Property management can sometimes feel like an exercise in firefighting. A light bulb blows, a tenant contacts you about a problem, energy bills jump unexpectedly, or a piece of equipment starts acting up. Tackling these problems individually can mean property professionals are spending too much time putting out fires and not enough time analysing the broader trends.
At the same time, properties are producing more data than ever before. Building systems can monitor how much energy is used and when a building is occupied. Tenants can create requests on digital portals, and maintenance management systems can log every repair and service request. The challenge for property managers has been utilising all that data and having those different systems talk to each other.
But technology is starting to help with that. Property technology ranging from real estate artificial intelligence to predictive maintenance software, connected building systems and smarter tenant engagement platforms are giving property professionals new opportunities to understand what’s going on in their buildings and respond.
Instead of simply reacting to problems, the future of real estate could move toward more intelligent building management.
AI is changing the way real estate works
Real estate AI is changing how property professionals analyse information, communicate with clients and make decisions. Property professionals have traditionally analysed information, communicated with clients and others, and made decisions largely without machine assistance.
Now they have tools that can automate much of the legwork. Instead of relying on manual research and past experience, real estate agents, investors and property managers can feed large amounts of market data into AI programs to uncover insights and identify patterns.
AI can help with property valuations and market research, forecasting rental and sales demand, and spotting opportunities that might be difficult for an individual to recognise. AI can also speed up daily tasks.
Property descriptions can be summarised and adapted for different types of buyers. Marketing content can be generated quickly. AI chatbots can automatically respond to frequently asked questions from potential buyers, tenants, and property owners.
Property managers can use AI to sort through enquiries, pinpoint frequent maintenance problems, and automate other routine communication tasks. This allows them to spend more time on services that require a human touch.
With more advanced AI, these benefits could grow exponentially. Instead of only assisting with individual tasks, AI could help give property professionals a better understanding of their market by consolidating information about properties, market conditions, tenants, and macroeconomic trends.
Buildings that can think for themselves
Smart buildings are quickly becoming more intuitive. Connected systems have the ability to sense what’s going on all over a property and react to it. Sensors can detect temperature levels, lighting, occupancy and energy consumption.
Automated systems can change settings to account for room usage. Anyone tasked with managing a property in London can use these tools to help watch over a building without being present in every room at all times.
Not only will these tools make life easier for property managers, but they can also allow property managers to see how their property is doing at any given moment. This can help pinpoint irregularities, inefficiencies or maintenance issues before they become bigger problems.
Lighting, heating and cooling can all be automated to react to how many people are on the property. Smart security systems can control who has access to what, limiting traffic to sensitive areas.
The long-term benefit of connected building systems is how they integrate. Rather than managing maintenance, energy usage, security and who’s in the building independently from one another, property managers can pull from one system that monitors everything.
As technology improves, this will allow property professionals to have more data at their fingertips and open up new ways to manage buildings efficiently.
Predictive technology is changing property maintenance
Property maintenance has often been run as a reaction to events. Something breaks, a tenant raises a repair or eventually an issue is picked up by the property team. Predictive technology looks at things differently.
With access to data from devices connected across a building, technology can spot changes to the way a building is operating which may be a sign of something else about to go wrong before it becomes a visible fault. Property teams can use predictive analytics to anticipate and solve issues, rather than constantly responding to problems after they occur.
Sensors can assess the performance of equipment like lifts, HVAC systems, pumps and electrical systems picking up on changes to temperature, vibration, power usage or general performance. If things start trending outside of their normal operating ranges they can notify property teams that an inspection may be required.
Not only can this discover potential faults before they become serious (saving time and inconvenience), but it also prevents the unnecessary cost of larger problems down the line should something fail completely. Because predictive maintenance allows teams to focus on the areas of their buildings that are causing alerts, they can use their time more efficiently instead of servicing every job on a set schedule.
Instead, teams can prioritise based on which equipment is displaying symptoms of wear and tear. As property teams start to build up more datasets about their buildings, predictive systems will become even more powerful in understanding how buildings operate over time and move from maintenance running in reactive mode to one that can anticipate what a property might need next.
Data is becoming one of property’s most valuable assets
Modern properties are now information-heavy. Building systems can monitor energy usage and occupancy schedules. Maintenance platforms create service request histories. Meanwhile, property teams are gathering intelligence from tenant communication, market studies and competitive research. While each of these datasets has utility on its own, consolidating them can help uncover trends that might be difficult to spot when information is siloed.
With data analytics, property professionals can analyse trends related to occupancy, operating expenses, maintenance and tenant behaviour to gain greater insight into how their property is operating. By analysing this information, teams can identify cost inefficiencies, predict shifts in demand or recognise opportunities to optimise how a building is run. The goal isn’t simply to collect more information, but to transform your data to drive results.
Property technology is only going to continue producing more data as it becomes more interconnected. One of the biggest challenges property owners and managers will face is making that data actionable. When harnessed properly, information can paint a better picture of what’s going on throughout your property and enable teams to make decisions that are driven by data rather than assumption.
Technology is reshaping the tenant experience
Advances in technology are also shaping tenant expectations of the properties they live and work in. Connected access systems can grant entry through mobile devices or digital keys, while property apps can act as a one-stop shop for announcements, requests and essential information. These small conveniences can add up to make day-to-day interactions with your property much smoother.
Communication is another area being streamlined thanks to technology. Reporting maintenance issues or hearing back about requests no longer has to involve long, convoluted processes.
Property managers can use automated service requests to route messages to the appropriate team, and tenants can be notified of relevant updates such as maintenance notifications or building access. Residents can enjoy a more responsive experience, and property managers can have an easier time tracking requests and identifying problem areas.
Tenant experience can become even more streamlined as technology continues to adapt to personal needs. Whether it’s customising a building’s settings to better suit an individual or providing specific services and updates, connected features can help your property respond to its occupants. Smarter property technology can make buildings more efficient, but it can also make them simpler to operate.
What does the future of property management look like?
Smart buildings of the future won’t necessarily just have automated light switches or notify someone when something needs maintenance. The real change will occur in how these technologies are combining information, automation and intelligence to give property professionals better visibility across their buildings.
AI, predictive analytics, IoT-enabled building systems and using data more effectively can all allow property teams to be more informed in their decision-making, react to issues sooner and provide better outcomes for tenants.
Property professionals’ roles are likely to become less about tasks and more about utilising the right information to make smart decisions. Rather than defining a smart building by how many technologies it has installed, it will be defined by how those technologies are used.
Success will come from smarter buildings and the people who understand how to leverage them.
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