Project 03 — AI Commerce System
Intelligent commerce infrastructure with real-time recommendations.
An upcoming next-generation digital storefront integrating semantic discovery and automated customer support copilots.
01 // THE CHALLENGE
Problem Context
Reducing drop-off rates during complex multi-variant product configuration.
02 // THE APPROACH
Interaction Design
Conversational buying assistance combined with instant visual configuration.
03 // THE ENGINEERING
Technical Execution
Headless commerce layer connected to vector search engine.
STAGES/BLUEPRINT BREAKDOWN
Structural progression
The step-by-step engineering timeline from geometry grid to live deployment.
01 GRID
Data Catalog
Vector embedding generation for multi-attribute products.
02 WIREFRAME
Chat-to-Cart Flow
Frictionless transition between search and checkout.
03 DESIGN
Adaptive UI
Context-aware card surfaces based on intent.
04 CODE
LLM Pipeline
Low-latency streaming responses with tool calling.
05 PRODUCT
Beta Evaluation
Precision benchmarking against standard search.
Key Platform Features
Natural language product discovery
Dynamic bundle configuration
1-Click checkout flows
Technology Stack
DEPLOYED INFRASTRUCTURE
Next.js CommerceOpenAI APIPineconeStripe
