Energy conservation, decarbonization, electricity cost reduction CS-VP chaos map/industry map
This chaos map is an industry map classified along two axes: the vertical axis represents customers and the horizontal axis represents the value provided.
"Energy Coloring" has conducted research and analysis on energy-saving, decarbonization, and electricity cost reduction services in the power industry through hearings with industry stakeholders since its establishment in 2019. In the classification process, we focused on unique features compared to other companies based on information available on the internet, or classified them based on their core business. A typical chaos map classifies companies and services based on the similarity of the services offered and groups them together. However, during the analysis of services in the power industry, we found many instances of "companies with the same VP but different CS" and "companies with the same CS but not in competition with each other." It became clear that simply using similarity would group together companies that are not essentially in the same category, leading to a lack of clarity. The CS-VP chaos map allows us to group competing companies together, making it possible to list players by business model within the power industry.
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basic information
EnergyColoring Inc. is a company that provides a very smart current meter SaaS. We have developed and operate "EnergyColoring," an IoT app that uses smartphones as current sensors and a power breakdown AI that analyzes measurement results, offered as SaaS. We aim to improve productivity across the entire supply chain of commerce and industry through the efficient use of energy.
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Delivery Time
P1
Applications/Examples of results
We are utilizing it for competitive analysis and partner strategy discussions.
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Company information
EnergyColoring Inc. is an innovative company that achieves decarbonization and energy conservation by visualizing energy use in commerce and industry. By utilizing disaggregation technology, it analyzes consumption patterns of each facility in detail from current waveforms and proposes operational improvement actions using IoT sensors and AI, including generative AI. This enables efficient energy management from an operational perspective, in addition to traditional capital investment, supporting sustainable growth and reducing environmental impact for businesses.