Meetu Malhotra

In today's world, where technology and sustainability must work hand in hand, large language models (LLMs) play a pivotal role across various sectors, including healthcare, finance, supply chain, education, and entertainment.

This presentation will explore the diverse capabilities and applications of LLMs while highlighting the often-overlooked carbon footprint associated with everyday interactions. Even simple queries can have significant environmental implications. The session emphasizes the collective responsibility of researchers, developers, and users to align AI advancements with sustainability goals.

To illustrate this, the session will cover some case studies that demonstrate how our interactions with LLMs contribute to carbon emissions and how companies are actively mitigating these impacts.

Anupam Bandyopadhyay

Effective returns management is crucial for customer satisfaction and operational efficiency. A streamlined process ensures quick refunds, exchanges, or store credits, enhancing trust and loyalty.

Clear return policies reduce confusion, while automation speeds up processing. Analyzing return reasons helps identify product or shipping issues, improving future operations. Sustainable practices, like refurbishing or recycling returned items, minimize waste and costs.

By optimizing returns management, businesses can reduce losses, boost efficiency, and maintain a positive brand reputation. A well-handled return process turns a potential negative experience into an opportunity for customer retention and long-term success.

Prabhakaran Rajendran

With increasing cybersecurity threats and strict federal regulations, FSMA compliance is essential for organizations managing government-related supply chain operations.

Supply chain visibility is a key enabler for ensuring compliance by offering real-time tracking, risk mitigation, and secure data management. By integrating emerging technologies such as AI, blockchain, and IoT, organizations can boost data security, enhance operational resilience, and maintain regulatory compliance.

This session will examine how modernizing supply chain visibility can strengthen cybersecurity frameworks and simplify compliance efforts. I recently implemented FSMA regulations for one of the Fortune 100 clients. I will share my real-time experience during the presentation.

Ramachandra Handaragal

In situations where maintenance activities are repetitive and breakdown incidents are increasing across multiple assets due to technician unavailability, AI can provide a solution.

Instead of repeatedly fixing the same issue, AI systems can analyze historical repair work orders to recommend regular preventive maintenance schedules. This approach ensures maintenance is proactive rather than reactive, reducing downtime and enhancing asset reliability for clients with assets in different locations. Additionally, this solution helps maintenance managers by offering the best recommendations based on incident descriptions, causes, and reasons for breakdowns.

By examining historical corrective work orders, AI can identify patterns and suggest immediate corrective actions. This reactive strategy ensures maintenance activities are managed efficiently, minimizing downtime and quickly addressing breakdowns across multiple assets. This is especially beneficial for clients with assets in various locations, enabling swift and effective responses to maintenance needs.

Dhaval Desai

After years of exploration and experimentation, AI in the supply chain has transitioned from a concept to actual implementation.

This session highlights how AI is actively transforming supply chain functions—from intelligent design and demand forecasting to real-time logistics and autonomous operations.

Through relevant examples and industry insights, we’ll explore how organizations are leveraging AI to drive agility, resilience, and efficiency across the end-to-end supply chain.