Strategic tool for mapping commerce capabilities across domains. AI-powered gap analysis, semantic search, and transformation roadmap generation.
What I Learned
pgvector makes semantic search surprisingly accessible
Reusable knowledge bases are more valuable than one-off analyses
The taxonomy is the product — the UI is just the interface to it
The Problem
Commerce transformations fail because there's no comprehensive map of what capabilities exist and how to prioritize investments. People recreate this from scratch every time.
The Approach
Built a comprehensive capability taxonomy by analyzing dozens of commerce platforms and implementations. Used vector embeddings for semantic search and AI to generate transformation recommendations.
Architecture Decisions
137 capabilities x 550 functions data model
Semantic search with vector embeddings (pgvector)
Interactive architecture visualization (XY Flow)
AI-powered capability recommendations
Why I Built It This Way
Used pgvector for semantic search over traditional full-text
Built visual architecture diagrams with XY Flow
Implemented 12 industry vertical configurations
Technology Stack
SvelteKit 2Svelte 5TypeScriptSupabasepgvectorOpenAIXY FlowTailwind CSS
Outcomes
Complete commerce capability taxonomy
AI-powered transformation recommendations
Visual architecture diagram generation
Started: 2024-09
7 phases completed