Paju City Uses Big Data to Set Targeted Direction for "Paju Pay" Support... Sales Up 17%, Stability Also Up

Paju City Holds Completion Report Meeting for "Big Data-Based Regional Status Analysis Project"
Big Data Analysis of Local Currency Presents Blueprint for Targeted Support
Analysis of Paju Pay Usage Patterns Reveals Increased Sales and Stable Consumption for Small Businesses

Paju City in Gyeonggi Province held a completion report meeting for the "Big Data-Based Regional Status Analysis Project" on the 14th and released the results of this year's data analysis.

Paju City held a completion report meeting for the "Big Data-Based Regional Status Analysis Project" on the 14th. Provided by Paju City

This analysis was conducted by Aladdin System, utilizing population information data from LG Uplus and payment data from Samsung Card. For the local currency sector, precision was enhanced through collaboration with NICE GiniData, a specialized commercial district analysis agency.

This year's analysis covered a total of seven areas: ▲service population status ▲effectiveness of local currency usage ▲tourist site status ▲tourism trends and regional festival analysis ▲food hygiene business consumption analysis ▲estimation of consumption economy scale ▲climate change. The results presented at the meeting offered a comprehensive analysis of changes in citizens' daily lives and the overall local economy.

In particular, the local currency analysis served as a key indicator, providing a multidimensional view of actual changes in local commercial districts and consumption structures. It highlighted the economic impact of "Paju Pay" and suggested future directions for targeted support, attracting significant attention.

The number of stores accepting Paju Pay continues to increase, and the total sales of Paju Pay-affiliated merchants rose by 17.4% compared to the same quarter last year, significantly outpacing the 5.5% increase seen by non-affiliated stores.

Even as sales nationwide stagnated or declined after the "revenge spending" of 2023, stores using Paju Pay experienced stable monthly sales fluctuations at 8.1%, while non-affiliated stores showed much higher volatility at 15.9%. This demonstrates that local currency payments contribute positively to commercial district stability and sales maintenance.

The living population analysis revealed a concentration of people in specific areas during morning hours. It also confirmed that Paju City’s demographic structure, with a high proportion of school-age residents (under 20 years old), is closely linked to demand for transportation and education policies. Accordingly, Paju City plans to conduct in-depth analysis in the transportation and education sectors as part of the "2026 AI-Based Data Analysis Project," including ▲diagnosing causes of traffic congestion and optimizing signals ▲analyzing accessibility to educational facilities ▲forecasting future educational demand.

Choi Byunggap, Deputy Mayor of Paju City, stated, "I hope the results derived from this analysis project will be actively utilized by each department and lead to policy implementation. Based on these results, we aim to further develop an AI-based data administration system and realize policies that citizens can truly experience."

This content was produced with the assistance of AI translation services.