Purpose of the Lab

• Mission: Tackle messy, wicked supply chain challenges with solutions that don’t just work—they scale.
• Vision: Be the bridge between academia, industry, and education to deliver real, measurable impact.

Why It Matters

• Empowering Change:
  • The tools we use shape how we collaborate, innovate, and grow.
  • Misaligned tools? They’re costly mistakes that derail progress.
• Collaborative Impact:
  • When we align our tools and processes, trust grows, results multiply, and everyone wins.

Today’s Focus

1. Overview of the current tools & plan
   • What have we selected, how will we apply it?
2. A.I and other support tools overview
   • Which Support tools are there and how could we use them.
3. Shape the Future: Workshops & Training
   • What Training will we be giving them?

What’s in the Pack?

• Collaboration: Microsoft Teams, Canva Whiteboard, Canva Prototyping
  • Improved visual brainstorming and structured collaboration.
  • Trough the Tonomy Foundation, we have a Pro-License on Canva with which we can provide the students with their own small team.
  • CANVA IDEATIONBOARD
• Data Collection: Google Scholar, Excel, OneDrive: And other sources.
  • Optional: See A.I tools
• Visualization: Canva Pro
  • Elevates presentations with advanced design tools, templates, and AI-driven features.
  • We can give each team their own dedicated team space.
• Task Management (Optional): Trello, or Focalboard;
  • Lightweight task tracking for teams that are more serious and want more structure.
• File Sharing: OneDrive
  • Familiar and integrated with Microsoft ecosystem, which the students will know.
  • Optional: Github
• AI Support: OpenWebUI, Ollama
  • Entry-level AI for brainstorming and lightweight automation.

Key Benefits

Essential Overview

Current Challenges: Manual workflows, scattered communication, and inefficiencies hinder progress, A.i tooling is found to be unreliable!

• Opportunity: We use tokens for the Big A.I models to temporary leverage insanely big infrastructure
• Opportunity: We use many different models and different tools to show the difference between those models, to demonstrate the power of using smaller models
• Opportunity: We use local hardware, to intergrate the A.I directly into the researcher’s computers;
  • A local deployable A.I set has been developed and is being expanded: It works with n8n, quant, ollama in one

Core AI Tools

• Kotaemon: Interact with documents seamlessly using Retrieval-Augmented Generation (RAG) technology.

• ChainForge: Evaluate and compare LLM responses for robust prompt engineering and model selection.

• Neo4j: Map supply chain networks and visualize relationships.

• OpenWebUI: Local interface for secure interaction with large language models (LLMs).

• Flowise: Graphical AI workflow builder for creating intuitive AI applications.

• Crawl A.I: Automates web scraping to collect large-scale research data.

Workshop and Training Overview

• Create better work, faster by giving students access to these workshops.
• Focused on learning skills, over doing research.
• Focused on delivering actionable knowledge for immediate impact in projects.
• Focused on standalone use-cases due to ecosystem limitations.

Core Training Focus Areas

1. Prompt Engineering:
   • Crafting effective prompts for OpenWebUI and AI tools.
   • Real-world applications of AI for supply chain problem-solving.
2. Better Presentations:
   • Leveraging Canva Pro for dynamic, visually engaging presentations.
   • Techniques to integrate storytelling with visuals for stakeholder alignment.
3. Using OpenWebUI:
   • Hands-on experience to explore local AI capabilities.
   • Learn to use OpenWebUI for brainstorming, FAQs, and secure tasks.

Outcomes

• Confidence in using A.I tools
• Practical AI skills without overwhelming participants with new workflows.

Workshop Modules and Formats