Mr. Rushabh Mehta

Transforming Global Supply Chains with AI and Data-Driven Decision Making: The Future of Intelligent ERP Systems

Abstract:

In the era of digital disruption, supply chains are evolving into intelligent, interconnected ecosystems driven by data, analytics, and automation. This keynote explores how the integration of Artificial Intelligence (AI), Data Science, and Financial Analytics is redefining global supply chain strategies, enhancing operational agility, and optimizing resource allocation.
Through real-world case studies and practical frameworks, the session will highlight how advanced predictive analytics and high-quality ERP data can empower organizations to move from reactive to proactive decision-making. We will delve into the use of intelligent ERP systems for forecasting, supplier performance evaluation, dynamic pricing, and cost control in complex manufacturing environments. Furthermore, we’ll examine how businesses can harness these technologies to drive digital transformation, achieve sustainability goals, and build resilient supply chains in uncertain times.
The talk is especially relevant to researchers, practitioners, and policy-makers aiming to bridge the gap between data-driven insights and scalable enterprise systems. Join us to discover the blueprint for building the future-ready, AI-powered supply chain of tomorrow.

Profile:

Rushabh Mehta is a seasoned Financial Analyst at Hammerton Inc., bringing over 4 years of experience at the intersection of supply chain operations, financial strategy, and data science. Specializing in manufacturing and global logistics, Rushabh leverages tools such as SQL, Python, Power BI, and AI-driven ERP systems to drive intelligent, data-informed decisions that optimize enterprise performance.

At Hammerton, he has led initiatives that resulted in multi-million-dollar revenue increases through pricing models, predictive forecasting, and financial process automation. His deep expertise lies in bridging operational insights with financial intelligence—empowering organizations to make faster, smarter decisions.

Rushabh has also contributed to transformative projects in the financial services sector, notably at Hexanika Inc. and Piyu Investment Consultancy, where he deployed machine learning and NLP to streamline risk assessment, reduce costs, and enhance profitability.

With a Master’s degree in Industrial Engineering (Operations Research, Finance, and Data Science) from the University at Buffalo, Rushabh is passionate about applying data-driven strategies to build resilient, scalable, and intelligent supply chains.

He continues to share thought leadership at global conferences on topics such as ERP optimization, predictive analytics, AI in operations, and financial data integration in supply chain systems.