Smart Inventory System for Expiry Date Tracking
Volume-7 | Issue-2

AI based Identification of Students Dress Code in Schools and Universities
Volume-6 | Issue-1

Exploiting Vulnerabilities in Weak CAPTCHA Mechanisms within DVWA
Volume-7 | Issue-2

Gamification in Mobile Apps: Assessing the Effects on Customer Engagement and Loyalty in the Retail Industry
Volume-5 | Issue-4

Investigating Process Scheduling Techniques for Optimal Performance and Energy Efficiency in Operating Systems
Volume-6 | Issue-4

Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2

Review on Sanskrit Sandhi Splitting using Deep Learning Techniques
Volume-6 | Issue-2

Survey: Unconventional Categories of Chatbots that make use of Machine Learning Techniques
Volume-5 | Issue-3

Light Weight CNN based Robust Image Watermarking Scheme for Security
Volume-3 | Issue-2

Getis-Ord (Gi*) based Farmer Suicide Hotspot Detection
Volume-4 | Issue-2

AUTOMATION USING IOT IN GREENHOUSE ENVIRONMENT
Volume-1 | Issue-1

Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4

Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2

Light Weight CNN based Robust Image Watermarking Scheme for Security
Volume-3 | Issue-2

VIRTUAL REALITY GAMING TECHNOLOGY FOR MENTAL STIMULATION AND THERAPY
Volume-1 | Issue-1

Design of Digital Image Watermarking Technique with Two Stage Vector Extraction in Transform Domain
Volume-3 | Issue-3

Analysis of Natural Language Processing in the FinTech Models of Mid-21st Century
Volume-4 | Issue-3

PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
Volume-3 | Issue-3

Image Augmentation based on GAN deep learning approach with Textual Content Descriptors
Volume-3 | Issue-3

Comparative Analysis for Personality Prediction by Digital Footprints in Social Media
Volume-3 | Issue-2

Home / Archives / Volume-5 / Issue-4 / Article-1

Volume - 5 | Issue - 4 | december 2023

Efficiency and Effectiveness of Feedback Management in E-Commerce using Machine Learning Algorithm Open Access
R. Deepalakshmi  , J. Jeyarani, K. Balamurugan, R. Gokul, S. Krishnamoorthi, Kanchu Lokesh  73
Pages: 341-351
Cite this article
Deepalakshmi, R., J. Jeyarani, K. Balamurugan, R. Gokul, S. Krishnamoorthi, and Kanchu Lokesh. "Efficiency and Effectiveness of Feedback Management in E-Commerce using Machine Learning Algorithm." Journal of Information Technology and Digital World 5, no. 4 (2023): 341-351
Published
09 November, 2023
Abstract

The feedback management portal is an online platform designed to streamline the process of collecting, analyzing, and responding to feedback from customers, employees, and stakeholders. The portal provides a user-friendly interface for users to submit feedback, which is then automatically categorized and analyzed using machine learning algorithms. Users can track the status of their feedback and receive real-time updates on any actions taken by the organization in response to their feedback. The portal also enables organizations to generate reports and insights based on the feedback data, helping them make data-driven decisions to improve their products, services, and overall customer satisfaction. Overall, the feedback management portal provides an efficient and effective way for organizations to manage and leverage feedback to drive continuous improvement.

Keywords

Feedback Management Data Visualization Performance Metrics Efficiency Analysis Effectiveness Assessment

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here