Case Study

AI/ML Solution for Enhanced Real Estate Project Management: A Case Study

HyScaler's AI/ML Solution for Enhanced Real Estate Project Management: A Case Study


Real Estate


AI/ML Solution


AWS Rekognition, Google Vision


Managing real estate projects involves a myriad of complex tasks. To simplify this process, HyScaler has leveraged the power of Artificial Intelligence (AI) and Machine Learning (ML) to build a comprehensive solution. This system is designed to manage project plans, handle Bill of Materials (BoM), track material consumption, and monitor work progress effectively.

Problem Background

Many real estate developers and construction firms face significant challenges in managing their projects. They relied on traditional methods that were time-consuming, prone to errors, and lacked transparency. The manual handling of project plans, BoM, material tracking, and work progress often led to project delays and cost overruns. Furthermore, valuable data generated during the projects was underutilized due to the lack of tools to extract meaningful insights. These outdated methods also impeded real-time collaboration between different stakeholders, resulting in miscommunications and further inefficiencies. The inability to accurately forecast material requirements or track real-time progress compounded these issues. This scenario emphasized the need for a more efficient, digital solution to revolutionize the construction and real estate sectors.

HyScaler developed an AI/ML solution to tackle these issues

  1. Uploading and Tagging Plans: HyScaler used advanced tools such as AWS Rekognition and Google Vision to digitize and tag architectural and construction plans. This feature used image and object recognition capabilities to identify and tag different elements within the plans, enhancing searchability and efficiency. Automated alerts were set up to notify when discrepancies were found, ensuring consistent data integrity.
  2. Managing BoM and Material Consumption: HyScaler’s solution utilized AI to streamline the management of BoM and material consumption. Machine learning algorithms were employed to predict material requirements, oversee inventory, and monitor the utilization of materials during the construction process. Additionally, the system provided timely alerts for restocking, avoiding potential project halts
  3. Work Progress Tracking: HyScaler integrated its solution with IoT devices at the construction sites. This allowed real-time tracking of work progress, enabling project managers to identify bottlenecks swiftly and take necessary corrective actions. The system also generated reports, providing a holistic view of project milestones and areas of concern.

Advantages of AI/ML Solutions in Real Estate

  1. Efficient Plan Management: With tools like AWS Rekognition and Google Vision, real estate professionals can digitize and tag architectural and construction plans. This ensures enhanced searchability and overall efficiency.
  2. Optimized Material Management: AI-driven systems streamline the Bill of Materials (BoM) and material consumption. Through machine learning predictions, it’s easier to forecast material requirements, monitor inventory, and oversee material utilization during construction.
  3. Real-time Work Progress: Integrating IoT devices at construction sites enables live tracking of work progress. This swift identification of potential bottlenecks ensures timely corrective actions, reducing project delays.
  4. Data-driven decision-making: The AI/ML solutions don’t just facilitate operations; they capture valuable data. This data, when analyzed, provides meaningful insights that can guide future project planning and enhance decision-making processes.
  5. Cost Efficiency: Automation and precise material management mean reduced wastage. By proactively identifying issues and streamlining processes, AI/ML solutions can lead to significant cost savings in the long run.

By integrating AI/ML solutions in real estate, developers and construction firms stand to benefit from enhanced efficiency, cost savings, and more informed decision-making.


Clients who integrated the HyScaler AI/ML methodology into their operations reported significant and measurable enhancements in their real estate project undertakings.

  1. Through digital annotation and meticulous categorization of designs, accessing and referencing plans became remarkably quicker, leading to a notable boost in task efficiency and productivity.
  2. Utilizing AI in managing BoM and gauging material consumption substantially reduced waste and optimized inventory processes, ensuring materials were consistently available when needed, enhancing the overall project flow.
  3. The state-of-the-art real-time monitoring tools not only facilitated immediate bottleneck identification but also ensured a more streamlined time and budget allocation for projects.
    Furthermore, this innovative solution enabled deeper and more structured data analytics, presenting key insights and intelligence crucial for informed decision-making and forward-thinking project planning.


The AI/ML solution introduced by HyScaler represents a monumental shift in real estate project management. Not only does this innovation seamlessly blend cutting-edge technologies like AWS Rekognition and Google Vision for precise plan tagging, but it also harnesses AI’s capabilities for meticulous management of the Bill of Materials (BoM) and real-time work progress tracking. The era where traditional management methods dominated real estate projects seems to be waning, with HyScaler’s avant-garde approach filling the void.

A testament to its efficacy, numerous prestigious clients have embraced HyScaler’s solution, reaping the rewards of streamlined processes, reduced overheads, and enhanced accuracy. The outcomes speak for themselves – projects are completed faster, discrepancies are caught and rectified earlier, and stakeholders are more informed and empowered in their decision-making.


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