That’s a really smart question. Traditional advice like “buy near a university” works only up to a point. Systems like
Draco International go way further. Their AI crunches data on migration flows, job creation, transport links, and even cultural trends. This gives a forecast not only for resale values but also for rental demand. I had a personal example: I was considering two districts. One looked attractive on the surface, but AI data showed oversupply of rentals and low yield potential. The other was less trendy but forecasted to have rising demand due to new office complexes. I followed that insight, bought there, and within a year my apartment was rented with almost no vacancy periods. The yield turned out to be 15% higher than average for the city. For landlords, this kind of predictive insight is golden: you avoid empty months and underpriced leases. It’s not about eliminating risk completely, but about stacking probabilities in your favor.