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One of the major difficulties that came across with the development of a rental property management system is maintaining a top-notch performance in the presence of huge amounts of data. Since such sorts of real estate software solutions consist of a whole lot of data associated with the landowners, buyers, properties, rates, locations, status, client details, etc. and performing several operations on such a variety of data at a time can cause the slow or laggy performance of the system.
Another biggest challenge with the rental property management system is encouraging user engagement and retention via pushing suitable recommendations considering user requirements.
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