How Artificial Intelligence is outperforming humans at real estate investment

AI outperforms humans in real estate

Elisabeth Kohlbach, CEO and co-founder of Skwire, informs us of how AI is transforming the real estate investment sector.

The worry caused by the coronavirus pandemic has understandably posed a challenge to the real estate sector across the UK – not least for investors, who are facing an uncertain immediate future for their portfolios and potential investment opportunities.

However, whilst Covid-19 will of course present challenges in the weeks and months ahead, new developments in technology relevant to residential property will still enable investment opportunities to be identified in the medium-to-long term.

In particular, powerful recent advances in Artificial Intelligence have improved the ability of investors to pinpoint high-yield investment targets. Moreover, AI can also uncover patterns too subtle or counter-intuitive for human analysts to notice.

It’s worth taking a closer look at both these areas to understand just how much AI is transforming real estate investment.

Identifying potential real estate investment targets

AI-enabled systems can now process huge amounts of data that no human being could trawl through manually. Whereas in the past an investor looking for a decent return would have had to rely on an army of local agents and/or analysts, thanks to AI-powered algorithms it is now possible to pinpoint high-yield investment targets with much greater speed and accuracy.

, , Next Level Trading with ForexTB, the premier platform for CFD Trading!

For example, at Skwire we use AI to evaluate the revenue potential of every single property coming onto the UK market, processing the entire country’s worth of available properties in real time to identify a list of the most promising investment opportunities. This shortlist can then be subject to further (manual) investigation and review.

Read More: Lavanda: How is technology democratising the short term rental industry?

It is this approach which enables investors to identify opportunities that will outperform the market. Indeed, using AI we have been able to process hyper-local data from a variety of sources – from hyperlocal geospatial inputs the rental price premium for a garden versus a balcony in a specific street, to geospatial inputs, to demographic shifts.

And what is truly transformational is that these AI-enabled systems do not need a property expert telling them what trends to focus on. Instead, the algorithmic method of clustering properties by similarity unearths patterns that investors may not even have thought of.

The hidden detail

Of course, experienced real estate investors know that there are particular factors, such as a large infrastructure project being greenlight for an area, that will increase capital growth potential. A second pattern investors are looking out for is smaller-scale neighbourhood regeneration driven by ‘organic’ demographic shifts rather than by planned large-scale public investment schemes. Take an independent coffee shop replacing a chicken shop as a classic signal of a neighbourhood on the up.

However, by the time the traditional investor notices the coffee shop on the high street, an AI-powered decision maker will already have made their move. To be precise, the AI would have spotted leading indicators, subtler signals such as demographic changes reaching a tipping point, which materialise before any physical changes on the high street appear.

Indeed, at Skwire we have used AI to uncover incredibly localised or even counterintuitive patterns that help assess the potential of an asset. For example, our algorithms identified where an (expected) slight rental yield premium for Liverpool waterfront flats over all turned into a surprising penalty along a short stretch.

It is by being able to process this level of granular detail that investors are able to de-risk investments and identify opportunities others have overlooked.

But without using AI, trying to identify these subtle yield-driving signals is not only time-consuming and resource-intensive, it also means that investors are already behind the curve. Looking out for signals like these means they are not catching an opportunity on the up, but chasing a trend that is already well underway – and priced in – by the time they have identified it.

With all of this it is clear that the power of Artificial Intelligence is already having a demonstrable impact on real estate investment. For many investors, it is not a matter of whether they will embrace AI, but when.

real estate investment, News, How Artificial Intelligence is outperforming humans at real estate investment

Elisabeth Kohlbach

CEO of tech-first real estate investment company Skwire.

AI used to prevent litterbugs

John Gale • 03rd March 2021

A new AI based camera scheme is set to catch motorists in the act who dispose of litter from their windows, landing them with hefty fines.

IDC Forecasts Improved Growth for Global AI Market

John Gale • 02nd March 2021

Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services, is estimated to grow 16.4% year over year in 2021 to $327.5 billion, according to the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker.

Vimcar saves SMEs 141 years in time!

John Gale • 26th February 2021

Vimcar, the fleet management software for small and medium-sized companies, has reached a significant milestone in its company growth – connecting its 100,000th company vehicle.

What is Happening in Your Back Office?

John Gale • 26th February 2021

Consumers may not realise this, but many of the most important tasks required to provide a great customer experience (such as processing claims, solving disputes, or issuing refunds) are completed by people – specifically, by a team of associates in the back office.