How North Labs deployed TradeSmith to automate estimation workflows across a national real estate development portfolio, eliminating bottlenecks and enabling data-driven project planning at scale.
"Estimation is no longer a bottleneck across our portfolio. We can now move at the speed the market demands."
— Director of Project Management, Real Estate Development Company
A major real estate development company managing over 40 active sites nationwide was struggling with estimation accuracy and speed. Each site operated with its own processes, spreadsheets, and tribal knowledge, making it impossible to standardize cost projections or identify patterns across the portfolio.
Project managers spent hours manually compiling estimates from fragmented data sources—historical costs, vendor quotes, labor schedules, and material pricing—leading to inconsistencies and delayed project timelines.
With 40+ concurrent sites, the lack of a unified estimation platform meant every project was essentially starting from scratch—wasting institutional knowledge and compounding inefficiencies across the portfolio.
All active development sites brought onto a single estimation platform with standardized workflows and shared intelligence.
Automated data aggregation and historical pattern matching reduced estimation cycle times from days to hours.
Leadership gained real-time insight into estimation accuracy, cost trends, and project health across the entire portfolio.
North Labs deployed TradeSmith as the estimation intelligence layer across the client's entire portfolio. The platform ingested historical project data, vendor pricing databases, and labor models to create a unified estimation engine that could serve all 40+ sites simultaneously.
The rollout was phased—starting with the highest-volume sites to validate the model, then expanding rapidly as estimation accuracy and speed improvements were confirmed. Custom workflows were built for each project type while maintaining standardized outputs for executive reporting.
The client now operates with a standardized, automated estimation workflow across their entire national portfolio. Site-level teams spend less time compiling data and more time on value-added analysis and decision-making.
The platform continues to learn from each completed project, improving estimation accuracy over time and giving leadership unprecedented visibility into portfolio performance and cost trends.
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