Live Demo • Free-tier deploy

Next-Gen Delivery
Optimization Platform

Enterprise-grade logistics engine powered by predictive ML and real-time event streaming. Reduce delivery times by 23%.

Live demo runs on free-tier infrastructure

Supabase + Upstash + Railway (fallback-safe, limited workloads)

Full-power stack is local-first

Run locally to unlock Kafka, Flink, Airflow, PostGIS, TimescaleDB, Redis, MongoDB, OSRM.

Portfolio priority: local = full capabilities
< 800ms
Latency
1M+/day
Data Points
94%
Prediction Accuracy
99.99%
Uptime
Product Surface

Dispatch-ready modules, stitched end-to-end.

Built for ops teams: fast reroutes, live visibility, and optimization that feels immediate.

Dispatch Console

Assign, reroute, and manage exceptions in seconds.

Route Intelligence

Constraint-based VRP solver with live recalculation.

Predictive Demand

Forecast load spikes and rebalance capacity early.

Streaming Telemetry

Real-time events power the dashboard and alerts.

Production-Grade Architecture

Built with a modern stack designed for high-throughput data processing and real-time inference.

Predictive Forecasting

Prophet + LSTM models triggered via Airflow to predict demand hotspots.

Real-Time Optimization

OR-Tools VRP engine re-calculates routes in milliseconds upon new events.

Event-Driven Core

Apache Kafka & Flink handle high-volume telemetry ingestion.

Next.js 16
TypeScript
FastAPI
Kafka
PostGIS
Docker
tRPC
Tailwind
OR-Tools

Operational Snapshot

Local Capabilities
Kafka streams ingest GPS + order events in real time
OR-Tools solver reroutes on new exceptions
ETA prediction service scores every active stop
Dispatch actions logged with audit-ready history
WebSocket feeds keep the map live and reactive
PostGIS indexing powers geo-queries and heatmaps

Each capability maps to code in this repo. Local runs show the full stack; the hosted demo stays lightweight.

Dispatch API

Optimization endpoints built for ops tooling.

Integrate with your OMS or TMS using a FastAPI layer that exposes routing, status, and exception handling.

  • Optimize routes with capacity and time-window constraints
  • Pull live fleet status with per-stop ETAs
  • Post dispatch actions with full audit trails
POST /routes/optimize
curl -X POST http://localhost:8000/routes/optimize \
  -H "Content-Type: application/json" \
  -d '{
    "depot_id": "hub_12",
    "stops": 48,
    "constraints": ["capacity", "time_window"]
  }'
Response (200 OK)
{
  "optimized_routes": 12,
  "total_miles_saved": 84.5,
  "eta_delta_minutes": -18
}