We collect data related to our portfolio of over 2,500 properties, which allows us key advantages in selecting investment locations, products, price points and partners for our properties, as well as insights into our potential competition, anticipated costs and other metrics. Our data science team, led by doctorate-level statisticians and mathematicians is focused on building and refining proprietary statistical models and algorithms to project financial performance, predict lease-up and occupancy trends, identify specific locations by product type and assess targeted supply-demand dynamics. Using the data science platform, the data science team prepares a report as a typical initial step in our underwriting process for evaluating virtually every potential seniors housing investment opportunity. This report is then reviewed by our investment committee when evaluating such opportunities.
As our properties continuously produce new data and we acquire more properties, the data science platform scales and becomes more precise in its predictive analytics and has enabled us to conduct broad and deep analysis across our focus markets. These predictive tools inform the platform’s supply/demand analysis, location analytics, comparative and predictive modeling, investment and capital expenditure analytics and revenue and asset management capabilities by allowing quick insights regarding demand, prospective consumer and depth of the local labor market, as well as improved risk assessment and increased comfort in our underwriting process as markets evolve.
We are integrating AI into our data science platform to assist in analyzing and extracting more insights from our internal documents. Additionally, we have created internal generative AI chatbots, using our proprietary information to interact with and answer queries by our employees about our human resources and other relevant policies and other internal-facing matters.
In addition to supporting investment selection and underwriting, we use standardized data, technology and operating practices to support execution across our seniors housing operating partner network in our end-to-end operating platform, WBS. WBS is intended to support our operating partners through process standardization, shared services and data and technology enablement, centralizing certain repeatable activities that can be performed more efficiently at scale. WBS provides site-level teams with standardized data and operational insights to support day-to-day decision-making and improve the resident and employee experience. Implementation is phased and conducted in collaboration with our operating partners, and we monitor adoption and effectiveness through standardized KPIs and reporting routines.