Coles

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Coles has 4 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries.

Use Cases

4

Industries

2

Countries

2

Hyperscaler mix

See whether Coles's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How Coles builds AI

Build / Buy / Compose across this company's documented cases

BuildBuyComposeMixed

2 of 4 cases classified (50%) · Compare all use-case types

Use case portfolio

Use case types at Coles

AI platform leads with 1 of 4 documented cases; 4 distinct types appear across the visible portfolio.

Ranked by documented casesShare of visible cases
  1. AI platform1 case25%
  2. Industrial inspection1 case25%
  3. Livestock monitoring1 case25%
Browse type directory

Evidence persistence

3 of 3 judgeable cases are still publicly referenced · 3 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

Technology snapshot

What Coles uses across visible cases

AI Agents appears in 2 of 4 indexed cases; 14 named technologies are mentioned, led by Azure AI.

All Use Cases (4)

Microsoft

Coles Group modernizes logistics and retail using Microsoft Azure AI

Coles Group expanded its Azure Stack HCI footprint from 2 to over 500 stores, implementing edge AI capabilities to improve logistics and retail operations across 1,800 stores.The company also adopted Azure Machine Learning to train and develop edge AI models, accelerating data annotation for AI training models by 50%.This implementation led to a six-fold increase in the pace of application deployment, enhancing operational efficiency while enabling rapid innovation without disrupting workloads.

Retail
Microsoft

Coles delivers hyper-personalized retail experiences and boosts efficiency with AI and Copilot

Coles Group, an Australian retail leader, has partnered with Microsoft on a strategic five-year digital transformation journey. The initiative seeks to modernize Coles' IT estate, increase operational efficiency, and enhance customer experience through Microsoft Fabric, Azure OpenAI, Azure ML, and Copilot agents.A core component is an AI-as-a-Service platform enabling rapid, secure rollout of AI use cases—including 'Tell Coles', a generative AI tool for analyzing customer feedback and sharing insights with store managers. Coles also employs Microsoft Fabric at the center of its digital data platform to deliver real-time, personalized recommendations for customers on all channels.Intelligent Edge Backbone (IEB) technology supports IoT-enabled supply chain advances and in-store machine learning, reducing stock loss and advancing sustainability goals. Additional tools, such as Power Apps and Copilot, boost productivity for staff and help modernize business processes.The co-innovation has enabled Coles to handle massive data volumes, democratize analytics, and use Power BI for targeted reporting—helping management make smarter, faster decisions.Coles measures success in improved customer sentiment, efficiency gains, reduced losses, and deeper customer engagement—all while advancing sustainability.

Retail
AgentVisionCopilotFabric
Microsoft

AI-Driven Transformation Across Industries Yields Measurable Productivity and ROI Gains

IDC's 2024 Business Opportunity of AI study, commissioned by Microsoft, highlights the real-world impact of generative AI and AI copilots across diverse industries such as manufacturing, healthcare, retail, financial services, and education. The article details concrete implementations achieving substantial productivity and ROI gains within as little as 13 months. Examples include Lumen Technologies (telecom) saving $50 million annually by automating seller workflows, Chi Mei Medical Center dramatically reducing physician and nurse documentation times, Coles Retail optimizing inventory and logistics, and dentsu agency streamlining creative operations. Siemens' Industrial Copilot has helped over 50 manufacturing clients address labor shortages and complexity. Providence Healthcare and USF in education illustrate improved operational efficiency, care delivery, and skill development. Noted challenges include upskilling workforces and integrating advanced custom AI solutions.

OtherGlobal
AgentCopilot

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