Advanced data automation boosted accuracy, delivered significant productivity gains, and delivered a 150% recurring ROI.
A leading UK-based construction intelligence provider, part of a £350m global information group, tracking over 800,000 building projects annually. Their insights inform strategic decisions across public sector, government, and private businesses.
Manually extracting accurate data from around 200,000 pages of daily construction documents was highly resource-intensive. Ensuring coverage and accuracy of detailed information like materials, contacts, and companies required an advanced automated solution.
Merit implemented an advanced ML solution using NLP and NER to automate extraction, indexing, and classification of data from thousands of documents daily. The solution significantly improved accuracy, accelerated data extraction, and optimised resource allocation.
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