AI-powered multifamily search is now available for business accounts, allowing buyers, agents, and families to browse and explore options together based on a “wishlist.”
In times like these, double down on your skills, your knowledge and yourself. Beginning August 8th through the 10th he’ll lean into this shift at Inman Connect Las Vegas to learn from the best companies. Get your tickets now for the lowest price.
mosaichas rolled out one of its more creative features as a stand-alone product in its June Technology Review 5-Star Real Estate Experience Solution.
AI-powered multifamily search is the idea that buyers, their friends and family, and agents can explore and explore options together based on a “wish list,” rather than traditional filter-based searches. But now available. Announced June 6th.
In the latter, slight differences such as budget, location, and interior features can hide viable housing options from buyers.
“Mosaic’s search capabilities will improve our agents’ ability to deliver personalized experiences to their clients at scale,” Mosaic CEO Sheila Reddy said in a statement. Reddy also said that searching with this level of personalization could motivate clients to move away from public portals and to work more closely with agents.
Mosaik also added new insights. This is an alert that highlights that users may not be aware that their behavior within the software has changed. In relation to searches, Mosaik alerts buyers and agents when searches tend to stray away from the parameters initially specified, such as location, school district, property type, etc.
Searching with filters is both technically and conceptually outdated, a clinical, guardrail approach to emotional processes. It just runs a database query with static numbers and leaves no room for flexibility.
Agents representing buyers often testify of challenges posed by changing buyer needs while inspecting homes. Mosaik’s search feature can greatly reduce that uncertainty by proactively addressing the emotional component of home hunting. Most buyers will be willing to pay a little more if their backyard is fenced or has a different view. Filtering home searches by highest price fails to account for these fluctuating targets.
Leveraging computer vision, a form of artificial intelligence, and embedded location data, Mosaik tracks wishlist items and property images displayed during searches, and uses that information to send additional offers from partner MLS. get housing. If buyers and their collaborators continue to prefer homes with large trees in their backyards, Mosaic will cycle through the market and suggest similar homes regardless of price, size or location. Users can also directly compare homes by kitchen, master bedroom, or outdoor equipment. This is a “North Star” example of how AI can benefit the industry.
“Personalized digital experiences continue to be prevalent in nearly every consumer-facing industry, and consumer expectations for personalization are increasing by the day,” Mosaic said.
The company cited the following findings: McKinsey It found that companies that excel in personalization generate 40% more revenue, and more than 70% of consumers expect personalization and are frustrated when they don’t get it.
Mosaik’s full offering includes more than just search, including a set of relationship-centric workflow features to ensure agents and clients work together at each stage of the transaction, starting with search. It contains. It offers deal monitoring with templated action item lists, client outreach campaigns, and tour arrangements to help agents track business activity.
Email Craig Lowe
