Streamlining Supply Chain Processes with Digital Workflow Automation, Blockchain Integration, and Data Mining (40 Hours)

Introduction
In today’s fast-paced logistics industry, companies are looking for innovative solutions to optimise supply chain processes and gain a competitive edge. SIMTech’s course on “Streamlining Supply Chain Processes with Digital Workflow Automation, Blockchain Integration, and Data Mining” is specifically designed for logistics organisations and those looking to overcome supply chain challenges.
The course spans over 10 sessions, during which managers and engineers will explore the practical applications of Digital Workflow Automation, Blockchain Integration, and Data Mining in supply chain operations through classroom learning, exercises, and real-world implementation. Participants will begin by digitising paper forms and automating workflows to enhance supply chain processes. They will learn how Digital Workflow Automation improves order fulfilment, inventory management, and logistics coordination through examples and interactive exercises.
The course will then delve into Blockchain Integration, exploring its potential to transform supply chain transparency, security, and traceability. Participants will gain hands-on experience with Ethereum and learn to customise Blockchain Smart Contracts for product authentication and traceability.
Finally, participants will learn Data Mining techniques to extract valuable insights from supply chain data. They will use tools such as Excel, Orange, and Python to uncover patterns and opportunities for improvement.
Upon completion, participants will possess the skills to transform supply chains, leveraging digital workflow automation, blockchain integration, and data mining to enhance efficiency, traceability, and decision-making.
- Build a comprehensive understanding of Digital Workflow Automation (DWA), Blockchain (Ethereum), and Data Mining for supply chain applications.
- Digitise paper-based forms and streamline business processes using DWA.
- Create and customise Blockchain Smart Contracts (Ethereum) for supply chain use cases.
- Apply data mining methods (e.g., clustering, classification, association rules) to optimise processes and identify improvement opportunities.
- Leave with a practical roadmap for further exploration and implementation.
AI Segment (What’s Covered in AI)
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Who Should Attend
The course is recommended for- supply chain and logistics managers and engineers
- managers responsible for streamlining business processes
- members of digital transformation task forces
- sales, HR, and other department heads interested in process optimisation through technology
Programme Agenda
Please refer to the brochure for details.


: Full day
: Morning
: Afternoon
: Evening