Mar 17 2024 82 mins 2
Many cities and countries globally are setting ambitious targets to achieve net-zero emissions, with mobility and logistics playing a pivotal role in reaching these goals. Fleet operators are confronted with the significant challenge of planning for energy transition, necessitating substantial capital investments in the coming years. However, they must prioritize between various projects and adopt a data-driven approach. Data will also be crucial in ensuring compliance and accessing a rapidly expanding array of climate-based financing products. This will entail leveraging machine learning and artificial intelligence to analyze and comprehend the data, enabling informed decision-making and strategic planning for energy transition initiatives.
Danielle Walsh is co-founder and CEO of Clearly, a startup based in the UK, which helps the global transportation sector to reach net zero emissions. Clearly is the company with the data and AI stack that enables corporations to actually achieve their net zero targets in the largest part of the economies - transport and anything related to that. It uses AI to gather, combine, and enhance data across the supply chain so companies know exactly where the most emissions are coming from in the fleet; easily assess optimal projects to reduce emissions, and automate the access of shared and cheaper financing. The company is already operating in 8 cities around the world, has more than 50,000 assets under contract, and has tracked over 100 million trips. Prior to founding her venture, she was a Director in TMT Investment Banking at HSBC and led Technology for Future Cities & New Initiatives. She is also an Angel Investor.
