
Achieving Precision by Overcoming Spend-Based Limitations
TTI replaced inaccurate spend-based emissions estimates with process-based Generative LCAs, cutting manual effort by 99% and achieving 99.99% coverage.
99.99% Coverage
Across all analyzed components.
99% Less Manual Effort
Automated modeling for every BOM.
The Challenge
Before Sluicebox
TTI relied on spend-based emissions calculations, a method that proved highly inaccurate because it depended on financial data instead of actual manufacturing processes. The resulting estimates ranged from severe underestimation (-197%) to substantial overestimation (+135%). Moving to traditional process-based LCAs was viewed as impractical because it would require more than 100 hours of manual effort for 1,573 parts from 51 suppliers.
The Solution
After Sluicebox
Sluicebox's Generative LCAs replaced spend-based calculations with precise process-based computations. The platform instantly mapped each manufacturing part number to the right emissions factors and computed emissions for all 1,573 parts, removing the speed, cost, and scalability barriers that typically limit process-based LCA work.
Key Results
What changed
- Immediate ScalabilityReduced the calculation time from more than 100 hours of manual work to under 3 seconds, making accurate LCAs immediately scalable.
- Enhanced Coverage and RecencyReached 99.99% coverage across analyzed components, with more than 52% of the data updated from 2024.
- Superior AccuracyEliminated the large swings caused by spend-based analysis by tying emissions directly to manufacturing processes.
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
Key Takeaway
Sluicebox gave TTI a scalable way to run accurate, process-based emissions calculations without the traditional manual burden. That shift removed the limitations of spend-based methods and improved TTI's readiness for evolving regulatory and customer sustainability requirements.
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