The understanding of the current and future supply-demand dynamics and underlying macro-economic factors play a key role in setting out the direction for urban planning, asset management and investment decision making. The integration of Artificial Intelligence (AI) with real estate and financial planning expertise can help support new ways of analysing historic data in an attempt to improve future decisions.
This paper explores the four stages in considering and setting out the integration required for real estate planning and how the machine-learning based tool supports strategic decision-making.
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