AI Project Concept Template for Windesheim/VCH

All projects follow Agile principles with iterative development, regular sprint cycles, and continuous stakeholder feedback.

PROJECT CONCEPT

Basic Information

Project Title: n8n RAG Supply Chain Visualization

Project Slug: n8n-rag-visualization

Concept Status: brainstorm

Category: research / internal-tool

GitHub Repository: [TO FILL - Does this exist yet?]

THE 3 MINUTE RULE PITCH

1. What is it?

[TO FILL - Using n8n (workflow automation) + RAG (AI retrieval) to visualize supply chain data? Please clarify the exact use case]

2. How does it work?

[TO FILL - Does n8n orchestrate data collection from sources → RAG processes it → generates visualization? Or something else?]

3. Are you sure?

n8n is proven for workflow automation. RAG works well for querying documents. The connection to “visualization” needs clarification.

4. Can you do it?

[TO FILL]

5. What’s the value?

[TO FILL]

6. Are there any risks?

[TO FILL]

The Problem

What problem does this solve? [TO FILL - What supply chain visualization challenge are we solving?]

Who has this problem? [TO FILL]

How big is the problem? [TO FILL]

The AI Solution

What AI/ML technique would you use?

• n8n workflows for automation and orchestration
• RAG for querying supply chain documents/data
• [TO FILL - What visualization library? D3.js? NetworkX? Custom?]

What data would you need? [TO FILL - What supply chain data sources? ESG reports? Trade data? Shipping records?]

Expected output/deliverable: [TO FILL - Interactive supply chain visualizations? Automated dashboard updates? Network graphs?]

NOTES FOR COMPLETION

Clarification Needed: This project needs more definition. Possible interpretations:

1. n8n orchestrates RAG + Visualization:
   • n8n workflows fetch supply chain data from sources
   • RAG processes documents to extract entities/relationships
   • Visualizations generated from extracted data
2. Natural Language to Visualization:
   • User asks question in natural language
   • RAG retrieves relevant supply chain data
   • n8n workflow generates appropriate visualization
   • Similar to “show me the coffee supply chain from Ethiopia”
3. Automated Supply Chain Monitoring:
   • n8n monitors supply chain data sources
   • RAG analyzes changes/patterns
   • Automated visualization updates

Technology Context:

• n8n: Open-source workflow automation (like Zapier)
• RAG: Retrieval-Augmented Generation for AI
• Visualization: Need to specify tool/library

Questions to Answer:

• What is the exact workflow: data source → processing → output?
• What types of supply chain visualizations? (Network graphs, flow diagrams, dashboards?)
• Is this related to SupplyLens project?
• Who are the users and what questions are they answering?
• Is n8n just orchestration or core to the value proposition?

[ALL SECTIONS TO FILL - Need detailed project specification first]