NEXT-GEN ROOFING SOLUTIONS: SMART ASSEMBLY RECOMMENDER FOR ROOFNAV IN COMMERCIAL PROJECTS

Commercial roofing is going through a sea change enabled by data analytics, artificial intelligence (AI) and decision support systems.Developed by FM Approvals, the powerful RoofNav is a comprehensive yet user-friendly tool enabling you to design class 1-90 code compliant roofing systems.However, the manual method in RoofNav is complicated and time-consuming.In this paper the Smart Assembly Recommender (SAR) is introduced as a new AI-enabled system that is an extension of the RoofNav platform for commercial roofing specification.The key goal of SAR is the simplification of selecting assemblies, a process that results in code-compliant designs and a contract bid faster than ever by delivering intelligent recommendations directly within industrystandard workflows.Great Expectations was built with three deployment options: a browser-based notebook interface, a BIM plugin for Autodesk Revit and a RESTful API for enterprise integration.Quantitative assessments indicate that the browser interface reduced the design time by around 30%, and the Revit plugin increased the design accuracy by 25% by performing automatic compliance checks.The RESTful API was enterprise-ready and provided an average response time as low as 150 milliseconds for high concurrent usage.Underneath it all, the machine-learning engine trained on Sukruthi Reddy Sangannagari https://iaeme.com/

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Published
2025-06-19
DOI
https://doi.org/10.34218/ijit_06_01_006
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

NEXT-GEN ROOFING SOLUTIONS: SMART ASSEMBLY RECOMMENDER FOR ROOFNAV IN COMMERCIAL PROJECTS

Sukruthi Reddy Sangannagari
Manufacturing Process and Optimization
article

NEXT-GEN ROOFING SOLUTIONS: SMART ASSEMBLY RECOMMENDER FOR ROOFNAV IN COMMERCIAL PROJECTS

Sukruthi Reddy Sangannagari
article en

Abstract

Commercial roofing is going through a sea change enabled by data analytics, artificial intelligence (AI) and decision support systems.Developed by FM Approvals, the powerful RoofNav is a comprehensive yet user-friendly tool enabling you to design class 1-90 code compliant roofing systems.However, the manual method in RoofNav is complicated and time-consuming.In this paper the Smart Assembly Recommender (SAR) is introduced as a new AI-enabled system that is an extension of the RoofNav platform for commercial roofing specification.The key goal of SAR is the simplification of selecting assemblies, a process that results in code-compliant designs and a contract bid faster than ever by delivering intelligent recommendations directly within industrystandard workflows.Great Expectations was built with three deployment options: a browser-based notebook interface, a BIM plugin for Autodesk Revit and a RESTful API for enterprise integration.Quantitative assessments indicate that the browser interface reduced the design time by around 30%, and the Revit plugin increased the design accuracy by 25% by performing automatic compliance checks.The RESTful API was enterprise-ready and provided an average response time as low as 150 milliseconds for high concurrent usage.Underneath it all, the machine-learning engine trained on Sukruthi Reddy Sangannagari https://iaeme.com/

Vol. 6(1)
H.B. Fuller (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Manufacturing Process and Optimization
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NEXT-GEN ROOFING SOLUTIONS: SMART ASSEMBLY RECOMMENDER FOR ROOFNAV IN COMMERCIAL PROJECTS — Sukruthi Reddy Sangannagari · (2025) | TGRS Research Map | TGRS