The Inefficiencies Holding Real Estate Back
Real estate remains one of the most data-rich industries that makes the fewest data-driven decisions. Property valuations rely on manual comparables. Building operations are managed on spreadsheets. Tenant communications happen via email chains. The PropTech firms that digitise these workflows first will capture the margin gap.
Manual Property Valuation
Traditional valuation relies on surveyor time, comparable research and manual calculation — a process that takes days and introduces subjectivity that ML models trained on transaction data can replace with minutes and consistency.
Opaque Investment Data
Property investment decisions are made with incomplete market data, manual yield calculations and gut feel — when the data to run rental yield models, vacancy forecasting and portfolio optimisation already exists in structured form.
High Tenant Management Cost
Managing maintenance requests, lease renewals, compliance documentation and communications manually across multi-unit properties creates a back-office burden that scales linearly with portfolio size.
Building Energy Waste
Commercial buildings running HVAC, lighting and access systems on fixed schedules waste 20–35% of their energy budget on unnecessary consumption that IoT-driven control systems can eliminate.
