Using AI in Real Estate Investing | John Schibi

When investing in a multi-family property, it’s important to determine if a deal is better than the one you made as an investor. For instance, if you make assumptions that are not always honored, a deal might not be as good as expected. One of the most critical factors that a real estate investor should consider when it comes to investing is the property’s past performance.

Besides looking at the past six or 12 months, we also look into the trends that have occurred in the market. This helps us determine if the property could perform well in the future. One of the most important factors that an investor should consider when it comes to investing is the accuracy of their assumptions.

Artificial intelligence and machine learning are two of the most commonly used tools in the real estate industry to analyze and evaluate properties. They help us make better decisions when it comes to investing.

Using technology

Machine learning is one of the most commonly used tools in the real estate industry, a type of artificial intelligence that can learn from its prior experience. In contrast to human beings, computers are capable of imitating the behavior of intelligent individuals at a speed that’s faster than what we are capable of.

ML and AI allow us to identify which markets to focus on and which properties to avoid by analyzing past and future performance. The technology will then generate an idea of how it will perform in the market and submarket later in the future on an annual and quarterly basis.

AI software can also be used to assess a property’s potential performance. It can also analyze other market data, such as lease terms and retention rates. With the help of AI, we can additionally predict the market’s future performance by analyzing sales comps, operational forecasts, and lease transaction data. All this helps us look to the future.

AI software can also predict the future performance of properties by analyzing their various aspects, such as tenant patterns, neighborhood forecasting, and predictive maintenance. These tools can help us make informed decisions when it comes to investing.

Using the data created by AI

One of the most important factors we use when assessing a property’s potential performance is the potential rent growth. With the help of AI, we can also predict the future performance of property by analyzing its various aspects, such as tenant patterns, neighborhood forecasting, and predictive maintenance. However, we still maintain a conservative approach to making projections.

The ability to analyze and predict the future performance of a property is very important, as it allows us to make informed decisions when it comes to investing. The data collected by AI and ML technology is more reliable than traditional methods and includes other market and submarket levels.

AI technology is currently being tested to predict the future performance of properties by analyzing its various aspects, such as tenant patterns, neighborhood forecasting, and predictive maintenance. This method can help us maintain a higher occupancy rate and improve our underwriting assumptions.

-

-

About John Schibi

John Schibi is recognized as a forward-thinking business professional. Throughout his impressive career, he has gained extensive experience as a general manager of new and used car dealerships. John’s reputation for success is based on numerous factors, such as his creative marketing campaigns, sustained growth in profitability, and high employee morale. John is a highly regarded manager who delivers clear and concise short- and long-term goals, builds effective teams, and creates incentive programs for his employees to succeed.

John attended Kennesaw State University. He earned a business degree before moving on to his first job as a Sales Manager at Chrysler. John earned multiple promotions due to his exemplary performance and rapidly climbed the ladder of managerial positions at numerous dealerships. During this time, John Schibi learned about automotive sales, inventory management, budget administration, sales predictions, recruiting/hiring employees, evaluating performances, designing marketing campaigns, and generating employee incentive programs.

John has been routinely recognized for his ability to increase profitability in every location he’s assigned. He received the Honda President’s Club Award. He played a significant role in helping the dealership become recognized as a Top 25 Revenue Dealership, achieving a top-3 score in the Customer Satisfaction Index (CSI), as well as being named the second-most lucrative location for seven consecutive years.

In addition to being an outstanding salesman and marketing genius, John is a perpetual student who stays current with the latest technological automotive dealership trends. One piece of software he consistently uses is VAuto’s Stockwave platform, making inventory storage and retrieval practically effortless. Wholesale vehicle acquisition is triggered by real-time updates based on sales speed and the intended length of time for inventory. Stockwave recommends the appropriate inventory levels for each dealership, model by model. General managers like John Schibi save valuable time and money by accessing reliable sources about the car buying industry.

To learn more about John Schibi’s career, visit his website at johnschibi.net.