Personalisation at Scale
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#Data Strategy#Enterprise Data Architecture#Business Transformation#Enterprise Data Warehouse (EDW)#Enterprise Information Management (EIM)#ETL#Data Integration#Teradata
#Strategy#Enterprise Applications Architecture#Digital Transformation#Applications Portfolio Management (APM)#EAaaS
#Data Strategy#AI Strategy#Enterprise Data Architecture#AI Architecture#DPaaS#GenAI Applications#EAaaS#RAG#LLMs & SLMs#Agentic Frameworks
#IT Strategy#EA Strategy#Enterprise Architecture Practice#Digital Transformation#Architecture Review Board (ARB)#Design Authority#EA Governance#EAaaS
#Data & AI Strategy#Data & AI Architecture#Data Lakehouse#Data Integration#Data Governance#Data Engineering#GenAI Apps#APRA Compliance
#Data Strategy#Enterprise Data Architecture#Advanced Analytics#Enterprise Data Warehouse (EDW)#Teradata LDM (TLDM)
#Strategy#Enterprise Applications Architecture#Digital Transformation#Applications Portfolio Management (APM)#EAaaS#Target Operating Model (TOM)
We partnered with a leading Australian retailer to modernise their data and AI capabilities, addressing fragmented customer insights, inefficient supply chains, and outdated digital platforms.
By establishing an enterprise-grade data platform and embedding Generative AI across the value chain, we enabled hyper-personalised customer experiences, operational agility, and measurable cost efficiencies.
Modernised retail operations—achieving 30% cost savings while delivering hyper-personalised customer experiences and supply chain resilience with GenAI and data-driven insights.
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.
Business Challenges
- Fragmented Customer Insights: Disconnected loyalty programs and siloed data made it difficult to understand the customer journey.
- Operational Inefficiencies: Rising costs in logistics, store operations, and workforce management reduced profitability.
- Intense Market Competition: Pressures from global e-commerce players and shifting customer expectations strained traditional retail models.
- Inventory & Supply Chain Gaps: Stockouts, overstocks, and poor demand forecasting impacted revenue and customer satisfaction.
IT Challenges
- Legacy Systems: Outdated POS, ERP, and CRM systems hindered scalability and integration.
- Multiple BI Tools: Fragmented analytics platforms prevented a single source of truth for decision-making.
- Data Silos: Customer, supply chain, and sales data were stored in isolated systems across Oracle, SAP, and Salesforce.
- Limited AI Adoption: No enterprise strategy for leveraging AI, particularly in customer engagement, pricing optimisation, and demand forecasting.
Our Approach
- Data Platform as a Service (DPaaS): Consolidated siloed data into a scalable, cloud-based data lakehouse, enabling real-time insights and advanced analytics.
- Decision Science as a Service (DSaaS): Applied predictive analytics for demand forecasting, dynamic pricing, and optimised inventory management.
- GenAI Services:
- Hyper-personalised marketing campaigns with GenAI-driven recommendations.
- AI-powered chatbots for customer service and post-sales engagement.
- Generative AI solutions for supply chain planning, workforce rostering, and vendor negotiations.
- Enterprise Architecture Uplift: Defined future-ready architecture and governance, ensuring alignment with retail business strategy.
Outcomes
We enabled the retailer to transform into a digital-first, customer-centric enterprise:
- 30% cost savings in supply chain and operations through predictive and generative AI.
- 25% uplift in customer engagement through hyper-personalised marketing and loyalty programs.
- Single version of the truth with consolidated data platform for enterprise-wide decision-making.
- Future-ready IT and AI foundations aligned with omnichannel strategy and business growth.
Program Artefacts
Program Technology Stack
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Customer Testimonial
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.
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/Airlines
Institutionalising Analytics, One Warehouse at a Time
We helped a major telecom break down data silos and unlock a 360° view of its customers, powering real-time insights for 3,600+ BI users. The result? Accurate revenue assurance, smarter decision-making, and a data foundation built to scale.
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