Overview: Transwestern is a top 10 commercial real estate firm in the United States, known for its comprehensive range of real estate services across various markets. With a commitment to innovation and efficiency, Transwestern sought to leverage AI to streamline internal processes and expand their market research capabilities, particularly in smaller and submarkets that lack dedicated researchers.
Challenge
Transwestern aimed to enhance the efficiency of their research team while increasing their ability to cover smaller markets and submarkets, which traditionally lack dedicated research resources.
Approach
We partnered with Transwestern to identify high ROI projects where AI could have the most significant impact. The first initiative involved developing a tool that integrates AI models with proprietary internal data to generate market reports. We conducted a thorough analysis of their existing processes and used RAG (Retrieval-Augmented Generation) and agentic workflows to build this functionality.
Solution
Our team built an AI-driven tool that streamlines the report generation process, reducing the time required by 50% while allowing researchers to inject their own insights and commentary. This tool not only maintains the quality of the reports but also empowers researchers to efficiently cover more markets, including those without dedicated staff.
Results
50% reduction in time to generate market reports
Expanded research coverage in smaller markets and submarkets
Established a framework for future AI investments and quality tracking
