By supporting more agile condition-based property valuations, AI in real estate enables agents to price homes quickly so they can respond faster to buyers and sellers. For example, a solution like HouseCanary uses sophisticated machine learning to generate valuations so agents and their clients can price homes quickly and competitively.
AI can also be used to help prospective buyers imagine how a property might look with their existing furniture or if they implement their dream renovations. Solutions like Foxy AI provide instant, reliable renovation estimates, powered by AI. Combining these services with video collaboration and conferencing solutions expands the number of potential buyers (and family and friends) who can join in on home walkthroughs.
Rather than a buyer scroll through hundreds of listings, AI in real estate software solutions like Redfin and Trulia can learn what shoppers are looking for beyond the number of bedrooms or locations. By analyzing shoppers' preferences, such as which photos they like or houses they favorited, the software then begins to find other listings that could be a good match.