CN116308402A - Wine product selling management and control system based on big data - Google Patents
Wine product selling management and control system based on big data Download PDFInfo
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- 238000007726 management method Methods 0.000 claims abstract description 28
- 238000012550 audit Methods 0.000 claims abstract description 22
- 238000013439 planning Methods 0.000 claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 3
- 238000012384 transportation and delivery Methods 0.000 abstract description 7
- 230000001476 alcoholic effect Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000012797 qualification Methods 0.000 description 3
- 235000013334 alcoholic beverage Nutrition 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000013361 beverage Nutrition 0.000 description 1
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- 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
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- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a wine product selling management and control system based on big data, which relates to the technical field of wine product selling management and control, and aims to audit a region to be sold, which is acquired in real time, so that planning and arrangement of the objects to be sold are more accurately carried out through the audit of the region to be sold, the selling quantity of the objects to be sold in the planning region is ensured, and meanwhile, the requirements of each region on the objects to be sold are ensured to be met, so that the wine product selling management and control efficiency is improved, and the problem that the wine product is not matched with a proper selling region, so that the selling input cost of the wine product is wasted is avoided; and the delivery detection module carries out delivery detection on the over-examination area, further screens the over-examination area, prevents that the over-examination area from being unable to deliver in time after selling, and the over-examination area is used as the selling area to guarantee the selling efficiency, reduces the selling frequency of the to-be-sold objects, increases the storage duration of the to-be-sold objects and increases unnecessary cost.
Description
Technical Field
The invention relates to the technical field of wine product selling management and control, in particular to a wine product selling management and control system based on big data.
Background
The alcoholic beverage is an alcoholic beverage with a certain alcoholic strength, is a beverage which is frequently consumed by people, is more indispensable to drink when people live in the festival and relatives meet, but in the prior art, alcoholic products cannot accurately analyze selling areas and corresponding alcoholic types when being sold, so that the alcoholic products are sold with a management and control force, and the selling efficiency of the alcoholic products cannot be ensured;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a wine product selling management and control system based on big data, which is characterized in that an efficiency analysis module is used for carrying out efficiency analysis on a real-time determined selling area and judging whether the selling efficiency of the sold objects in the determined selling area meets the requirement, so that the real-time selling of the sold objects is managed and controlled, when the selling is abnormal, the selling nodes are orderly analyzed, the planning qualification of the selling nodes is ensured, and the unreasonable reduction of the selling management and control force of the selling nodes is avoided.
The aim of the invention can be achieved by the following technical scheme: the wine product selling management and control system based on big data comprises a selling management and control platform, wherein an address selection module, an address selection auditing module, a distribution detection module, an efficiency analysis module and a rectifying module are arranged in the selling management and control platform;
marking the wine products as to-be-sold objects, and setting the mark i as a natural number larger than 1; after the type of the to-be-sold object is determined in the current vending period, the site selection module carries out site selection on the to-be-sold object, acquires the to-be-sold area according to the historical demand of the to-be-sold object, carries out auditing on the to-be-sold area acquired in real time, and carries out auditing on the to-be-sold area acquired in real time after receiving an site selection auditing instruction, so that planning and arrangement of the to-be-sold object are carried out more accurately through the auditing on the to-be-sold area, and the to-be-sold area is divided into an over-auditing area or a non-over-auditing area according to the site selection auditing coefficient of the to-be-sold area;
after the over-examination area is determined, the distribution detection module carries out distribution detection on the over-examination area, the over-examination area is further screened, the selling area is determined through further screening, after the selling area is determined, the efficiency analysis module carries out efficiency analysis on the real-time determined selling area, whether the selling efficiency of the selling area is required or not is judged, if the selling efficiency of the selling area is required, the selling area and the corresponding matched selling objects are subjected to integer through the integer module, and the selling area is subjected to site selection again after the integer cannot be carried out.
According to the method, the system and the equipment, the current vending area of the articles to be sold is analyzed to obtain a historical vending period of the vending area, and the residual non-vending amount and the frequency of temporary vending in the historical vending period are acquired according to the historical vending period and the vending time of the last time node of the historical vending period in the vending area; the method comprises the steps of collecting the existing stock reducing speed of the to-be-sold objects in the replenishment stage in the historical selling period of the to-be-sold area; substituting the collected data in the historical selling period into an address selection auditing coefficient formula to obtain an address selection auditing coefficient G; and comparing the address selection audit coefficient G with an address selection audit coefficient threshold.
As a preferred implementation mode of the invention, if the address selection audit coefficient G exceeds the address selection audit coefficient threshold, judging that the corresponding area for sale is suitable for selling, judging the address selection audit of the corresponding area for sale as qualified, and marking the corresponding area for sale as an over-audit area; if the address selection auditing coefficient G does not exceed the address selection auditing coefficient threshold value, judging that the corresponding area is unsuitable for selling, judging that the address selection auditing of the corresponding area is unqualified, marking the corresponding area as a non-overseeing area, generating a continuous auditing instruction, sending the continuous auditing instruction to the address selection module, and auditing the next area to be sold after the address selection module receives the continuous auditing instruction.
As a preferred implementation mode of the invention, the over-examination area is analyzed for the distribution route, the maximum required time length of the required replenishment time and the completed replenishment time of any selling point in the over-examination area and the maximum coverage number of the sold points in any distribution route in the over-examination area are collected, and the required replenishment time length of the required replenishment time and the completed replenishment time of any selling point in the over-examination area and the coverage number of the sold points in any distribution route in the over-examination area are respectively compared with a maximum required time length threshold and a maximum coverage number threshold:
if the maximum required time length of the required replenishment time and the completed replenishment time of any selling point in the over-examination area exceeds a maximum required time length threshold, or the coverage number of the selling points in any distribution route in the over-examination area does not exceed a maximum coverage number threshold, judging that the distribution efficiency of the corresponding over-examination area is low, marking the corresponding over-examination area as a high-required distribution area, generating a re-addressing instruction and sending the re-addressing instruction to an addressing module; if the maximum required time length of the required replenishment time and the completed replenishment time of any selling point in the over-examination area does not exceed the maximum required time length threshold, and the coverage number of the selling points in any distribution route in the over-examination area exceeds the maximum coverage number threshold, judging that the distribution efficiency of the corresponding over-examination area is high, and marking the corresponding over-examination area as a low-required distribution area;
when the current area to be sold is screened, the area with low demand is selected preferentially, when the area with low demand is not selected, the area with high demand is screened, namely, the selling points with the front sorting are sorted from high to low according to the covering quantity of the selling points of the distribution route, and the selling points with the front sorting are selected preferentially.
As a preferred embodiment of the present invention, after determining the area for sale, the vending time period of the objects for sale in the area for sale is analyzed, the increasing time period of the vending amount in the vending time period is acquired, the maximum sales increasing speed difference of the objects for sale of different types in the increasing time period and the maximum difference of the real-time remaining amount of the objects for sale of different types in the increasing time period are acquired, and the maximum sales increasing speed difference of the objects for sale of different types in the increasing time period and the maximum difference of the real-time remaining amount of the objects for sale of different types in the increasing time period are analyzed:
if the maximum sales volume increase speed difference value of the different types of the objects to be sold in the increase period exceeds the increase speed difference value threshold, or the maximum difference value of the real-time residual quantity ratio of the different types of the objects to be sold in the increase period exceeds the maximum difference value of the residual quantity ratio, judging that the corresponding receiving amount of the objects to be sold in the area to be sold is unreasonable to set, and planning the types of the objects to be sold in the area to be sold; if the maximum sales volume increase speed difference value of the different types of the for-sale objects in the increase period does not exceed the increase speed difference value threshold value and the maximum residual volume ratio difference value of the different types of the for-sale objects in the increase period does not exceed the maximum residual volume ratio difference value threshold value, the corresponding receiving volume setting of the for-sale objects in the for-sale area is judged to be reasonable.
As a preferred embodiment of the invention, vending nodes are analyzed in a vending time period of a vending area, the stock ratio of the current to-be-sold objects at the starting time of an increasing time period in the vending area is collected, if the stock ratio of the current to-be-sold objects at the starting time of the increasing time period in the vending area exceeds a stock ratio threshold, the vending nodes are judged to be qualified in analysis, and the planning quantity of the current to-be-sold objects is increased; otherwise, if the stock ratio of the current to-be-sold objects does not exceed the stock ratio threshold at the starting time of the increasing period in the to-be-sold area, judging that the vending node analysis is unqualified, and adjusting the vending node of the current to-be-sold objects.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, the area for sale, which is acquired in real time, is audited, the planning and arrangement of the objects for sale are more accurately carried out through the audit of the area for sale, the sales of the objects for sale in the planning area is ensured, and meanwhile, the requirements of each area on the objects for sale are ensured to be met, so that the sales management and control efficiency of the wine products is improved, and the problem that the sales input cost of the wine products is wasted due to the fact that the wine products are not matched with the proper sales area is avoided.
According to the invention, the delivery detection module carries out delivery detection on the over-examination area, and the over-examination area is further screened to prevent the over-examination area from being incapable of timely delivering after selling, so that the over-examination area is taken as a selling area, the selling efficiency cannot be ensured, the selling frequency of the to-be-sold objects is reduced, the storage time of the to-be-sold objects is prolonged, and the unnecessary cost is increased; the efficiency analysis module is used for carrying out efficiency analysis on the real-time determined area to be sold, judging whether the sales efficiency of the object to be sold in the determined area to be sold meets the requirement, so that real-time sales of the object to be sold is managed and controlled, when sales are abnormal, the management and control force is reduced, meanwhile, rationality analysis is carried out on the sales nodes, planning qualification of the sales nodes is guaranteed, and unreasonable reduction of sales management and control force of the sales nodes is avoided.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic flow chart of a wine product vending control system based on big data of the present invention;
FIG. 2 is a schematic flow chart of the efficiency analysis module of the present invention.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description of the technical solutions of the present invention will be made in detail, but it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments of the present invention, with reference to the accompanying drawings in the embodiments of the present invention. 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.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1-2, a wine product selling management and control system based on big data comprises a selling management and control platform, wherein an address selection module, an address selection auditing module, a distribution detection module, an efficiency analysis module and a rectifying module are arranged in the selling management and control platform;
marking the wine products as to-be-sold objects, and setting the mark i as a natural number larger than 1; after determining the type of the to-be-sold object in the current vending period, the address selecting module selects the address of the to-be-sold object, acquires the to-be-sold area according to the historical demand of the to-be-sold object, and carries out auditing on the to-be-sold area acquired in real time, and meanwhile generates and sends an address selecting auditing instruction to the address selecting auditing module;
after receiving the site selection auditing instruction, the site selection auditing module audits the areas to be sold, and more accurately performs planning and arrangement of the objects to be sold through the auditing of the areas to be sold, so that the sales amount of the objects to be sold in the planning areas is ensured, and meanwhile, the requirements of each area on the objects to be sold are ensured to be met, thereby improving the sales management and control efficiency of the wine products, and preventing the wine products from being sold in the excessive waste due to the fact that the wine products are not matched with the proper sales areas;
analyzing according to a current to-be-sold area to obtain a historical selling period of the to-be-sold area, acquiring the residual unsold quantity in the to-be-sold area when the last time node of the historical selling period is restocked and the temporary restocking frequency in the historical selling period according to the historical selling period, and marking the residual unsold quantity in the to-be-sold area when the last time node of the historical selling period is restocked and the temporary restocking frequency in the historical selling period as SYL and BHP respectively; collecting the existing stock reduction speed of the articles to be sold in the replenishment phase in the historical sales cycle of the area to be sold, and marking the existing stock reduction speed of the articles to be sold in the replenishment phase in the historical sales cycle of the area to be sold as JDV;
substituting the collected data in the historical selling period into an address selection auditing coefficient formula to obtain an address selection auditing coefficient G, wherein the address selection auditing coefficient formula is as follows
Wherein f1, f2 and f3 are preset proportionality coefficients, f1, f2 and f3 are positive numbers larger than zero, and the arrangement sequence from large to small is f1, f2 and f3, and e is a natural number;
comparing the address selection audit coefficient G with an address selection audit coefficient threshold value:
if the address selection auditing coefficient G exceeds the address selection auditing coefficient threshold, judging that the corresponding area for sale is suitable for selling, judging that the address selection auditing of the corresponding area for sale is qualified, and marking the corresponding area for sale as an over-auditing area; if the address selection auditing coefficient G does not exceed the address selection auditing coefficient threshold value, judging that the corresponding to the to-be-sold area is not suitable for selling, judging that the address selection auditing of the corresponding to-be-sold area is not qualified, marking the corresponding to-be-sold area as a non-over-auditing area, generating a continuous auditing instruction, transmitting the continuous auditing instruction to the address selection module, and auditing the next to-be-sold area after the address selection module receives the continuous auditing instruction;
after the over-examination area is determined, the distribution detection module carries out distribution detection on the over-examination area, and the over-examination area is further screened to prevent the over-examination area from being distributed in time after being sold, so that the selling efficiency of the over-examination area serving as a selling area cannot be ensured, the selling frequency of the to-be-sold objects is reduced, the storage time of the to-be-sold objects is prolonged, and the unnecessary cost is increased;
analyzing the delivery route of the over-examination area, collecting the maximum required time length of the required replenishment time of any selling point in the over-examination area and the completed replenishment time and the maximum coverage number of the selling points in any delivery route in the over-examination area, and comparing the required replenishment time length of any selling point in the over-examination area and the completed replenishment time and the coverage number of the selling points in any delivery route in the over-examination area with the maximum required time length threshold and the maximum coverage number threshold respectively:
if the maximum required time length of the required replenishment time and the completed replenishment time of any selling point in the over-examination area exceeds a maximum required time length threshold, or the coverage number of the selling points in any distribution route in the over-examination area does not exceed a maximum coverage number threshold, judging that the distribution efficiency of the corresponding over-examination area is low, marking the corresponding over-examination area as a high-required distribution area, generating a re-addressing instruction and sending the re-addressing instruction to an addressing module;
if the maximum required time length of the required replenishment time and the completed replenishment time of any selling point in the over-examination area does not exceed the maximum required time length threshold, and the coverage number of the selling points in any distribution route in the over-examination area exceeds the maximum coverage number threshold, judging that the distribution efficiency of the corresponding over-examination area is high, and marking the corresponding over-examination area as a low-required distribution area;
selecting a low-demand distribution area preferentially when the current area to be sold is screened, and selecting a high-demand distribution area when the low-demand distribution area is not needed, namely sorting from high to low according to the coverage quantity of the selling points of the distribution route, and selecting selling points with the front sorting preferentially;
after the area for sale is determined, the efficiency analysis module carries out efficiency analysis on the real-time determined area for sale, judges whether the sales efficiency of the object for sale in the determined area for sale meets the requirement, so as to manage and control the real-time sale of the object for sale, carry out a whole when the sales is abnormal, and carry out rationality analysis on the sale node at the same time, ensure the planning qualification of the sale node, and avoid unreasonable reduction of the sale management and control force of the sale node;
analyzing the vending time period of the objects to be vended in the vending area, acquiring the increasing time period of the vending amount in the vending time period, acquiring the maximum sales amount increasing speed difference value of the objects to be vended of different types in the increasing time period and the maximum difference value of the real-time residual quantity ratio of the objects to be vended of different types in the increasing time period, and analyzing the maximum sales amount increasing speed difference value of the objects to be vended of different types in the increasing time period and the maximum difference value of the real-time residual quantity ratio of the objects to be vended of different types in the increasing time period:
if the maximum sales volume increase speed difference value of the different types of the objects to be sold in the increase period exceeds the increase speed difference value threshold, or the maximum difference value of the real-time residual quantity ratio of the different types of the objects to be sold in the increase period exceeds the maximum difference value of the residual quantity ratio, judging that the corresponding receiving amount of the objects to be sold in the area to be sold is unreasonable to set, and planning the types of the objects to be sold in the area to be sold;
if the maximum sales volume increase speed difference value of the different types of the objects to be sold in the increase period does not exceed the increase speed difference value threshold value, and the maximum residual volume ratio difference value of the different types of the objects to be sold in the increase period does not exceed the maximum residual volume ratio difference value threshold value, judging that the corresponding goods receiving volume of the objects to be sold in the area to be sold is set reasonably;
the vending node analysis is carried out on the vending time period of the vending area, the stock ratio of the current to-be-sold objects at the starting moment of the increasing time period in the vending area is collected, if the stock ratio of the current to-be-sold objects at the starting moment of the increasing time period in the vending area exceeds the stock ratio threshold, the vending node is judged to be qualified in analysis, and the planning quantity of the current to-be-sold objects is increased; otherwise, if the stock ratio of the current to-be-sold objects does not exceed the stock ratio threshold at the starting time of the increasing period in the to-be-sold area, judging that the analysis of the vending nodes is unqualified, and adjusting the vending nodes of the current to-be-sold objects, so that the management and control efficiency of the to-be-sold objects is improved;
and (3) rectifying the areas to be sold and the corresponding matched objects to be sold through the rectifying module, and re-locating the areas to be sold after the rectifying module cannot rectify the objects to be sold.
When the system is used, after the type of the to-be-sold object is determined in the current vending period, the site selection module performs site selection on the to-be-sold object, acquires the to-be-sold area according to the historical demand of the to-be-sold object, and audits the to-be-sold area acquired in real time, and after receiving the site selection audit instruction, the site selection audit module audits the to-be-sold area acquired in real time, more accurately performs planning and arrangement on the to-be-sold object through the audit of the to-be-sold area, and relatively divides the to be an over-audit area or a non-over-audit area according to the site selection audit coefficient of the to-be-sold area; after the over-examination area is determined, the distribution detection module carries out distribution detection on the over-examination area, the over-examination area is further screened, the selling area is determined through further screening, after the selling area is determined, the efficiency analysis module carries out efficiency analysis on the real-time determined selling area, whether the selling efficiency of the selling area is required or not is judged, if the selling efficiency of the selling area is required, the selling area and the corresponding matched selling objects are subjected to integer through the integer module, and the selling area is subjected to site selection again after the integer cannot be carried out.
The formulas are all formulas obtained by collecting a large amount of data for software simulation, and a formula close to a true value is selected, wherein coefficients in the formulas are set by the maximum person in the field according to actual conditions; 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. The wine product selling management and control system based on big data is characterized by comprising a selling management and control platform, wherein an address selection module, an address selection auditing module, a distribution detection module, an efficiency analysis module and a rectifying module are arranged in the selling management and control platform;
marking the wine products as to-be-sold objects, and setting the mark i as a natural number larger than 1; after the type of the to-be-sold object is determined in the current vending period, the site selection module carries out site selection on the to-be-sold object, acquires the to-be-sold area according to the historical demand of the to-be-sold object, carries out auditing on the to-be-sold area acquired in real time, and carries out auditing on the to-be-sold area acquired in real time after receiving an site selection auditing instruction, so that planning and arrangement of the to-be-sold object are carried out more accurately through the auditing on the to-be-sold area, and the to-be-sold area is divided into an over-auditing area or a non-over-auditing area according to the site selection auditing coefficient of the to-be-sold area;
after the over-examination area is determined, the distribution detection module carries out distribution detection on the over-examination area, the over-examination area is further screened, the selling area is determined through further screening, after the selling area is determined, the efficiency analysis module carries out efficiency analysis on the real-time determined selling area, whether the selling efficiency of the selling area is required or not is judged, if the selling efficiency of the selling area is required, the selling area and the corresponding matched selling objects are subjected to integer through the integer module, and the selling area is subjected to site selection again after the integer cannot be carried out.
2. The wine product selling management and control system based on big data according to claim 1, wherein the system is characterized in that the system is used for analyzing according to a vending area of a current object to be sold, acquiring a historical vending period of the vending area, acquiring the remaining unsold quantity of the vending period in the vending area when the vending period is completed according to a last time node of the historical vending period and the frequency of temporary vending in the historical vending period; the method comprises the steps of collecting the existing stock reducing speed of the to-be-sold objects in the replenishment stage in the historical selling period of the to-be-sold area; substituting the collected data in the historical selling period into an address selection auditing coefficient formula to obtain an address selection auditing coefficient G; and comparing the address selection audit coefficient G with an address selection audit coefficient threshold.
3. The wine product selling management and control system based on big data according to claim 2, wherein if the address auditing coefficient G exceeds the address auditing coefficient threshold, the corresponding area for sale is judged to be suitable for selling, the address auditing of the corresponding area for sale is judged to be qualified, and the corresponding area for sale is marked as an over-auditing area; if the address selection auditing coefficient G does not exceed the address selection auditing coefficient threshold value, judging that the corresponding area is unsuitable for selling, judging that the address selection auditing of the corresponding area is unqualified, marking the corresponding area as a non-overseeing area, generating a continuous auditing instruction, sending the continuous auditing instruction to the address selection module, and auditing the next area to be sold after the address selection module receives the continuous auditing instruction.
4. The wine product selling management and control system based on big data according to claim 1, wherein the over-examination area is analyzed in a distribution route, the maximum required time length of the required replenishment time of any selling point in the over-examination area and the completed replenishment time and the maximum coverage number of the sold points in any distribution route in the over-examination area are collected, and the required replenishment time of any selling point in the over-examination area and the completed replenishment time length and the coverage number of the sold points in any distribution route in the over-examination area are compared with a maximum required time length threshold and a maximum coverage number threshold respectively:
if the maximum required time length of the required replenishment time and the completed replenishment time of any selling point in the over-examination area exceeds a maximum required time length threshold, or the coverage number of the selling points in any distribution route in the over-examination area does not exceed a maximum coverage number threshold, judging that the distribution efficiency of the corresponding over-examination area is low, marking the corresponding over-examination area as a high-required distribution area, generating a re-addressing instruction and sending the re-addressing instruction to an addressing module; if the maximum required time length of the required replenishment time and the completed replenishment time of any selling point in the over-examination area does not exceed the maximum required time length threshold, and the coverage number of the selling points in any distribution route in the over-examination area exceeds the maximum coverage number threshold, judging that the distribution efficiency of the corresponding over-examination area is high, and marking the corresponding over-examination area as a low-required distribution area;
when the current area to be sold is screened, the area with low demand is selected preferentially, when the area with low demand is not selected, the area with high demand is screened, namely, the selling points with the front sorting are sorted from high to low according to the covering quantity of the selling points of the distribution route, and the selling points with the front sorting are selected preferentially.
5. The wine product vending control system based on big data according to claim 1, wherein after determining the vending area, the vending time period of the objects to be vended in the vending area is analyzed, the increasing time period of the vending amount in the vending time period is acquired, the maximum sales increasing speed difference of the objects to be vended of different types in the increasing time period and the maximum difference of the real-time remaining amount of the objects to be vended of different types in the increasing time period are acquired, and the maximum sales increasing speed difference of the objects to be vended of different types in the increasing time period and the maximum difference of the real-time remaining amount of the objects to be vended of different types in the increasing time period are analyzed:
if the maximum sales volume increase speed difference value of the different types of the objects to be sold in the increase period exceeds the increase speed difference value threshold, or the maximum difference value of the real-time residual quantity ratio of the different types of the objects to be sold in the increase period exceeds the maximum difference value of the residual quantity ratio, judging that the corresponding receiving amount of the objects to be sold in the area to be sold is unreasonable to set, and planning the types of the objects to be sold in the area to be sold; if the maximum sales volume increase speed difference value of the different types of the for-sale objects in the increase period does not exceed the increase speed difference value threshold value and the maximum residual volume ratio difference value of the different types of the for-sale objects in the increase period does not exceed the maximum residual volume ratio difference value threshold value, the corresponding receiving volume setting of the for-sale objects in the for-sale area is judged to be reasonable.
6. The wine product selling management and control system based on big data according to claim 5, wherein the selling time period of the selling area is analyzed by a selling node, the stock ratio of the current to-be-sold object at the starting time of the increasing time period in the selling area is collected, if the stock ratio of the current to-be-sold object at the starting time of the increasing time period in the selling area exceeds the stock ratio threshold, the selling node is judged to be qualified, and the planning amount of the current to-be-sold object is increased; otherwise, if the stock ratio of the current to-be-sold objects does not exceed the stock ratio threshold at the starting time of the increasing period in the to-be-sold area, judging that the vending node analysis is unqualified, and adjusting the vending node of the current to-be-sold objects.
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