Environment Emissions Forecast

Real Variable's RealGreen for Emission Forecast

RealGreen is Real Variable’s AI-powered emissions forecasting and optimization platform, designed to help enterprises and governments navigate the path to sustainability with precision, transparency, and accountability. At a time when environmental compliance, ESG mandates, and carbon reduction commitments are more urgent than ever, RealGreen empowers organizations to make smarter operational decisions by forecasting, simulating, and optimizing carbon emissions across complex, multi-node ecosystems.

Purpose-Built for Real-World Impact

Unlike traditional carbon tracking tools that rely heavily on post-event reporting, RealGreen delivers predictive, real-time insights using advanced machine learning, data fusion, and edge analytics. It dynamically integrates internal enterprise data—from ERP, supply chain, operations, energy usage, and logistics systems—with external datasets like weather patterns, regulatory shifts, transportation routes, and market behaviour. This fusion enables hyper-contextual forecasts of emissions outcomes over time, geography, and business scenarios.

Key Capabilities

• Predictive Emissions Modelling: RealGreen uses time-series forecasting models to predict GHG emissions (Scope 1, 2, and 3) with high fidelity. It can project emissions based on planned operations, supplier behaviours, and customer demand shifts.

• Scenario Simulation Engine: RealGreen allows users to simulate what-if scenarios, such as shifting transportation modes, changing suppliers, or retrofitting infrastructure. Each scenario generates projected emission and cost outcomes, supporting data-backed sustainability strategy.

• Edge & IoT Integration: RealGreen can be deployed in industrial and logistics environments via Real Variable's Edge AI nodes. This enables real-time emissions capture from field devices, improving granularity and accuracy without data latency or cloud dependence.

• Policy & Target Alignment: The platform includes ESG compliance intelligence to align forecasts with frameworks like GRI, SASB, and the EU Taxonomy. Dashboards show how actions track against regulatory targets and Science Based Targets initiative (SBTi) goals.

• Operational Optimization: Beyond tracking, RealGreen suggests interventions—like adjusting production schedules or rerouting shipments—to reduce emissions while maintaining service levels and margins. These interventions are driven by reinforcement learning models that learn from historical and real-time performance.

Built for Sustainability Leaders

RealGreen is designed for Chief Sustainability Officers, Operations Managers, and Policy Analysts who need credible, auditable, and actionable emissions data. It supports cross-functional teams by integrating with digital twins, enterprise data lakes, and sustainability reporting platforms.

Why RealGreen?

• Transparent Forecasts: Avoid greenwashing and improve investor confidence with explainable AI models and auditable emission predictions.

• Supply Chain Resilience: Understand the carbon impact of sourcing decisions, supplier risks, and route optimization before making costly moves.

• Accelerated Decarbonization: Prioritize interventions that deliver the highest impact-per-dollar or per-ton of CO₂e reduced.

• Scalable Architecture: RealGreen is cloud-native, API-first, and built for scale—supporting multi-region, multi-enterprise collaboration.

Transform Carbon Strategy into Competitive Advantage

RealGreen is more than a monitoring tool—it’s a strategic engine that turns emissions insight into competitive advantage. Whether you're aiming to meet ESG goals, participate in carbon markets, or decarbonize supply chains, RealGreen provides the intelligence to lead sustainably and decisively.

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