Logistics
Atlas Operations Cloud
Cut dispatch time 64% with an AI routing and scheduling engine.
- Timeline
- 16 weeks
- Team
- 5 engineers
- Status
- Live
- Client
- Enterprise
- Completed
- 2025
- Services
- AI Automation, Custom Software, Internal Dashboards
Executive summary
The outcome, first.
Atlas runs a national fleet that was being dispatched manually across disconnected spreadsheets and phone calls. Every delay compounded across the network.
NWARRAH engineered a real-time operations cloud with an AI routing engine that schedules, optimizes and reassigns deliveries continuously.
The result is a single control plane where operators see the whole network live and the system proposes optimal routes in seconds, not hours.
Client challenge
The problem
Atlas was scaling faster than its manual operations could handle.
- Dispatch decisions were made by hand across a dozen spreadsheets
- No real-time visibility into fleet status or delays
- Routing was reactive, leading to idle trucks and missed SLAs
- Headcount had to grow linearly with delivery volume
- Legacy tools could not integrate with telematics data
Discovery
How we de-risked it
We embedded with the operations team to map the real workflow before designing anything.
- Shadowed dispatchers across three regional hubs
- Mapped every data source feeding a dispatch decision
- Modeled SLA risk and cost per routing strategy
- Identified telematics and order APIs for live integration
- Assessed failure modes for an always-on control system
Solution
How NWARRAH solved it.
A real-time control plane backed by an optimization engine and clean integrations.
AI routing engine
Continuously optimizes routes against live traffic, capacity and SLAs.
Real-time control plane
One live view of the entire fleet and order pipeline.
Resilient architecture
Event-driven services designed for 24/7 operation.
Deep integrations
Telematics, order and billing systems unified via APIs.
System architecture
Engineered to last.
A clean, observable data flow from interface to infrastructure.
Operator & Driver UIs
React control plane and mobile companion app.
API Gateway
Typed Node.js services with auth and rate limiting.
Routing Engine
Optimization + AI scoring of candidate routes.
PostgreSQL
Source of truth for orders, fleet and events.
Automation Layer
Event-driven reassignment and SLA alerts.
Admin & Analytics
Configuration, audit logs and reporting.
Features
What we shipped.
Real-time tracking
Live fleet and order status across the network.
AI route optimization
Optimal routes proposed and re-proposed live.
Role-based access
Granular permissions per region and role.
Analytics
SLA, cost and utilization reporting.
Notifications
Proactive alerts on delays and exceptions.
Admin panel
Self-serve configuration for operations.
Concept artifacts
How the system fits together.
These are illustrative engineering artifacts of the delivered system. Live product screenshots are published here as each client approves them.
Business results
Measurable impact.
Faster dispatch
Less manual work
Uptime
Throughput per dispatcher
"NWARRAH replaced a room full of spreadsheets with a system that thinks ahead of us. Our dispatchers now manage exceptions, not chaos."
Marcus Hale
VP of Operations, Atlas Logistics
Engineering insights
Decisions that mattered.
Event-driven core
We modeled operations as an event stream so reassignment is instant and auditable.
Optimization caching
Candidate routes are cached and incrementally updated to keep scoring sub-second.
Graceful degradation
If the AI layer is unavailable, deterministic routing keeps the fleet moving.
Let's build something together.
Tell us the outcome you need. We'll engineer the system that gets you there.
