Industry

Logistics and warehousing: physical AI where the gap is widest

Warehouse automation, robotics, predictive operations, supply-chain AI, vision and drones — integrated with WMS, ERP and sensor data.

Discuss a warehouse pilotRobotics
Delivery Model

From process mapping to scale

1

Process mapping

Identify high-cost, high-friction or high-risk workflows.

2

Data & systems assessment

Map WMS, ERP, automation, sensors, robotics and data availability.

3

Use-case prioritisation

Rank opportunities by value, feasibility, safety and integration complexity.

4

Sandbox & pilot

Test models, agents and vision or robotics components; deploy defined workflows with measurable KPIs.

5

Production hardening & scale

Security, monitoring, support and governance — then extend across workflows and sites.

Use Cases

Where it is used

  • Robotic picking and transport
  • Vision-based inventory and quality checks
  • Digital twins and predictive operations
  • Supply-chain intelligence and exception handling
  • Drone stock and yard counts

Boundaries

  • Pilots run with defined KPIs before any scale commitment.
  • Robotics are integrated on a multi-vendor basis.

Evidence & sources

  • 1% of Australian businesses in Transport, Postal & Warehousing reported AI use in 2024–25 (Australian Bureau of Statistics, Characteristics of Australian Business 2024–25).

AILH deployment environment

Related Ventures

Ventures building on this

Physical IntelligenceIn Development

AI Robotic Logistics Warehouse

A smart, robotics-driven fulfilment warehouse for cross-border small-goods e-commerce — WMS, OMS and TMS with AI vision quality checks and robotics-assisted picking.

Layer
Open Physical Intelligence Layer — Industrial Intelligence
Industry
Logistics & Warehousing, Cross-border Trade
Core capabilities
Robotics-assisted picking · AI vision quality checks · WMS / OMS / TMS · Fulfilment-as-a-Service

On DNY infrastructure: Combines the Physical Intelligence Layer with enterprise integration and agents; operational data is governed in the Trusted Data Space.

RoboticsComputer visionAI agents
View venture
Physical IntelligenceIn Development

DNY Robotic Systems

Embodied and autonomous systems for Australian industrial, logistics and service environments, built on DNY’s trusted open AI and physical intelligence infrastructure.

Layer
Open Physical Intelligence Layer — Embodied Intelligence
Industry
Logistics & Warehousing, Enterprise, Built Environment
Core capabilities
Embodied AI · Autonomous navigation · Manipulation · Human–robot collaboration

On DNY infrastructure: Robots connect through the Physical Intelligence Layer: models and agents decide, robots act, and every action is bound to an identity, a permission and an audit record.

RoboticsEdge AIAI agents
View venture
Next Step

Close the physical-AI gap in your operations

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