TMAP has evolved into an AI location agent. From discovering places users might want to go to recommendations, searches, and reservations, we provide hyper-personalized local services, and through this, we are evolving into a data-based car life platform.

T Map Mobility held a press conference on the 23rd and announced the launch of the AI location agent service 'Where to go'.

The plan is to learn massive movement data amounting to 6.7 billion cases annually and provide differentiated services for all journeys before and after movement, including short distances, long distances, and future course suggestions.

Lee Jong-ho, CEO of T Map Mobility, emphasized, “‘Where to go’ is a highly reliable service that only T Map can provide, as it utilizes actual driving data for location search and recommendation logic.” He added, “We will gradually advance personalized location recommendations by applying AI and provide a connected experience before and after location search and travel.”

Where to go consists of a total of 6 items: △Around me/Discovery △Place details and reviews △Certification badge △Recommended search △Recommended when moving △Business place.

The 'Around Me' tab recommends popular places by distance from 500m to 10km. You can also search by filtering by time, gender, and age. The 'Discovery' tab recommends personalized places by region based on the user's movement pattern. The UI of these two tabs is designed so that users can easily switch between screens to search for places.

User reviews, which are a key consideration in selecting a location, have been implemented to increase reliability and secure diversity. We have introduced a driving certification review that can only be written by users who have actually driven the vehicle for the first time in the industry, and the driving certification reviews written in this way are displayed in the location details separately from general reviews. The driving certification review is characterized by the fact that it can review not only the experience of the place but also the parking and driving experience, so that you can obtain the necessary information when visiting the vehicle. In addition, it greatly increases consumer convenience by providing integrated reviews of restaurants from partnered platforms.

T-map certification badges are also introduced. There are two types of certification badges. The local popularity badge provides data-based recommendations of restaurants frequently visited by locals. It automatically recommends restaurants frequently visited by local residents by utilizing data from users who have registered their homes. In addition, the top 50 places in the selected area are ranked based on the most recent number of moves in the area, and the top 10 restaurants and cafes are given T-map ranking badges.

Searching for places has also become much easier. Through the recommended search function, you can search for keywords such as ‘Euljiro Restaurant’ or ‘Samgyeopsal Restaurant’ instead of specific place names. In order to seamlessly connect movement and location search, we plan to introduce restaurant recommendations before and during the route based on the recommendation service while moving.

In addition, a BizPlace function has been added to allow business owners to directly manage their location details pages to improve the accuracy of the collected location information. It is designed to allow easy and convenient input and management of business hours, menus, parking, and additional information.

Jeon Chang-geun, head of product, said, “In the future, we will introduce AI-based course recommendation functions as well as conversational search functions based on large-scale language models (LLMs),” and “We will continue to enhance our services to enable more sophisticated recommendations by combining various factors such as users’ movement patterns and preferences.”

T Map Mobility emphasized that it will significantly improve profitability by making this year the first year of full-scale growth in its data business by utilizing the vast amount of data accumulated through various services. The goal is to achieve sales of high value-added data business of over 70 billion won this year and continue to grow by 50% in terms of sales by 2027.

Park Seo-ha, head of Data & Innovation at T Map Mobility, said, “We want to create a virtuous data-based mobility ecosystem where users, businesses, and T Map Mobility can all benefit.” He added, “We will create new value and implement a sustainable business model by providing users with benefits such as advanced personalized services and rate discounts, and partners with a foundation for increased productivity and customer acquisition.”

To this end, we will expand traffic coming from services other than navigation, such as Where to Go, and learn various structured and unstructured information, such as location and vertical data, to foster data-based core businesses (△Data Biz △Car Life △Marketing Platform △TMAP Auto).

There are already successful cases in various industries such as energy, logistics, local government, and finance where T Map data has been used for demand forecasting, marketing, and optimal route setting to increase productivity by more than 15%. In addition, T Map Mobility plans to expand partnerships for advanced data (map/road information, real-time traffic information, location information, etc.) provided to B2C, B2G, and B2B and data analysis services utilizing this.

Through the advancement of TMAP Bizplace, which was introduced together with Where to Go, we also provide a marketing platform (coupons, customer analysis, local advertising, points, etc.) that business owners can utilize to attract customers. In addition, by combining such data capabilities, TMAP Auto, a vehicle TMAP platform currently being supplied to more than 18 brands, will combine vehicle and T Map data to enhance differentiated infotainment services optimized for vehicles and driving environments.

CEO Lee Jong-ho emphasized, “We will continue to discover and develop differentiated services that only T Map can provide, thereby laying the foundation for sustainable growth,” and “This year in particular, we will accelerate profit improvement by making it the first year of full-scale growth in our data-based core business.”