Team
Sajib (Ryhan) Suny, Amaka Genevieve Jane Awa, Matthew Kolawole Oluwadamilare, Noah Nkalubo Nsimbe
Categories
Artificial Intelligence, Big Data/Business Intelligence, Cloud, Data Analysis, Deep Learning, Machine Learning, Python, Time Series
Overview
Our AI-powered SaaS platform revolutionizes Scope 3 emissions management for SMEs by focusing on business travel. Leveraging advanced machine learning algorithms, the platform automates data collection via ETL processes and API integrations, enhancing accuracy by 40%. This ensures reliable emissions reporting and offers predictive analytics to forecast trends and set reduction targets.
The intuitive dashboards provide real-time, data-driven insights, enabling SMEs to monitor, analyze, and strategize effectively. By simplifying the MRV process and delivering actionable insights, our solution empowers businesses to make informed decisions, align with regulatory requirements, and drive meaningful reductions in their carbon footprint. This comprehensive approach not only enhances environmental accountability but also supports SMEs in achieving their sustainability goals, delivering significant business value through technology.
Enterprise AI for Smart Carbon Accounting & Analytics - Project Greenalytica
Transforming business sustainability: Our AI-powered SaaS platform revolutionizes Scope 3 Business Travel related Green House Gas emissions management and analytics, enhancing data accuracy and providing actionable insights powered by advanced machine learning prescriptive and predictive models to reduce carbon footprint effectively.
