Online Supply Chain Management Technology
Supply Chain Management Technology Academy
Haslam College of Business
Program Overview
The Haslam College of Business Supply Chain Management Technology Academy is an eight-week program that provides a deeply strategic exploration of the technologies transforming supply chains—AI (including generative, agentic, and physical AI), automation, robotics, IoT, digital twins, control towers, digital orchestration, and next-gen enterprise systems. Participants will learn to build business cases, evaluate vendors, govern digital investments, lead adoption, and strengthen cyber resilience.
Building on Haslam’s suite of supply chain academies in management, finance, planning, and procurement, this first-of-its-kind program blends interactive, industry-leading curriculum with peer collaboration and faculty expertise to prepare participants to make a lasting impact within their organizations.
Credit Hours*
0
Cost**
$3,995
Testing Requirements
None
Admission Terms
Fall
*This price is inclusive of all University fees and charges including any and all eBook materials. Discounts are available for Global Supply Chain Institute Forum Partner Company employees and will be applied, if applicable, after initial registration.
Develop Essential Technology Skills for Supply Chain Management
The Global Supply Chain Institute is here to provide you with expert faculty and connections to help you build the AI technology acumen you need to succeed in supply chain management. In this course, you will learn about:
- AI-enabled supply chain innovation & performance
- Technology value assessment & timing
- Digital/AI maturity diagnostics
- Real-time supply chain orchestration
- Digital/AI strategic roadmap development
- IT governance & leadership evaluation
- Business case & vendor management
- Technology implementation & change leadership
- Supply chain cybersecurity risk management
- Digital disruption & future workforce strategy
This innovative synchronous and asynchronous online course will help you improve relevant foundational technology skills, grow your career, and drive value for your organization.
Learn more about Supply Chain Management Academies offered by the Haslam College of Business:
SCM Finance Academy
SCM Foundations Academy
SCM Planning Academy
SCM Leadership Academy
SCM Procurement Academy
What You Will Learn.
The SCM Technology Academy will be divided into eight modules:
- Explain how data flows through supply chain enterprise systems (ERP, WMS, TMS, OMS).
- Differentiate between visibility, transparency, track & trace, and serialization.
- Assess data quality and governance as enablers of technology success.
- Articulate foundational analytics concepts and their supply chain applications.
- Explain how digital twins enable supply chain simulation, optimization, and scenario planning.
- Differentiate among AI types (ML, neural networks, generative AI, agentic AI) and their supply chain applications.
- Assess opportunities for AI-driven demand sensing, planning, and autonomous decision-making.
- Develop effective prompts for generative AI tools in supply chain contexts.
- Evaluate the strategic implications of human-machine teaming in planning and operations.
- Articulate the distinction between supply chain integration and orchestration and explain why orchestration matters for competitive advantage.
- Describe the core architectural components of a digital orchestration platform, including control towers, event streaming, and decision engines.
- Assess organizational readiness for orchestration and identify foundational capabilities that must be in place.
- Apply a maturity model framework to evaluate current orchestration capabilities and prioritize investments.
- Navigate the multi-enterprise challenge of coordinating across organizational boundaries where direct control is limited.
- Explain the spectrum of automation from basic mechanization to fully autonomous systems.
- Assess robotics and automation applications across warehousing, manufacturing, and transportation.
- Evaluate human-machine teaming models and their implications for workforce strategy.
- Build the business case for automation investments, considering ROI, flexibility, and scalability.
- Evaluate IT governance archetypes and determine which fit their organization.
- Diagnose governance pain points, including decision rights, data ownership, and prioritization.
- Build vendor evaluation criteria and understand contracting considerations for AI and data-centric tools.
- Distinguish between user requirements and technical requirements.
- Understand why IT projects fail and apply best practices to avoid common pitfalls.
- Apply change management frameworks to technology implementation initiatives.
- Develop communication strategies that build support and address resistance.
- Design training and capability-building programs for technology adoption.
- Assess organizational culture readiness for digital transformation.
- Identify supply chain-specific cyber vulnerabilities and threat vectors.
- Explain preventive controls and maturity models for digital supply chains.
- Build a basic incident response narrative for leadership.
- Understand AI-specific risks including data leakage, model poisoning, and misuse.
- Evaluate how technology enables supply chain sustainability and risk reduction.
- Integrate all course learnings into a coherent technology business case.
- Present a concise, board-ready narrative about technology strategy and risk.
- Distinguish sustaining vs. disruptive innovation and apply to supply chain use cases.
- Assess talent gaps and workforce implications of AI and automation.
- Establish a personal action plan for applying course learnings.
Master End-to-End Supply Chain Technology
In 8 weeks, you can elevate your supply chain technology skills and career. Take the next step in your career and register today.
Register NowKey Dates & Deadlines
Program Duration: 8 weeks
Fall 2026: September 22 – November 22
