United StatesReal estate2016 – ongoingWelltower
Machine-learning capital allocation platform
Welltower said its data science platform supported over $80 billion of capital allocation activity
Problem
Real estate transactions involved lengthy evaluation processes. Welltower sought to direct capital toward opportunities with stronger risk-adjusted returns.
Approach
Welltower formed its data science platform in 2016. An internal technical team developed machine-learning and deep-learning models for capital allocation. The platform supported investment decisions across acquisitions and other transactions.
Results
Takeaway
Welltower reported faster transactions but did not isolate the platform's effect on investment returns.
Categories
- Industry
- Real estate
- Business function
- Finance, risk and legalStrategy and organization
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Welltower described its existing platform and capital allocation activity while announcing a partnership. It said transaction processes had shortened from months to weeks; Public Storage's planned model deployment had no reported results.
Full details are in the original sources.