AI-Driven Consumer Complaint Intelligence System by using Hybrid Machine Learning and Generative AI with Enterprise N-Tier Architecture

Key Points

• The aim is to evaluate the efficiency of an AI-driven system in managing consumer complaints and enhancing waste management knowledge.
• Utilized a hybrid machine learning approach combined with generative AI.
• Implemented within an enterprise N-tier architecture framework.
• Conducted surveys to assess improvements in waste management knowledge among participants.
• The AI system significantly improved complaint handling efficiency by 40%.
• Participants showed a 30% increase in waste management knowledge post-intervention.
• Feedback indicated a preference for AI-driven solutions over traditional methods.