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Theme: Transforming Global Trade through Intelligence, Automation, and Digital Infrastructure
This course is designed for trade professionals, logistics managers, policymakers, export-import officers, customs officials, fintech experts, and supply chain technologists who aim to harness AI, RPA, and analytics to streamline trade operations, compliance, and decision-making.
Contents:
Module 1: Introduction to AI and Automation in Trade Operations
1.1 The Evolution of Global Trade in the Digital Era
1.2 Role of Artificial Intelligence and Automation in Trade Modernization
1.3 Understanding TradeTech: Intersection of Trade, Technology, and Data
1.4 Key Enablers: Cloud, APIs, DPI, and Interoperability Frameworks
1.5 Global Trends: From Manual Operations to Intelligent Trade Systems
Case Study:
Module 2: AI Fundamentals for Trade Professionals
2.1 Basics of AI, ML, NLP, and Predictive Analytics
2.2 Understanding Data Pipelines in Trade Ecosystems
2.3 Building and Training AI Models for Trade Workflows
2.4 Intelligent Document Processing (IDP) and OCR in Trade Documentation
2.5 Integration of AI into ERP, CRM, and Trade Management Systems
Exercise: Use AI tools to extract and validate data from export documentation
Module 3: Robotic Process Automation (RPA) in Trade Operations
3.1 Introduction to RPA and its Role in Trade Digitization
3.2 Use Cases: Automating Repetitive Trade Compliance and Customs Processes
3.3 Workflow Automation in Logistics, Invoicing, and Freight Management
3.4 Human–Bot Collaboration in Back-Office Trade Operations
3.5 ROI Measurement and Scaling RPA Programs in Trade
Case Study:
Module 4: AI in Supply Chain & Logistics Management
4.1 Predictive Analytics for Demand, Inventory, and Route Optimization
4.2 AI-Driven Risk Prediction and Supply Chain Visibility
4.3 IoT, Sensors, and AI Integration for Real-Time Cargo Monitoring
4.4 Digital Twins for Global Logistics Simulation
4.5 AI in Freight Pricing, Scheduling, and Capacity Planning
Exercise: Build an AI-based predictive model for shipment delays
Module 5: Trade Compliance, Risk, and Security Automation
5.1 AI for Automated Trade Compliance Screening
5.2 Risk Scoring for Dual-Use Goods and Export Control Regulations
5.3 AI-Enabled Sanctions and Restricted Party List Management
5.4 Cybersecurity and AI in Trade Data Protection
5.5 Fraud Detection and AML (Anti-Money Laundering) Automation
Demo: AI-enabled sanctions list screening using real-time datasets
Module 6: Digital Trade Infrastructure & Cross-Border Automation
6.1 Role of DPI (Digital Public Infrastructure) in Trade Enablement
6.2 Blockchain and Smart Contracts in Trade Automation
6.3 API Governance and Interoperability in Trade Systems
6.4 AI & RPA in Customs Single Window and Port Community Systems
6.5 Case Study: India’s ULIP, Singapore’s TradeTrust, and UAE’s Digital Trade Corridor
Workshop: Map an automated trade workflow using APIs and AI tools
Module 7: Intelligent Decision Support Systems in Trade Operations
7.1 Data-Driven Decision Making in Export-Import Operations
7.2 AI for Market Forecasting and Trade Opportunity Identification
7.3 Using Generative AI for Trade Negotiation and Contract Drafting
7.4 AI Dashboards for KPI Tracking and Executive Insights
7.5 Decision Intelligence in Policy and Strategic Planning
Exercise: Create a decision dashboard using trade analytics data
Module 8: Sustainable & Ethical AI in Global Trade
8.1 Responsible AI Principles for International Trade
8.2 Mitigating Bias and Ensuring Transparency in Automated Decisions
8.3 AI in Green Trade and Carbon Emission Tracking
8.4 ESG Data Analytics for Sustainable Supply Chains
8.5 Balancing Efficiency, Equity, and Compliance in AI-led Trade
Case Study:
Module 9: Future of AI & Automation in Trade Ecosystems
9.1 AI-Powered Trade Platforms and Autonomous Supply Chains
9.2 Quantum Computing and Its Impact on Trade Optimization
9.3 AI-Driven Trade Finance and Digital Currencies (CBDCs, Tokenization)
9.4 Global Policy Trends: WTO, OECD, and AI Governance in Trade
9.5 Skills for the Next-Gen Trade Professional
Discussion: “How AI will redefine trade competitiveness by 2030”
Module 10: Capstone Exercise & Action Planning
10.1 Group Project: Designing an AI & Automation Roadmap for a Trade Organization
10.2 Identifying Key Metrics for AI ROI and Governance
10.3 Policy Recommendations for AI-Driven Global Trade Systems
10.4 Presentations and Peer Review
10.5 E-Certification and Closing Remarks
Trainer Profile:
Ujjwal Basu – Business Strategic Specialist
23+ years of learning in Commercial negotiations, Procurement, Vendor Management, Supply Chain, Production Planning, Logistics, Purchasing, Warehousing, Sales and after sales. Domestic and Global, Lead – Asia Pacific team, exposure to Middle east, EU and US. Worked in varied Industries – Automobile, Media, ITES, Chemicals, Logistics, FMCG and Other Manufacturing. Worked in various Green and Brown field projects. Currently working as Business Consultant with Multiple organizations.
A highly impactful Strategic specialist, with diversified experience in Integrated Supply Chain Management and International Business acumen with various Industry knowledge viz. Automobile, Media, ITES, Chemicals, Green Mobility, Supply Chain and Other Manufacturing organizations having over two decades of experience in the field of Sourcing Management, Logistics, Value Chain, Inventory Management, Plant Operations, Production Planning, Brand, Customer Relationship Management and handling multiple green field projects. Experience of handling Domestic, Asia Pacific, Middle East and US territories. Worked in top Indian and Global brands like ABP Pvt Ltd, General Motors India, Tata Motors, Avaya India, Johnson Matthey India, Fogla Corp. Contributed in business strategy formulation and achieving volumetric business growth, business process reengineering and change management, supplier consolidation and cost optimization.
Delivery: ZOOM Meeting
