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AI-Powered Pros and Cons Feature for Enhanced Software Review Platform User Experience and SEO Optimization

n-ix.com

Information technology

eCommerce

Consumer products & services

Business Challenges

Users struggled to efficiently identify product pros/cons from unstructured reviews, while the platform faced low SEO rankings due to insufficient keyword optimization and topic clustering for 2,000+ software categories.

About the Client

P2P software comparison and review platform with 80M+ annual user engagements

Project Goals

Implement ML/NLP-driven Pros and Cons feature for product reviews
Improve SEO rankings through automated keyword identification and topic generation
Enable topic-based filtering of user reviews
Optimize OpenAI API costs through prompt engineering
Develop scalable clustering solution for heterogeneous product categories

Core System Requirements

Automated pros/cons summarization using GPT4 and BERTopic
Topic clustering with keyword-based naming convention
Review filtering by topic with count visualization
Dynamic parameter adjustment for category-specific clustering
Token-efficient prompt engineering for cost optimization

Technology Stack

GPT4

BERTopic

LangChain

HDBSCAN

Umap

Sentence Transformers

CTFIDF

External System Integrations

OpenAI API

Operational Requirements

Scalability to handle 80M+ annual user engagements
Real-time topic modeling performance optimization
Data security for user review processing
Cost-effective API usage management

Expected Business Impact

Enhanced user experience through structured product insights, 30%+ increase in marketplace traffic from improved SEO rankings, 40% reduction in OpenAI API costs through prompt optimization, and scalable clustering solution supporting 2,000+ product categories with consistent accuracy.