Pharmaceutical companies are under growing pressure to report their environmental impact, and the requirements are becoming more concrete. PAS 2090:2025 has introduced pharma-specific product category rules for life cycle assessments. In France, environmental criteria have been mandatory in public tenders since August 2026, and the NHS in England is expanding its requirements to individual products by 2028. For most sustainability teams, the hardest part isn’t the reporting itself, but the data behind it.

Supply chains hold thousands of specialized substances, and for many of them, robust emission factors simply don’t exist. Teams end up guessing which gaps matter most and waiting on supplier requests that come back empty. Handling this material by material doesn’t scale, and full supplier-specific modeling for every low-priority material is rarely worth the cost.

In this webinar, we’ll show you a systematic approach to close these gaps. You’ll see how Carbon Minds Automated Mapping Service identifies all your data gaps at once, so you can pinpoint emission hotspots and focus your effort where it counts. From there, we show how to match each gap to the right depth of Custom Modeling: an efficient, scalable level for the bulk of your materials, and a deeper, expert-driven level for your high-priority substances. We’ll also explore where emerging approaches such as retrosynthesis and AI can add value, and how to use them while maintaining data quality and methodological consistency.

Join us to move from fragmented data and costly guesswork to a complete, consistent, and defensible emissions inventory that meets the highest pharmaceutical standards.