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 Technology is Raising the Bar on CRE Brokers’ Efficiency

October 24, 2024 5 mins

This is part three of a five-part blog series created by LightBox as part of its Data and Technology Program partnership with CREW Network. Given its broad breadth across key segments of CRE, LightBox is in a unique position to report on the technology trends taking root and how today’s CRE professionals are responding to them. These five trends are reshaping the landscape of our industry and unlocking myriad avenues for professionals to be more efficient, make smarter decisions, and reduce redundancy in their day-to-day operations.

Fighting off the reputation for not being tech-savvy, CRE brokers are eagerly embracing AI to enhance efficiency and market intelligence in myriad ways. From automating marketing materials to predicting property values, AI and other advanced technologies are enabling brokers to carve out a strategic edge. Early adopters of AI applications in the broker segment report that the potential efficiency benefits have been significant, freeing up resources to focus more on core tasks—building relationships and closing deals.

AI’s Role in Enhancing Broker Efficiency

AI is becoming indispensable in CRE brokerage for tasks ranging from client outreach to market analysis. Today’s brokers are leveraging AI tools to streamline lead generation, automate repetitive tasks, and even predict market trends based on vast datasets.

In the past, brokers would rely heavily on previous work to create offering memorandums, leading to a joke about “who wrote the first one?” AI changes this by enabling brokers to quickly update and enhance property narratives, drawing on a wealth of data to create fresh, compelling content. Instead of starting from scratch, brokers can now streamline the creation of sophisticated marketing materials by leveraging technology platforms like LightBox RCM. For example, RCM enables brokers to manage and market their deals more efficiently by generating executive summary landing pages in a fraction of the time and uploading offering memorandums and due diligence into a Virtual Deal Room (VDR); ultimately providing brokers the best platform to bring their investment sales to market faster.

According to General Manager of Capital Markets at LightBox, Tina Lichens, “Brokers and investors are leveraging AI not only to streamline tasks like generating marketing materials and property summaries but also to gain deeper insights into market trends, automate data analysis, and optimize investment strategies.” By integrating AI, professionals are shifting from routine tasks to more strategic, value-driven decision-making, giving them a competitive edge in an increasingly data-heavy industry.

AI-Powered Predictive Analytics

AI is also transforming the power of market analysis by offering avenues into more comprehensive insights about property values and trends. Given how volatile today’s market is—and how quickly it is changing—it is powerful to have algorithms that have the capability to analyze traditional market data and incorporate non-traditional sources like social media or local economic indicators in real-time. With the click of a mouse, brokers can leverage AI tools that can forecast property values, identify emerging investment trends, expand the scope of property data to provide broader and deeper market intelligence and improving estimates of future property values. These predictive capabilities, thanks to large language models (LLM) like ChatGPT, lead CRE brokers to morepredictive analytics that more accurately determinewhere capital is moving and identify emerginginvestment trends.

AI is particularly valuable when it comes to estimating future property performance. Using the technology, brokers can identify which neighborhoods are trending, predict market shifts, and pinpoint where capital is moving. These insights are driving more data-driven decisions that better align with investor goals.

Automating Document Analysis

For CRE brokers, reviewing contracts and legal documents can be time-consuming and error prone. AI is automating these tasks by identifying key terms and clauses within contracts, helping brokers quickly flag potential issues. This not only speeds up the review process but also ensures that nothing critical is overlooked. This practical application of AI allows brokers to move through due diligence more efficiently and close deals faster.

Buyer Matching and Lead Scoring

Personalized outreach is essential in today’s competitive market. “The next frontier, which several clients are already exploring,” Lichens observed “involves lead scoring to prioritize the most likely investors for specific opportunities, prioritizing the most promising leads for follow-up. Lichens noted that the RCM LightBox platform “has been matching buyers to opportunities for years, but integrating AI improves these matching algorithms to better target potential buyers.”

AI and Property Management: Predicting Equipment Failures

AI is not just improving sales processes; it is also making a difference in property management. For example, landlord brokers working closely with property managers can benefit from AI’s ability to predict equipment failures in commercial buildings. This predictive capability reduces downtime and maintenance costs, which is increasingly important in managing tenant satisfaction and property value. By anticipating maintenance needs, brokers can offer more comprehensive property assessments, adding value for their clients.

Balancing AI with Human Intelligence

AI is fundamentally changing how CRE brokers operate, from automating routine tasks to enhancing market insights. As the technology evolves, brokers who harness its potential will gain a competitive edge, offering their clients greater value and deeper intelligence.

However, as powerful as AI is, the human element remains crucial in CRE transactions. Brokers’ expertise in building relationships, navigating complex negotiations, and applying emotional intelligence continues to set top performers apart. AI augments these skills, but it does not replace them. Lichens added, “The most successful brokers will be those who strike the right balance between leveraging technology and maintaining strong personal connections with clients.”

Up next in this series is a deep dive into how technology has allowed for the evolution of climate risk data to minimize financial risk. Follow this page for in-depth analysis of how these technology trends are influencing the future of CRE, including our previous blog in this series about how AI is reshaping traditional appraisals.

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