CN114663137A - Red envelope algorithm under grouping mode based on ERP system - Google Patents

Red envelope algorithm under grouping mode based on ERP system Download PDF

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Publication number
CN114663137A
CN114663137A CN202210231014.9A CN202210231014A CN114663137A CN 114663137 A CN114663137 A CN 114663137A CN 202210231014 A CN202210231014 A CN 202210231014A CN 114663137 A CN114663137 A CN 114663137A
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price
red
condition
group
grouping
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莫玉善
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0213—Consumer transaction fees
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0222—During e-commerce, i.e. online transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]

Abstract

The invention discloses a red packet algorithm under a grouping mode based on an ERP system, which comprises the following steps: step one, identifying a customer, a commodity, a group-combining type, a group-combining price, a commodity original price, a settlement price, the current group number and a red packet increment issuing percentage respectively; setting five grouping conditions; step three, setting a customer grouping type; and step four, setting an attribution rule of the red envelope and an algorithm of the red envelope amount. Compared with the prior art, the invention has the advantages that: this algorithm can be based on PC end or APP end's electricity merchant platform, 2 people, 4 people, 6 people, 12 people make up into a piece together and buy at random, enjoy the activity preferential, in every piece together, 50% of customers obtain the commodity of mood with piece together price, 50% of customers obtain certain amount of money red packet reward in addition, the clear and step of algorithm framework is reasonable, algorithm step design is simple and the function is complete, make things convenient for earlier stage and later maintenance, help improving user experience, and the suitability is good, and the facilitate promotion.

Description

Red envelope algorithm under grouping mode based on ERP system
Technical Field
The invention relates to the internet technology, in particular to a red envelope algorithm under a grouping mode based on an ERP system.
Background
An e-commerce platform is a platform for providing online transaction negotiation for enterprises or individuals. The enterprise electronic commerce platform is a management environment which establishes a virtual network space for carrying out business activities on the Internet and ensures the smooth operation of business; the system is an important place for coordinating and integrating information flow, cargo flow and fund flow in order, relevance and high-efficiency flow. Enterprises and merchants can fully utilize shared resources such as network infrastructure, payment platforms, security platforms, management platforms and the like provided by the e-commerce platform to effectively develop own commercial activities at low cost, and shopping and electronic red envelope based on the e-commerce platform are widely applied.
Disclosure of Invention
The technical problem to be solved by the invention is that the existing shopping and electronic red packet technology based on an e-commerce platform has poor practical applicability, complex architecture but function loss due to the defects in the design of architecture and algorithm flow, is inconvenient for early-stage manufacture and later-stage maintenance, has poor user experience and cannot meet the actual requirement.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a red envelope algorithm under a grouping mode based on an ERP system comprises the following steps:
step one, respectively marking the client, the commodity, the grouping type, the grouping price, the commodity original price, the settlement price, the current group number and the red packet increment issuing percentage, and specifically comprising the following steps of:
1) customer C1、C2、C3…CnTo identify;
2) for goods A1、A2、A3…AnTo identify;
3) the grouping types comprise 2 groups, 4 groups, 6 groups and 12 groups;
4) for piecing together P1、P2、P3…PnTo identify;
5) o for commodity original price1、O2、O3…OnTo identify;
6) for settlement of price S1、S2、S3…SnTo identify;
7) number of current groups N1、N2、N3…NnTo identify;
8) the red packet increment issuing percentage is identified by D and is independently set in a management background;
step two, taking the percentage of the settlement price of the commodity in the group-piecing price as the selection basis of the group-piecing type, and setting five group-piecing conditions:
1) condition 1: 70% Pn＜Sn≤80％Pn；
2) Condition 2: 60% Pn＜Sn≤70％Pn；
3) Strip for packaging articlesPiece 3: 50% Pn＜Sn≤60％Pn；
4) Condition 4: s. then≤50％Pn；
5) Condition 5: the current group number of 12 groups in 4 groups of groups formed at present is used as the basis of the number of people, and the current number of people is more than or equal to 10 and N12< 12 persons;
step three, setting six types of customer party based on the five conditions of party combining in the step two:
1) the method meets the conditions 1 and 5, and the patient directly enters a group of 12 people;
2) only meeting the condition 1, and directly entering into a 2-person group;
3) only the condition 2 is met, and the patient directly enters a group of 4 persons;
4) only the condition 3 is met, and the patient directly enters 6 groups;
5) only the condition 4 is met, and the patient directly enters a group of 12 persons;
6) the method meets the conditions 4 and 5, and directly enters into a 2-person group;
step four, setting an attribution rule of the red packet and an algorithm of the amount of the red packet based on the grouping type of the step three:
1) firstly, setting 50% of bargain probability and 50% of red envelope probability in each type of grouping, namely 50% of people in red envelope and 50% of people in commodity;
2) secondly, 2 persons who enter the 12-person group at last only have 1 middle red envelope and one middle commodity, and two persons cannot simultaneously middle red envelope or simultaneously middle commodity;
3) red packet amount is red packet base + (red packet increment X increment issue percentage D).
Compared with the prior art, the invention has the advantages that: this algorithm can be based on PC end or APP end's electricity merchant platform, 2 people, 4 people, 6 people, 12 people make up into a piece together and buy at random, enjoy the activity preferential, in every piece together, 50% of customers obtain the commodity of mood with piece together price, 50% of customers obtain certain amount of money red packet reward in addition, the clear and step of algorithm framework is reasonable, algorithm step design is simple and the function is complete, make things convenient for earlier stage and later maintenance, help improving user experience, and the suitability is good, and the facilitate promotion.
Further, the condition 1 in the second step means that the settlement price is greater than 70% and less than or equal to 80% of the piecemeal price, namely, 8-fold supply.
Further, condition 2 in step two means that the settlement price is greater than 60% and less than or equal to 70% of the block price, i.e. 7-fold supply.
Further, the condition 3 in the second step means that the settlement price is more than 50% and less than or equal to 60% of the piecing price, namely 6-fold supply.
Further, the condition 4 in the second step means that the settlement price is less than or equal to 50% of the lump sum price, namely 5-fold supply.
Detailed Description
When the invention is implemented specifically, the red envelope algorithm under the grouping mode based on the ERP system comprises the following steps:
step one, respectively marking the client, the commodity, the grouping type, the grouping price, the commodity original price, the settlement price, the current group number and the red packet increment issuing percentage, and specifically comprising the following steps of:
1) customer C1、C2、C3…CnTo identify;
2) commodity A1、A2、A3…AnTo identify;
3) the grouping types comprise 2 groups, 4 groups, 6 groups and 12 groups;
4) p for uniting price1、P2、P3…PnTo identify, if there is a return, PGoods returningMarking;
5) o for commodity original price1、O2、O3…OnTo identify;
6) for settlement of price S1、S2、S3…SnTo mark, if there is return goods, use SGoods returningMarking;
7) n for the current group of people1、N2、N3…NnTo identify;
8) the red packet increment issuing percentage is identified by D and is independently set in a management background;
step two, taking the percentage of the settlement price of the commodity in the group-piecing price as the selection basis of the group-piecing type, and setting five group-piecing conditions:
1) condition 1: 70% Pn＜Sn≤80％Pn；
2) Condition 2: 60% Pn＜Sn≤70％Pn；
3) Condition 3: 50% Pn＜Sn≤60％Pn；
4) Condition 4: sn≤50％Pn；
5) Condition 5: the current group number of 12 groups in 4 groups of groups formed at present is used as the basis of the number of people, and the current number of people is more than or equal to 10 and N12< 12 persons;
step three, setting six types of customer party based on the five conditions of party combining in the step two:
1) the method meets the conditions 1 and 5, and the patient directly enters a group of 12 people;
2) only meeting the condition 1, and directly entering into a 2-person group;
3) only the condition 2 is met, and the patient directly enters a group of 4 persons;
4) only the condition 3 is met, and the patient directly enters 6 groups;
5) only the condition 4 is met, and the patient directly enters a group of 12 persons;
6) the method meets the conditions 4 and 5, and directly enters into a 2-person group;
step four, setting an attribution rule of the red packet and an algorithm of the amount of the red packet based on the grouping type of the step three:
1) firstly, setting 50% of transaction probability and 50% of red envelope probability in each type of grouping, namely 50% of people in red envelope and 50% of people in commodity;
2) secondly, 2 persons who enter the group of 12 persons last only have 1 middle red packet and one middle commodity, and two persons cannot simultaneously middle red packets or simultaneously middle commodities;
3) red packet amount is red packet base + (red packet increment X increment issue percentage D).
Customer C1 purchases one article a1 of a resident merchant, customer C2 purchases one article a2 of a resident merchant, customer C3 purchases one article A3 of a resident merchant, customer C4 purchases one article a4 of a resident merchant, customer C5 purchases one article A5 of a resident merchant, customer C6 purchases one article a6 of a merchant, customer C7 purchases one article a7 of a resident merchant, customer C8 purchases one article A8 of a resident merchant, customer C9 purchases one article a9 of a resident merchant, customer C10 purchases one article a10 of a resident merchant, customer C11 purchases one article a11 of a merchant, customer C12 purchases one article a12 of a resident merchant, different customers purchase different articles, platform opportunisters 2, 4, 6, 12, make a combination into one article for buying, make a discount for each group, enjoy each group of purchases, 50% of the customers obtain mood merchandise at a piecing price, and the other 50% of the customers obtain a certain amount of bonus for the red envelope.
Further, the condition 1 in the second step means that the settlement price is greater than 70% and less than or equal to 80% of the piecemeal price, namely, 8-fold supply.
Further, the condition 2 in the second step means that the settlement price is greater than 60% and less than or equal to 70% of the lump sum price, namely, 7-fold supply.
Further, the condition 3 in the second step means that the settlement price is more than 50% and less than or equal to 60% of the piecing price, namely 6-fold supply.
Further, the condition 4 in the second step means that the settlement price is less than or equal to 50% of the lump sum price, namely 5-fold supply.
Algorithm example of the money amount of the red envelope:
1. 2 groups
Red packet number (P)1–P1 returning goods)×10％，
Red packet increment [ [ (P)1-P1 returning goods)-(S1-S1 returning goods)]–2(P1-S1 returning goods)×10％，
The red packet amount (including the red packet base number +0.8 red packet increment) of 1 person in the 2 people group is sent to the same person in the middle red packet.
2. 4-person ball
Red packet number [ [ (P)1–P1 returning goods)+(P2-P2 goods return)]×10％÷2，
Red packet increment [ [ (P)1–P1 returning goods)-(S1-S1 returning goods)+(P2–P2 goods return)-(S2-S2 goods returned)]-2[(P1–P1 returning goods)+(P2-P2 goods return)]×10％，
The number of the red packet in the 4-person group is 2, wherein the red packet amount of 1 person is the red packet base number, and the red packet amount of 1 person is the red packet base number +0.8 red packet increment.
3. 6 people group
Red packet number [ [ (P)1–P1 returning goods)+(P2-P2 goods returned)+(P3-P3 returning goods)]×10％÷3，
Red packet increment [ (P)1–P1 returning goods)-(S1-S1 returning goods)+(P2–P2 goods return)-(S2-S2 goods return)+(P3–P3 returning goods)-(S3-S3 returning goods)]-2[(P1–P1 returning goods)+(P2-P2 goods return)+(P3-P3 returning goods)]×10％，
The number of red-envelope people in the 6 groups is 3, wherein the amount of red-envelope of 2 people is the base number of red-envelope, and the amount of red-envelope of 1 person is the base number of red-envelope plus 0.8 red-envelope increment. And (4) random.
4. 12 people group
Red packet number [ [ (P)1–P1 returning goods)+(P2-P2 goods returned)+(P3-P3 returning goods)+(P4-P4 goods returned)+(P5-P5 return goods)+(P6-P6 goods return)]×10％÷6，
Red packet increment [ [ (P)1–P1 returning goods)-(S1-S1 returning goods)+(P2–P2 goods return)-(S2-S2 goods returned)+(P3–P3 returning goods)-(S3-S3 returning goods)+(P4-P4 goods return)-(S4-S4 goods return)+(P5-P5 return goods)-(S5-S5 return goods)+(P6-P6 goods return)-(S6-S6 goods return)-2[(P1–P1 returning goods)+(P2-P2 goods returned)+(P3-P3 returning goods)+(P4-P4 goods returned)+(P5-P5 return goods)+(P6-P6 goods return)]×10％，
The number of red packet people in the 12 people group is 6, wherein 2 red packet money is the red packet base number, and the other 4 red packet money is the red packet base number +0.05 multiplied by 0.8 red packet increment, the red packet base number +0.1 multiplied by 0.8 red packet increment, the red packet base number +0.2 multiplied by 0.8 red packet increment and the red packet base number +0.65 multiplied by 0.8 red packet increment respectively. According to the mode, the customer receives goods and confirms that the red packet can be changed from the account waiting to be posted to the account posted to become the balance of the red packet, and then the red packet can be transferred to my balance to cash out.
While there have been shown and described the fundamental principles and principal features of the invention and advantages thereof, it will be understood by those skilled in the art that the invention is not limited by the embodiments described above, which are given by way of illustration of the principles of the invention, but is susceptible to various changes and modifications without departing from the spirit and scope of the invention as defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (5)

1. A red envelope algorithm under a grouping mode based on an ERP system is characterized by comprising the following steps:
step one, respectively marking the client, the commodity, the grouping type, the grouping price, the commodity original price, the settlement price, the current group number and the red packet increment issuing percentage, and specifically comprising the following steps of:
1) customer C1、C2、C3…CnTo identify;
2) for goods A1、A2、A3…AnTo identify;
3) the grouping types comprise 2 groups, 4 groups, 6 groups and 12 groups;
4) p for uniting price1、P2、P3…PnTo identify;
5) o for commodity original price1、O2、O3…OnTo identify;
6) for settlement of price S1、S2、S3…SnTo identify;
7) number of current groups N1、N2、N3…NnTo identify;
8) the red packet increment issuing percentage is identified by D and is independently set in a management background;
step two, taking the percentage of the settlement price of the commodity in the group-piecing price as the selection basis of the group-piecing type, and setting five group-piecing conditions:
1) condition 1: 70% Pn＜Sn≤80％Pn；
2) Condition 2: 60% Pn＜Sn≤70％Pn；
3) Condition 3: 50% Pn＜Sn≤60％Pn；
4) Condition 4: sn≤50％Pn；
5) Condition 5: the current group number of 12 groups in 4 groups is used as the basis of the number of people, and the current number of people is not less than 10 and not more than N12< 12 persons;
step three, setting six types of customer party based on the five conditions of party combining in the step two:
1) the method meets the conditions 1 and 5, and the patient directly enters a group of 12 people;
2) only meeting the condition 1, and directly entering into a 2-person group;
3) only the condition 2 is met, and the patient directly enters a group of 4 persons;
4) only the condition 3 is met, and the patient directly enters 6 groups;
5) only the condition 4 is met, and the patient directly enters a group of 12 persons;
6) the method meets the conditions 4 and 5, and directly enters into a 2-person group;
step four, setting an attribution rule of the red envelope and an algorithm of the red envelope amount based on the grouping type of the step three:
1) firstly, setting 50% of transaction probability and 50% of red envelope probability in each type of grouping, namely 50% of people in red envelope and 50% of people in commodity;
2) secondly, 2 persons who enter the group of 12 persons last only have 1 middle red packet and one middle commodity, and two persons cannot simultaneously middle red packets or simultaneously middle commodities;
3) red packet amount is red packet base + (red packet increment X increment issue percentage D).
2. The red-envelope algorithm under the grouping mode based on the ERP system according to claim 1, wherein: and the condition 1 of the second step refers to that the settlement price is more than 70 percent of the block price and less than or equal to 80 percent of the block price, namely 8-fold supply.
3. The red-envelope algorithm under the grouping mode based on the ERP system according to claim 1, wherein: the condition 2 of the second step means that the settlement price is more than 60% and less than or equal to 70% of the piecing price, namely 7-fold supply.
4. The red envelope algorithm in the grouping mode based on the ERP system according to claim 1, wherein: the condition 3 of the second step means that the settlement price is more than 50% of the piecing price and less than or equal to 60% of the piecing price, namely 6-fold supply.
5. The red-envelope algorithm under the grouping mode based on the ERP system according to claim 1, wherein: and the condition 4 of the second step refers to that the settlement price is less than or equal to 50 percent of the grouping price, namely 5-fold supply.
CN202210231014.9A 2022-03-10 2022-03-10 Red envelope algorithm under grouping mode based on ERP system Pending CN114663137A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116302077A (en) * 2023-05-18 2023-06-23 天津金城银行股份有限公司 Custom service data configuration method, device, computer equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116302077A (en) * 2023-05-18 2023-06-23 天津金城银行股份有限公司 Custom service data configuration method, device, computer equipment and storage medium

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