#Seoul #Travel AI #DealLabs #Local Records

Transforming Travel with AI: DealLabs' Innovative Database

In an ever-evolving travel industry, the need for accurate and up-to-date information is paramount. This gap has been significantly addressed by DealLabs, a travel data company based in Seoul. Recently, they announced the completion of a comprehensive database containing over 280,000 verified local records for seven key Asian cities: Seoul, Busan, Tokyo, Osaka, Bangkok, Taipei, and Singapore. This database is not merely an assemblage of data; it is meticulously structured and aimed at empowering AI-driven travel services.

Enhanced Travel Experiences Across Major Cities

What are these verified records? They encompass a wide range of travel-related information that tourists seek after arriving in a new city. From subway station exits and train timetables to restaurant details and hospital locations, the richness of this database is designed to cater to the modern traveler's needs. For instance, within Osaka itself, more than 114,000 records are indexed, highlighting important locations such as 42,000 medical institutions and 30,000 restaurants.

In Taipei, the database boasts more than 63,000 records, including intricate fare details between various stations, providing travelers with essential information at their fingertips. Such comprehensive and precise data simplifies travel planning, making it easier for visitors to navigate new environments.

Surge in AI Data Usage

The importance and utility of this data cannot be overstated. The accessibility of such information is reflected in the significant increase in usage by generative AI search services. From averaging 600 daily accesses in late September, the usage skyrocketed to over 11,000 daily accesses by mid-October, illustrating a nearly 20-fold increase in less than a month. Such a surge signals the growing reliance on AI for travel planning and decision-making in real-time.

The Challenge of Information Accuracy

The dynamic nature of travel information poses a noteworthy challenge. A glimpse into the fluctuating public event schedules reveals notable discrepancies. On a single day, different sources may report varying end dates for pop-up stores, with some being as far apart as 10 days. This irregularity in business hours, ticket prices, and other critical information can lead to frustrating experiences for travelers. Addressing these inconsistencies, DealLabs commits to continuously updating its database from reliable official sources, ensuring that travelers receive the most accurate data possible.

Each of the seven cities in their database operates off a unified data engine, which simplifies the addition of new cities. This robust technological backbone allows for seamless integration of new data sources, thereby expanding their reach. Currently, all cities are equipped with AI-compatible guide files and APIs to facilitate data transfer.

Future Aspirations

In an exciting move, DealLabs is also piloting an initiative called **