100x Faster
when modelling individual BOMs compared to manual approaches
100% Coverage
instantly on 5600 components
+30% Improved Accuracy
when compared to expert LCA results
Western Digital’s process-based Life Cycle Assessments (LCAs) were conducted manually, requiring extensive data collection from suppliers. Each product’s assessment typically took up to six months due to slow supplier response times and complex manual matching of emissions factors. Even after two years of effort, only 20% of required supplier data was successfully collected, severely limiting scalability and slowing strategic sustainability decisions. Manual workflows involved significant time spent on BOM scrubbing (45–150 min), data collection (10-60 days), and data modeling (1-6 days per site).
By implementing Sluicebox’s Generative LCAs, Western Digital scaled emissions calculations using AI, transforming a months-long process into real-time analysis, enabling rapid scalability for thousands of components. Moreover, AI-driven "What-if" scenario modeling allowed instant exploration of alternative design and supply chain scenarios, such as switching transportation methods or manufacturing locations, to proactively identify emissions reductions opportunities.
Scalability and Speed: Reduced LCA processing time from months to seconds per product—over 100x faster—enabling unprecedented scalability across more than +5,600 components within minutes.
Comprehensive Coverage: Achieved 100% data coverage on assessed components, with approximately 70% exact matches and about 30% improved matches due to more relevant correlations.
Improved Accuracy and Data Recency: Third-party audits confirmed a 30% improvement in matching accuracy over manual LCAs. Additionally, 52% of the data was from 2024 or later, ensuring timely and relevant insights.
when modelling individual BOMs compared to manual approaches
instantly on 5600 components
when compared to expert LCA results
Sluicebox’s Generative LCAs provided Western Digital with the capability to scale accurate, rapid carbon footprint calculations across its entire product range. This fundamentally reshaped LCAs from a slow, niche practice into an essential real-time business intelligence tool for sustainability and strategic decision-making.
Western Digital
“With Sluicebox, we've evolved from manual, months-long LCAs to real-time carbon intelligence. Now, we have the potential to scale auditable emissions across thousands of products, proactively identify sustainability opportunities, and make strategic decisions faster than ever before."
Suprit Pradhan
LCA and Product Stewardship, Western Digital
Scaling Carbon Footprint with Scale and Precision
Accelerating Primary Data Collection and Accuracy with AI
Achieving Precision by Overcoming Spend-Based Limitations
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Scale audit-ready carbon modelling across the hardware supply chain - from your manufacturing sites to suppliers, accelerating coverage and accuracy across your global product portfolio.
