R Sampath Raghavan, Head of Exim & Logistics, Raymond, shares his insights on how AI is transforming EXIM logistics. From automating data processes to optimising routes and enhancing transparency, AI is driving greater efficiency, security, and sustainability in global trade.
AI’s ability to predict and optimise routes also contributes to reduced carbon footprints
Automating EXIM
AI and automation are fundamentally transforming the EXIM logistics landscape. R Sampath points out that traditionally manual tasks such as data compilation, recording, and analytics are now being automated. With the help of machine learning (ML) and AI, data quality is enhanced through sanitisation, allowing for more accurate, faster, and efficient data processing. The automation of processes related to customs and transportation has been integrated with internal ERP systems, creating seamless connections across the entire process, greatly improving efficiency and reducing operational costs. AI is now integral to route optimisation, weather forecasting, and predicting congestion at ports, driving significant efficiencies in the supply chain.
AI-driven logistics
R Sampath highlights how AI is transforming logistics operations, particularly in sectors like textiles and apparel. The integration of AI has improved communication and information exchange, offering greater visibility into vehicle movements and tracking. Fleet management and freight management systems are now more streamlined, while shipment tracking has become more accurate. AI’s ability to predict and optimise routes also contributes to reduced carbon footprints, making the logistics process more sustainable. Additionally, predictive analysis driven by machine learning helps in the negotiation of freight rates while aiding in the planning and scheduling of international cargo to optimise routing, further enhancing operational efficiency.
Logistics analytics
Data analytics, powered by AI, plays a vital role in optimising logistics and supply chain decisions, especially in global trade. According to R Sampath, AI-driven analytics helps improve warehouse management (W/M) and transport management (T/M) by streamlining operations and enhancing productivity. With the rise of e-commerce and the boom in Q-commerce, there is an increasing need for efficient retrieval systems and cost-effective warehouse management. Technologies like AR/VR are now being used for better stacking and inventory retrieval. In transport management, AI is helping reduce dwell time at delivery points by predicting traffic patterns and suggesting optimal routing. This reduces delays and the overall carbon footprint of logistics operations.
Blockchain & IoT
R Sampath discusses how emerging technologies such as blockchain and the Internet of Things (IoT) are improving transparency and tracking in cross-border logistics. Blockchain technology offers enhanced security, traceability, and transparency in the value chain, ensuring that all transactions are securely documented and compliant with regulatory standards, particularly in regions like the EU. Furthermore, IoT technology is revolutionising customs processes by improving machine-to-human interfaces, increasing productivity, and reducing the snags often encountered in manual processes at borders. Together, blockchain and IoT are facilitating smoother, more transparent cross-border transactions and reducing delays in global trade.
