
In each issue of The Bulletin, we’ll compile a few real estate headlines about real estate technology and innovation, complete with links and quick bullets so you get the gist!
Real estate startup aims to help consumers reimagine rooms
- A startup, Modsy, is seeking to partner with real estate agents and brokers
- Uses 3-D technology to help people envision a new design and furniture layers for rooms that fir their preferences
- Users snap photos of rooms and indicate preferences and then Modsy sends back virtually staged versions of images
- They will also make it easy to users to purchase furniture that appear in the photos
The 5 real estate trends that will shape 2016
- Home sales and prices will see a healthy growth but at a slower pace than 2015
- Millennials will still be a dominant force this year again as well as Gen Xers and older boomers thinking about retirement
- Builders will focus on more affordable prices points
- Higher mortgage rates will affect high-cost markets the most
- Already unaffordable rents will go up more than home prices
CurbCall offers showings-on-demand tool that compares to Uber
- CurbCall has created a technology to help brokers “Uberize” their real estate websites that lets consumers request showings just like hailing an Uber
- Prospective buyers who visit websites that have embedded CurbCall’s showings on demand tool can request instant showings from listing pages on real estate websites
- Differentiates between a contact form but it connects buyers with agents who are nearby and are free to handle showing requests
- Agents have an app just like Uber drivers and can make themselves free or busy and get notified when a buyer wants to view a home near them
Agent-matching technology is now available
- NerdWallet, a finance site, is now helping consumers choose an agent based on how good they are at selling homes, not because of word-of-mouth
- OpenHouse is an agent-matching and listing search service that is partnering with NerdWallet which will link to an agent-matching tool
- They match agents with consumers based on agents’ transaction history sourced from multiple listing services (MLSs), using criteria including price range, school district, and demographics
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