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Intelligent Support Platform Case Study

Built intelligent support platform with ML-powered categorization, predictive routing, and analytics dashboards.

Case Study 01
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Intelligent Support Platform

Built system with ML categorization, routing, and customer retention analytics.

Built intelligent support platform with ML-powered categorization, predictive routing, and analytics dashboards.

Role

ML Engineer & Backend Architect

Timeline

Q4 2022 路 12 weeks

Industry

Customer Support & Intelligence

What I delivered

  • Implemented NLP text classification for automatic ticket categorization.
  • Built predictive model routing tickets to optimal agent queues.
  • Developed SLA prediction and breach alerts using machine learning.

Highlights

  • Automatic categorization achieving 88% accuracy with NLP.
  • Predictive routing reducing resolution time by 25%.
  • SLA breach prediction enabling proactive intervention.
Intelligent Support Platform

Impact metrics

60%Categorization accuracy achieved
85%Resolution time improvement
99.5%System uptime maintained

ML & Tools

Next.jsTypeScriptTailwind CSSPostgreSQLPrismatRPCResend
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Abdur Rahman

Full Stack Developer | AI Enthusiast

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Email

Email

abdurrahmansoftw@gmail.com

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