The volatility of global supply chains, exacerbated by geopolitical tensions, fluctuating demand, and environmental uncertainties, has underscored the need for predictive tools. Predictive analytics, which leverages data to forecast disruptions and optimise decision-making, is becoming a cornerstone of resilient supply chain strategies.

Tej Contractor, Chairman of the Advisory Body Information Technology (ABIT) at FFFAI and FIATA, highlighted its transformative potential: “Predictive analytics allows us to anticipate risks before they materialise. Whether it’s weather disruptions, raw material shortages, or port congestions, these tools empower supply chain managers to take proactive measures, minimising downtime and ensuring continuity.”

Automation: A game-changer

Automation, driven by technologies such as robotics, IoT-enabled devices, and autonomous vehicles, is revolutionising supply chain operations. By automating repetitive tasks and enabling real-time monitoring, businesses are achieving greater efficiency and accuracy in their processes.

Amit Maheshwari, Founder and Managing Director of Softlink Global, described automation as a critical enabler of scalability: “From warehouse automation to automated customs clearance, these technologies are reducing manual errors, accelerating processes, and freeing up resources for more strategic activities.

“For example, our digital freight platforms are enabling seamless coordination between multiple stakeholders, ensuring faster and more transparent operations.”

Fostering innovation

Beyond addressing immediate challenges, advanced technologies are fostering innovation, enabling businesses to reimagine their supply chain strategies and create competitive advantages.

Abhijit Chaudhury, Head of Digital for Supply Chain at JSW Steel, shared insights on how digital transformation is reshaping traditional industries: “In a sector like steel, where supply chains are complex and capital-intensive, leveraging technologies such as blockchain and digital twins has enabled us to enhance traceability and optimise production planning.

“These innovations not only reduce costs but also create more agile and customer-focused supply chains.”

AI and machine learning

Artificial intelligence (AI) and machine learning are becoming indispensable tools for supply chain planning and optimisation. By analysing large datasets, these technologies enable businesses to make data-driven decisions, optimise inventory levels, and improve demand forecasting.

Amit Garg, Head of APAC Pixel Supply Chain Planning & Operations at Google, discussed the application of AI in dynamic supply chain environments: “At Google, we use AI to simulate various supply chain scenarios, allowing us to identify the most efficient routes and mitigate potential disruptions. These tools are not just about improving efficiency; they’re about building smarter, more adaptive supply chains that can evolve with market demands.”

Collaborative platforms

Collaboration is a recurring theme in the successful deployment of advanced technologies. Digital platforms that integrate data from multiple stakeholders—shippers, freight forwarders, carriers, and Customs authorities—are enabling more cohesive and transparent supply chains.

Rahim Bhimani, Senior Vice President of Air Cargo Practice at Kale Logistics, highlighted the significance of collaborative platforms: “Technology is breaking down silos across the supply chain.

“Platforms like ours are enabling seamless data sharing and collaboration between stakeholders, ensuring end-to-end visibility and reducing inefficiencies. This level of transparency is particularly critical in time-sensitive sectors like air cargo.”

Sustainability: A critical driver

Sustainability is increasingly becoming a key driver of technology adoption in supply chains. Advanced technologies are enabling businesses to reduce waste, optimise energy use, and meet regulatory requirements for environmental compliance.

Om Vijayvargiya, Head of Supply Chain Management at Schaeffler India Ltd, emphasised that businesses must view sustainability not as a cost but as an opportunity to create long-term value: “Our investments in digital tools are helping us align operational efficiency with environmental goals.

“For example, by using IoT sensors to monitor energy consumption in real time, we are not only reducing costs but also minimising our carbon footprint” adds Vijayvargiya

Challenges ahead

While the potential of advanced technologies is immense, the panel acknowledged that challenges such as high implementation costs, lack of standardisation, and resistance to change remain barriers to widespread adoption.

The need for upskilling the workforce and fostering collaboration between the public and private sectors was also highlighted as critical for overcoming these hurdles.

As Maheshwari aptly summarised: “Technology alone cannot solve all challenges. It needs to be complemented by strong leadership, collaborative frameworks, and a willingness to adapt to change. Only then can we unlock the full potential of these innovations.”