Logistics & Delivery

The Future of Fulfillment

Last-mile delivery is the most expensive part of logistics. IoT fleets change the economics—faster delivery, lower cost, reduced congestion.

Fleet Types in Logistics

All device types share the same architecture: edge AI, NATS JetStream messaging, and unified fleet management.

The Challenge

Logistics operations face mounting pressure:

• Last-mile costs — Up to 50% of total shipping cost in the final delivery
• Speed expectations — Same-day and next-hour delivery demands
• Labor constraints — Driver shortages, rising wages
• Urban congestion — Traffic delays, parking limitations
• Environmental pressure — Emissions reduction requirements

Ground-based delivery scales poorly. Every additional package adds another stop, another driver minute, another mile of fuel.

How IoT Fleets Solve This

Aerial: Direct Point-to-Point

Skip the road network entirely:

• Straight-line routing — No traffic, no detours
• Simultaneous deliveries — Multiple drones, multiple packages, same time
• Access anywhere — Rural areas, gated communities, rooftops
• Predictable timing — No traffic variability

Ground: Fleet Intelligence

Trucks, forklifts, and AGVs with real-time coordination:

• Route optimization — Dynamic routing based on traffic, deliveries, capacity
• Telematics — Fuel, maintenance, driver hours, load status
• AGV coordination — Warehouse robots working in harmony
• Proof of delivery — GPS-stamped confirmation with photos

Fixed IoT: Facility Operations

Sensors throughout the supply chain:

• Dock door sensors — Truck arrivals, departure timing
• Conveyor monitoring — Throughput, jams, sorting accuracy
• Inventory tags — Real-time stock levels, location tracking
• Environmental sensors — Temperature, humidity for perishables

Warehouse Integration

All fleet types extend warehouse reach:

• Distribution hub to customer — Skip the truck entirely for lightweight packages
• Micro-fulfillment — Stock forward positions, replenish by drone
• Inventory movement — Transfer between facilities without trucks
• Returns collection — Retrieve packages as easily as delivering them

Onboard AI (Edge Processing)

Real-time inference on NVIDIA Jetson for autonomous operation:

Why Edge Matters:

• Split-second navigation decisions
• Operate in GPS-challenged urban canyons
• Handle unexpected obstacles autonomously
• Maintain safety without ground station connection

Cloud AI (Fleet Analytics)

Via NATS JetStream, optimize across the entire network:

Why Cloud Matters:

• Optimize thousands of simultaneous deliveries
• Learn from every flight to improve future routing
• Balance load across distribution network
• Integrate with order management systems

Hardware Configuration

For logistics deployments, we recommend:

Full hardware specifications →

Use Cases

Last-Mile Delivery

E-commerce packages. Food delivery. Pharmacy and medical supplies.

Campus Delivery

Corporate campuses. University grounds. Hospital complexes.

Warehouse Operations

Inventory transfer. Cycle counting. High-bay retrieval support.

Emergency Resupply

Medical supplies to remote locations. Parts to stranded vehicles.

Rural Delivery

Areas underserved by traditional logistics. Islands, mountains, remote communities.

Regulatory Path

Drone delivery requires regulatory compliance:

• FAA Part 135 — Air carrier certification for package delivery
• Remote ID — Broadcast identification for all operations
• BVLOS Operations — Beyond visual line of sight waivers
• Airspace Integration — UTM participation, corridor agreements

Our architecture supports compliance with:

• Complete flight logging and telemetry storage
• Remote ID broadcast from every vehicle
• Real-time position reporting to UTM systems
• Audit trails for regulatory review

Technical Deep Dive

This application is built on our production-grade fleet architecture:

Explore Full Architecture →

Get Started

The economics of drone delivery are compelling. The technology is ready. Let’s discuss your logistics challenges.

Contact Us →