Structured Data Collection: DayOne’s structured data model allows for the collection of comprehensive data during development, including details about FF&E load-in preparations. Users can capture information related to space readiness, equipment specifications, delivery schedules, and installation requirements.
AI-Enhanced Insights: The AI integration within DayOne enhances efficiency by automating logistics processes. For example, when preparing for FF&E load-in, AI can assist in scheduling inspections, ensuring space readiness, and coordinating delivery and installation schedules.
Defined Spaces: “Defined spaces” in DayOne provide a spatial context for logistics pre-punch. Users can navigate through graphical representations of the building and select areas that require pre-punch inspections. This spatial connection ensures that logistics data is aligned with physical locations.