Have you heard about Zipsmart AI? Are you a real estate agent and want to make the best Real estate decisions using this Zipsmart AI/ Continue reading to find out more details on Zipsmart AI.
What is Zipsmart AI
Zipsmart AI is an artificial intelligence that helps users make smart real estate decisions. It tells you Where to get a property, When to get it and how much it is. The Zipsmart AI is driven by forecasts, and analytics.
The Zipsmart AI helps sellers know how well their Zip code can weather the storm, the best time to sell and also helps sellers plan better. It helps buyers stay one step ahead of the market, and also help them plan their next purchase.
The Zipsmart AI also helps investors identify good neighborhoods and for renters it allows them know when to renew their leases.
Features Of Zipsmart AI
- It analyzes tons of data to predict changes in property values and help you understand when to buy and sell.
- You can use the data to know when and where to invest in real estate.
- Offers access to macro and micro real estate trends in 48 states, 3000+ counties, and 40,000+ zip codes with a 5-month price forecast and interactive maps
- You can predict when your rent might increase and which locations might have better prices.
Pricing
Zipsmart AI costs $99 for six months of use that is a total of $198 per year or $17 per month. At the time of writing, ZipSmart is offering a 30-day free trial for new users. The Zip Code Analysis plan provides access to a range of features, including analysis of over 40,000 zip codes, 3000+ counties, and 48 states. It also offers insights into crime rates, listing price month-over-month percentages, and access to the YouTube community. The plan includes a 12-month price history and a 5-month forecast, as well as an interactive forecast map and data on supply and demand, rent trends, price-to-income ratio, unemployment rate, qualification percentage, higher education percentage, and rate cut predictions.
Conclusion
Zipsmart AI uses a unique algorithm to gather and evaluate real estate information from approximately 25 different sources, such as MLS and search engines like Google. The platform can predict roughly 72% of all its listings with a high degree of accuracy.
