Supply Chain Beyond the Basics: Leveraging Supply Chain Information Systems
1hIntermediate2025-07-16
Authors
Daniel Stanton
Expert in Supply Chain Strategy and Project Management
Course details
In today’s rapidly evolving business landscape, Supply Chain Information Systems (SCIS) play a critical role in optimizing logistics, procurement, inventory management, and overall supply chain performance. This course provides a comprehensive overview of essential SCIS categories, including WMS, ERP, TMS, OMS, and AI-powered analytics, helping you understand how these systems work individually and integrate for seamless supply chain operations. Explore data management strategies, system interoperability (EDI/API), and cybersecurity considerations to ensure secure and efficient supply chain management. Through realistic examples and best practices, gain the knowledge needed to leverage SCIS effectively, improve operational resilience, and drive digital transformation in supply chains.
Learning objectives
Understand the role and impact of Supply Chain Information Systems (SCIS) in optimizing logistics, procurement, inventory management, and overall supply chain efficiency.
Identify and evaluate key SCIS categories, including WMS, ERP, TMS, OMS, and emerging technologies like AI, IoT, and blockchain.
Analyze how SCIS integrations (EDI, API) facilitate seamless data exchange across supply chain partners, improving visibility and decision-making.
Assess the challenges and risks associated with SCIS, including cybersecurity threats, data management issues, and system interoperability.
Explore the role of AI in Supply Chain Information Systems, including how machine learning, predictive analytics, and automation enhance forecasting, risk management, and decision-making.
Learning objectives
Understand the role and impact of Supply Chain Information Systems (SCIS) in optimizing logistics, procurement, inventory management, and overall supply chain efficiency.
Identify and evaluate key SCIS categories, including WMS, ERP, TMS, OMS, and emerging technologies like AI, IoT, and blockchain.
Analyze how SCIS integrations (EDI, API) facilitate seamless data exchange across supply chain partners, improving visibility and decision-making.
Assess the challenges and risks associated with SCIS, including cybersecurity threats, data management issues, and system interoperability.
Explore the role of AI in Supply Chain Information Systems, including how machine learning, predictive analytics, and automation enhance forecasting, risk management, and decision-making.
Skills covered
Supply Chain ManagementBusiness Analysis and StrategyOne-Off
Concepts
0. Introduction
- 01 - Exploring supply chain information systems (SCIS)
- 02 - What you need to know
1. Importing and Coding Data
- 03 - Demand planning system (DPS)
- 04 - Order management systems (OMS)
- 05 - Material requirements planning (MRP)
- 06 - MES and MOM
- 07 - Enterprise resource planning (ERP)
- 08 - S&OP and integrated business planning (IBP)
- 09 - WMS and WES
- 10 - Distribution requirements planning (DRP)
- 11 - Transportation management systems (TMS)
- 12 - Global trade management (GTM)
- 13 - Labor management systems (LMS)
- 14 - Customer relationship management (CRM)
- 15 - Supplier relationship management (SRM)
- 16 - Returns management systems (RMS)
- 17 - Supply chain control towers and command centers
- 18 - OCR, EDI, and APIs
- 19 - Internet of things (IoT)
- 20 - Managing data, databases, data warehouses, and data lakes
- 21 - AI in supply chains
- 22 - Cybersecurity in SCIS
Conclusion
- 23 - Enabling supply chain capabilities with information systems