In today's business environment, office space is not just a physical location—it is a critical asset that directly impacts operational efficiency, employee well-being, and corporate costs. Traditional, experience-based space management approaches are gradually being replaced by real-time, data-driven models powered by the Internet of Things (IoT).

Core Insight: Dual Optimization of Cost and Efficiency

By deploying sensors in workstations, meeting rooms, and collaboration zones—such as PIR infrared sensors and CMOS occupancy sensors—IoT technology can capture space occupancy data at millisecond speed. This enables businesses to:

1. Accurately identify underutilized resources: Gain real-time visibility into the actual usage status of workstations and meeting rooms, making previously invisible resource waste (according to statistics, over 30% of annual rent may be wasted on unused space) visible and data-driven.

2. Achieve dynamic energy savings: The system can automatically control lighting, HVAC, and other equipment. For example, when sensors detect an unoccupied workstation, lights and air conditioning in that area can be automatically turned off, effectively reducing energy consumption—with some case studies showing reductions of up to 30%.

3. Optimize space planning: Based on historical and real-time data, businesses can scientifically plan space layouts—such as clustering departments that frequently collaborate or dynamically adjusting workstations based on project needs—improving work efficiency by 15%–20%.

From Management Tool to Decision Support

The value of smart space occupancy solutions extends beyond "seeing" to "forecasting" and "decision-making." Through data analytics such as heatmaps and trend prediction reports, management can obtain scientific decision-making support for new office site selection, space expansion or reduction, and cost-benefit analysis—truly enabling a transition from "experience-driven" to "data-driven" operations.