Every year, Climate Change Conferences and various ESG forums target policymaking and standards. However, availability of standardized and “action ready data” complying with frameworks has been a monumental challenge. This is especially true for a large Power Distribution company with multiple subsidiaries.

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Their challenge is broader and deeper with its scope including suppliers, partners and other stakeholders. With no proactive assessment, they run the risk of severe consequences including disruption in materials’ flow, negative impact on products’ delivery times, corruption and lack of internal audits, poor financial management, poor brand reputation due to human rights abuses, carbon emissions, etc, decreased employee retention rates etc.

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Secondly, with these regulatory frameworks evolving so quickly amidst stressed geopolitical and macroeconomic scenarios, it is all the more critical for the business to act sooner than later.

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SPAR (Sustainability, Predict, Assess & Refine) an AI-powered solution, powered by SageX platform, rapidly identifies areas of risk and guides users to systemically tackle them in record time with minimal intervention. The core value proposition lies in providing a comprehensive 360 degree analysis of the supply chain sustainability in seconds. The proprietary engine relies on multiple AI and learning models together with credible, authoritative and universally accepted databases to deliver the predictive inherent risk scores and ratings.

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Other than businesses with complex supply chains, this solution is equally relevant for asset managers, their portfolio constituents and their respective supply chain - one of the driving forces to build the most comprehensive ESG data asset.

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