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Looking Ahead: Using AI to Build Dynamic Cost Models
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Looking Ahead: Using AI to Build Dynamic Cost Models

Provide your email address to download Muir AI's white paper on how the changing supplier and product landscape requires innovative approaches for should-cost analysis.

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Free Emission Factor Calculator

Model Spend Based Emissions Easily For A Variety of Products

All you need to do is give us your product name and how much you spent on it.  

Thank you for submitting your request, you should receive an email shortly with a link to our calculator's output shortly. This calculator is using commercial AI models and EPA's economic input/output factors to estimate the emissions. This is a simplistic way to get quick, high level estimates of your upstream emissions.

That said, at Muir we have developed proprietary models that work just as fast and are as simple to use to generate novel, mass based and actionable product carbon footprints. While we think this calculator is great and fun to use, we're happy to tell you more about how we can provide you with the intelligence needed to decarbonize.

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Muir leverages novel technology capabilities, including AI, to generate actionable insights on products and supply chains. Here is how it works: 
  1. Muir requires simple procurement data (product name, supplier, destination) in order to generate advanced insights. Combined with product mass or quantity, the Muir AI engine can begin processing results.
  2. Muir creates a synthetic Bill of Materials (BOM) for every product, providing insight into the components and materials that make up a product.
  3. Muir provides insights into the likely sourcing locations for every material in the product, enhancing understanding of a product's global supply chain. Muir also analyzes the carbon emissions associated with every product.
  4. And for every product analyzed, Muir automatically generates recommendations to reduce carbon emissions, evaluating interventions based on total reduction of emissions, change in cost, and the difficulty to implement.