The Innovative Automated Material Return System

Authors

  • Mrs. Manasa. C. M  Assistant Professor, Department of Computer Science Engineering, Presidency University, Karnataka, India
  • Nikhil M  B. Tech, Department of Computer Science Engineering, Presidency University, Karnataka, India
  • N.L.V. Raghavendra  B. Tech, Department of Computer Science Engineering, Presidency University, Karnataka, India
  • Nithin N  B. Tech, Department of Computer Science Engineering, Presidency University, Karnataka, India
  • Bhuvan N  B. Tech, Department of Computer Science Engineering, Presidency University, Karnataka, India

Keywords:

Automated System, Material Return, Customer Returns, Computer Vision, Machine Learning, Robotics, Image Recognition, Inspection, Refurbishing, Recycling, Logistics Optimization.

Abstract

This paper introduces an innovative Automated System for Material Return from Customers (ASMRC), designed to streamline and enhance the process of returning goods. The ASMRC employs cutting-edge technology, including computer vision, machine learning, and robotics, to automate the identification, inspection, and restocking of returned items. Customers can initiate returns through a user-friendly interface, and the ASMRC efficiently manages the entire return process. The system employs advanced image recognition algorithms to identify returned items, ensuring accuracy and reducing manual handling. Inspection modules assess the condition of returned goods, categorizing them for appropriate disposition, whether restocking, refurbishing, or recycling. Robotics are integrated for seamless handling and transportation within the facility, minimizing human intervention and optimizing efficiency.

References

  1. Smith, J., & Brown, A. (2021). "Automation in E-commerce Returns Management: A Comprehensive Review." Journal of Supply Chain Management, 25(3), 112-130.
  2. Wang, L., & Chen, H. (2020). "Machine Learning Algorithms for Product Quality Assessment in E-commerce Returns." International Conference on Artificial Intelligence and Applications, 45-56.
  3. Robotics and Automation Magazine. (2019). "Warehouse Robotics: Transforming Material Handling in E-commerce." IEEE Robotics and Automation Magazine, 26(2), 18-28.
  4. Kumar, S., & Gupta, R. (2018). "Computer Vision-Based Automated Sorting System for E-commerce Warehouses." International Journal of Computer Applications, 178(7), 32-38.
  5. Li, M., & Zhang, Y. (2017). "Predictive Analytics in E-commerce: A Review of Applications and Challenges." Expert Systems with Applications, 87, 176-189.
  6. Tan, L., & Wang, Y. (2019). "Fraud Detection in E-commerce: A Comprehensive Survey." ACM Computing Surveys, 52(2), 1-34.
  7. Amazon Robotics. (2020). "Innovation in Robotics for Warehouse Automation." Retrieved from https://www.amazonrobotics.com/
  8. Chen, C., & Li, J. (2018). "Adaptive User Interfaces for E-commerce Dashboards." International Journal of Human-Computer Interaction, 34(9), 824-837.
  9. Garcia, A., & Rodriguez, M. (2019). "Natural Language Processing for Customer Feedback Analysis in E-commerce." Proceedings of the International Conference on Natural Language Processing, 112-125.
  10. Logistics Management. (2021). "Revolutionizing E-commerce Returns: A Focus on Logistics and Automation." Retrieved from https://www.logisticsmgmt.com/
  11. Wang, H., & Zhu, Q. (2018). "Optimizing Warehouse Operations Using Robotics: A Case Study of E-commerce Fulfillment." International Journal of Production Economics, 197, 171-182.
  12. Kim, S., & Lee, J. (2017). "Effective Implementation of Predictive Analytics for Demand Forecasting in E-commerce." International Journal of Production Research, 55(6), 1654-1668.
  13. Lee, S., & Kim, H. (2019). "Real-time Tracking Systems for Shipment Monitoring in E-commerce Logistics." Journal of Systems Science and Systems Engineering, 28(1), 36-53.
  14. Guo, Y., & Ding, Y. (2020). "Enhancing Customer Satisfaction through Efficient Exchange and Refund Processes in E-commerce." Information Systems Frontiers, 22(4), 809-822.
  15. Zhang, W., & Wang, Y. (2018). "A Comprehensive Survey of Return Policies in E-commerce." International Journal of Production Economics, 195, 215-228.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2024-01-12

Issue

Volume 11, Issue 1, January-February-2024

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mrs. Manasa. C. M, Nikhil M, N.L.V. Raghavendra, Nithin N, Bhuvan N "The Innovative Automated Material Return System" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 11, Issue 1, pp.46-53, January-February-2024.