For Schneider Electric
EmitZero
Product leadership and AI expertise to identify, ideate, and validate a supply-chain decarbonization platform.
Overview
Through rigorous customer research and a robust product design process, we helped create a new line of business for Schneider Electric.
EmitZero, now integrated with Schneiderʼs Sustainability Business Unit, leverages machine learning to create end-to-end decarbonization roadmaps for mid-sized suppliers to large public companies.
Product Definition
Over the course of several months, the EmitZero team, into which we were embedded, interviewed over 140 potential customers, building key relationships along the way.
Interview formats included pain point, storyboard, and prototype interviews to assess the value and potential solutions to real-world customer problems.
AI/ML Prototype
Our working prototype identified and evaluated industrial decarbonization projects by applying AI/ML principles using Python. The prototype mined a massive decarbonization data set from the DoEʼs Industrial Assessment Centers (IACs).
Design
The resulting design artifacts included a roadmap app & dashboard for each supplier and a portfolio dashboard for large public companies that purchase goods & services from the mid-sized suppliers.
Outcome
Along with a value proposition grounded in customer demand and design artifacts, Evolve proved a key open question on implementability and scalability of the technical product. The EmitZero product is now part of Schneider’s Sustainability Business Unit.
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