Framework for Integrating Digital Twin Technology in the Real Estate Industry (CREST)

The majority of commercial real estate (CRE) Digital Twin (DT) pilots do not progress to production. The core obstacle is not technology, it is the persistent fragmentation of lifecycle data across BIM platforms, building automation systems, IoT networks, and enterprise software. Systems that were never designed to share information cannot simply be integrated by building another platform atop them. This paper introduces CREST, the Commercial Real Estate Smart Twin framework; a seven-tier implementation pathway that links strategic business intent to measurable operational outcomes across the CRE lifecycle. The seven tiers are: Strategic Canvas, Value Streams, Adoption Model, Reference Architecture, Deployment Playbook, Maturity Model, and ROI & Benefits Matrix. CREST draws on foundational DT literature, industrial reference architectures from the Industry IoT Consortium, and learnings from 80+ engagements within global CRE organizations. The framework directly confronts four challenges that repeatedly kill CRE twin programmes: fragmented data across lifecycle stages, reactive maintenance cultures, mounting ESG/CSRD reporting obligations, and post-pandemic space utilization volatility. For each, CREST embeds minimum data requirements, governance protocols, and integration patterns into its deployment playbook and reference architecture. Case evidence shows a 20% drop in delayed projects and a 30% gain in Net Promoter Score, alongside documented reductions in operating cost. CREST’s contribution is deliberately practitioner-facing: a repeatable integration blueprint that reduces delivery risk at both building and portfolio scale.

@article{ijter2026212606048930,
  author = {Shivanand R Koppalkar and Vivek Krishan and Yogesh Gupte and Arunkumar Gunasekaran and Kathiravan Udayakumar and Prachi Kadam},
  title = {Framework for Integrating Digital Twin Technology in the Real Estate Industry (CREST)},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2026},
  volume = {2},
  number = {6},
  pages = {79-107},
  doi =  {10.64823/ijter.2606008},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212606048930/framework-for-integrating-digital-twin-technology-in-the-real-estate-industry-crest},
  abstract = {The majority of commercial real estate (CRE) Digital Twin (DT) pilots do not progress to production. The core obstacle is not technology, it is the persistent fragmentation of lifecycle data across BIM platforms, building automation systems, IoT networks, and enterprise software. Systems that were never designed to share information cannot simply be integrated by building another platform atop them. This paper introduces CREST, the Commercial Real Estate Smart Twin framework; a seven-tier implementation pathway that links strategic business intent to measurable operational outcomes across the CRE lifecycle. The seven tiers are: Strategic Canvas, Value Streams, Adoption Model, Reference Architecture, Deployment Playbook, Maturity Model, and ROI & Benefits Matrix. CREST draws on foundational DT literature, industrial reference architectures from the Industry IoT Consortium, and learnings from 80+ engagements within global CRE organizations. The framework directly confronts four challenges that repeatedly kill CRE twin programmes: fragmented data across lifecycle stages, reactive maintenance cultures, mounting ESG/CSRD reporting obligations, and post-pandemic space utilization volatility. For each, CREST embeds minimum data requirements, governance protocols, and integration patterns into its deployment playbook and reference architecture. Case evidence shows a 20% drop in delayed projects and a 30% gain in Net Promoter Score, alongside documented reductions in operating cost. CREST’s contribution is deliberately practitioner-facing: a repeatable integration blueprint that reduces delivery risk at both building and portfolio scale.},
  keywords = {Digital Twin (DT), Commercial Real Estate (CRE), Building Information Management (BIM), Internet of Things, Facility Management, Maturity Model, CREST framework, Environmental Social and Governance (ESG) Reporting, Sustainability Reporting},
  month = {Jun},
}

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