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AI Real Estate Agent
Client
A large real estate brokerage in Silicon Valley.
Problem
Real estate is the oldest and largest asset class in the world. Residential real estate accounts for more than $500 trillion in global market volume.
However, there are a lot of inefficiencies in the market. The processes & paperwork followed in the lifetime of a transaction live mainly in email and spreadsheets, making data collection difficult and unstructured.
However, there are a lot of inefficiencies in the market. The processes & paperwork followed in the lifetime of a transaction live mainly in email and spreadsheets, making data collection difficult and unstructured.
Solution
We built an AI real estate agent to aid with this. Through conversations with dozens of top agents, we decomposed their tasks into a workflow, with each element being a single defined task with a clear input and output.
Our analysis revealed 75% of tasks in the transaction with market research, project management, and document summarization were automatable given the context about the client’s needs.
Our analysis revealed 75% of tasks in the transaction with market research, project management, and document summarization were automatable given the context about the client’s needs.
Impact
- AI system greatly enhanced lead nurturing with minimal agent effort
- Expanded market research scope while reducing time investment
- Streamlined CRM data entry, improving record-keeping efficiency