AI-Assisted Logistics & Delivery Operations Simulation Platform
An AI-assisted logistics and delivery operations simulation platform built to demonstrate operational visibility, workflow automation, routing, and live delivery tracking.
Explore the live simulation directly inside this portfolio.
Open Full DemoOverview
A live food-delivery operations simulation covering orders, dispatch, drivers, routes, demand visibility, and an isolated visitor demo session. The public demo runs separately from operational workflows while using the same operational data model and routing concepts.
My Role
Architecture, database design, workflow automation, logistics simulation logic, UI/UX decisions, and deployment. I designed the system around a PostgreSQL source of truth, n8n for workflow automation, and a Next.js operations interface.
Architecture
Technologies
Results
- Simulates realistic daily order volume across multiple restaurant locations
- Automates dispatch-to-delivery decisions end-to-end through n8n workflows
- Renders live delivery routes with road-accurate paths via ORS integration
Lessons Learned
- Isolating simulation data from operational data kept metrics honest
- Deterministic per-order jitter reads far more realistic than pure randomness
- Caching provider routes avoided redundant calls and preserved accuracy