Editor's note: This brief was summarised by The Property AI Newsroom from a report by The Negotiator. Read the original article for full details.

AI Offers New Ways to Present Local UK Property Market Data

A recent report examines how artificial intelligence (AI) can be used to interpret and present local property market data in the UK. The analysis covers 30 UK cities and considers how AI might improve the way market information is communicated to agents, buyers, sellers, and investors.

The report includes data such as the latest average property prices from HM Land Registry, previous market peaks, comparisons to 2022 prices, recovery since the 2007/08 credit crunch, annual house price growth, and the average annual rate of house price growth since 2005. Traditionally, these measures are used to assess which cities are performing well or lagging behind in the property market.

AI was consulted to explore alternative ways of interpreting and presenting this data. One suggestion from AI was the creation of a Housing Market Maturity Index, which could illustrate that different cities are at various stages of the property market cycle. The report notes that this concept is not yet a formal measure and would require further refinement.

The analysis highlights that within each city, neighbourhoods, streets, and individual properties may be at different stages—booming, growing, maturing, or recovering. The report emphasises that no single index can replace local market knowledge, and that buyers, sellers, and investors should consult local agents before making decisions.

AI is recognised for its potential to make housing market data more visual and easier to understand than traditional spreadsheets. The report suggests that AI can help communicate complex market information more effectively, making it more accessible for property professionals and clients alike. It encourages those in the industry to experiment with AI, as it can generate new ideas and present information in innovative ways.

For city and town property tracking, the report uses data from the Land Registry and Zoopla/Hometrack. Land Registry data is highlighted as useful for analysing how property prices have changed over time, providing context for current price information.