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Real Estate Big Data

Ultra simple shortcut to attract new (or more) real estate investors

(REAL ESTATE BIG DATA) Without having to spend any money, this shortcut can attract more business to boost your bottom line with real estate investors – a win-win for the nation.

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Whether you’re a real estate veteran, or looking to expand your services to the real estate investment world, a wild shortcut has just been launched, and you already have access to it for free if you’re a Realtor.

Realtors Property Resource (owned by the National Association of Realtors (NAR)), rolled out a map layer to unveil the Qualified Opportunity Zones (QOZ) across the nation this year, and it’s a tool we should all be using regularly…

The QOZ program was created in 2017 as part of the Tax Cuts and Jobs Act and is designed to improve local economies (specifically the economically disadvantaged areas) through long-term investments with real estate investors.

There are 8,700 QOZs in America, and real estate investment and development in those areas are rewarded with tax incentives (potentially reducing their tax liability by 10-15%, and appreciation on the investment is tax free if held for at least 10 years).

And now, you can find the investment opportunities in seconds, generate reports for investors, connect with homeowners (via the “Mailing Labels” feature) in those areas, and so much more – the new RPR features combine to create one hell of a shortcut for you. Check it out:

Opportunity Zones

This is “Opportunity Zones” by Realtors Property Resource® on Vimeo, the home for high quality videos and the people who love them.

“With the Opportunity Zone initiative poised to transform American communities that have long been shunned by investors, NAR has developed resources to help facilitate and expedite investments in these areas. As our work continues, REALTORS® are committed to ensuring Americans can take full advantage of this valuable new initiative”, said Joseph Ventrone, NAR Vice President, Federal Policy and Industry Relations.

“These Opportunity Zones encourage private investment into low-income communities, with the intent of stimulating economic growth and job creation,” said Bob Turner, NAR’s 2019 Commercial Liaison and RPR Advisory Council Member. “Residential practitioners will notice homes that fall within Opportunity Zones gain a boost to their marketability because of increased attention, while Commercial practitioners will likely see properties once being skipped over turn into desirable investment opportunities.”

It’s not just a shortcut for practitioners and real estate investors, but meaningful help for underserved areas. Talk about a real win-win.

The American Genius' real estate section is honest, up to the minute real estate industry news crafted for industry practitioners - we cut through the pay-to-play news fluff to bring you what's happening behind closed doors, what's meaningful to your practice, and what to expect in the future. Consider us your competitive advantage.

Real Estate Big Data

Shadowmap shows where the sun and shadows are at any property, any time

(TECHNOLOGY) It seems like such a small detail, but for a client desperate to know where the sun and shadows are for energy efficiency, gardening, or what have you, Shadowmap is your tool for an immediate answer.

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shadowmap

For something that we all experience daily, sunlight can feel oddly personal – especially if you don’t feel like you’re receiving enough of it at the right time in your house. If you’ve been in the market for new data or a tool to help draw in real estate clients – or just appeal to your current ones – Shadowmap may be your saving grace.

Shadowmap, a tool from creators George Molzer and Simon Mulser, is a deceptively simple product with some really cool applications: It allows you to map out solar shadows in any environment using “3D data in a worldwide interactive maps app.”

The base program itself is free for online use, and it’s extremely easy to use. Simply typing in an address will take you to the property in question, at which point you can drag a slider to simulate the passage of time throughout the day.

Shadowmap’s “Pro” subscription comes at around $10 per month (or $100 per year) and allows you to select specific dates (both past and future) as well as view high-definition visuals; you’ll also receive updates as they come.

Adding this to your toolbox could help convince clients who are on the fence about purchasing certain properties, and it makes for a powerful discussion piece when taking on new clients.

Being able to tell someone exactly how the sun will illuminate certain sides of their property after only a few seconds of research is impressive, and it entails information that many consumers will want to hear whether or not it is at the forefront of their minds.

There are plenty of applications for developers and casual designers, too. Product Hunt cites several different users proclaiming their joy at the creation of Shadowbox, from people who are excited at the idea of Feng Sui to relieved developers positing that the tool will make compliance easier to achieve.

Employees who work in the elements are similarly intrigued: “As I work with Wine Imports the use-case for weather-sensitive products such as Rosé are clear,” says Andreas Bøggild.

Of course, the technology is only as accurate as past weather conditions can dictate, but Shadowmap is a welcome alternative to standing in the garden and looking up at the sky for hours to see when the sun will finally hit the living room window.

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Real Estate Big Data

After four months of decreasing home sales, there’s a 1.4% blip upwards

(REAL ESTATE) With massive annual gains and slight monthly gains, existing home sales rise 1.4% in June, but the market remains plagued by tight inventory levels.

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Between May and June, existing home sales (contracts signed) rose 1.4%, after fourth consecutive months of declines and a 22.9% increase from June 2020, per the National Association of Realtors (NAR). The average days on market nationally was only 17 days.

After months (years) of restricted inventory levels, and an entire sector holding their breath for any relief, inventory levels rose 3.3% in June. The market remains blue in the face while holding said breath, but even this slight improvement is a sign of hope.

Meanwhile, the median home price hit $363,300, rising 23.4% over the year, the second highest increase on record since January 1999. All-cash transactions are increasingly common as folks increase their wealth by cashing out of the stock market and/or their housing equity, continuing to nudge out many first-time buyers who rely on traditional mortgage options (despite interest rates remaining historically low).

NAR’s Chief Economist, Dr. Lawrence Yun said, “Supply has modestly improved in recent months due to more housing starts and existing homeowners listing their homes, all of which has resulted in an uptick in sales. Home sales continue to run at a pace above the rate seen before the pandemic.”

Dr. Yun noted that home prices won’t decline with still-tight inventory conditions, but expects price appreciation to slow by year’s end. “Ideally, the costs for a home would rise roughly in line with income growth, which is likely to happen in 2022 as more listings and new construction become available.”

Existing home sales in the Northeast rose 2.8% in June, 3.1% in the Midwest, 1.7% in the West, and remain unchanged in the South.

So what’s next for the housing sector with rising prices and restrictive inventory levels?

“NAR continues our conversations with policymakers and leaders from across the industry in an effort to boost housing inventory and increase access to safe, affordable housing for all Americans,” said NAR President Charlie Oppler. “As the nation’s economy continues to recover from COVID-19, securing policies that are in the best interest of U.S. consumers and homeowners remains NAR’s priority.”

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Real Estate Big Data

5 ways AI is shifting real estate and how to capitalize on it

(REAL ESTATE BIG DATA) Artificial intelligence is bringing a seismic shift to commercial real estate in everything from investing to sales to property management. Hold on!

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Woman working at desk with multiple desktops open to AI tools.

Forget about that location thing. Now real estate – especially commercial real estate – is about data, data, data. As in, Really. Big. Data. And AI is owed a large part of the credit for that.

A dizzying amount of data is being crunched and sorted and searched by artificial intelligence-enabled tools that are changing how deals get done and who will still have a job in the future.

The promise of AI to use data to predict the future is massive – and it promises to do that with more accuracy and efficiency, greater productivity, and less cost for commercial as well as residential real estate.

So, what, exactly, can AI do for commercial real estate? Let’s break it down.

What AI is

To put it simply, artificial intelligence is what lets Amazon’s Alexa talk to you and cars drive themselves. Its algorithms use data to mimic human intelligence, including learning and reasoning. Then there’s machine learning, where algorithms analyze enormous amounts of data to make predictions and assist with decision making. We’re putting them both under the same AI umbrella.

There are four main areas where AI is remaking the commercial real estate industry: development and investing; sales and leasing; marketing; and property management.

Development and investing

With its ability to quickly analyze a staggering amount of data, AI lets investors and developers make better data-driven decisions. More responsive financial modeling helps identify ideal use cases and project ROI under multiple scenarios using real-time data. Pulling in alternative data – say, environmental changes or infrastructure improvements – goes beyond traditional data points and can identify investment opportunities, such as neighborhoods beginning to gentrify. In fact, alternative, hyper-local data has become even more important as COVID-19 continues to upend property valuation models.

AI’s crystal ball comes from recognizing patterns in the data and continuing to learn from new information. It can forecast risk, market fluctuations, property values, demographic trends, occupancy rates and other considerations that can make or break a deal.

And it does all of this more efficiently, more accurately and less expensively than manual methods.

Sales and leasing

There’s a big question looming over AI and automation: Will technology put real estate brokers out of business? The short answer is, “No, but brokers need to step up their tech game.”

Keeping up with – and being open to – tech trends is essential. Clients’ ability to use online marketplaces to search for or list property will only grow, but there still is no substitute for expertise and the personal rapport that builds trust. Chatbots can’t negotiate (yet). Robots can’t show a space and weave details about the property into a story. (If you want to know more about using storytelling in real estate, check out this great marketing guide.)

But Big Data is such a powerful tool that brokers need to know how to harness it for themselves. Having more, and more nuanced, data about clients and properties means brokers can better match the two. They can be more confident in setting sales prices and rental rates. Becoming a “technology strategist” to help clients design an automation strategy for a property would be a great value add to their services. Even just starting out with a website chatbot to answer common questions would add a level of tech-savvy efficiency to communication with clients and prospects.

Marketing

Also a boon of Big Data for brokers: more sophisticated, targeted marketing for themselves, as well as for client properties.

Integrating AI with customer relationship management (CRM) tools brings a richer understanding of clients and prospects that can make choosing marketing channels and personalizing targeted content more precise.

Then there’s data-driven lead scoring. Property intelligence firm Reonomy says its commercial data mine – 52 million properties, 100 million companies, 30 million personal profiles, and 53 million tenants – can be searched in multiple ways to create custom prospect lists. (Check out Forbes.com’s “5 Ways Artificial Intelligence is Transforming CRMs” for a fascinating list of what AI can do, including analyzing conversations for sentiment analysis.)

Property and facility management

The Internet of Things (IoT) is already helping property and facilities managers control and predict energy costs, as well as proactively address maintenance issues. Integrating smart technology like thermostats and sensors with AI also means more efficient space planning. Smart security cameras and wi-fi tracking can create “people heat maps” that can identify underutilized or overcrowded areas.

IBM’s TRIRIGA does that and more. Part of the Watson project, TRIRIGA offers AI-driven insights to show how people are actually using a space and ensure a company has the right amount of space in the right areas. It can also analyze common questions from a chat log, then use that data to create an AI virtual assistant to automatically answer those questions – and update itself as it learns new data. Maintenance requests, room reservations and more can be fully automated.

Strategic space planning has become even more important during the pandemic, as work-from-home trends and safety concerns reshape offices as workers return. (Need ideas for your office? IBM’s Returning to the Workplace guide might be a good place to start.)

Barriers to adoption

There’s no question tech-enabled commercial real estate companies will have a competitive edge. The question is, when will more of them agree enough to adopt AI more widely?

PropTech with and without AI has exploded over the past few years – and that’s part of the problem. In an Altus Group survey, 89% of CRE executives said the PropTech space needs significant consolidation before it can effectively deliver on industry needs; 43% said that is already underway or will occur within 12 months.

Then there’s the undeniable learning curve that comes with any tech tool – an investment of time as well as money. The survey also showed concerns about regulatory requirements for data collection and management, having enough internal capacity, and nonstandard data formats.

Despite those perceived barriers, there’s also no question that innovation and disruption from AI are moving at a dizzying pace – and that commercial real estate needs to keep pace.

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