Citation :

Jagdish Bhatt, Saurabh Singh, 2025. "Hyper-automation in Supply Chain and Quality Management: A Cross-Industry Perspective" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 3, Issue 2: 18-24.

Abstract :

Hype r-automation, the strategic convergence of advanced technologies such as artificial intelligence (AI), robotic process automation (RPA), and the Internet of Things (IoT), is reshaping supply chain and quality management across industries. This paper examines the deployment and implications of Hyper-automation within the Consumer Packaged Goods (CPG) and Healthcare sectors, focusing on its influence on operational efficiency, quality control, and scalability. Through a comparative, cross-sectoral lens, we analyze current literature, identify implementation gaps, and propose actionable opportunities for leveraging Hyper-automation to navigate evolving industry challenges. Our findings suggest that while Hyper-automation enables real-time decision-making and reduces operational errors, barriers such as high initial investment and the need for workforce reskilling persist. Future outlooks emphasize the importance of enhanced interoperability, advanced analytics, and sustainable integration.

References :

[1] Prakhar Mittal, AI-Powered Product Analyticsin Med Tech Product Development -From Raw Data to Actionable Insights 2024-12-24, African Journal of Biomedical Research https://doi.org/10.53555/ajbr.v27i4s.6577
[2] Prakhar Mittal et al. API-First Banking: Evolution of Customer Journey Analytics. International Journal of Advanced Research in Science, Communication and Technology, 2025,25(03), 2581-9429 https://doi.org/10.48175/IJARSCT-23633
[3] Rai, A., & Shubham Metha. (2024). Sustainability using Artificial Intelligence: Transformative Solutions in the IT Sector. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 10(6), 2464–2469. https://doi.org/10.32628/cseit251118
[4] Shubham Metha, Dyuti Dave, Kiran Babu Macha, Prakhar Mittal, & Anu Rai, “Blockchain-based Biometric Authentication System (BBAS) – Secure and Decentralized Approach to Identity Verification” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 5, pp 377-382, May 2023. https://doi.org/10.47001/IRJIET/2022.602014
[5] Prakhar Mittal, Jasleen Singh Saini, Rishi Venkat, Manoj Varma Lakhamraju; Driving Digital Transformation In Medtech: Lessons From Transitioning To Paperless Operations International journal of applied engineering and technology 5No. 31241 – 12452023romanpub
[6] Manoj Varma Lakhamraju, Prakhar Mittal, Vivek Agarwal; Impact Of Data Analytics In Business Process Optimization: A New Perspective International journal of applied engineering and technology 52232-– 2412023romanpub
[7] Mittal, Prakhar; AI-Powered Product Analyticsin Med Tech Product Development -From Raw Data to Actionable Insights https://africanjournalofbiomedicalresearch.com/index.php/AJBR/article/view/6577/5270 2024 Https://doi.org/10.4314/ajbr.v27i1.7
[8] Prakhar Mittal, Rahul Malik; Optimized Physics-Informed Neural Network Framework for Wild Animal Activity Detection and Classification with Real Time Alert Message Generation International Journal on Computational Modelling Applications 2142-522025International Journal on Computational Modelling Applications
[9] Rishi Venkat,Darshana Suresh,Prakhar Mittal,Manoj Lakhamraju, Kiran Babu Macha; The Role of Generative AI and Digital Transformation in Modernizing Performance Management Processes: Goal Setting International Journal of Scientific Research in Computer Science, Engineering and Information Technology 111456652025ISSN : 2456-3307 Https://doi.org/10.32628/CSEIT21715
[10] Kiran Babu Macha,Sai Deepika Garikipati,Nikhil Sagar Miriyala,Rishi Venkat, Prakhar Mittal; Mitigating Bias in Generative AI: The Role of Explainable AI for Ethical Deployment IJSREM 88456742024IJSREM Https://doi.org/10.55041/IJSREM.2024.8.8.456
[11] Dyuti Dave, Shubham Mehta, Nikhil Sagar Miriyala, Anu Rai, Prakhar Mittal; API-First Banking: Evolution of Customer Journey Analytics IJARSCT 51199-2042025IJARSCT Https://doi.org/10.48175/IJARSCT-2025-5-1-199
[12] Rai, A., Mittal, P., Metha, S., Macha, K., & Venkat, R. (2024). Stochastic Modelling and Computational Sciences BLOCKCHAIN TECHNOLOGY: ITS ROLE IN TRANSFORMING DIGITAL PRODUCTS. Stochastic Modelling & Computational Sciences , 4(1), 2752–3829. https://romanpub.com/resources/smc-v4-1-2024-17.pdf
[13] P. Mittal, J. Singh Saini, A. Agarwal, R. K. Maheshwari, S. Kumar and A. Singh, "Fake News Detection Using Machine Learning Techniques," 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE), GHAZIABAD, India, 2024, pp. 1374-1377, doi: 10.1109/AECE62803.2024.10911448
[14] Lakhamraju, M. V. (2024). The importance of data analytics in business process optimization: A focus on predictive process monitoring. African Journal of Biomedical Research, 27(3S), 6937–6941. https://doi.org/10.53555/AJBR.v27i3S.6645
[15] Lakhamraju, M. V. (2025). The Strategic Role of workday Payroll in addressing enterprise Challenges. Computer Science and Engineering Research, 02(01), 3–9. https://doi.org/10.69517/cser.2025.02.01.0002
[16] Lakhamraju, M. V. (2025). Workday ERP: Revolutionizing Enterprise Resource planning and human capital management. International Journal of Science and Research Archive, 14(2), 1598–1612. https://doi.org/10.30574/ijsra.2025.14.2.0535
[17] Shubham Metha. AI-Driven Promotion Platforms: Increasing Customer Engagement in Banking. Journal of Artificial Intelligence Research & Advances. 2025; 12(01):87-92. https://journals.stmjournals.com/joaira/article=2025/view=193238/
[18] Metha, Shubham. 2025. “AI-Driven Fraud Detection: A Risk Scoring Model for Enhanced Security in Banking”. Journal of Engineering Research and Reports 27 (3):23-34. 10.9734/jerr/2025/v27i31415.
[19] Yerra, S. (2025). Optimizing supply chain efficiency using AI-driven predictive analytics in logistics. Retrieved from https://ijsrcseit.com/index.php/home/article/view/CSEIT25112475.
[20] Yerra, S. (2025). Enhancing inventory management through real-time Power BI dashboards and KPI tracking. Retrieved from https://ijsrcseit.com/index.php/home/article/view/CSEIT25112458.
[21] Yerra, S. (2025). The role of Azure Data Lake in scalable and high-performance supply chain analytics. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 3668–3673. https://doi.org/10.32628/cseit25112483
[22] Kiran Babu Macha. (2023).Advancing Cloud-Based Automation: The Integration of Privacy-Preserving AI and Cognitive RPA for Secure, Scalable Business Processes. International Journal of Computer Science and Engineering Research and Development (IJCSERD), 13(1), 14-43
[23] "Kiran, M. (2022). Leveraging robotic process automation to optimize government operations and empower citizens: A framework for enhancing service delivery and ensuring compliance. International Journal of Science and Research Archive, 6(2), 150–165. https://doi.org/10.30574/ijsra.2022.6.2.0231
[24] "Macha, K. B. (2022, June 1). SCALABLE GOVERNANCE AND BEST PRACTICES FOR RPA IN MODERNIZING PUBLIC-SECTOR WORKFLOWS: ENSURING COMPLIANCE, INNOVATION, AND ROI [Review of SCALABLE GOVERNANCE AND BEST PRACTICES FOR RPA IN MODERNIZING PUBLIC-SECTOR WORKFLOWS: ENSURING COMPLIANCE, INNOVATION, AND ROI]. Https://Www.irjmets.com/; International Research Journal of Modernization in Engineering Technology and Science. https://www.irjmets.com/uploadedfiles/paper//issue_6_june_2022/25989/final/fin_irjmets1742636135.pdf
[25] "Macha, K. (2018). ROBOTIC PROCESS AUTOMATION: A SYSTEMATIC REVIEW. In International Journal of Research and Analytical Reviews. https://www.ijrar.org/papers/IJRAR19D6842.pdf
[26] Yerra, S. (2025). The role of Azure Data Lake in scalable and high-performance supply chain analytics. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 3668–3673. https://doi.org/10.32628/cseit25112483
[27] Yerra, S. (2025). The role of Azure Data Lake in scalable and high-performance supply chain analytics. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 3668–3673. https://doi.org/10.32628/cseit25112483
[28] Yerra, S. (2023). Leveraging python and machine learning for anomaly detection in order Tracking Systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 9(4), 500–506. https://doi.org/10.32628/cseit2311354
[29] D. D. Winster Praveenraj, R. R. Kurup, M. Almusawi, M. V. Lakhamraju, B. Arunkumar and P. Mittal, "Optimizing Retail Operations with Big Data-Driven Insights: From Inventory Management to Personalized Marketing," 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India, 2025, pp. 342-346, doi: 10.1109/AUTOCOM64127.2025.10957411.
[30] D. D. W. Praveenraj, H. D, M. Al-Farouni, S. Priya, B. Arunkumar and P. Mittal, "Utilizing Transforming Portfolio Management Through Automation Using Advanced Deep Reinforcement Learning Algorithms for Optimized Investment Strategies," 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India, 2025, pp. 1368-1372, doi: 10.1109/AUTOCOM64127.2025.10956627

Keywords :

Hyper-automation , Supply Chain Management, Quality Management, Artificial Intelligence, Robotic Process Automation, Consumer Packaged Goods (CPG), Healthcare.