99.99% Coverage
across all analyzed components
Save 99% of Manual Effort
to get immediate, automated modelling for all BOMs
TTI relied primarily on spend-based emissions calculations, a method that proved highly inaccurate due to its reliance on financial data instead of actual manufacturing processes. Spend-based approaches resulted in emissions estimates fluctuating dramatically—ranging from significant underestimations (-197%) to significant overestimations (+135%). Market-driven price fluctuations or volume discounts meant that spend-based calculations correlated with financial factors rather than reflecting actual manufacturing processes or raw material impacts (Wang et al., 2022). However, transitioning to traditional process-based LCAs was seen as impractical due to the heavy manual workload, typically requiring over 100 hours per request for just 1,573 parts from 51 suppliers. These discrepancies with spend-based analysis made it difficult to keep pace with evolving EU regulatory frameworks favoring process-based analysis (Sala & Castellani, 2019).
Sluicebox’s Generative LCAs replaced TTI’s inaccurate spend-based calculations with precise process-based computations. Sluicebox instantly computed emissions for the 1,573 parts by accurately mapping each Manufacturing Part Number (MPN) to actual emissions factors, removing the barriers that traditionally made process-based LCAs slow, expensive, and difficult to scale.
Immediate Scalability: Reduced the calculation time from more than 100+ hours of manual effort to under 3 seconds—a 99% time savings—making accurate, detailed LCAs immediately scalable.
Enhanced Coverage and Recency: Achieved 99.99% coverage across all analyzed components, with more than 52% of data updated from 2024, ensuring timely and relevant emissions data.
Superior Accuracy: Prior spend-based analyses were inaccurate, ranging from -197% (severe underestimation) to +135% (significant overestimation). Sluicebox eliminated these errors by delivering precise, process-level emissions directly tied to manufacturing processes.
across all analyzed components
to get immediate, automated modelling for all BOMs
Sluicebox’s Generative LCAs equipped TTI with the ability to rapidly and accurately scale process-based emissions calculations, overcoming critical limitations of spend-based methods and significantly enhancing TTI’s ability to meet evolving regulatory and customer sustainability demands.
TTI, Inc.
“Sluicebox's Generative LCAs enabled us to rapidly scale accurate, process-based emissions calculations—eliminating the extreme inaccuracies of spend-based methods."
Meredith Smith
Global Sustainability, TTI
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.
