CN115545775A - Sweep a yard formula and sell wine system - Google Patents

Sweep a yard formula and sell wine system Download PDF

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CN115545775A
CN115545775A CN202211236660.0A CN202211236660A CN115545775A CN 115545775 A CN115545775 A CN 115545775A CN 202211236660 A CN202211236660 A CN 202211236660A CN 115545775 A CN115545775 A CN 115545775A
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unit
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杨文成
仇飞
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Nanjing Binbao Chuanfei Intelligent Technology Co ltd
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Abstract

The invention relates to the technical field of code scanning wine selling, in particular to a code scanning type wine selling system. The system comprises a collocation mode recommending unit, a single purchase quantity recommending unit and a sales quantity predicting unit. According to the method, the matching mode recommending unit determines that a customer purchases various types of wine information at a time, a wine matching scheme is formulated, matched wine is placed at adjacent positions, the customer can observe the matched wine at the first time, the single wine purchase quantity matching scheme is formulated through the single purchase quantity recommending unit, after the customer selects and formulates the wine, the single wine purchase quantity matching scheme is pushed to the customer, the wine recommending effect is improved, a proper purchasing scheme is formulated for the customer, and the selling rate of the vending machine is improved.

Description

Sweep a yard formula and sell wine system
Technical Field
The invention relates to the technical field of code scanning wine selling, in particular to a code scanning type wine selling system.
Background
The traditional wine retail has many problems such as high stock pressure, slow capital circulation, multiple circulation links, excessive packaging, high price, difficult control of channels and the like, and the problems are always solved, at present, the logistics system is more convenient and fast, and the internet new technology such as big data, mobile phone payment technology and the like is widely applied to various industries, so that a new opportunity is brought for the breakthrough of the wine retail mode, and therefore, a code scanning type wine selling machine is generated, a customer scans codes to select commodities which the customer wants to buy, and the customer directly establishes contact with a manufacturer without passing through a seller, so that the purchase of wine commodities is more convenient.
However, the existing wine selling system of the wine selling machine is too single, only the commodity purchasing amount in unit time can be recorded, and then raw material supplement is carried out on time, the selling mode has low adaptability, when a customer purchases a commodity, due to different types of drinks commodities, the drinking preference of the customer is different, so that in the process of purchasing drinks by the customer, the same drinks are different in purchasing amount of each person due to different capacities, in the process of purchasing drinks, the customer can purchase only one type of commodity and purchase various types of commodities according to personal habits, if the customer finds that the single commodity amount in the code scanning type wine selling machine is insufficient or the purchasing type is insufficient at the moment, the purchasing desire of the customer is easy to decline, and a code scanning type wine selling system is urgently needed.
Disclosure of Invention
The invention aims to provide a code scanning type wine selling system to solve the problems in the background technology.
For realizing the above-mentioned purpose, a sweep code formula wine selling system is provided, including selling wine information acquisition unit, it is used for gathering the information that the vending machine sells the wine to sell wine information acquisition unit, it is connected with acquisition information sorting unit to sell wine information acquisition unit output, acquisition information sorting unit carries out classification processing to acquisition information according to the acquisition information content, generates classified information, acquisition information sorting unit output is connected with collocation mode recommendation unit, collocation mode recommendation unit is according to classified information, confirms that the customer purchases multiple wine information once to formulate wine collocation scheme, acquisition information sorting unit output still is connected with single purchase quantity recommendation unit, single purchase quantity recommendation unit is according to classified information, confirms that the customer purchases the same wine information of many bottles once, and formulate single wine purchase quantity collocation scheme, single purchase quantity recommendation unit output is connected with sales quantity prediction unit, sales quantity prediction unit input with mode recommendation unit output is connected, sales quantity prediction unit output is connected with stock formulation unit.
As a further improvement of the technical solution, the collocation pattern recommendation unit includes a purchased commodity information identification module, the purchased commodity information identification module is configured to identify information of wine purchase, an output end of the purchased commodity information identification module is connected with a collocation commodity binding module, the collocation commodity binding module is configured to determine each additional commodity quantity of a purchased commodity, formulate an additional commodity quantity threshold, and use the additional commodity exceeding the additional commodity quantity threshold as a collocation commodity of the commodity.
As a further improvement of the technical scheme, the output end of the matched commodity binding module is connected with a recommendation information conveying module, and the recommendation information conveying module is used for formulating recommendation information and transmitting the recommendation information to a customer.
As a further improvement of the technical solution, the matched commodity binding module adopts a matched commodity adaptation algorithm, and the algorithm formula is as follows:
A＝[a 1 ，a 2 ，…，a n ]；
Figure BDA0003883272250000021
Figure BDA0003883272250000022
Figure BDA0003883272250000023
wherein A is the set of each additional quantity of the commodity when the commodity is purchased, a 1 To a n For each additional quantity of the good at the time of purchase,
Figure BDA0003883272250000024
to
Figure BDA0003883272250000025
For the proportion ratio of each additional commodity,
Figure BDA0003883272250000026
as a function of the additional commodity proportion judgment,
Figure BDA0003883272250000027
for the proportion of the additional goods which need to be judged,
Figure BDA0003883272250000028
the ratio of the additional commodity is determined as the ratio of the additional commodity
Figure BDA0003883272250000029
Less than the additional merchandise share threshold
Figure BDA00038832722500000210
Time, additional commodity ratio judging function
Figure BDA00038832722500000211
The output is 0, which indicates that the additional commodity needing to be judged is not the matched commodity of the purchased commodity, and when the proportion of the additional commodity needing to be judged is higher
Figure BDA00038832722500000212
Not less than the additional commodity occupation rate threshold value
Figure BDA00038832722500000213
Function for judging percentage of additional commodities
Figure BDA00038832722500000214
The output is 1, which indicates that the additional commodity to be judged is a matching commodity of the purchased commodity.
As a further improvement of the technical scheme, the single purchase quantity recommending unit comprises a same-kind commodity purchase quantity counting module, the same-kind commodity purchase quantity counting module is used for counting single purchase information of each commodity, an optimal purchase quantity making module is connected to the output end of the same-kind commodity purchase quantity counting module, the optimal purchase quantity making module judges the optimal single purchase quantity of different commodities according to the single purchase information of each commodity, and the output end of the optimal purchase quantity making module is connected with a recommended quantity information output module.
As a further improvement of the technical solution, an output end of the collocation mode recommending unit is connected with a data updating unit, an input end of the data updating unit is further connected with a single purchase quantity recommending unit, and an output end of the data updating unit and the sales quantity predicting unit.
As a further improvement of the technical solution, an output end of the data updating unit is connected to a database storage unit, and an output end of the database storage unit is connected to an input end of the sales volume predicting unit.
As a further improvement of the technical solution, an input end of the database storage unit is connected to an output end of the sales prediction unit, and the database storage unit is used for storing sales prediction information at different time periods.
As a further improvement of the technical scheme, the output end of the single purchase quantity recommending unit is connected with a discount scheme making unit, the input end of the discount scheme making unit is connected with the output end of the collocation mode recommending unit, and the discount scheme making unit makes a corresponding discount scheme according to the wine collocation scheme and the single wine purchase quantity collocation scheme.
Compared with the prior art, the invention has the beneficial effects that:
1. this sweep among the code type wine selling system, confirm that the customer single purchases multiple beverage information through collocation mode recommendation unit, and formulate beverage collocation scheme, put the beverage of collocation to adjacent position, can make the customer observe collocation beverage the very first time, formulate single beverage purchase volume collocation scheme through single purchase volume recommendation unit simultaneously, after customer selects to formulate the beverage, for customer propelling movement single beverage purchase volume collocation scheme, improve the beverage recommendation effect, formulate suitable purchase scheme for customer, improve the vending machine rate of selling.
2. In this sweep code formula wine selling system, buy commodity information identification module and discern wine purchase information, confirm all the other commodities of subsidiary purchase when buying this commodity, the module is bound to the collocation commodity and confirms each subsidiary commodity volume of buying the commodity, formulate subsidiary commodity volume threshold value, and compare every subsidiary commodity volume and subsidiary commodity volume threshold value and handle, will exceed the subsidiary commodity of subsidiary commodity volume threshold value as the collocation commodity of this commodity, improve collocation commodity match rate, reduce the production of collocation error.
3. In this sweep code type wine selling system, each commodity single purchase information of homogeneous commodity purchase quantity statistics module statistics, and with each commodity single purchase information transmission to best purchase quantity making module, best purchase quantity making module is according to each commodity single purchase information, judge the best single purchase quantity of different commodities in department, generate best single purchase quantity information, and with best single purchase quantity information transmission to recommendation quantity information output module, recommendation quantity information output module makes corresponding recommendation information, after customer selects the commodity at the touch-sensitive screen, according to the commodity information of choosing, corresponding recommendation information to customer is transferred automatically, help customer better carry out the commodity purchase.
4. In the code scanning type wine selling system, the data updating unit updates real-time data to generate updating information, the updating information is transmitted to the database storage unit, the updating data in different periods are stored through the database storage unit, when the updating data needs to be used in the later period, the updating data only needs to be directly called from the database storage unit, secondary judgment is not needed, and the response speed of the system is improved.
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FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a flow chart of a collocation pattern recommendation unit according to the present invention;
FIG. 3 is a flow chart of a single purchase amount recommendation unit of the present invention.
The various reference numbers in the figures mean:
10. a wine selling information acquisition unit;
20. collecting an information classification unit;
30. a collocation mode recommendation unit; 310. a purchased commodity information identification module; 320. a collocated commodity binding module; 330. a recommendation information delivery module;
40. a single purchase amount recommending unit; 410. a same kind commodity purchase amount counting module; 420. an optimal purchase amount making module; 430. a recommended amount information output module;
50. a sales amount prediction unit;
60. an inventory quantity making unit;
70. a data update unit;
80. a database storage unit;
90. and a preferential scheme making unit.
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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-3, a code scanning type wine selling system is provided, which includes a wine selling information collecting unit 10, the wine selling information collecting unit 10 is used for collecting information of wine sold by a vending machine, an output end of the wine selling information collecting unit 10 is connected with an acquired information classifying unit 20, the acquired information classifying unit 20 classifies the acquired information according to the content of the acquired information to generate classified information, an output end of the acquired information classifying unit 20 is connected with a collocation mode recommending unit 30, the collocation mode recommending unit 30 determines that a customer purchases a plurality of types of wine information at a time according to the classified information and formulates a wine collocation scheme, an output end of the acquired information classifying unit 20 is further connected with a single purchase quantity recommending unit 40, the single purchase quantity recommending unit 40 determines that the customer purchases a plurality of bottles of same wine information at a time according to the classified information and formulates a single wine purchase quantity collocation scheme, an output end of the single purchase quantity recommending unit 40 is connected with a sales quantity predicting unit 50, an input end of the sales quantity predicting unit 50 is connected with an output end of the collocation mode recommending unit 30, and an output end of the sales quantity predicting unit 50 is connected with a stock formulating unit 60.
When the wine selling device is used specifically, the wine selling information collecting unit 10 collects the information of the wine sold by the vending machine, extracts the information that different wine sales volumes are available, different types of wines are purchased by the same customer at a time, the same kind of wine is purchased by the same customer at a time, and the like, generates the collected information, transmits the collected information to the collected information classifying unit 20, classifies the collected information according to the collected information by the collected information classifying unit 20 to generate the classified information, transmits the classified information to the matching mode recommending unit 30, determines the information that the customers purchase various wines at a time according to the classified information by the matching mode recommending unit 30, and makes a wine matching scheme, for example, the matched wines are placed at adjacent positions, when the customers can find the matched wines at the first time in the purchasing process, the single purchasing volume recommending unit 40 can determine the matched wines according to the classified information, determining that a customer purchases a plurality of bottles of same wine information at a time, for example, the wine in a small bottle generally needs to purchase two bottles or more at a time due to small capacity to meet the drinking requirement of the customer, formulating a single wine purchase quantity matching scheme by a single purchase quantity recommending unit 40, after the customer selects and formulates the wine, pushing the single wine purchase quantity matching scheme to the customer, predicting sales quantity of different wines in a unit time by a sales quantity predicting unit 50 according to the wine matching scheme and the single wine purchase quantity matching scheme, generating sales quantity predicting information, transmitting the sales quantity predicting information to a stock formulating unit 60, formulating a wine stock in advance by the stock formulating unit 60 according to the sales quantity predicting information, determining the information of a plurality of wines purchased at a time by the customer through a matching mode recommending unit 30, formulating the wine matching scheme, put the beverage of collocation to adjacent position, can make the customer observe collocation beverage the very first time, formulate single beverage purchase volume collocation scheme through single purchase volume recommendation unit 40 simultaneously, after customer chooses to formulate beverage, for customer propelling movement single beverage purchase volume collocation scheme, improve the beverage recommendation effect, for suitable purchase scheme of customer formulation, improve the vending machine rate of selling.
In addition, the matching mode recommending unit 30 includes a purchased product information identifying module 310, the purchased product information identifying module 310 is used for identifying wine purchase information, the output end of the purchased product information identifying module 310 is connected with a matched product binding module 320, the matched product binding module 320 is used for determining each additional product amount of the purchased product, formulating an additional product amount threshold, and using the additional product exceeding the additional product amount threshold as the matched product of the product. When the method is used specifically, the bought commodity information identification module 310 identifies the drink purchase information, determines the other commodities bought by the bought commodity, the matching commodity binding module 320 determines the additional commodity quantity of the bought commodity, formulates an additional commodity quantity threshold value, compares each additional commodity quantity with the additional commodity quantity threshold value, and takes the additional commodities exceeding the additional commodity quantity threshold value as matching commodities of the commodity, so that matching rate of the matching commodities is improved, and matching errors are reduced.
Further, the output end of the matching commodity binding module 320 is connected with a recommendation information delivery module 330, and the recommendation information delivery module 330 is used for formulating recommendation information and transmitting the recommendation information to a customer. During specific use, the recommendation information transmission module 330 formulates recommendation information, and after a customer selects commodities in the sales cabinet, the recommendation information is transmitted to the customer through the display screen of the sales cabinet, so that a proper purchase scheme is provided for the customer, and the sales rate is improved.
Still further, the matching commodity binding module 320 adopts a matching commodity adaptation algorithm, and the algorithm formula is as follows:
A＝[a 1 ，a 2 ，…，a n ]；
Figure BDA0003883272250000061
Figure BDA0003883272250000062
Figure BDA0003883272250000063
wherein A is the set of each additional commodity amount when purchasing the commodity, a 1 To a n For each additional quantity of the good at the time of purchase,
Figure BDA0003883272250000064
to
Figure BDA0003883272250000065
For the proportion ratio of each additional commodity,
Figure BDA0003883272250000066
as a function of the additional commodity proportion judgment,
Figure BDA0003883272250000067
for the proportion of the additional goods which need to be judged,
Figure BDA0003883272250000071
the ratio of the additional commodity is determined as the ratio of the additional commodity
Figure BDA0003883272250000072
Less than the additional merchandise share threshold
Figure BDA0003883272250000073
Function for judging percentage of additional commodities
Figure BDA0003883272250000074
The output is 0, which indicates that the additional product needing to be judged is not the matching product of the purchased product, and when the proportion of the additional product needing to be judged is higher
Figure BDA0003883272250000075
Not less than the additional commodity occupation rate threshold value
Figure BDA0003883272250000076
Function for judging percentage of additional commodities
Figure BDA0003883272250000077
The output is 1, which indicates that the additional commodity to be judged is a matching commodity of the purchased commodity.
Specifically, the single purchase amount recommending unit 40 includes the same kind of commodity purchase amount counting module 410, the same kind of commodity purchase amount counting module 410 is used for counting each commodity single purchase information, the same kind of commodity purchase amount counting module 410 output is connected with the best purchase amount formulating module 420, the best purchase amount formulating module 420 is according to each commodity single purchase information, the best single purchase amount of different commodities in judgments, the best purchase amount formulating module 420 output is connected with the recommended amount information output module 430. The same kind of commodity purchase quantity statistics module 410 statistics each commodity single purchase information, and transmit each commodity single purchase information to best purchase quantity making module 420, best purchase quantity making module 420 is according to each commodity single purchase information, judge the best single purchase quantity of different commodities in department, generate best single purchase quantity information, and transmit best single purchase quantity information to recommended quantity information output module 430, recommended quantity information output module 430 makes corresponding recommended information, after the commodity is selected at the touch-sensitive screen to the customer, according to the commodity information of choosing, automatically, call corresponding recommended information to customer, help the customer better carry out the commodity purchase.
In addition, the output end of the collocation pattern recommending unit 30 is connected with a data updating unit 70, the input end of the data updating unit 70 is also connected with a single purchase quantity recommending unit 40, and the output end of the data updating unit 70 is connected with a sales quantity predicting unit 50. The matching mode recommending unit 30 transmits the wine matching schemes counted in different periods to the data updating unit 70, the single purchase amount recommending unit 40 transmits information of purchasing multiple bottles of the same wine at different periods to the data updating unit 70, the data updating unit 70 updates real-time data to generate updated information, the updated information is transmitted to the sales amount predicting unit 50, and the sales amounts of the wine in different periods are predicted through the sales amount predicting unit 50, so that the wine sales predicting work in different periods is adapted, and the prediction accuracy is improved.
Further, the output end of the data updating unit 70 is connected to the database storage unit 80, and the output end of the database storage unit 80 is connected to the input end of the sales predicting unit 50. When the data updating unit 70 is used specifically, the real-time data is updated to generate updating information, the updating information is transmitted to the database storage unit 80, the updating data in different periods is stored through the database storage unit 80, when the updating data needs to be used in the later period, the updating data only needs to be directly called from the database storage unit 80, secondary judgment is not needed, and the response speed of the system is increased.
Still further, the input end of the database storage unit 80 is connected to the output end of the sales prediction unit 50, and the database storage unit 80 is configured to store sales prediction information of different periods. The sales prediction unit 50 predicts sales of different wines in the vending machine in unit time according to the wine collocation scheme and the single wine purchase collocation scheme, generates sales prediction information, identifies the sales prediction information in different periods, transmits the sales prediction information in different periods to the database storage unit 80, stores the sales prediction information in the database storage unit 80, and is used for comparing the sales prediction information with the actual sales in the later period and judging whether the prediction information is accurate or not.
In addition, the output end of the single purchase amount recommending unit 40 is connected with a discount scheme making unit 90, the input end of the discount scheme making unit 90 is connected with the output end of the collocation mode recommending unit 30, and the discount scheme making unit 90 makes a corresponding discount scheme according to the wine collocation scheme and the single wine purchase amount collocation scheme. When the method is used specifically, the single-time purchase amount recommending unit 40 transmits the single-time wine purchase amount matching scheme to the benefit scheme making unit 90, the benefit scheme making unit 90 makes the benefit scheme according to the single-time wine purchase amount matching scheme, for example, a customer needs to pay an original price when buying a single commodity, but purchases a corresponding number of commodities according to the single-time wine purchase amount matching scheme, each commodity is lower than the original price, and similarly, the matching mode recommending unit 30 transmits the wine collocation scheme to the benefit scheme making unit 90, the benefit scheme making unit 90 makes the benefit scheme according to the wine collocation scheme, and purchases a single commodity and a commodity matched with the corresponding commodity, so that the price of the corresponding commodity and the commodity matched with the commodity are lower than the original price when buying the corresponding commodity and the commodity matched with the commodity according to the wine collocation scheme, and a suitable benefit scheme is made, so that the commodity matching effect is improved, and the commodity purchase rate is increased.
The foregoing shows and describes the general principles, principal features, and advantages of the invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention, and that various changes and modifications may be made without departing from the spirit and scope of the present invention, which fall within the scope of the claimed invention. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (9)

1. The utility model provides a sweep a yard formula and sell wine system, is including selling wine information acquisition unit (10), sell wine information acquisition unit (10) and be used for gathering the information that the vending machine sold wine, sell wine information acquisition unit (10) output and be connected with acquisition information taxon (20), acquisition information taxon (20) carry out classification to acquisition information according to the acquisition information content, generate classified information, its characterized in that: the wine making device is characterized in that the output end of the collecting information classification unit (20) is connected with a collocation mode recommendation unit (30), the collocation mode recommendation unit (30) determines that a customer purchases various types of wine information once according to classification information, and formulates a wine collocation scheme, the output end of the collecting information classification unit (20) is further connected with a single purchase quantity recommendation unit (40), the single purchase quantity recommendation unit (40) determines that the customer purchases multiple bottles of same wine information once according to the classification information, and formulates a single wine purchase quantity collocation scheme, the output end of the single purchase quantity recommendation unit (40) is connected with a sales quantity prediction unit (50), the input end of the sales quantity prediction unit (50) is connected with the output end of the collocation mode recommendation unit (30), and the output end of the sales quantity prediction unit (50) is connected with an inventory quantity formulation unit (60).
2. The barcode-scanning wine-selling system according to claim 1, wherein: the collocation mode recommending unit (30) comprises a purchased commodity information identifying module (310), the purchased commodity information identifying module (310) is used for identifying wine purchasing information, the output end of the purchased commodity information identifying module (310) is connected with a collocation commodity binding module (320), the collocation commodity binding module (320) is used for determining each additional commodity quantity of purchased commodities, formulating an additional commodity quantity threshold value, and taking the additional commodities exceeding the additional commodity quantity threshold value as the collocation commodities of the commodities.
3. The barcode-scanning wine selling system according to claim 2, wherein: the output end of the matched commodity binding module (320) is connected with a recommendation information transmission module (330), and the recommendation information transmission module (330) is used for formulating recommendation information and transmitting the recommendation information to a customer.
4. The barcode-scanning wine selling system according to claim 3, wherein: the matched commodity binding module (320) adopts a matched commodity adaptation algorithm, and the algorithm formula is as follows:
A＝[a 1 ，a 2 ，…，a n ]；
Figure FDA0003883272240000011
Figure FDA0003883272240000012
Figure FDA0003883272240000021
wherein A is the set of each additional quantity of the commodity when the commodity is purchased, a 1 To a n For each additional item amount at the time of purchase of the item,
Figure FDA0003883272240000022
to is that
Figure FDA0003883272240000023
For the proportion ratio of each additional commodity,
Figure FDA0003883272240000024
as a function of the additional commodity proportion judgment,
Figure FDA0003883272240000025
the proportion ratio of the additional goods which need to be judged,
Figure FDA0003883272240000026
the ratio of the additional commodity is determined as the ratio of the additional commodity
Figure FDA0003883272240000027
Less than the additional commodity percentage threshold
Figure FDA0003883272240000028
Time, additional commodity ratio judging function
Figure FDA0003883272240000029
The output is 0, which indicates that the additional product needing to be judged is not the matching product of the purchased product, and when the proportion of the additional product needing to be judged is higher
Figure FDA00038832722400000210
Not less than the additional commodity occupation rate threshold value
Figure FDA00038832722400000211
Time, additional commodity ratio judging function
Figure FDA00038832722400000212
The output is 1, which indicates that the additional commodity to be judged is a matching commodity of the purchased commodity.
5. The barcode-scanning wine selling system according to claim 1, wherein: the single purchase quantity recommending unit (40) comprises a same-kind commodity purchase quantity counting module (410), the same-kind commodity purchase quantity counting module (410) is used for counting single purchase information of each commodity, an optimal purchase quantity formulating module (420) is connected to an output end of the same-kind commodity purchase quantity counting module (410), the optimal purchase quantity formulating module (420) is used for determining the optimal single purchase quantity of different commodities according to the single purchase information of each commodity, and an output end of the optimal purchase quantity formulating module (420) is connected with a recommended quantity information output module (430).
6. The barcode-scanning wine-selling system according to claim 5, wherein: the output end of the collocation mode recommending unit (30) is connected with a data updating unit (70), the input end of the data updating unit (70) is also connected with a single purchase quantity recommending unit (40), and the output end of the data updating unit (70) and the sales quantity predicting unit (50).
7. The barcode-scanning wine selling system according to claim 6, wherein: the output end of the data updating unit (70) is connected with a database storage unit (80), and the output end of the database storage unit (80) is connected with the input end of the sales predicting unit (50).
8. The barcode-scanning wine selling system according to claim 7, wherein: the input end of the database storage unit (80) is connected with the output end of the sales volume prediction unit (50), and the database storage unit (80) is used for storing sales volume prediction information in different periods.
9. The barcode-scanning wine selling system according to claim 6, wherein: the output end of the single purchase amount recommending unit (40) is connected with a discount scheme making unit (90), the input end of the discount scheme making unit (90) is connected with the output end of the collocation mode recommending unit (30), and the discount scheme making unit (90) makes a corresponding discount scheme according to a wine collocation scheme and a single wine purchase amount collocation scheme.
CN202211236660.0A 2022-10-10 2022-10-10 Sweep a yard formula and sell wine system Withdrawn CN115545775A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117168081A (en) * 2023-11-03 2023-12-05 山东爱德信商用厨具有限公司 Intelligent control management system of fresh-keeping cabinet

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117168081A (en) * 2023-11-03 2023-12-05 山东爱德信商用厨具有限公司 Intelligent control management system of fresh-keeping cabinet
CN117168081B (en) * 2023-11-03 2024-01-05 山东爱德信商用厨具有限公司 Intelligent control management system of fresh-keeping cabinet

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