ERA Realty Network launches phase 2 of FindPropertyAgent.sg: Match with a property agent in less than a minute

Singapore, 14 May 2018 – ERA Realty Network (ERA) has launched the phase two of its FindPropertyAgent.sg (FPA), a website that allows customers to find property agents based on the latter’s reviews and past transactions.

With the rollout, the FPA now comes with an industry-first feature that allows users to match with their preferred property agents in under a minute. This works similar to a ride-hailing platform. Users can search on the service they require, be it buy, sell or rent, and they will be prompted with a database of agents who are online. Thereafter, they can choose the agents they feel can best address their needs, and connect with them in real time.

ERA Chief Operating Officer, Marcus Chu says: “The phase two of FPA will heighten convenience for consumers as they search for property agents. Not only that, in the event that they have an urgent matter that requires immediate attention, they can find a suitable property agent who is available to help them in real time. For agents, this feature helps them to acquire more leads and encourage them to respond to consumers’ enquiries in a timelier fashion. We hope to aid our agents in embracing digital technology with solutions specifically developed to increase agent’s productivity though our mobile applications (i-ERA, ERA SG Projects), website (ERA.com.sg), customer relationship management system (24/7 PropWatch) and an internal portal (myERA).”

About FPA
FPA is a dedicated website for consumers to customise their search experiences for the right property agent. Smart algorithms enable consumers to find the most suitable property agents who can cater to their needs. FPA encompasses the most complete property agents’ profile pages with past transactions statistics, customer reviews, awards achieved, and trainings completed, to increase transparency and build better trust with consumers.

Soon to be launched too, artificial intelligence will be used to help agents serve consumers more efficiently by answering common queries and predict preferences. This time-saving feature, another industry-first, will enhance overall effectiveness.

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