How Artificial Intelligence (AI) can Revolutionise Real Estate


As the world moves into an age of information, those who can quantify and analyse large sets of data will always have the market edge over their competitors. Developments in technology are changing business models across major industries, and the transformative effect of technologies like artificial intelligence is driving change towards a more immersive and data-driven approach in various aspects of a business. Machine Learning (ML) and Artificial Intelligence (AI) have the power to revolutionise the real estate sector by making it more innovative and accessible to the larger public. As more and more processes become automated such as in-person appraisals, fillings, and closings, customers are seeking out more virtual options and digital solutions as they are hassle-free, provide transparency, and proper record management. Using AI, the real estate industry can acquire large amounts of data, predict market trends, improve home search experience, intensify lead generation, make efficient mortgage lending, and make real-time population analysis and predictions. Pakistan has also taken steps to regularise the technology and formed institutes for training future tech leaders. Therefore, Artificial Intelligence can revolutionise the real estate industry through its diverse field of application, which the Iqbal InstitteĀ 


Research Questions

  1. What is artificial intelligence?
  2. What are the applications of artificial intelligence in real estate development?
  3. How can artificial intelligence revolutionise real estate?
  4. What steps is Pakistan taking to incorporate artificial intelligence in its real estate industry?


Artificial Intelligence

Artificial Intelligence (AI) sounds like a complex term, but it is a remarkably simple process to understand. A digital computer can perform tasks commonly associated with intelligent beings. Computers can be programmed to carry out overly complex tasks such as finding proofs for mathematical theorems and playing chess. Using large sets of data and algorithms, the computer can train itself on certain parameters. Using these parameters to make judgements and predictions in similar cases, the computer can learn from new data sets without human intervention.

By recognising relationships and patterns in large data sets, the effects of possible future scenarios can be examined more closely. Subjective assessments are replaced by actual data and insights, resulting in sound and specific decisions. Modern AI techniques can only be used to automate a single task and are not able to attain a more general intelligence role, such as a human brain. As technology advances, previous benchmarks become outdated, such as recognising text from pictures, which is now considered a normal computer task. The applications for AI are endless and can be applied to a variety of industries and sectors. AI is currently being used in the healthcare industry, self-driving cars, financial fraud detection, and streamline trade and supply chain management. (Investopedia, 2021)


How can Artificial Intelligence Revolutionise Real Estate?

The real estate sector has always been slow in adopting innovations. However, many key players are now starting to realise the importance and potential of artificial intelligence is revolutionising the real estate industry. With the digitisation of services on a massive level, the number of data sources has now exponentially grown. Data on individual profiles and financial rankings are easily available for commercial use. Artificial intelligence (AI) can be trained to gather specific data related to real estate from diverse sources. These large sets of data can later be used to provide prescriptive and predictive analyses of the market which will exponentially increase the decision-making capacity of investors and finance companies associated with real estate.

By integrating the market, every piece of information extracted from any user-generated activity can be tracked and analysed to gain valuable insights. Artificial Intelligence can also be used for smarter real estate management. When it comes to large properties like offices and corporate buildings, underutilisation can take up a sufficient part of the budget. Poorly managed commercial space often leads to employee dissatisfaction. Using sensors and the Internet of Things (IoT) devices, AI can help real estate management professionals in the effective utilisation of office space. Using Wifi and Internet of Things (IoT) devices, data can be analysed and turned into valuable insights. These insights can help managers make better decisions about office spaces. People can ā€˜talkā€™ to spaces using natural language recognition tools, and AI can ultimately better understand the user’s needs.

Searching for a new home is also a difficult task as a lot of different factors have to be taken into consideration before buying a new property. Traditional search engines have very few filters and often leave the buyer with many options to search from. This is where AI-based algorithms come into play. With AI-powered personalisation tools, the userā€™s preferences can be identified, and suggestions made accordingly. Some apps can scan user photos to extract relevant information such as preferred type of floors, colour palettes, and construction materials. The system can also match the preferences with other similar people and create a unique portfolio for the buyer. ā€˜Predicting the future is perhaps the most prominent feature of Artificial Intelligence. The real estate industry is an industry of high stakes and high rewards, and the ability to predict outcomes is extremely useful. AI systems can investigate past data and trends in the market to provide an accurate prediction of the future market trend.

One of the most successful applications of AI has been in property investment. Traditional agents are accustomed to the standard model of evaluating property using covered area size, renovation quality, and other common features. But when it comes to the high-end real estate market, setting the right price often guarantees the success of a transaction. One problem which usually arises in the real estate market is that of lead generation. AI can be used to differentiate between customers with real intentions to buy a property and those who are browsing out of curiosity. Lastly, a big part of the real estate industry is mortgage lending, which is data-driven by definition. Bank statements, credit histories, proof of income, and many other papers are required for getting a shot at lending. Banks use OCR systems to read documents, but the drawback of such systems is that they cannot recognise unstructured documents. This is where AI can come into play and transform the amount of information that can be analysed before making a lending decision.



The real estate sector is complex. The data circulating within the sector is more so. However, this does not mean that the data is not useful or cannot be used effectively to make the sector more sustainable and user-friendly. Data often carries missed opportunities when not interpreted fully or accurately. Business intelligence is, therefore, a vital process that can provide useful insights into future market trends. It also makes the sale and purchase of property easier and provides for a better consumer experience in the mobile app world. Therefore, business intelligence can be used to revolutionise the real estate sector of Pakistan.


  • Muhammad ramzan May 29, 2021 at 1:26 am

    Very useful blog but in this challenging environment a fair data set matters because poor data sets have lead to overestimate or underestimate the the true parameters of some phenomenal story. The second thing for an optimised solution it requires analytical skills, computer programming skills, mathematical, IT skills, business intelligence, resources management skills and some more knowledge about finance management, government law/policy according to board of revenue and in this advanced age it is appealing to utilize these skills at once as a diverse knowledge. Unfortunately the educational institution are very poor in promoting such a knowledge or awareness of learning strategies and doing so they need to assemble such a bunch of knowledge with respect to requisites of education.

  • Muhammad ramzan May 29, 2021 at 2:00 am

    The number of best programmers, savvier, more acquainted/skilled
    more abreast/competent, more conversant/informed, more knowledgeable/seasoned candidates is too least in advanced educating age because of uneducated backgrounds and queer feeling about technology and IT essentials for future planning

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