An Automatic Building Condition Analysis and Repair Vendor Matching System to Solve Sudden Facility Breakdowns in Mid-sized Commercial Buildings

This system automatically analyzes a building's repair history and energy usage patterns to predict major facility failures in advance and matches them with verified repair vendors. It reduces the workload of mid-sized building managers and prevents sudden repair costs and tenant dissatisfaction.

Unlike large prime offices, mid-sized commercial buildings lack professional facility management teams and rely on manual records or intuition. Sudden breakdowns of HVAC, elevators, or plumbing cause massive tenant inconvenience and lead to significantly higher costs due to emergency repairs.

With data integration and automation adoption exceeding 90% in the real estate tech market recently, traditional property management is rapidly digitizing. As buildings age and labor costs rise, reducing maintenance costs through proactive prediction is becoming the most urgent and attractive investment for building owners.