@article {10.3844/jcssp.2025.3089.3112,
article_type = {journal},
title = {Convergence of GenAI and RPA: A Digital Heaven in Supply Chain Optimization Process},
author = {Pahune, Saurabh A. and Akhtar, Zahid and Chandrasekharan, Manoj and Yadav, Shipra Shivkumar and Siddique, Kamran},
volume = {21},
number = {12},
year = {2026},
month = {Feb},
pages = {3089-3112},
doi = {10.3844/jcssp.2025.3089.3112},
url = {https://thescipub.com/abstract/jcssp.2025.3089.3112},
abstract = {One of the most groundbreaking advances in the field of intelligent automation is the merging of Generative Artificial Intelligence (GenAI) and Robotic Process Automation (RPA). This combination unlocks previously unachievable capabilities in automation. RPA (software bots) improves speed and operational efficiency by automating rule-based tasks, Standard Operating Procedures (SOPs), and repetitive workflows. At the same time, it minimizes manual labor and human errors. While, GenAI's advanced proficiencies in Natural Language Processing (NLP) with context, content creation, and smart decision-making make it well suited or tasks that require flexibility and adaptability. Leveraging the fusion of the two can empower greater improvements in the supply chain world. Overall, in the supply chain management workflow, this convergence drives automation to new heights and delivers the precision, and adaptability across the end-to-end process. This integration enables real-time forecasting of multiple level items to each item/eaches, case quantities, pallet load, inventory management optimization, demand forecasting, customer service and communication, logistics and transportation management, anomaly detection, damage detection, etc. in the supply chain process. This paper explores in brief the future potential of supply chain automation using the fusion of GenAI and RPA, along with practical applications, challenges, and future directions.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}