We partnered with a leading Australian manufacturer to accelerate their Industry 4.0 transformation. The engagement focused on modernising the data platform, enabling AI-driven decision making, and deploying GenAI applications across the value chain—from product design to customer engagement.
Through our #DPaaS, #DSaaS, and #GenAI services, we delivered measurable improvements in operational efficiency, supply chain resilience, and innovation velocity.
Delivered Industry 4.0 transformation—modernising data platforms, embedding GenAI across the value chain, and unlocking supply chain resilience with significant cost savings.

The Challenge
The organisation operates under a highly autonomous, federated model with six diverse business units—ranging from engineer-to-order and process manufacturing to services and maintenance.
Strategic Challenges:
- Fragmented Value Chain: Lack of integration across procurement, production, distribution, and after-sales created inefficiencies and delays.
- Global Competition: Increasing pressure from international manufacturers with lower costs and advanced digital capabilities.
- Supply Chain Vulnerability: Disruptions from logistics bottlenecks, import dependencies, and lack of real-time visibility.
- Customer Expectations: Demand for customised products and faster delivery times outpaced legacy processes.
IT Challenges:
- Legacy Systems: Reliance on ageing ERP and MES platforms hindered data flow and slowed responsiveness.
- Data Silos: Multiple manufacturing, warehouse, and sales systems lacked integration, blocking end-to-end visibility.
- Limited Analytics: Over-reliance on spreadsheets and descriptive BI instead of predictive and prescriptive insights.
- Cybersecurity Risks: Growing exposure across IoT-enabled devices, OT systems, and cloud platforms.
Our Approach
- Data Platform as a Service (DPaaS): Designed and implemented a cloud-native data mesh and data fabric foundation to integrate plant floor systems, ERP, CRM, and IoT telemetry into a single enterprise data platform.
- Data Science as a Service (DSaaS): Applied advanced ML and predictive analytics for demand forecasting, predictive maintenance, quality control, and inventory optimisation.
- GenAI as a Service: Deployed GenAI solutions for product design simulation, supply chain optimisation, digital twins, workforce productivity, and customer service automation.
- Industry 4.0 Alignment: Established governance, architecture standards, and a digital roadmap aligned with Industry 4.0 principles.


Outcomes
The program delivered tangible business value and positioned the organisation as a future-ready manufacturer:
- 30% reduction in supply chain delays with AI-driven demand forecasting and logistics optimisation.
- 25% improvement in asset uptime through predictive maintenance powered by IoT and ML.
- Significant cost savings from streamlining production planning and reducing inventory waste.
- Enhanced customer engagement with personalised service and faster product delivery through GenAI-enabled platforms.
- Future-ready foundation established with modern data and AI capabilities driving continuous innovation.
Program Artefacts

Program Technology Stack






Before, we were marketing in the dark. Now, we know who our customers are, what they want, and how to speak to them. The 360° view has not only increased our revenue but also strengthened our customer relationships.
Sarah Langston, VP of Marketing, NovaRetail Inc.