Presentation Title:
Decoding Scope 3 Emissions: AI-Driven Supplier Sustainability Insights and Analytics
Track G: Energy Data, Tracking, and Analysis
Session G3: Big Data & IoT
Day 2Â 2:00 pm
Speaker(s):
Abstract:
| Scope 3 emissions pose significant challenges due to their complexity and the intricacies of data collection. With regulatory frameworks such as California’s Climate Corporate Data Accountability Act and the EU’s Corporate Sustainability Reporting Directive (CSRD) enforcing stringent emissions disclosures, organizations are compelled to adopt advanced technological solutions to ensure compliance and achieve substantial carbon footprint reductions.
This presentation discusses the application of AI within the energy supply chain to enhance the inventory, tracking, and estimation of Scope 3 emissions. By employing AI-driven data analytics, companies can automate emissions data collection from suppliers, improve data accuracy, and pinpoint emission hotspots across their supply chains. These capabilities not only facilitate adherence to compliance requirements but also enable operational efficiency optimization, strengthen supplier engagement, and support the development of targeted emissions reduction strategies. Moreover, the AI-powered framework aligns with regulatory mandates by offering automated data validation and compliance reporting. While it doesn’t enforce compliance directly, it provides real-time analytical guidance, ensuring organizations meet industry standards and proactively address potential regulatory risks. Attendees of this session will acquire practical insights into leveraging AI for effective Scope 3 emissions management, thereby enhancing supplier sustainability, supply chain transparency and securing a competitive edge in an increasingly carbon-conscious market. |