The article examines the transformative impact of digital platforms on operational efficiency and service quality in real estate brokerage. The purpose of the study is to identify and analyze the mechanisms by which the integration of CRM, MLS, standardized data formats, electronic document workflow, analytics, and predictive technologies forms a single operating environment that increases process transparency, the speed of information exchange, and the predictability of the deal funnel. The digital transformation of the industry is what makes this topic relevant, because in most cases, buyers start communicating with an agency online, which raises new demands for time, data correctness, and multimedia presentations of properties. The novelty of this paper consists of a broad review of related digital solutions and their effects not solely on transaction cost reduction but also on the restructuring role of the broker who becomes more engaged in analysis, risk management, and client relationship based on trust rather than routine operations. The study identified data standardization and interoperability, document workflow automation, omnichannel communications integration, machine learning tools, and recommender systems as main enablers to drive productivity increases. These will bring approval times down from days to hours, reduce the non-targeted showings percentage, increase listing trust, plus personalized interaction. All these bring about a service model that can be scaled up such that speed, transparency, and quality of service are kept at very high levels without increasing costs, hence companies get a sustainable competitive advantage plus growth in economic indicators. The article will be useful for researchers of digital transformation, real estate professionals, and PropTech solution developers.
Jeniece Sampson (Sat,) studied this question.
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