Challenges
Before implementing the C3 AI Sustainability Suite—including C3 AI Sustainability Data Reporting, C3 AI Emissions Management, C3 Generative AI for Sustainability, and C3 AI Value Chain Sustainability—the company relied on fragmented data management systems that required extensive manual effort to collect, validate, and report sustainability metrics. Data sources were spread across multiple enterprise systems, supplier documents, and Excel templates, making it difficult to take action and achieve consistency and accuracy in sustainability reporting.
Approach
The company partnered with C3 AI to deploy an AI-powered sustainability data management platform, integrating structured and unstructured sustainability data across its global operations. Over nine months, the team ingested and standardized three years of historical sustainability data from 14 enterprise systems, including SAP Finance, Stealth (ERP), and SuccessFactors (HR), creating a single source of truth for sustainability reporting. C3 Generative AI for Sustainability enabled natural language queries over the resulting structured and unstructured sustainability data.
Solution Architecture
Proven results in weeks, not years
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