Which data analytics innovation has most significantly reduced material waste in large-scale architectural projects over the past decade?

In today's architecture industry, data analytics has transformed how firms design, build, and manage structures. From optimizing energy efficiency to predicting maintenance needs, architects now leverage sophisticated data tools to enhance building performance and sustainability. This trivia question explores a groundbreaking implementation of data analytics that has changed how architectural firms approach large-scale projects.

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Predictive Material Modeling (PMM) that uses AI to calculate optimal material quantities with 98% accuracy
Blockchain-based material tracking systems that verify material sourcing and delivery
Augmented Reality visualization tools that display material requirements on-site
Carbon Footprint Analytics (CFA) that exclusively focuses on environmental impact measurement