Promotion Diversity System Using Taxonomy Comparison

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Solution Overview

Problem

Existing promotional systems lack diversity in presenting offers to consumers, leading to repetitive content that can decrease consumer interest and purchase rates, as promotions are often selected manually without data reference.

Innovation Solution

A method and system that analyze previous promotions to ensure diversity by comparing taxonomy classifications and removing similar promotions from subsequent electronic correspondences, using a processor to access and compare promotions, and adjust based on consumer profiles and merchant data to provide a varied mix of offers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If promotions are selected manually without data reference, then the process is simple and quick, but the diversity and relevance of promotions presented to consumers deteriorates

Engineering Contradiction:

Improvepromotion selection processVSAvoidpromotion diversity

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system automatically selects promotions by having the promotion selection system compare taxonomy classifications of promotions against previously sent promotions, eliminating the need for manual selection while maintaining diversity through self-service automation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses feedback from previously sent promotions to inform future promotion selections, creating a closed-loop system that continuously adapts to maintain diversity by referencing past promotion data

Inventive Principle:

Principle #23Feedback

2Productivity

If the same taxonomy classification promotions are repeatedly sent to consumers, then the selection process is simplified, but consumer interest and engagement deteriorates

Engineering Contradiction:

Improvepromotion delivery efficiencyVSAvoidconsumer engagement

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary comparison of taxonomy classifications before sending promotions, proactively identifying and removing duplicate classifications to ensure diversity is maintained before the promotion is delivered to the consumer

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system takes preliminary anti-action by removing promotions with matching taxonomy classifications that would otherwise be sent, preventing the harmful effect of repetitive content before it reaches the consumer

Inventive Principle:

Principle #9Preliminary anti-action

3Device complexity

If manual promotion selection is used, then system complexity is reduced, but promotion relevance and diversity to consumer profiles deteriorates

Engineering Contradiction:

Improvesystem complexityVSAvoidpromotion relevance to consumer

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system replaces manual mechanical selection with an automated computer-implemented system that uses taxonomy classification comparison algorithms to automatically select diverse promotions relevant to consumer profiles

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10943253B1Consumer cross-category deal diversity

Publication Date: 2021.03.09 BYTEDANCE INC

AI summary

A system and method is provided for determining a portfolio of promotions from across a diverse mix of promotion categories. The diverse promotion portfolio may represent an inventory of promotions that are available for presenting to a consumer in a particular market. Also, a system and method is provided for determining a diverse group of promotions for presenting to a consumer. The diverse group of promotions may be determined based on whether a same or similar promotion was previously presented to the consumer.