ZeroFootprint

Insights

AI, logistics, and digital transformation for Australian operators.

Application Modernisation: The Strangler-Fig Pattern in Practice
27 May 2026

Application Modernisation: The Strangler-Fig Pattern in Practice

Rewriting a legacy monolith from scratch is high-risk and rarely necessary. The strangler-fig pattern lets Australian engineering teams modernise .NET and Java applications incrementally — shipping value continuously while reducing risk. Here is how it works in practice.

12 min readAI assistedChris Kerr
Supply Chain Digital Transformation: A Melbourne Logistics Roadmap
Digital Transformation26 May 2026

Supply Chain Digital Transformation: A Melbourne Logistics Roadmap

Melbourne logistics operators face real pressure to modernise — from customer demands for real-time visibility to looming emissions reporting obligations. This roadmap covers how to build a practical digital transformation strategy without blowing your budget or disrupting day-to-day operations.

10 min readAI assistedZero Footprint
Warehouse Automation AI: A Guide for Australian Distribution Centres
23 May 2026

Warehouse Automation AI: A Guide for Australian Distribution Centres

Implementing AI-driven warehouse automation in a 10,000+ sqm facility involves more than buying new software. This guide walks mid-market Australian operators through inventory optimisation, pick path planning, demand forecasting, and WMS integration — step by step.

10 min readAI assistedZero Footprint
Freight Cost Reduction Through AI: An Australian Carrier Guide
23 May 2026

Freight Cost Reduction Through AI: An Australian Carrier Guide

AI is helping Australian carriers cut freight costs by tackling the problems that matter most: empty kilometres, fuel waste, and manual planning overhead. This guide covers practical implementation across route optimisation, load consolidation, fuel management, and driver efficiency — without the hype.

10 min readAI assistedZero Footprint
Document Intelligence for Australian Logistics Operations
23 May 2026

Document Intelligence for Australian Logistics Operations

Document intelligence uses AI to automatically extract and validate data from BOLs, PODs, freight invoices, and customs documents — eliminating manual data entry and reducing compliance risk. This guide covers how Australian logistics operators can implement it, what Australian regulatory requirements apply, and how to build an ROI case using your own operational data.

11 min readAI assistedZero Footprint
AI Code Generation: What It Can and Can't Do for Your Team
22 May 2026

AI Code Generation: What It Can and Can't Do for Your Team

AI code generation tools can boost developer productivity for routine tasks, but they require careful adoption with proper review processes. Understanding their capabilities and limitations is crucial for safe, effective implementation.

8 min readAI assistedChris Kerr
Fractional CTO Services Melbourne: Complete Guide for Tech Leaders
22 May 2026

Fractional CTO Services Melbourne: Complete Guide for Tech Leaders

Fractional CTO services provide Melbourne companies with executive-level technology leadership on a part-time basis, offering strategic guidance without full-time overhead. This guide explores when to hire a fractional CTO, engagement models, and how to choose the right technical leader for your growing organisation.

7 min readAI assistedChris Kerr
AI Agents in Production: Lessons from Real Enterprise Deployments
21 May 2026

AI Agents in Production: Lessons from Real Enterprise Deployments

Enterprise AI agents require careful orchestration, robust failure handling, and strategic cost management to work reliably at scale. Here's what we've learned from real deployments.

6 min readAI assistedSarah Mitchell
AI Readiness Assessment: Is Your Australian Business Ready for AI?
20 May 2026

AI Readiness Assessment: Is Your Australian Business Ready for AI?

An AI readiness assessment evaluates your organisation's technical infrastructure, data maturity, and strategic alignment to determine AI implementation success. Most mid-market Australian companies have the data for AI but lack the infrastructure and expertise for successful deployment.

8 min readAI assistedAisha Reddy