The Future of Logistics
MOVE AFRICA.DELIVER SMARTER.
GoBox is a next-generation logistics platform connecting businesses, riders and intelligent delivery technology to move goods faster, safer and smarter.
Built for Africa · Designed for the future


The Platform
Meet GoBox
A physical AI logistics platform designed to move goods autonomously through controlled environments.
- Robotics
- Artificial Intelligence
- Computer Vision
- Navigation
- Connectivity
- Logistics Orchestration
- Digital Payments
- Mission Control
The Challenge
Last-mile delivery is expensive, fragmented and increasingly demanding.
Labour Intensive
Repeated short-distance delivery requires significant human effort.
Inefficient Routing
Manual dispatching and unpredictable routing increase delivery time and operational cost.
Limited Visibility
Traditional delivery systems can lack real-time operational intelligence.
Scalability
Growing delivery demand requires systems capable of handling more missions without linear increases in labour.
The Solution
GoBox changes the physical layer.
Organizations automate controlled-environment delivery using autonomous mobile robots connected to an intelligent logistics platform.
Controlled environments first
Zeus Robotics // Physical AI
Operation
How GoBox Works

- Order received
- Payload profiled
- Merchant confirmed
The Machine
Built to Move Through the Real World
Fiberglass body, four-wheel platform, sensor suite and a secure cargo compartment engineered for daily operation.
0 KG
Maximum payload
60–0 L
Cargo capacity
20–0 KM
Operating range
0–0 KM/H
Maximum speed
8–0 H
Estimated runtime
1–0 H
Charging time
In the field
GoBox in Motion
A short look at the GoBox platform operating in a real environment.
Specifications
Engineered for Autonomous Logistics
- Product
- GoBox Autonomous Delivery Robot
- Dimensions
- 27.95 × 22.05 × 28.15 in
- Weight
- 40 kg
- Payload
- 75 kg
- Cargo volume
- 60–100 L
- Speed
- 0–15 km/h
- Range
- 20–35 km
- Battery
- 25V 20Ah
- Energy
- 500–1000 Wh
- Runtime
- 8–16 hours
- Charging
- 1–2 hours
- Construction
- Fiberglass body
- Compute platform
- NVIDIA Jetson Nano + STM32
- Navigation
- Autonomous navigation
- AI
- Computer Vision + Physical AI
- Connectivity
- Wireless / network-connected control
