CN117035861B - Digital economic community retail distributed computing system based on shared consumption profit - Google Patents
Digital economic community retail distributed computing system based on shared consumption profit Download PDFInfo
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Abstract
The invention relates to the technical field of shared consumption, in particular to a digital economic community retail distributed computing system based on shared consumption profits. The system comprises a private domain operation management module, an operation scheme matching module and a promotion rule making module. According to the invention, the private domain operation management module is used for collecting information of passenger sources around off-line shops, promoting the off-line shops, providing commodity information existing in the off-line shops for the passenger sources according to the requirements of the various passenger sources of the off-line shops, promoting customer consumption, matching an operation scheme for the corresponding shops according to a commodity supply channel and a shop sales state through the operation scheme matching module, formulating a promotion rule through the promotion rule formulating module, determining a commodity discount rate adjustment range, an integral gift rule, various weight value allocations and transaction residual value allocation rules, formulating residual value allocation rules generated by commodity purchase each time, and reasonably allocating residual values generated by commodity purchase each time of the passenger sources.
Description
Technical Field
The invention relates to the technical field of shared consumption, in particular to a digital economic community retail distributed computing system based on shared consumption profits.
Background
The electronic commerce is taken as the main part on the Internet, so that the entity is difficult to operate, but the instantaneity, the credibility and the experience of the electronic commerce are not replaced on line, as the population of the birth is greatly reduced and the population is aged and increased, many problems occur in the future for the old, the national community entity retail supermarket small store surrounds communities, schools, factories and the like, children and old people which cannot be contacted by the electronic commerce are owned, all stores have infinite natural fixed flow, the system is huge, one community retail store has the problems of difficult goods intake, expensive price intake, no goods source and the like, so that the store profit is low, the normal operation cannot be realized, and the traditional consumption of each family is only in a form of spending goods, so that the consumption enthusiasm of people can be influenced when the economic problem occurs;
in order to address the above issues, there is a need for a digital economic community retail distributed computing system based on shared consumption profits.
Disclosure of Invention
It is an object of the present invention to provide a digital economic community retail distributed computing system based on shared consumption profits to solve the problems presented in the background art above.
In order to achieve the above purpose, the digital economic community retail distributed computing system based on shared consumption profit comprises a store systematic management module, a supply channel planning module, a private domain operation management module, an operation scheme matching module and a promotion rule making module;
The store systematic management module is used for managing off-line store operation work;
The store systematic management module input end is connected with the delivery channel planning module output end, and the delivery channel planning module combines the store operation state under the line to provide the adaptive delivery channels for different off-line stores;
The input end of the store systemization management module is also connected with the output end of the private domain operation management module, and the private domain operation management module collects passenger source information around off-line stores and promotes the off-line stores;
The private domain operation management module output end is connected with the operation scheme matching module input end, the operation scheme matching module input end is also connected with the delivery channel planning module output end, the operation scheme matching module output end is connected with the store systematic management module input end, and the operation scheme matching module combines the delivery channel and store sales state to match the operation scheme for the corresponding store;
The output end of the store systemization management module is connected with the input end of the promotion rule making module, and the promotion rule making module is used for making promotion rules and determining commodity discount rate adjustment range, point giving rules, weight value distribution and transaction residual value distribution rules.
As a further improvement of the technical scheme, the promotion rule making module comprises a discount rate adjusting unit, a point giving rule making unit, a weight value distributing unit and a transaction residual value distributing unit;
The discount rate adjusting unit is used for determining the discount rate range of the commodity in the off-line store during sales promotion;
The point giving rule making unit makes corresponding point giving rules for each role according to discount rates selected by merchants;
the weight value distribution unit divides each role and determines the integral giving weight corresponding to each divided role;
The transaction residual value distribution unit establishes a residual value calculation algorithm and calculates the residual value after purchasing the commodity corresponding to each role.
As a further improvement of the present technical solution, the point giving rule in the point giving rule making unit includes the steps of:
S1, planning a discount rate threshold value by combining the sales state of a current online store;
S2, dividing and obtaining roles of the integral according to the discount rate threshold;
s3, identifying discount rate selected by the merchant, and comparing the discount rate with a discount rate threshold.
As a further improvement of the present technical solution, the dividing of the point giving weights corresponding to the respective roles in the weight value distribution unit includes the following steps:
s10, determining integral allocation corresponding to each role;
S20, calculating the overall integral allocation amount, and calculating the corresponding weight duty ratio of each role;
s30, determining the duty ratio of the integral use part and the unusable part.
As a further improvement of the technical scheme, the transaction residual value distribution unit makes a residual value calculation algorithm as follows:
；①
；②
；③
；④
；⑤
；⑥
In ① of the above-mentioned processes, Discount rate chosen for merchant,/>For the amount before the commodity is discounted,/>For the merchant purchasing the commodity after discount to obtain the amount, in ②,/>For the benefit of the platform, formula ③/>For the operation cost of the platform,/>In ④,/>, as a ratio of platform operation costsFor the amount of platform feedback,/>For the sum of the platform feedback, J ta is the total amount of credits that the platform feedback can generate,/>, in ⑤In the formula ⑥, J ut is an integral value obtained for each character, and "/>The weight duty ratio for the current character.
As a further improvement of the technical scheme, the weight value distribution unit is used for planning role point conversion use.
As a further improvement of the technical scheme, the output end of the sales promotion rule making module is connected with a data enabling management module, the input end of the data enabling management module is connected with the output end of the store systematic management module, and the data enabling management module is used for counting commodity sales conditions in sales promotion processes of all off-line stores in real time.
Compared with the prior art, the invention has the beneficial effects that:
in the digital economic community retail distributed computing system based on shared consumption profit, the private domain operation management module is used for collecting information of customer sources around off-line shops, promoting the off-line shops, providing commodity information existing in the off-line shops for the customer sources according to the requirements of all the customer sources of the off-line shops, promoting customer consumption, matching an operation scheme for corresponding shops according to the commodity supply channel and the sales state of the shops through the operation scheme matching module, formulating a promotion rule through the promotion rule formulating module, determining a commodity discount rate adjustment range, an integral giving rule, various weight value distribution and transaction residual value distribution rule, formulating residual value distribution rule generated by commodity purchase each time, and reasonably distributing residual value generated by commodity purchase each time of the customer sources.
Drawings
Fig. 1 is an overall flow diagram of the present invention.
The meaning of each reference sign in the figure is:
10. a store systemization management module;
20. A supply channel planning module;
30. a private domain operation management module;
40. an operation scheme matching module;
50. a sales promotion rule making module; 510. discount rate adjusting means; 520. an integral giving rule making unit; 530. a weight value distribution unit; 540. a transaction residual value allocation unit;
60. and a data enabling management module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.
Referring to fig. 1, a digital economic community retail distributed computing system based on shared consumption profit is provided, which includes a store systemization management module 10, a supply channel planning module 20, a private domain operation management module 30, an operation scheme matching module 40, and a promotion rule making module 50;
The store systematic management module 10 is used for managing off-line store operation work;
The input end of the store systemization management module 10 is connected with the output end of the supply channel planning module 20, and the supply channel planning module 20 is combined with the on-line store running state to provide the adapted supply channels for different on-line stores;
The input end of the store systemization management module 10 is also connected with the output end of the private domain operation management module 30, and the private domain operation management module 30 collects the passenger source information around off-line stores and promotes the off-line stores;
the output end of the private domain operation management module 30 is connected with the input end of the operation scheme matching module 40, the input end of the operation scheme matching module 40 is also connected with the output end of the supply channel planning module 20, the output end of the operation scheme matching module 40 is connected with the input end of the store systematic management module 10, and the operation scheme matching module 40 combines the supply channel and the store sales state to match the operation scheme for the corresponding store;
The output end of the store systemization management module 10 is connected with the input end of the promotion rule making module 50, and the promotion rule making module 50 is used for making promotion rules and determining the adjustment range of the commodity discount rate, the point giving rule, each weight value distribution and the transaction residual value distribution rule.
The electronic commerce is taken as the main part on the Internet, so that the entity is difficult to operate, but the instantaneity, the credibility and the experience of the electronic commerce are not replaced on line, as the population of the birth is greatly reduced and the population is aged and increased, many problems occur in the future for the old, the national community entity retail supermarket small store surrounds communities, schools, factories and the like, children and old people which cannot be contacted by the electronic commerce are owned, all stores have infinite natural fixed flow, the system is huge, one community retail store has the problems of difficult goods intake, expensive price intake, no goods source and the like, so that the store profit is low, the normal operation cannot be realized, and the traditional consumption of each family is only in a form of spending goods, so that the consumption enthusiasm of people can be influenced when the economic problem occurs;
In order to cope with the above problems, in the process of community retail planning, firstly, the store systemization management module 10 is used for managing the operation work of off-line stores, checking the commodity types, the stock quantity, the sales amount and the like of the off-line stores, simultaneously combining the operation states and the geographic positions of the off-line stores, providing the adapted supply channels for different off-line stores through the supply channel planning module 20, for example, planning the supplier closest to the supply channel as a matching supplier or comparing the supply prices of all surrounding suppliers, taking the supplier with the lowest supply price as the matching supplier, thereby constructing a high-quality low-price supply channel for the merchant, improving the commodity profit point, reducing the time cost and the labor cost of the merchant, collecting the information of the ambient passenger sources of the off-line stores through the private domain operation management module 30, and popularizing the off-line stores, providing commodity information existing in off-line shops for the customers in combination with the demands of the off-line shops, promoting the customers to consume, improving the shops're-purchase rate, sales and price, then an operation scheme matching module 40 combines the sales states of the shops with the supply channels and the shops to match operation schemes for the corresponding shops, namely, combining the current shops sales level, determining the sales efficiency of each commodity, formulating the corresponding supply scheme according to each sales efficiency, simultaneously positioning the low-sales commodity and the high-sales commodity of each off-line shop, reasonably planning the commodity intake, formulating promotion rules through a promotion rule formulation module 50 for promoting the customers to determine the commodity discount rate adjustment range, the point giving rule, each weight value distribution and the transaction residual value distribution rule, namely, the merchant adjusts the discount rate of each commodity according to the corresponding commodity purchase amount of the off-line shops, and meanwhile, determining the points obtained when each product is purchased, carrying out positioning division on different roles in order to distinguish different purchasing groups and point using modes, wherein weights for obtaining the points by matching the different roles are different, providing calculation standards as post-point conversion, formulating a residual value distribution rule generated by commodity purchase each time, and reasonably distributing the residual value generated by commodity purchase each time of a passenger source.
In addition, the promotion rule formulation Module 50 includes a discount Rate adjustment Unit 510, an integral gifting rule formulation Unit 520, a weight value distribution Unit 530, and a transaction residual value distribution Unit 540;
the discount rate adjustment unit 510 is used for determining discount rate range of goods in off-line store during sales promotion;
the point presentation rule formulation unit 520 formulates a corresponding point presentation rule for each character according to the discount rate selected by the merchant;
The weight value allocation unit 530 divides each character and determines the point presentation weight corresponding to each divided character;
The transaction remaining value allocation unit 540 establishes a remaining value calculation algorithm to calculate the remaining value after purchasing the commodity corresponding to each character.
In the process of making the promotion rule, the discount rate adjustment unit 510 is used to determine the discount rate range of the commodity in the off-line store during the promotion, the merchant can select the commodity discount rate suitable for the off-line store in the discount rate range, then the point giving rule making unit 520 makes the corresponding point giving rule for each role according to the discount rate selected by the merchant, when the customer purchases the commodity, the point giving rule is provided for the current customer and the point corresponding to the other role or the point provided for the merchant, the weight value distribution unit 530 divides each role, determines the point giving weight corresponding to each divided role, for example, the member is different from the common customer, the point giving weight corresponding to the member is different, the transaction residual value distribution unit 540 makes the residual value calculation algorithm, calculates the residual value obtained after the commodity is purchased, for example, the use channel obtained after the point is converted into the deduction when the commodity is purchased next time, or the deduction is stored in the pension according to the conversion standard.
Since the purchase amount of the customer source is increased when the discount rate is too high to affect the profit of the merchant during the commodity sales process, but the profit of the merchant is too low, if the discount rate is too low, the purchase amount of the customer source is reduced, and in order to balance the profit of the two parties, the point giving rule in the point giving rule making unit 520 further comprises the following steps:
S1, planning a discount rate threshold value by combining the sales state of a current online store;
S2, dividing and obtaining roles of the integral according to the discount rate threshold;
s3, identifying discount rate selected by the merchant, and comparing the discount rate with a discount rate threshold.
Firstly, a discount rate threshold is planned according to the sales state of a current off-line store, roles (members, merchants, recommenders, service providers, regional management, bonus pools and charitable funds) for obtaining points are divided according to the discount rate threshold, and then the discount rate selected by the merchant is identified, points (including 9.8 folds) are normally given to each role (except the merchant) above 9.8 folds of each commodity compared with the discount rate threshold, the merchants below 9.8 folds have point distribution, and other roles do not exist.
Still further, the division of the bonus points giving weight corresponding to each character in the weight value allocation unit 530 includes the steps of:
s10, determining integral allocation corresponding to each role;
S20, calculating the overall integral allocation amount, and calculating the corresponding weight duty ratio of each role;
s30, determining the duty ratio of the integral use part and the unusable part.
In the process of dividing the integral giving weights corresponding to the roles, the integral allocation corresponding to the roles is firstly determined, and then the integral allocation amount is counted to obtain the corresponding weight duty ratio (integral giving weight) of the roles, namely the weight duty ratio = weight duty ratio +.In order to ensure the normal operation of the platform, the duty ratio of the integral using part and the unusable part needs to be determined, namely, the integral using part is the operation cost of the platform, and the unusable part is dedicated for distributing each role in the feedback market.
Specifically, the transaction residual value allocation unit 540 formulates a residual value calculation algorithm as follows:
；①
；②
；③
；④
；⑤
；⑥
In ① of the above-mentioned processes, Discount rate chosen for merchant,/>For the amount before the commodity is discounted,/>For the merchant purchasing the commodity after discount to obtain the amount, in ②,/>For the benefit of the platform, formula ③/>For the operation cost of the platform,/>In ④,/>, as a ratio of platform operation costsFor the amount of platform feedback,/>For the sum of the platform feedback, J ta is the total amount of credits that the platform feedback can generate,/>, in ⑤In the formula ⑥, J ut is an integral value obtained for each character, and "/>The weight ratio of the current role is 55.865%, 22.905%, 1.675%, 11.173%, 2.793%, 3.910% and 1.675% respectively, for example, the roles of member, merchant, recommender, service provider, district management, bonus pool and charity foundation, the commodity price/>Discount rate chosen by merchants/>, 93 yuanThe amount of the flat feedback is 9.5 folds, and the ratio of the amount of the flat feedback is/>70% Of platform operation cost ratio/>At this time, the integral amount J ut for each character needs to be calculated:
First, calculating the amount obtained by the merchant purchasing the commodity after discounting ；
93 YuanX 9.5 fold/>= 88.35 Yuan/>
Second, calculating the income obtained by the platform；
93 Yuan88.35 Th Yuan/>=4.65 Yuan/>
Thirdly, calculating the operation cost of the platform；
4.65 Yuan×30%/>=1.395 Yuan/>
Fourth, calculating the amount fed back by the platform；
4.65 Yuan×70%/>= 3.255 Yuan/>
Fifth step, calculate the total amount J of integration that the distribution cost can produce ta;
3.255 Yuan÷/>X 100 = 5208 minutes J ta
Sixth, calculate the integral that each role should be allocated
[ 93-93 Yuan×9.5 fold ] ×70% ≡0.0625×100× 55.865% = 2909.4 member
[ 93-93 Yuan X9.5 fold ]. Times.70%. Times.0.0625X 100X 22.905%. Apprxeq 1192.8 merchant 32% -50% difference
{ 93-93 Yuan x 9.5 fold } x70%/(0.0625 x 100 x 1.675% = 87.2 merchant recommended rewards
{ 93-93 X 9.5 fold } x70%/(0.0625 x 100 x 11.173% = 581.8 min service provider
{ 93-93 X 9.5 fold } ×70% ++0.0625 x 100 x 2.793% = 145.45 min large area
{ 93-93 X 9.5 fold } ×70% ++0.0625 x 100 x 3.910% = 203.6 prize pool
{ 93-93 Yuan×9.5 fold } ×70% ++0.0625×100×1.675% = 87.2 cm benefit.
The weight value assignment unit 530 is used to plan the role point conversion use. The role is positioned as a member's crowd, and in the point obtained after the commodity is purchased, a pension proportion range will need to be formulated, the amount converted by the pension proportion will enter the pension of the member, for example, after the member obtains 1000 points, the point will be divided into two parts, wherein one part = 1000 x pension proportion, the part enters the pension of the member, the other part = 1000-1000 x pension proportion is used for member self planning, and meanwhile, the pension proportion range is used for the member to select the proportion in the pension of the member.
Further, the output end of the sales promotion rule making module 50 is connected with a data enabling management module 60, the input end of the data enabling management module 60 is connected with the output end of the store systemization management module 10, the data enabling management module 60 is used for counting commodity sales conditions in the sales promotion process of each off-line store in real time, commodity sales conditions in the sales promotion process of each off-line store are counted in real time through the data enabling management module 60, data generated by a merchant are refined and analyzed, the current problem of the store is found in time, store operation and a salesman communicate to the store in time, and the operation loss of the store is reduced.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (1)
1. A digital economic community retail distributed computing system based on shared consumption profits, characterized by: the system comprises a store systematic management module (10), a supply channel planning module (20), a private domain operation management module (30), an operation scheme matching module (40) and a promotion rule making module (50);
The store systematic management module (10) is used for managing off-line store operation work;
The input end of the store systematic management module (10) is connected with the output end of the supply channel planning module (20), and the supply channel planning module (20) is combined with the off-line store running state to provide the adapted supply channels for different off-line stores;
The input end of the store systemization management module (10) is also connected with the output end of the private domain operation management module (30), and the private domain operation management module (30) collects passenger source information around off-line stores and promotes the off-line stores;
The private domain operation management module (30) output end is connected with the operation scheme matching module (40) input end, the operation scheme matching module (40) input end is also connected with the supply channel planning module (20) output end, the operation scheme matching module (40) output end is connected with the store systematic management module (10) input end, and the operation scheme matching module (40) combines the supply channel and store sales state to match operation schemes for corresponding stores;
the output end of the store systemization management module (10) is connected with the input end of the sales promotion rule making module (50), and the sales promotion rule making module (50) is used for making sales promotion rules and determining a commodity discount rate adjustment range, an integral giving rule, various weight value distribution and a transaction residual value distribution rule;
the promotion rule making module (50) comprises a discount rate adjusting unit (510), a point giving rule making unit (520), a weight value distributing unit (530) and a transaction residual value distributing unit (540);
The discount rate adjustment unit (510) is used for determining discount rate range of goods in off-line store during promotion;
the point giving rule making unit (520) makes corresponding point giving rules for each role according to the discount rate selected by the merchant;
the weight value distribution unit (530) divides each role and determines the integral giving weight corresponding to each divided role;
The transaction residual value distribution unit (540) establishes a residual value calculation algorithm and calculates the residual value after purchasing goods corresponding to each role;
In the process of making a sales promotion rule, firstly, determining a discount rate range of commodities in an off-line store during sales promotion through a discount rate adjustment unit (510), selecting commodity discount rates suitable for the off-line store in the discount rate range by merchants, then making corresponding point giving rules for all roles according to the discount rates selected by the merchants by an integral giving rule making unit (520), providing points corresponding to current passenger sources and other residual roles or providing points for the merchants according to the point giving rules after the passenger sources purchase the commodities, dividing all the roles by a weight value distribution unit (530), determining point giving weights corresponding to the divided roles, making a residual value calculation algorithm by a transaction residual value distribution unit (540), and calculating residual values corresponding to all the roles after the commodities are purchased, namely using channels obtained by the points;
The point presentation rule in the point presentation rule formulation unit (520) includes the steps of:
S1, planning a discount rate threshold value by combining the sales state of a current online store;
S2, dividing and obtaining roles of the integral according to the discount rate threshold;
s3, identifying discount rate selected by a merchant, and comparing the discount rate with a discount rate threshold;
firstly, planning a discount rate threshold by combining with the sales state of a current off-line store, and then dividing the roles of obtaining points according to the discount rate threshold, wherein the roles comprise members, merchants, recommenders, service providers, regional management, bonus pools and charitable funds, and then identifying discount rates selected by the merchants and comparing the discount rates with the discount rate threshold;
The division of the point giving weight corresponding to each role in the weight value distribution unit (530) includes the steps of:
s10, determining integral allocation corresponding to each role;
S20, calculating the overall integral allocation amount, and calculating the corresponding weight duty ratio of each role;
s30, determining the duty ratio of an integral use part and an unusable part;
In the process of dividing the integral giving weight corresponding to each role, firstly determining integral allocation corresponding to each role, then counting the integral allocation amount to obtain the corresponding weight ratio of each role, and determining the ratio of an integral using part and an unusable part, wherein the integral using part is the operation cost of the platform and the unusable part is special for allocating each role in the feedback market;
the transaction residual value allocation unit (540) formulates a residual value calculation algorithm as follows:
；①
；②
；③
；④
；⑤
；⑥
In ① of the above-mentioned processes, Discount rate chosen for merchant,/>For the amount before the commodity is discounted,/>For the merchant purchasing the commodity after discount to obtain the amount, in ②,/>For the benefit of the platform, formula ③/>For the operation cost of the platform,/>In ④,/>, as a ratio of platform operation costsFor the amount of platform feedback,/>For the sum of the platform feedback, J ta is the total amount of credits that the platform feedback can generate,/>, in ⑤In the formula ⑥, J ut is an integral value obtained for each character, and "/>The weight ratio of the current role;
the weight value allocation unit (530) is used for planning role integration conversion use;
The role is positioned as a crowd of the member, in the point obtained after the commodity is purchased, the range of the pension proportion is required to be formulated, and the amount converted by the pension proportion enters the pension of the member;
The output end of the sales promotion rule making module (50) is connected with a data enabling management module (60), the input end of the data enabling management module (60) is connected with the output end of the store systematic management module (10), and the data enabling management module (60) is used for counting commodity sales conditions in sales promotion processes of all off-line stores in real time.
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| CN111461755A (en) * | 2019-01-21 | 2020-07-28 | 北京京东尚科信息技术有限公司 | Method, system, device and storage medium for controlling offline store operation |
| CN113850651A (en) * | 2021-09-30 | 2021-12-28 | 广州品唯软件有限公司 | Off-line store distribution method and related equipment |
| CN115393015A (en) * | 2022-09-05 | 2022-11-25 | 苏州工业园区天下数码科技有限公司 | Commodity retail operation management system integrating internet marketing mode |
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| CN109784715A (en) * | 2019-01-11 | 2019-05-21 | 北京志广富庶农产品有限公司 | Shops's management system |
| CN114169928A (en) * | 2021-12-07 | 2022-03-11 | 广州宇中网络科技有限公司 | Novel store sales management method, system, equipment and readable storage medium |
| JP7174458B1 (en) * | 2021-12-16 | 2022-11-17 | 株式会社インサイト | PURCHASE SUPPORT METHOD, APPARATUS AND PROGRAM THEREOF |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111461755A (en) * | 2019-01-21 | 2020-07-28 | 北京京东尚科信息技术有限公司 | Method, system, device and storage medium for controlling offline store operation |
| CN113850651A (en) * | 2021-09-30 | 2021-12-28 | 广州品唯软件有限公司 | Off-line store distribution method and related equipment |
| CN115393015A (en) * | 2022-09-05 | 2022-11-25 | 苏州工业园区天下数码科技有限公司 | Commodity retail operation management system integrating internet marketing mode |
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