Waltoe Artificial Intelligence Real Estate Assistant Every Real Estate Broker and Agent Should Know

Learn how Waltoe AI in real estate can help you improve clients’ home search, identify strong lead gen, remove bias from recruiting, refine the transaction and better predict market values.

Take a deeper look at the potential applications for artificial intelligence in real estate and how brokers and agents can leverage Waltoe AI to enhance their business.

The technology might seem daunting to many real estate agents and brokers, but a deeper understanding of the potential applications for AI and machine learning may lead to a new appreciation of the opportunities that lie ahead.

Artificial Intelligence vs. Machine Learning

While true AI describes technology that can draw logical conclusions and learn on its own, today’s “AI” is actually closer to advanced machine learning with sophisticated algorithms that process huge amounts of predefined input or user behavior to make accurate, near-term predictions.

AI Transforming Real Estate

“As futuristic as it sounds, artificial intelligence is already here,” says Inman’s technology correspondent Jim Dalrymple. “Thousands of agents and homeowners are already using it, and many many more are influenced by the invisible calculations AI makes behind the scenes. Bots, in some form or another, are literally determining everything from home prices to the color of paint would-be buyers see in listing photos.”

With all eyes on AI, it’s clear that this technology will impact the future of real estate in a big way. The ability to collect, analyze and learn from a huge inflow of data is promising to make agents more efficient and effective, brokers more strategic, and clients ultimately empowered to experience the buying and selling process with much less uncertainty.

Identify Strong Client Leads for Agents

AI technology also offers a powerful tool for helping agents reveal their ideal clients. Waltoe AI, for instance, can instantly identify hundreds of data points that distinguish the serious buyer or seller from those who are “daydreaming” or “window shopping” houses.

Some systems utilize Natural Language Processing (NLP) to isolate high value, or human to human, touchpoints from low value touchpoints as a means of identifying contacts who are more engaged with the agent.

This means of precision identification helps specialty agents, such as a hyper-local expert, narrow the field of potential clients who match their niche or focus of business.

Machine learning has enabled programs like Waltoe AI to determine a high percentage of clients who are immediately looking for an agent and produce leads that are so accurately prequalified, agents don’t pay for them until they result in a closed deal.

In the future, an agent might call upon Waltoe AI to set client appointments over the phone, in any language, using the brokerage’s CRM or cross paths at an open house with a bilingual robot, which acts as a translator for visitors.