Case study

    AI & Big Data software development for real estate tech company

    Industry: Real Estate
    Location: Belgium
    Number of employees: 11-50
    Technologies: CP cloud, Python, Go, Airflow, Terraform, GitHub Actions

    The background

    MARCH is a property technology (“prop-tech”) start-up that interrupts the classic real estate model by enforcing the human factor with transparency and technology. They help from the initial search up to the relocation of a business. They look at a company’s profile, understand its real estate needs and then match the company with the best location.

    MARCH uses artificial intelligence to detect patterns in the current locations of companies and uses these patterns to predict with algorithms which user would be best in a certain location. In this way, potential users will be contacted in a personal way. As a result, renting or selling commercial real estate will be easier and more efficient.

    In addition, there are critical moments for real estate professionals, owners, and developers that MARCH offers help with. They include the following:

    • During active prospecting of spaces that can be developed or re-developed

    • When renting an already-developed property

    • When selling an integrally let property to its final owner

    • During the purchase of a property

    The challenge

    The company needed various tools and apps to make MARCH’s work more efficient.

    • An internal tool that would use predictive machine learning algorithms to help the company match the supply of commercial real estate and demand.
    • A Web application that efficiently consumed Open Geo Data and CRM data.
    • A user interface capable of real-time filtering of big geodata sets.
    • A matching engine suggested organizations that needed a property.

    Strategic partnership

    At Nortal, we provided the client with one expert full stack developer with the right skills and experience to build their AI tool and other applications. Being only a team of one from Nortal side, it fitted their budget, and they could get value for their money.

    Our primary mode of communication with MARCH was via virtual meetings where they explicitly described priorities they would like us to focus on.

    We ensured our communication was open and efficient and our delivery was timely. There were changes and necessary adjustments, but we ensured we factored them into the project for a successful outcome.

    The results

    As a result of working with us, MARCH now has a functioning AI that can:

    • Match the demand for commercial real estate to the supply. The demand includes businesses or organizations needing space or property; our tool can identify them.

    • The AI tool also recommends specific proactive emails to the identified organizations. MARCH had the opportunity to test the product in time, and the conversion ratios of the proactive emails our AI recommended surpassed the market standards.

    Other successful results in the project include:

    • An easy-to-use web application for their Open Geo Data and CRM data

    • A clean and easy-to-understand user interface that allows one to filter geo data sets in real-time

    Overall, we helped to deliver a tool that needed no improvements and could be used immediately. Our service was up to client’s expectations, and MARCH noted no areas we fell short of their expectations.

    Inez Van Laer
    Tech Lead of March comments
     

    “Their expertise in existing technologies, coupled with their eagerness to adopt and master emerging innovations, significantly contributed to the success of ou project. Nortal expert was able to work efficiently and focus on the right priorities, resulting in timely delivery of the project. Additionally, he was flexible enough to make necessary adjustments or changes along the way without any issues.”

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    Nortal is a strategic innovation and technology company with an unparalleled track-record of delivering successful transformation projects over 20 years.