NeonBrand/Unsplash |
Today, real estate tech plays a big part in delivering efficiencies as well as creating the services and experiences property users want.
And in that journey to serve consumers better, key areas of focus for real estate companies are; increasingly embracing construction technology, digitizing workflows and boosting their data analytics capabilities.
A Silent Deployment
While all that glitzy stuff is what we see on the surface, AI brandishing proptech is slowly taking over the commercial real estate (CRE) subdomain.
What's The Advantage: Often times, tech transformation initiatives start with platforms that automate one or two aspect of the operation, resulting in spot solutions. On the other hand, fully integrated systems powered by machine learning extract maximum value for commercial asset managers by capturing, centralizing and analysing portfolio-wide data effortlessly and accurately.Hang On A Sec... What?
Too strong? Let us water it down for you with a few relatable instances:
🚰 Asset managers are evaluating their pipelines and matching deals with investors, tying capital calls to investment data and generating decision worthy reports.
🚰 Retail real estate owners and investors, meanwhile, are merging property-level operational data with sales data from in-store sensors, social media and per sq. ft. sales, then using machine learning algorithms to spew out critical to-dos in the investment lifecycle - from deal sourcing to portfolio management and risk management.
In One Sip