By the time a delayed shipment shows up on an end-of-day report, the damage is already done — the real value of digital supply chain tools is catching that disruption while it is still happening, not reading about it the next morning. The Smart Supply Chain Technology & Analytics Training Course, delivered by the Arab British Fellowship Training Academy, is built for supply chain professionals leading the shift from manual, siloed processes to a connected, technology-driven operation.

The course opens with the technologies generating real-time data — AI, IoT, and digital logistics platforms — before moving into how automation, Industry 4.0 integration, and blockchain turn that data into faster, more trustworthy decisions across the chain. Participants also learn how to evaluate technology investments against real operational needs rather than hype, and how analytics converts raw operational data into decisions leadership can act on. Participants leave with a practical roadmap for leading digital transformation without over-investing in technology that doesn't solve a real problem.

By the end of this course, participants will be able to:

• Evaluate AI and IoT applications that support proactive decision-making
• Evaluate digital logistics systems that improve real-time supply chain visibility
• Identify automation opportunities that reduce error and bottlenecks
• Apply Industry 4.0 principles to integrate manufacturing and distribution systems
• Apply blockchain principles to strengthen traceability and multi-party trust
• Use analytics to turn operational data into actionable strategic decisions
• Select supply chain technology investments based on real operational need

Target Audience

• Supply chain and logistics managers leading digital transformation initiatives
• Operations and technology managers evaluating supply chain systems
• Supply chain analysts and planners working with emerging technologies
• IT professionals supporting supply chain digitalization projects
• Consultants advising on supply chain technology adoption
• Professionals preparing for leadership roles in digital supply chain strategy

Module 1: AI and IoT in Supply Chain Decision-Making

• Applying AI to support demand forecasting and proactive decision-making
• Using IoT data to monitor assets and shipments in real time

Module 2: Digital Logistics and Real-Time Visibility

• Applying digital logistics systems to replace fragmented tracking methods
• Building end-to-end visibility across suppliers, warehouses, and transport

Module 3: Automation Across the Supply Chain

• Identifying automation opportunities in warehousing and fulfillment
• Reducing manual error and bottlenecks through targeted automation

Module 4: Industry 4.0 in Supply Chain Operations

• Applying Industry 4.0 principles to integrate manufacturing and distribution
• Connecting production systems with broader supply chain data flows

Module 5: Blockchain for Traceability and Trust

• Applying blockchain principles to strengthen multi-party supply chain trust
• Improving traceability across complex, multi-tier supplier networks

Module 6: Selecting the Right Technology and Turning Data into Decisions

• Evaluating supply chain technology investments against real operational needs
• Applying analytics to convert operational data into strategic decisions and dashboards

Module 7: Leading Digital Transformation Successfully

• Managing organizational change during digital supply chain transformation
• Building a phased roadmap that avoids over-investment and disruption