This privately-held real estate acquisition and management company determined that to retain a competitive edge and scale the business, automation of their property acquisition process was required. A project initiated with another consulting firm was not showing success and was on the precipice of failure due to inability to integrate data, make use of machine learning models, and filter data for investment decisions targeted to their business goals.

EA quickly triaged the existing system to get it to an operational level and a series of strategic expansions and improvements were made to meet the business needs. An automated bidding system was developed using machine learning that analyzed MLS property listings, predicted value and ROI, and filtered properties based on investment criteria, such as location, price, property type, and expected return. Multiple investors were supported, and additional business needs were prioritized and delivered. The initiative delivered a 10% increase in profit margins.

• Power BI
• Snowflake

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