AI Agents Streamline Sustainability Reporting and Initiatives for Non-Technical Teams

Introduction For years, the focus of addressing sustainability has been on specific problems using Supply Chain Analytics methodologies and tools. However, as political and financial pressures shift attention away from environmental goals, the urgency to facilitate companies' green transformations has never been more critical. At the ChangeNOW conference in Paris, it became evident that companies face significant obstacles in their sustainability efforts. This article explores how agentic AI can help overcome two major barriers: data collection and processing, and reporting format. Obstacles for Green Transformations Data Collection and Processing The first step in any sustainability roadmap is establishing a robust reporting foundation. Companies must measure and publish their environmental footprint before taking action. However, many struggle with data collection and processing. Life Cycle Assessment (LCA) is a method for evaluating a product's environmental impacts from raw material extraction to disposal. Implementing LCA requires a complex data pipeline to connect various systems, extract raw data, process it, and store it in a data warehouse. These pipelines serve to generate reports and provide harmonized data sources for analytics and business teams. To simplify this process, LogiGreen has developed an AI agent for text-to-SQL applications. This agent allows business and operational teams to formulate data requests in plain English, eliminating the need for analytics experts. For instance, a user can request, "Please generate a table showing the sum of CO₂ emissions per day for all deliveries from warehouse XXX." The agent processes this request and delivers the results, making data extraction and calculation more accessible. Reporting Format Even after collecting the necessary data, companies often face challenges in generating reports that meet regulatory requirements. Documents enriched with detailed Environmental, Social, and Governance (ESG) taxonomies can be highly technical and prone to errors, especially for those with low data maturity. To address this, LogiGreen has created an AI agent that automatically audits reports and provides summaries to non-technical users. Here's how it works: users send their report by email, and the system downloads the attached file, performs an audit of the content and format, and searches for errors or missing values. The results are then sent to an AI agent, which generates a clear summary of the audit in English. This service is fully automated and can be used by sustainability consultants without requiring technical skills, making the reporting process smoother and more efficient. Agentic AI for Sustainable Initiatives Analytics Products for Sustainability The core of any green transformation involves designing and implementing sustainable initiatives. Over the past two years, LogiGreen has focused on building analytics products, including web applications, APIs, and automated workflows. These products help estimate Scope 3 emissions, which are indirect emissions in the value chain, and define reduction targets with clear deadlines. For example, a company might commit to a 30% reduction in CO₂ emissions by 2030. The supply chain department plays a crucial role in achieving these targets by implementing initiatives that reduce environmental impacts. LogiGreen's analytics products simulate the effects of different initiatives, providing key insights to support operational decision-making. One such module helps users understand that relocating a factory from Brazil to the USA could achieve a 32% reduction in CO₂ emissions. However, interacting with these applications can be daunting for non-technical users. Agentic AI for Accessibility To make sustainability analytics more user-friendly, LogiGreen is evolving its solutions by integrating autonomous AI agents. These agents interact directly with analytics models and tools through API endpoints, guiding non-technical users through the entire sustainability journey. They start from a simple question like, "How can I reduce the CO₂ emissions of my transportation network?" and provide straightforward, business-oriented outputs such as, "Implement Solution XXX with an investment budget of YYY euros to achieve a CO₂ emissions reduction of ZZZ tons CO₂eq." By combining optimization models, APIs, and AI-driven guidance, LogiGreen offers an Analytics-as-a-Service experience that simplifies one of the biggest obstacles companies face when beginning their green transformation. Communicating insights in simple language and guiding users through their journey helps bridge the gap between data-driven solutions and operational execution. Industry Insights and Company Profile Industry insiders view the integration of AI agents in supply chain analytics as a significant step forward. These agents are seen as powerful allies that can accelerate sustainability roadmaps by making data-driven decisions more accessible and actionable. LogiGreen, a startup founded by Samir Saci, a Supply Chain Engineer, has been at the forefront of developing these innovative solutions. The company's commitment to minimizing the environmental footprint of its own solutions underscores its dedication to sustainability. Samir Saci emphasizes the importance of responsible AI use, ensuring that the solutions developed are not only effective but also environmentally friendly. He believes that AI agents will play a pivotal role in empowering all teams within a company, not just technical experts, to contribute to and benefit from sustainability initiatives. By connecting the dots between data analytics and operational execution, LogiGreen aims to democratize access to sustainable practices and foster a more environmentally conscious business landscape. For further discussion or consultation on analytics and sustainable supply chain transformation, you can connect with Samir Saci on LinkedIn and Twitter. His technical blog focuses on data science, personal productivity, automation, operations research, and sustainable supply chains, providing valuable insights and practical advice. In the rapidly evolving world of sustainability, AI agents are proving to be game changers, offering a competitive edge by enabling companies to implement their green strategies more effectively and efficiently.