- 230000003472 neutralizing effect Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 description 4
- 239000013589 supplement Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/004—Restocking arrangements therefor
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F9/00—Details other than those peculiar to special kinds or types of apparatus
- G07F9/02—Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus
- G07F9/026—Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus for alarm, monitoring and auditing in vending machines or means for indication, e.g. when empty
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Accounting & Taxation (AREA)
- Game Theory and Decision Science (AREA)
- Finance (AREA)
- Educational Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an inventory replenishment early warning system for an automatic wine sales terminal, which relates to the technical field of automatic sales terminals and is used for solving the problems that different types of wine commodities cannot be placed and optimized according to sales conditions when the automatic wine sales terminal is subjected to inventory replenishment in the prior art, and management personnel replenishment frequency is high due to insufficient information in early warning; according to the invention, the sales conditions of different types of wine commodities in the automatic sales terminal can be monitored through the optimization module, and the quantity and layout of the wine commodities in different types which are required to be placed are analyzed by utilizing the monitoring data, so that a new placement rule is established, the automatic sales terminal placed at different positions is adapted, the sales amount is improved, and meanwhile, frequent replenishment of replenishment staff can be avoided.
Description
Technical Field
The invention relates to the technical field of automatic sales terminals, in particular to an inventory replenishment early warning system for an automatic wine sales terminal.
Background
Wine sales have become an important area in commercial sales in modern society. The vending machine is also widely used for wine sales as a quick and convenient sales way. The automatic sales terminal can be placed in various places such as markets, supermarkets, stations, airports and the like, and provides convenience for people, so that people can purchase required commodities at any time and any place. However, automatic sales terminals often face problems of under-stocking or over-stocking due to unstable sales of products and difficult maintenance. This problem has a great impact both on the user and on the operator.
In the prior art, the inventory replenishment for the wine automatic sales terminal is usually only a notification of simply performing inventory replenishment for management staff, but the inventory replenishment for the wine automatic sales terminal cannot be optimized according to sales conditions for different types of wine commodities, and the inventory replenishment frequency of the management staff is high due to insufficient information in early warning, so that manpower is wasted, and therefore, the inventory replenishment early warning system for the wine automatic sales terminal is designed.
Disclosure of Invention
The invention aims to solve the problems that in the prior art, when inventory replenishment is carried out on an automatic wine sales terminal, different types of wine commodities cannot be placed and optimized according to sales conditions, and in early warning, management personnel replenishment frequency is high due to insufficient information, and provides an inventory replenishment early warning system for the automatic wine sales terminal.
The aim of the invention can be achieved by the following technical scheme:
an inventory replenishment early warning system for an automatic wine sales terminal, comprising:
the commodity determining module is used for determining commodity categories in the automatic sales terminal;
the allowance determining module is used for detecting the allowance of various commodities in the automatic sales terminal;
the commodity quantity analysis module is used for receiving and analyzing various commodity allowance data in the allowance determination module;
acquiring real-time allowance of various commodities, acquiring each shipment time point of the various commodities, setting a plurality of preset time periods according to each shipment time point of the various commodities, calculating the quantity of shipment time points of the various commodities in each time period, and calculating the average value of the quantity of shipment time points in each time period to obtain shipment frequency of the various commodities;
calculating the total shipment frequency of all commodities through a summation calculation method, and calculating the duty ratio of the shipment frequency of each commodity to the total shipment frequency of all commodities respectively;
determining the arrangement planning in each goods channel in the automatic sales terminal according to the total frequency ratio of goods output of each type of goods;
the early warning module is used for receiving the commodity supplementing signaling generated by the commodity quantity analysis module and carrying out commodity supplementing warning on commodity supplementing personnel;
the optimizing module is used for receiving the optimizing signaling generated by the commodity quantity analyzing module and re-distributing commodity placement in the automatic sales terminal;
after receiving the optimizing signaling, acquiring the quantity and layout of the goods in the goods quantity analysis module and placed by various goods after the goods are neutralized, and sending the placement plan to an optimizing personnel terminal;
the placement planning comprises the placement of the quantity of the goods placed on each goods channel in the automatic sales terminal and the neutralization layout of the quantity of the goods after optimization;
specifically, after optimization is completed, the automatic sales terminal monitors the commodity type at the forefront side in each commodity channel in real time through monitoring equipment, and automatically changes commodity names and prices corresponding to the commodity types according to the commodity types so as to be purchased by customers in a self-service manner;
the optimizing module is provided with a corresponding optimizing period according to the total daily sales amount of the automatic sales terminal; recording the sales total amount of different types of commodities of the automatic sales terminal every day, calculating the sales total amount average value of different types of commodities of the automatic sales terminal every day according to an average value calculation formula, comparing the obtained average value with three preset continuous average value intervals, wherein the three preset continuous average value intervals respectively correspond to three optimization periods, and therefore changing the commodity layout of the automatic sales terminal according to actual sales conditions;
and the sales analysis module is used for analyzing the sales condition of the automatic sales terminal through different parameters and displaying the sales condition through the line graph.
Further, the commodity type determining process includes the steps of:
dynamically adjusting the monitoring angle of the monitoring equipment in the automatic sales terminal to enable the monitoring area of the monitoring equipment to coincide with the commodity placing area;
connecting the monitoring equipment to a computer or a network for testing, judging the operation state of the monitoring equipment, and determining that the video transmitted by the monitoring equipment is normal and stable;
the method comprises the steps that the image recognition software is arranged to recognize the commodity types of images captured by monitoring equipment, meanwhile, a commodity type model is built, the training data set is used for training the image recognition software, and the commodity types are accurately recognized;
and extracting a plurality of sample data to test the model, and adjusting the model according to the test result to improve the accuracy of the model.
Further, the specific operation steps of the allowance determining module for detecting the allowance of various commodities in the automatic sales terminal are as follows:
detecting the residual quantity of various commodities by using a sensor arranged on various commodity channels, shooting the quantity of the commodities by using monitoring equipment, analyzing the residual quantity of the commodities, comparing the two detection modes, judging whether the two detection modes are consistent, collecting inconsistent commodity types and inconsistent time when the inconsistent conditions exist, and generating a quantity difference signaling;
after receiving the quantity difference signaling, detecting the residual quantity of various commodities by using the two detection modes again for verification, and after judging and determining that the abnormality occurs, sending an abnormality report to a terminal of an inspector, and overhauling the two detection modes by using the inspector.
Further, the specific operation steps of the commodity quantity analysis module for determining the commodity placement rule in each commodity channel in the automatic sales terminal are as follows:
the method comprises the steps of collecting the number of goods lanes in an automatic sales terminal through monitoring equipment, collecting the depth of each goods lane, collecting the width of each type of goods where single goods are placed on the goods lanes, dividing the depth of the goods lane by the width of each type of goods where single goods are placed on the goods lanes to obtain the number of matched goods which can be placed on each type of goods lanes;
neutralizing the commodity type with high shipment ratio to the commodity type with low shipment ratio, changing the quantity of each type of commodity placed in an automatic sales terminal, enabling the shipment ratio difference of each type of commodity to be the lowest, and recording the quantity of each type of commodity obtained through analysis after neutralization; the commodity storage method has the advantages that the commodity with low commodity discharge ratio is correspondingly reduced, so that the rear side of a commodity storage channel of the commodity is idle and is used for storing the commodity with high commodity discharge ratio, and the aim of commodity neutralization is fulfilled; recording the quantity of various commodities to be placed, and generating an optimized signaling;
analyzing the residual quantity of each type of commodity, setting a corresponding minimum value of the residual quantity according to the shipment frequency of each type of commodity, presetting the same proportion according to the minimum value of the residual quantity of each type, resetting an early warning value, verifying the residual quantity of each type of commodity again when the residual quantity of the commodity reaches the minimum value of the residual quantity, judging whether the residual quantity of the commodity reaches the corresponding commodity early warning value, recording the commodity type reaching the minimum value of the residual quantity and the early warning value, calculating the quantity of the commodity required to be supplemented, and generating a commodity supplementing signaling.
Further, the specific operation steps of the early warning module for carrying out commodity replenishment warning on replenishment personnel are as follows:
acquiring a replenishment signaling, recording the types of commodities reaching the minimum allowance value and the early warning value and the quantity of the required replenishment of various commodities, calculating the estimated time of empty goods of each type of commodity to be replenished according to the minimum allowance value or the early warning value of the commodity and the shipment frequency of the commodity, and sending the data to a mobile phone terminal of a replenishment person;
meanwhile, the distance between the mobile phone terminal of the restocking person and the automatic sales terminal is collected, the time required by the restocking person is analyzed, the time required by the restocking person to arrive at the automatic sales terminal for restocking is compared with the shortest time of empty goods of each type of goods to be restocked, and whether the restocking person can restock the goods before the empty goods of the goods is judged;
when the goods are empty, the automatic sales terminal is controlled to turn off the light and the shipment control button of the goods.
Further, the sales analysis module analyzes the sales condition of the automatic sales terminal through different parameters and displays the sales condition through the line graph, and the specific operation steps are as follows:
acquiring the sales total amount of different types of commodities of an automatic sales terminal in an optimization module, acquiring the people stream number of the automatic sales terminal through a camera, and acquiring the weather condition of the area to which the automatic sales terminal belongs; the weather is classified into five grades, namely sunny days, overcast days, light rain and snow days, medium rain and snow days and heavy rain and snow days, and the weather is replaced by numbers 5, 4, 3, 2 and 1;
collecting daily electricity consumption of the automatic sales terminal and calculating the electricity fee and the site renting fee, wherein the site renting fee is generally month or year, and the site renting fee is calculated as daily site renting fee;
calculating and analyzing the acquired data to obtain a warp-like value;
and establishing a meridian value line graph by taking the calculated meridian value of the automatic sales terminal every day as a longitudinal coordinate and taking the transverse coordinate as a date, and sending the meridian value line graph to an automatic sales terminal manager terminal for a manager to check the daily operation state of the automatic sales terminal.
Compared with the prior art, the invention has the beneficial effects that:
(1) According to the invention, the sales conditions of different types of wine commodities in the automatic sales terminal can be monitored through the optimization module, and the quantity and layout of the wine commodities in different types which are required to be placed are analyzed by utilizing the monitoring data, so that a new placement rule is established, the automatic sales terminal placed at different positions is adapted, the sales amount is improved, and meanwhile, frequent replenishment of replenishment staff can be avoided;
(2) The invention can flexibly identify different types of wine commodities, adapt to automatic sales of different wine commodities, realize real-time monitoring of sales conditions of the wine commodities, achieve real-time residual quantity early warning, analyze the residual quantity of other types of commodities at the same time when the wine of a certain type reaches the early warning condition, judge whether to need to supplement the commodity or not, give more sufficient information to management staff, thereby enabling the replenishment staff to comprehensively supplement the commodity in an automatic sales terminal at one time and reducing the times of manual replenishment;
(3) According to the invention, the daily operation condition of the automatic sales terminal is analyzed, wherein the related parameters comprise sales volume, weather condition and use cost, so that the manager can see the profit or loss of the whole automatic sales terminal at a glance, and decision-making data support can be provided for the replacement place of the automatic sales terminal.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
fig. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present disclosure is for the purpose of describing particular embodiments only, and is not intended to be limiting of the disclosure. As used in the specification and claims of this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the present disclosure and claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As shown in FIG. 1, the inventory replenishment early warning system for the automatic wine sales terminal comprises a commodity determining module, a residual quantity determining module, a commodity quantity analyzing module, an early warning module, an optimizing module and a sales analyzing module;
the commodity determining module is used for determining commodity categories in the automatic sales terminal;
shooting the commodity types in the automatic sales terminal by using monitoring equipment, and determining the number of the commodity types;
the commodity type determining process comprises the following steps:
automatically adjusting the monitoring angle of the monitoring equipment to ensure that the monitoring equipment can completely shoot all commodities;
connecting the monitoring equipment to a computer or a network for testing, judging the operation state of the monitoring equipment, and determining that the video transmitted by the monitoring equipment is normal and stable;
the method comprises the steps that the image recognition software is arranged to recognize the types of commodities in images captured by monitoring equipment, meanwhile, a commodity type model is built, and the training data set is used for training the image recognition software, so that the types of commodities can be recognized more accurately;
extracting a plurality of sample data to test the model, and adjusting the model according to a test result to improve the accuracy of the model;
the allowance determining module is used for detecting the allowance of various commodities in the automatic sales terminal;
detecting the residual quantity of various commodities by using a sensor arranged on various commodity channels, shooting the quantity of the commodities by using monitoring equipment, analyzing the residual quantity of the commodities, comparing the two detection modes, judging whether the two detection modes are consistent, collecting inconsistent commodity types and inconsistent time when the inconsistent conditions exist, and generating a quantity difference signaling;
after receiving the quantity difference signaling, detecting the residual quantity of various commodities in two detection modes again for verification, after judging that abnormality occurs, sending an abnormality report to a terminal of a inspector, and overhauling the two detection modes by using the inspector;
the commodity quantity analysis module is used for receiving and analyzing various commodity allowance data in the allowance determination module;
acquiring real-time allowance of various commodities, acquiring each shipment time point of the various commodities, setting a plurality of preset time periods according to each shipment time point of the various commodities, calculating the quantity of shipment time points of the various commodities in each time period, and calculating the average value of the quantity of shipment time points in each time period, thereby obtaining shipment frequency of the various commodities;
calculating the total shipment frequency of all commodities through a summation calculation method, and calculating the duty ratio of the shipment frequency of each commodity to the total shipment frequency of all commodities respectively;
determining the arrangement planning in each goods channel in the automatic sales terminal according to the total frequency ratio of goods output of each type of goods;
the process comprises the following steps: the method comprises the steps of collecting the number of goods lanes in an automatic sales terminal through monitoring equipment, analyzing the depth of each goods lane, collecting the width of each type of goods where single goods are placed on the goods lanes, dividing the depth of the goods lanes by the width of each type of goods where single goods are placed on the goods lanes to obtain the number of matched goods which can be placed on each type of goods lanes;
neutralizing the commodity type with high shipment ratio to the commodity type with low shipment ratio, changing the quantity of each type of commodity placed in an automatic sales terminal, enabling the shipment ratio difference of each type of commodity to be the lowest, and recording the quantity of each type of commodity obtained through analysis after neutralization; the commodity storage method has the advantages that the commodity with low commodity discharge ratio is correspondingly reduced, so that the rear side of a commodity storage channel of the commodity is idle and is used for storing the commodity with high commodity discharge ratio, and the aim of commodity neutralization is fulfilled; recording the quantity of various commodities to be placed, and generating an optimized signaling;
meanwhile, the surplus of each type of commodity is analyzed, a corresponding surplus minimum value is set according to the shipment frequency of each type of commodity, the same proportion is preset according to the surplus minimum value of each type, an early warning value is set again, when the surplus of the commodity reaches the surplus minimum value, the surplus of each type of commodity is verified again, whether the surplus of the commodity reaches the corresponding commodity early warning value is judged, the types of the commodity reaching the surplus minimum value and the early warning value are recorded, the commodity quantity required to be supplemented is calculated, and meanwhile, a commodity supplementing signaling is generated; the early warning value is further arranged on the basis of the lowest value of the allowance, so that frequent generation of replenishment signaling can be avoided, and the labor cost of replenishment of the automatic sales terminal is saved;
the early warning module is used for receiving the commodity supplementing signaling generated by the commodity quantity analysis module and carrying out commodity supplementing warning on commodity supplementing personnel;
acquiring a replenishment signaling, recording the types of commodities reaching the minimum allowance value and the early warning value and the quantity of the required replenishment of various commodities, calculating the estimated time of empty goods of each type of commodity to be replenished according to the minimum allowance value or the early warning value of the commodity and the shipment frequency of the commodity, and sending the data to a mobile phone terminal of a replenishment person;
meanwhile, the distance between the mobile phone terminal of the restocking person and the automatic sales terminal is collected, the time required by the restocking person is analyzed, the time required by the restocking person to arrive at the automatic sales terminal for restocking is compared with the shortest time of empty goods of each type of goods to be restocked, and whether the restocking person can restock the goods before the empty goods of the goods is judged;
when the goods are empty, the automatic sales terminal is controlled to turn off the light and the shipment control button of the goods, so that the power supply can be saved, and the prompt to a customer is more obvious;
the optimizing module is used for receiving the optimizing signaling generated by the commodity quantity analyzing module and re-distributing commodity placement in the automatic sales terminal;
after receiving the optimizing signaling, acquiring the quantity and layout of the goods in the goods quantity analysis module and placed by various goods after the goods are neutralized, and sending the placement plan to an optimizing personnel terminal;
the placement planning comprises the placement of the quantity of the goods placed on each goods channel in the automatic sales terminal and the neutralization layout of the quantity of the goods after optimization;
specifically, after optimization is completed, the automatic sales terminal monitors the commodity type at the forefront side in each commodity channel in real time through monitoring equipment, and automatically changes commodity names and prices corresponding to the commodity types according to the commodity types so as to be purchased by customers in a self-service manner;
the optimizing module is provided with a corresponding optimizing period according to the total daily sales amount of the automatic sales terminal, for example, the optimizing period is set to be one week, one month or one quarter; the method comprises the steps of recording the sales total quantity of different types of commodities in each day of an automatic sales terminal, calculating the sales total quantity average value of the different types of commodities in each day of the automatic sales terminal according to an average value calculation formula, comparing the obtained average value with three preset continuous average value intervals, wherein the three preset continuous average value intervals respectively correspond to three optimization periods, so that the commodity layout of the automatic sales terminal is changed according to actual sales conditions, namely, when the sales total quantity average value of the different types of commodities in each day of the automatic sales terminal is larger, the commodity layout of the automatic sales terminal is more frequently changed.
The sales analysis module is used for analyzing the sales condition of the automatic sales terminal through different parameters;
acquiring the sales total amount of different types of commodities of an automatic sales terminal in an optimization module, acquiring the people flow quantity of the automatic sales terminal through a camera, and simultaneously acquiring the weather condition of a region to which the automatic sales terminal belongs, wherein the weather is classified into five grades, namely sunny days, cloudy days, light rain and snow days, medium rain and snow days and heavy rain and snow days, and the weather conditions are replaced by numbers 5, 4, 3, 2 and 1 respectively, and the weather condition is better as the numbers are larger; collecting daily electricity consumption of the automatic sales terminal and calculating the electricity fee and the site renting fee, wherein the site renting fee is generally month or year, and the site renting fee is calculated as daily site renting fee;
substituting the obtained data into a formula after normalization processing:
to obtain the warp value JY, wherein XZ, RL, TZ, DF, CD is the sales total amount of different types of commodities of the automatic sales terminal every day, the people stream number of the automatic sales terminal, the weather condition of the area to which the automatic sales terminal belongs, the daily electric charge of the automatic sales terminal and the site renting charge respectively>Respectively presetting weight coefficients for sales total amounts of different types of commodities of an automatic sales terminal every day, people stream number preset weight coefficients for the direction of the automatic sales terminal, weather condition preset weight coefficients of an area to which the automatic sales terminal belongs, and preset weight coefficients of the sum of electric charges and site rentals of the automatic sales terminal every day;
and establishing a meridian value line graph by taking the calculated meridian value of the automatic sales terminal every day as a longitudinal coordinate and taking the transverse coordinate as a date, and sending the meridian value line graph to an automatic sales terminal manager terminal for a manager to check the daily operation state of the automatic sales terminal.
When the method is used, firstly, the commodity type in the automatic sales terminal is determined through the commodity determining module, the monitoring angle of the monitoring equipment is automatically adjusted, the monitoring equipment is ensured to be capable of completely shooting all commodities, the monitoring equipment is connected to a computer or a network for testing, the operation state of the monitoring equipment is judged, the video transmitted by the monitoring equipment is determined to be normal and stable, the image captured by the monitoring equipment is identified through the set image identifying software, meanwhile, a commodity type model is built, the training data set is used for training the image identifying software, so that the commodity type can be identified more accurately, then a plurality of sample data are extracted for testing the model, the model is adjusted according to the test result, and the accuracy of the model is improved; after the determination of the types of the wine commodities is completed, detecting the residual quantity of various commodities in the automatic sales terminal through a residual quantity determination module; meanwhile, the commodity quantity analysis module is used for analyzing the residual data of various commodities, and the ratio of the shipment frequency of each class of commodity to the total shipment frequency of all commodities is calculated respectively, so that the commodity placement plan in each commodity channel in the automatic sales terminal is determined; monitoring the commodity allowance in the automatic sales terminal in real time by utilizing an early warning module, and carrying out commodity replenishment warning on replenishment personnel once a replenishment signaling is received; rearranging commodity placement in the automatic sales terminal by utilizing optimization; meanwhile, the sales analysis module is used for analyzing the sales condition of the automatic sales terminal through different parameters.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. An inventory replenishment early warning system for an automatic wine sales terminal, comprising:
the commodity determining module is used for determining commodity categories in the automatic sales terminal;
the allowance determining module is used for detecting the allowance of various commodities in the automatic sales terminal;
the commodity quantity analysis module is used for receiving various commodity allowance data in the allowance determination module and analyzing and placing planning, and specifically comprises the following steps: acquiring real-time allowance of various commodities, acquiring each shipment time point of the various commodities, setting a plurality of preset time periods according to each shipment time point of the various commodities, calculating the quantity of shipment time points of the various commodities in each time period, and calculating the average value of the quantity of shipment time points in each time period to obtain shipment frequency of the various commodities; calculating the total shipment frequency of all commodities through a summation calculation method, and calculating the duty ratio of the shipment frequency of each commodity to the total shipment frequency of all commodities respectively; determining the arrangement planning in each goods channel in the automatic sales terminal according to the total frequency ratio of goods output of each type of goods;
the early warning module is used for receiving the commodity supplementing signaling generated by the commodity quantity analysis module and carrying out commodity supplementing warning on commodity supplementing personnel;
the optimizing module is used for receiving the optimizing signaling generated by the commodity quantity analyzing module and re-distributing commodity placement in the automatic sales terminal;
after receiving the optimizing signaling, acquiring the quantity and layout of the goods in the goods quantity analysis module and placed by various goods after the goods are neutralized, and sending the placement plan to an optimizing personnel terminal;
the placement planning comprises the placement of the quantity of the goods placed on each goods channel in the automatic sales terminal and the neutralization layout of the quantity of the goods after optimization;
specifically, after optimization is completed, the automatic sales terminal monitors the commodity type at the forefront side in each commodity channel in real time through monitoring equipment, and automatically changes commodity names and prices corresponding to the commodity types according to the commodity types so as to be purchased by customers in a self-service manner;
the optimizing module is provided with a corresponding optimizing period according to the total daily sales amount of the automatic sales terminal; recording the sales total amount of different types of commodities of the automatic sales terminal every day, calculating the sales total amount average value of different types of commodities of the automatic sales terminal every day according to an average value calculation formula, comparing the obtained average value with three preset continuous average value intervals, wherein the three preset continuous average value intervals respectively correspond to three optimization periods, and therefore changing the commodity layout of the automatic sales terminal according to actual sales conditions;
and the sales analysis module is used for analyzing the sales condition of the automatic sales terminal through different parameters and displaying the sales condition through the line graph.
2. The inventory replenishment early warning system for an automatic wine sales terminal according to claim 1, wherein the commodity kind determination process comprises the steps of:
automatically adjusting the monitoring angle of the monitoring equipment in the automatic sales terminal to enable the monitoring area of the monitoring equipment to coincide with the commodity placing area;
connecting the monitoring equipment to a computer or a network for testing, judging the operation state of the monitoring equipment, and determining that the video transmitted by the monitoring equipment is normal and stable;
the method comprises the steps that the image recognition software is arranged to recognize the commodity types of images captured by monitoring equipment, meanwhile, a commodity type model is built, the training data set is used for training the image recognition software, and the commodity types are accurately recognized;
and extracting a plurality of sample data to test the model, and adjusting the model according to the test result to improve the accuracy of the model.
3. The inventory replenishment early warning system for an automatic wine selling terminal according to claim 1, wherein the specific operation steps of the remaining amount determining module for detecting the remaining amounts of various commodities in the automatic selling terminal are as follows:
detecting the residual quantity of various commodities by using a sensor arranged on various commodity channels, shooting the quantity of the commodities by using monitoring equipment, analyzing the residual quantity of the commodities, comparing the two detection modes, judging whether the two detection modes are consistent, collecting inconsistent commodity types and inconsistent time when the inconsistent conditions exist, and generating a quantity difference signaling;
after receiving the quantity difference signaling, detecting the residual quantity of various commodities by using the two detection modes again for verification, and after judging and determining that the abnormality occurs, sending an abnormality report to a terminal of an inspector, and overhauling the two detection modes by using the inspector.
4. The inventory replenishment early warning system for an automatic wine sales terminal according to claim 1, wherein the specific operation steps of the commodity quantity analysis module determining the commodity placement rules in each lane in the automatic sales terminal are as follows:
the method comprises the steps of collecting the number of goods lanes in an automatic sales terminal through monitoring equipment, collecting the depth of each goods lane, collecting the width of each type of goods where single goods are placed on the goods lanes, dividing the depth of the goods lane by the width of each type of goods where single goods are placed on the goods lanes to obtain the number of matched goods which can be placed on each type of goods lanes;
neutralizing the commodity type with high shipment ratio to the commodity type with low shipment ratio, changing the quantity of each type of commodity placed in an automatic sales terminal, enabling the shipment ratio difference of each type of commodity to be the lowest, and recording the quantity of each type of commodity obtained through analysis after neutralization; the commodity storage method has the advantages that the commodity with low commodity discharge ratio is correspondingly reduced, so that the rear side of a commodity storage channel of the commodity is idle and is used for storing the commodity with high commodity discharge ratio, and the aim of commodity neutralization is fulfilled; recording the quantity of various commodities to be placed, and generating an optimized signaling;
analyzing the residual quantity of each type of commodity, setting a corresponding minimum value of the residual quantity according to the shipment frequency of each type of commodity, presetting the same proportion according to the minimum value of the residual quantity of each type, resetting an early warning value, verifying the residual quantity of each type of commodity again when the residual quantity of the commodity reaches the minimum value of the residual quantity, judging whether the residual quantity of the commodity reaches the corresponding commodity early warning value, recording the commodity type reaching the minimum value of the residual quantity and the early warning value, calculating the quantity of the commodity required to be supplemented, and generating a commodity supplementing signaling.
5. The inventory replenishment early warning system for an automatic wine selling terminal according to claim 1, wherein the specific operation steps of the early warning module for commodity replenishment warning to a replenishment person are as follows:
acquiring a replenishment signaling, recording the types of commodities reaching the minimum allowance value and the early warning value and the quantity of the required replenishment of various commodities, calculating the estimated time of empty goods of each type of commodity to be replenished according to the minimum allowance value or the early warning value of the commodity and the shipment frequency of the commodity, and sending the data to a mobile phone terminal of a replenishment person;
meanwhile, the distance between the mobile phone terminal of the restocking person and the automatic sales terminal is collected, the time required by the restocking person is analyzed, the time required by the restocking person to arrive at the automatic sales terminal for restocking is compared with the shortest time of empty goods of each type of goods to be restocked, and whether the restocking person can restock the goods before the empty goods of the goods is judged;
when the goods are empty, the automatic sales terminal is controlled to turn off the light and the shipment control button of the goods.
6. The inventory replenishment early warning system for an automatic wine sales terminal according to claim 1, wherein the sales analysis module analyzes sales conditions of the automatic sales terminal by different parameters and displays the sales conditions by a line graph, and the specific operation steps are as follows:
acquiring the sales total amount of different types of commodities of an automatic sales terminal in an optimization module, acquiring the people stream number of the automatic sales terminal through a camera, and acquiring the weather condition of the area to which the automatic sales terminal belongs; the weather is classified into five grades, namely sunny days, overcast days, light rain and snow days, medium rain and snow days and heavy rain and snow days, and the weather is replaced by numbers;
collecting daily electricity consumption of the automatic sales terminal and calculating the electricity fee and the site renting fee, wherein the site renting fee is generally month or year, and the site renting fee is calculated as daily site renting fee;
calculating and analyzing the acquired data to obtain a warp-like value;
and establishing a meridian value line graph by taking the calculated meridian value of the automatic sales terminal every day as a longitudinal coordinate and taking the transverse coordinate as a date, and sending the meridian value line graph to an automatic sales terminal manager terminal for a manager to check the daily operation state of the automatic sales terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311424512.6A CN117350633A (en) | 2023-10-31 | 2023-10-31 | Inventory replenishment early warning system for automatic wine sales terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311424512.6A CN117350633A (en) | 2023-10-31 | 2023-10-31 | Inventory replenishment early warning system for automatic wine sales terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117350633A true CN117350633A (en) | 2024-01-05 |
Family
ID=89369086
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311424512.6A Pending CN117350633A (en) | 2023-10-31 | 2023-10-31 | Inventory replenishment early warning system for automatic wine sales terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117350633A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105869278A (en) * | 2016-03-24 | 2016-08-17 | 中烟追溯（北京）科技有限公司 | A method, a system and a selling machine for automatic tobacco selling |
| JP2017168124A (en) * | 2017-05-09 | 2017-09-21 | カシオ計算機株式会社 | Sales management device, output control method and program |
| CN107730168A (en) * | 2017-09-28 | 2018-02-23 | 中南大学 | A kind of automatic vending machine automated stock control system and method based on image recognition |
| CN111724188A (en) * | 2019-03-22 | 2020-09-29 | 北京沃东天骏信息技术有限公司 | Method, apparatus, device and storage medium for optimizing commodity display position |
| CN111985875A (en) * | 2020-08-25 | 2020-11-24 | 北京意锐新创科技有限公司 | Method and device for obtaining sales information of vending machine and vending machine |
-
2023
- 2023-10-31 CN CN202311424512.6A patent/CN117350633A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105869278A (en) * | 2016-03-24 | 2016-08-17 | 中烟追溯（北京）科技有限公司 | A method, a system and a selling machine for automatic tobacco selling |
| JP2017168124A (en) * | 2017-05-09 | 2017-09-21 | カシオ計算機株式会社 | Sales management device, output control method and program |
| CN107730168A (en) * | 2017-09-28 | 2018-02-23 | 中南大学 | A kind of automatic vending machine automated stock control system and method based on image recognition |
| CN111724188A (en) * | 2019-03-22 | 2020-09-29 | 北京沃东天骏信息技术有限公司 | Method, apparatus, device and storage medium for optimizing commodity display position |
| CN111985875A (en) * | 2020-08-25 | 2020-11-24 | 北京意锐新创科技有限公司 | Method and device for obtaining sales information of vending machine and vending machine |
Non-Patent Citations (1)
| Title |
|---|
| 周亚云: "考虑物料需求关联与周转率的仓储货位优化方法", 《东华大学学报(自然科学版)》, vol. 46, no. 03, 26 May 2020 (2020-05-26), pages 414 - 420 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107045641B (en) | Goods shelf identification method based on image identification technology | |
| CN111382973B (en) | Store intelligent replenishment system based on dealer traditional business | |
| CN109670861A (en) | Commodity on shelf sale effect method for improving and system based on artificial intelligence | |
| CN107862467A (en) | A kind of electric network synthetic data target monitoring method and system based on big data platform | |
| US20080215462A1 (en) | Still image shopping event monitoring and analysis system and method | |
| CN101918988A (en) | Use the method and apparatus of REID automated shopper checkout | |
| CN113128864B (en) | Intelligent retail management platform based on Internet of things | |
| CN111553633A (en) | Engineering cost management system and method | |
| CN114282816A (en) | Give birth to bright district large screen electronic tags automatic management system | |
| CN117350633A (en) | Inventory replenishment early warning system for automatic wine sales terminal | |
| CN112819329A (en) | Urban-level intelligent farmer platform management system based on food safety and traceability | |
| CN116702089A (en) | Supermarket data monitoring system based on Internet of things | |
| CN116152001B (en) | Aggregate payment supervision system based on accounting data analysis | |
| CN115482014B (en) | Method and device for identifying false car source of second-hand car | |
| CN113034181A (en) | Advertisement putting method and advertisement putting system for elevator | |
| CN117314325A (en) | E-commerce product warehouse full-flow monitoring management system based on image recognition | |
| CN113313904B (en) | Method and system for realizing intelligent shop alarm based on 5G network | |
| CN114358870A (en) | Chain store and store passenger flow volume acquisition and analysis system | |
| CN113139768B (en) | Goods shortage monitoring method based on unmanned vending machine | |
| CN113420060A (en) | Method for counting automobile post-market performance based on multi-dimensional custom rule | |
| CN115809908A (en) | Supply chain intelligent management system based on cloud storehouse visualization | |
| CN114638659B (en) | Cloud platform-based home hardware production and sale data management system and storage medium | |
| KR102624667B1 (en) | Neighbor-to-neighbor power trading method of power trading between neighbors using usage prediction and progressive stage prediction | |
| CN110570254B (en) | Commodity structure control method and system based on face recognition data | |
| CN211262448U (en) | Intelligent scale |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |