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AI-Powered Review Management Platform Development
  1. case
  2. AI-Powered Review Management Platform Development

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AI-Powered Review Management Platform Development

lexis.solutions
Business services
Consumer products & services
eCommerce

Challenges in Manual Review Management

Businesses struggle with fragmented online review management across platforms like Google, Yelp, and Facebook. Manual processes lead to missed opportunities for addressing negative feedback, underutilized positive reviews, and inefficient customer engagement, ultimately impacting customer satisfaction and sales.

About the Client

SaaS company providing AI-driven review management solutions for businesses

Project Goals for AI-Powered Review Management

  • Automate review collection and response generation using AI
  • Enhance customer satisfaction through real-time sentiment analysis
  • Increase sales via improved online visibility and SEO optimization
  • Provide actionable business insights from aggregated review data

Core System Functionalities

  • Real-time review tracking across 20+ platforms with AI sentiment analysis
  • Personalized review collection campaigns via email/QR/NFC with ML optimization
  • One-click AI-generated authentic review responses
  • Real-time dashboard with trend analysis and business recommendations
  • Automated positive review marketing with dynamic content updates
  • AI-optimized SEO profile pages for improved search rankings

Technology Stack Requirements

AI/ML frameworks (NLP, sentiment analysis)
Web scraping APIs for review platforms
Real-time data processing systems
Cloud infrastructure (AWS/Azure)
React/Node.js for dashboard development

System Integrations

  • Google Business API
  • Yelp Fusion API
  • Facebook Graph API
  • Email marketing platforms (Mailchimp, SendGrid)
  • SEO tools (SEMrush, Moz)

Non-Functional Requirements

  • Horizontal scalability for 10M+ monthly reviews
  • Real-time processing latency <500ms
  • Enterprise-grade data encryption
  • 99.9% system uptime SLA
  • Multi-tenancy architecture for SaaS deployment

Expected Business Impact

Projected 65M+ annual profile visitors, 20M+ analyzed reviews, and 500+ enterprise clients through automated review lifecycle management. Expected outcomes include 40% faster response times to negative reviews, 25% increase in positive review conversion rates, and measurable improvements in client SEO rankings.

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