Multinational Pharmaceutical Company

How has the new Unit8 solution improved customer’s carbon footprint evaluation process?

Challenge

• Customer’s departments are required to verify the carbon footprint values provided by its suppliers. This process is not only labor-intensive but also prone to errors, which can compromise the integrity of our assessments.
• There is a challenge in identifying which carbon footprint values need correction. In many instances, there were products for which no valid carbon footprint data were available (even thousands of such cases to address)
• Although company has a team of skilled life cycle assessment experts, their capacity is limited. With thousands of cases to address, customer’s current manual processes are not sustainable

Solution

• An AI-powered tool has been designed to evaluate the quality of Product Carbon Footprint (PCF) values and identify suitable proxies for Life Cycle Assessment (LCA) calculations.
• User Input Analysis: Users provide details such as material name, geography, and production processes. The newly created tool then searches a database for similar entries.ensuring accurate and relevant results
• Using OpenAI model embeddings, the tool identifies similar materials with cosine similarity. For brief inputs, it generates additional information to enhance search accuracy
• The solution verifies user-provided carbon footprint values; if no PCF is provided, it suggests similar materials
• For large-scale needs, users can submit bulk requests via Excel, with results available the next day.

Business Impact

• Tool implementation significantly speeds up the evaluation of carbon footprints, enabling experts to quickly prioritize and review materials that are most out of range.
• During development, we assessed approximately 5,000 different materials to ensure that Carbon Clarity provides comprehensive coverage and accuracy. This extensive database supports a wide range of materials and scenarios.
• The Unit8 solution offers a novel and in-depth perspective on the PCF database, facilitating more thorough and insightful analysis.