What question did this study set out to answer?

The aim is to evaluate the efficiency of an AI-driven system in managing consumer complaints and enhancing waste management knowledge.

April 25, 2026Open Access

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.

Abstract

Explore the article titled AI-Driven Consumer Complaint Intelligence System by using Hybrid Machine Learning and Generative AI with Enterprise N-Tier Architecture from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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B. Suri Babu

Bastar University

K. Chandra Bhanu

Y.B.S. Phaneendra

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

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