Measures and analyzes environmental impacts such as emissions, resource use, and climate-related performance. It helps organizations set targets, track progress, and meet sustainability requirements.
Use cases
19
Examples
19
Industries
10
Timeline
14 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
11 cases documented across 37 months (Jul 23 – Jul 26), peaking at 2 in July 2026.
AI Use Cases Hub
5 earlier cases before Jul 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
2.6Innovativeness2.6/5Differentiated2.6/5 - Differentiated. A practical sustainability analytics deployment using a packaged Alibaba Cloud solution with pre-built models and dashboards; similar in novelty to recent incremental cloud governance cases rather than a custom AI system.
Press Metal Aluminium Holdings Berhad in Malaysia adopted Alibaba Cloud Energy Expert to automate carbon accounting and reporting for product carbon footprint quantification.The company had relied on Excel-based lifecycle assessments that were time-consuming, labor-intensive, and not real time, creating difficulty identifying GHG emission sources across the full product lifecycle and meeting EU CBAM reporting needs.
2.9Innovativeness2.9/5Differentiated2.9/5 - Differentiated. This is a practical sustainability analytics deployment using Alibaba Cloud's Energy Expert and certification tooling. It is more specific than a generic ESG dashboard because it ties event emissions analysis, stakeholder engagement, and verification into one program, but it remains an applied, incremental use of vendor tools rather than a novel architecture.
The International Canoe Federation (ICF) is using Alibaba Cloud's AI-powered Energy Expert to quantify, analyze, and act on carbon emissions across events and stakeholders.At the 2024 Paris Olympic Games, Energy Expert will track emissions from venue construction, fan activity, and other event factors to build an event carbon baseline for future planning.ICF and Alibaba Cloud also plan an interactive sustainability app to encourage green actions and Alibaba Cloud's Supply Chain Green Certification to verify partner and product energy consumption.
3.5Innovativeness3.5/5Advanced3.5/5 - Advanced. Compared with recent calibration cases, this is a differentiated document-processing plus LLM pipeline for sustainability analytics, but it remains a focused applied implementation rather than an advanced multi-agent or breakthrough architecture.
Carrier Global Corporation is using generative AI to scale its Abound Net Zero Management product for a global audience.Customers upload utility bills in local languages, which are extracted and processed to generate actionable energy-saving and emissions insights.The solution is in pilot and is intended to help customers manage energy consumption and reduce carbon footprints.
4Innovativeness4/5Advanced4/5 - Advanced. The case combines centralized sustainability data management with automated assurance-letter review using Azure OpenAI, plus real-time compliance/risk visibility via Power BI and Cloud for Sustainability—an end-to-end regulated workflow transformation.
Eckes-Granini, a leading fruit juice producer in Germany, faced increasing demands to ensure the sustainable sourcing of its raw materials and comply with Germany's Supply Chain Due Diligence Act. To meet these regulatory and corporate sustainability goals, the company leveraged a suite of Microsoft technologies including Microsoft Intelligent Data Platform, Microsoft Azure, Azure OpenAI Service, Power BI, and Microsoft Cloud for Sustainability. This enabled centralized supplier data, automated review processes, and real-time visibility on supplier sustainability progress. Eckes-Granini connected essential data sources, visualized supplier progress, and rapidly automated assurance letter processing, preparing the company for current and future regulatory requirements. As a result, nearly 70% of their juice ingredients now meet advanced sustainability standards, and supplier survey processing times and manual effort were sharply reduced, boosting operational efficiency and resilience. The project exemplifies how advanced analytics and AI-powered automation can deliver tangible improvements in supply chain compliance and risk mitigation for a consumer goods company subject to new environmental regulations.Sustainability data was centralized, enabling proactive tracking and risk management across the supplier network. The technology foundation also supports ongoing adaptation to regulatory changes and deeper supplier engagement. The case demonstrates how digital transformation directly supports business continuity, resilience, and environmental goals for large-scale food and beverage supply chains.
2Innovativeness2/5Incremental2/5 - Incremental. The case describes broad adoption of Microsoft AI/ML/IoT and cloud data platforms for ESG data transparency and reporting, including digital twins/blockchain, but without concrete novel technical integration details.
Many Brazilian energy and utilities firms are advancing their ESG (Environmental, Social, and Governance) efforts by implementing Microsoft AI, machine learning, automation, and IoT solutions. This adoption follows the introduction of stricter national regulations, pressing for improved sustainability data transparency and operational efficiency. Service providers like Accenture, Capgemini, IBM Consulting, Wipro, Tata Consultancy Services, Deloitte, EY, NTT DATA, PwC, and Schneider Electric partner with enterprises to integrate sustainable practices, including renewable energy systems, electric mobility, and real-time emission monitoring. Microsoft is specifically recognized for leadership in IT solutions and managed services for ESG in Brazil, driving digital transformation to meet evolving standards and environmental challenges in the sector. These technology-driven initiatives have improved data collection, traceability, and made companies leaders in sustainable operations.
3Innovativeness3/5Differentiated3/5 - Differentiated. The case describes automating and centralizing Scope 1–3 emissions measurement by integrating internal, external, and IoT data into a unified model with Microsoft Sustainability Manager and real-time Power BI dashboards, including phased expansion for supplier engagement.
Grupo Bimbo, the world’s largest baking company, struggled to effectively measure and manage its Scope 1, 2, and 3 emissions due to vast operations and data silos. Their traditional approach—manual data collection from multiple systems—was labor-intensive and prone to human error. To address these challenges, Grupo Bimbo adopted Microsoft Cloud for Sustainability with Azure, Power BI, Dataverse, and Power Platform. The new solution automates data collection, centralizes reporting, integrates internal and external (incl. IoT) data, and aligns with Grupo Bimbo's cybersecurity posture. It began as a pilot in Latin America, initially targeting Scope 1 and 2 emissions, with plans to expand to Scope 3 and supplier engagement. The Microsoft Sustainability Manager aggregates data, enabling real-time dashboards and actionable KPIs. The result is less manual work, one transparent data source, and actionable insights that support both Grupo Bimbo and its suppliers in moving towards net zero goals. These improvements also benefit customers and investors, positioning Grupo Bimbo as a sustainability leader in the food industry.
3Innovativeness3/5Differentiated3/5 - Differentiated. Applies Azure AI/IoT for multiple domain-specific real-time use cases including wildlife anti-poaching (motion-triggered cameras) and sustainability/inclusion initiatives.
Spain's cultural values of community and inclusion are integrated into technological advancements using Microsoft Azure AI and IoT. Key initiatives include sustainable infrastructure management by Ferrovial and inclusive solutions by Grupo Social ONCE. LALIGA uses real-time AI analytics to deliver enriched fan experiences and better player insights. Motion-triggered cameras equipped with Azure AI help Peace Parks Foundation combat poaching in South Africa.
3Innovativeness3/5Differentiated3/5 - Differentiated. Uses an AI assistant to automate ingredient-level life cycle assessment and scenario simulations over 60,000 products, but the architecture details are limited beyond chatbot/Q&A over supply chain data.
Mondra, a leader in food supply chain decarbonization, launched Sherpa, an AI-powered assistant built on Azure OpenAI, to help UK grocery retailers assess and reduce the carbon footprint of their products down to the ingredient level. Sherpa enables retailers to interrogate supply chain data via natural language and simulates the impact of sourcing changes on emissions and resilience. The platform automates life cycle assessment at scale, providing actionable data for over 60,000 products and serving 85% of the UK grocery retail market. The solution allows rapid scenario analysis, such as ingredient reformulation or supplier changes, enabling significant carbon savings and supply chain resilience. Key stakeholders include major UK grocers, NGOs, and the UK government. Early results show measurable decreases in product emissions, exemplified by an 18% reduction from a single product reformulation. Sherpa is an industry-first in providing such granular and scalable carbon analytics for grocery supply chains.
3Innovativeness3/5Differentiated3/5 - Differentiated. It combines sustainability data management, reporting automation, and AI-driven anomaly detection/forecasting within an ESG workflow using integrated platform components, though the novelty is largely based on productized features.
EY, a global professional services firm, partnered with Microsoft to deliver integrated sustainability performance management solutions addressing the challenges of fragmented ESG data, measurement, and decarbonization strategy. EY implemented Microsoft Sustainability Manager and Power Platform solutions for automated tracking, analytics, and reporting, and co-developed Microsoft Cloud for Sustainability Data Solution in Fabric. The integration of Copilot brought AI-powered predictive analytics, anomaly detection, and automated footprint reduction to the workflow. These offerings have helped more than 100 organizations streamline ESG compliance, gain real-time insights, and design actionable Net Zero pathways. The joint approach enables customers to consolidate their sustainability data, improve reporting accuracy, and drive enterprise-wide decarbonization.
3Innovativeness3/5Differentiated3/5 - Differentiated. Implements geospatial machine learning for climate/water/agriculture use cases through partnerships, indicating applied domain innovation beyond generic AI adoption.
Microsoft is driving climate solutions and sustainable agriculture innovation across Africa, particularly in Nigeria and South Africa. Through the expansion of its AI for Good Labs to Africa, Microsoft collaborates with local nonprofits and international partners to address urgent climate resilience needs. Initiatives cover water management in Kenya, historical land analysis in Namibia, and agricultural practice improvements. Investments from Microsoft's Climate Innovation Fund support clean cooking solutions and renewable energy projects in Nigeria. Projects such as rehabilitating water systems with WaterAid in Nigeria and water replenishment partnerships in South Africa showcase a commitment to environmental and social impact. Strategic technical collaborations, geospatial machine learning, and AI-based insights underpin these efforts, accelerating scalable, community-driven climate actions. Attention is also given to fostering an African-created technology ecosystem capable of addressing climate and agriculture challenges independently.
How many sustainability analytics use cases are documented?
The AI Use Case Hub documents 19 real sustainability analytics deployments across 10 industries, with 19 detailed company examples you can browse.
Which industries adopt sustainability analytics the most?
Sustainability analytics is most common in Energy & Utilities (21%), Consumer & Food (16%) and Other (16%).
Which countries lead in sustainability analytics?
United States leads documented sustainability analytics deployments, followed by Netherlands and Germany.
What technologies are used for sustainability analytics?
Teams most often build sustainability analytics with Azure AI, Azure ML and Azure.
What AI capabilities power sustainability analytics?
Across the documented deployments, the most common capability patterns are Sustainability (63%), Agent (11%) and Copilot (5%).
What results do companies report from sustainability analytics?
Across the 19 deployments reporting outcomes, companies most often cite new product / capability (63%), customer experience & trust (53%) and better decisions & insight (42%). Where impact is quantified, the strongest evidence is in sustainability & resources: a median −18% across 3 reported metrics.