Unlock instant, AI-driven research and patent intelligence for your innovation.

Multi-level rebate method based on shopping platform

A platform and quantitative rebate technology, applied in business, equipment, data processing applications, etc., can solve the problems of precarious shopping platforms, damage to the interests of merchants and platforms, and reduced profits of merchants and platforms, so as to promote sustainable development and high returns Effect

Inactive Publication Date: 2015-12-16
JIANGSU HUIKU TIANXIA SOFTWARE TECH
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, with the vigorous development of shopping platforms, the number of shopping platforms is increasing, and the competition is more intense. Each shopping platform has launched a rebate system. The existing rebate methods can no longer attract the attention of consumers and cannot effectively stimulate consumers. Consumers develop next-level consumers, let alone give agents more benefits, and cannot effectively stimulate agents to develop consumers
[0004] In order to solve this problem, the existing shopping platforms have to set up more promotional activities in order to promote consumers’ further consumption, but more preferential activities directly damage the interests of merchants and platforms, and the profits earned by merchants and platforms The huge reduction has caused many merchants to give up joining the shopping platform, and also made the shopping platform precarious

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-level rebate method based on shopping platform
  • Multi-level rebate method based on shopping platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] Embodiment 1: Only the first-level agent, the first-level consumer and the second-level consumer are set. The first rebate amount accounts for 20% of the total commission, the second rebate amount accounts for 50-65% of the total commission, and the third rebate amount accounts for 15-30% of the total commission. %. The distribution of the total commission is shown in the table below (total commission is 100%).

[0022] Table 1

[0023] shopping platform First-level agent primary consumer secondary consumer 20％ 50-65％ 15％ 15％

[0024] As shown in Table 1, the shown agents only include first-level agents, and the consumers are divided into two levels, namely, first-level consumers and second-level consumers. Among them, first-level agents develop first-level consumers, and first-level consumers develop second-level consumers. The commission ratio of first-level consumers and second-level consumers is set to 15%.

[0025] When the second-leve...

Embodiment 2

[0027] Embodiment 2: Set a first-level agent, a second-level agent, a first-level consumer, a second-level consumer and a third-level consumer, the first rebate amount accounts for 10% of the total commission, and the second The rebate amount accounts for 36-72% of the total commission, and the third rebate amount accounts for 18-54% of the total commission. The distribution of the total commission is shown in the table below (total commission is 100%).

[0028] Form 2

[0029]

[0030] As shown in Table 2, the shown agents include first-level agents and second-level agents, and the consumers are divided into three levels, namely, first-level consumers, second-level consumers and third-level consumers. Among them, the first-level agent develops the second-level agent, the second-level agent develops the first-level consumer, the first-level consumer develops the second-level consumer, and the second-level consumer develops the third-level consumer. Set the rebate ratio of...

Embodiment 3

[0034] Embodiment 3: The first rebate amount accounts for 8% of the total commission, the second rebate amount accounts for 52-82% of the total commission, and the third rebate amount accounts for 8% of the total commission 10-40% of. The distribution of the total commission is shown in the table below (total commission is 100%).

[0035] Form 3

[0036]

[0037] As shown in Table 3, the shown agents include first-level agents, second-level agents and third-level agents, and the consumers are divided into four levels, namely, first-level consumers, second-level consumers, and third-level consumers. consumers and fourth-tier consumers. Among them, first-level agents develop second-level agents, second-level agents develop third-level agents, third-level agents develop first-level consumers, first-level consumers develop second-level consumers, and second-level consumers develop third-level consumption Or, the third-level consumer develops the fourth-level consumer, and th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-level rebate method based on a shopping platform. The multi-level rebate method comprises the steps of setting a first rebate amount for the shopping platform; setting a second rebate amount for an agent at the shopping platform; and setting a third rebate amount for a consumer at the shopping platform, wherein the first, second and third rebate amounts are respectively parts of a total commission amount provided by a merchant, the first and third rebate amounts are both quantitative, the second rebate amount is variable, and the sum of the first, second and third rebate amounts is equal to the total commission amount. According to the invention, the agent is allowed to obtain a rebate from consumers developed both directly and indirectly, the more earnings the agent gets, the more consumers the agent can be stimulated to develop and the more rebate consumers can get, consumers can be stimulated to buy more, a next level of consumers can be developed, and the sustainable development of the shopping platform can be promoted.

Description

technical field [0001] The invention relates to the field of e-commerce, in particular to a multi-level rebate method based on a shopping platform. Background technique [0002] In the e-commerce industry, shopping platforms display merchants’ products and set consumption rebates for their agents and consumers, thereby stimulating consumer consumption. Generally, the rebate methods and roles of shopping platforms or shopping apps with rebate function are fixed. For example, A is the first consumer, B is the consumer introduced by A, and only A can get the rebate for B’s consumption. [0003] However, with the vigorous development of shopping platforms, the number of shopping platforms is increasing, and the competition is more intense. Each shopping platform has launched a rebate system. The existing rebate methods can no longer attract the attention of consumers and cannot effectively stimulate consumers. Consumers develop next-level consumers, let alone give agents more b...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/08G06Q30/00
Inventor 丁佳保
Owner JIANGSU HUIKU TIANXIA SOFTWARE TECH