TOMI Can Now Find Your Nearest Panel Clinic In Three Simple Stepsby Company Announcement February 22, 2018
Tokio Marine Life Insurance Singapore introduced a new functionality to their TOMI chatbot.
The update will enable users to conveniently find suitable TMLS panel clinics within their designated search area. With filters such as doctor specialisation and clinic location, consumers can identify clinics based on their various needs and schedules, reducing any pre-appointment administrative hassle.
Previously, advisers and consumers needed to scan through an extensive list of 539 panel clinics online. While they could filter results with a location search, the previous interface may not have been immediately intuitive for most users.
According to available data, information on TMLS panel clinics is one of the top three queries posed to advisers. Not only will this new update save time for consumers, it will also free TMLS advisers up for more complex queries.
“At TMLS, we want to empower Singaporeans and allow them to manage their insurance coverage seamlessly,”
said James Tan, Chief Executive Officer of TMLS.
“Completing a health check is one of the first steps when getting insured. With TOMI’s new search function, our customers can enjoy a simpler, speedier process when identifying our partner clinics, which in turn gets them protected as early as possible.”
Users may type keywords such as “panel clinics” or “doctors” on TOMI to select the type of doctor they would like to see. They will next be prompted to share their location to receive a list of nearby panel clinics. Users can then select their preferred clinic to access its location on Google Maps.
An abbreviation for Tokio Marine Insurance, TOMI was the first self-learning AI chatbot in the industry at its initial launch in 2017. It aims to make life insurance more accessible for the public and provides users with instant and accurate explanations of commonly-used terms in insurance as well as information on TMLS products and solutions. It is available 24/7 through popular messaging app Facebook Messenger.
This article first appeared on iotnews.asia