Insight Vessel implements KEPCO AI Project and Boosts SME-Focused AI Energy Platform

A new AI-powered platform designed to help small merchants reduce energy costs and better understand electricity usage is gaining attention as part of the government’s 2025 AI·Agile Innovation Service Development Program. The initiative introduces three major public services utilizing electric-power data: an AI-based energy-savings analysis service for small businesses, an AI model that predicts whether commercial facilities are open or closed, and a district-level carbon-footprint calculation service based on electricity consumption. These services collectively aim to provide practical, data-driven benefits to the public.
 

[Image by KEPCO]

Industry officials noted that Insight Vessel Co., Ltd. played a pivotal role in the technological development of this platform. The company contributed key AI modeling capabilities, platform-implementation support, and high-quality data-processing work that significantly elevated the accuracy and usability of the services.
 
According to project documentation, the SME-focused energy-analysis service allows merchants to view monthly electricity-usage comparisons, receive end-of-month bill predictions, and obtain optimal contract-plan recommendations based on their consumption patterns. The platform also provides intuitive breakdowns of how electricity fees are calculated—an area that many small businesses have traditionally found difficult to navigate.
 
Insight Vessel was responsible for developing and refining several of the platform’s core AI models. These include prediction models that infer a store’s real-time operating status from power-usage patterns, forecasting models that estimate monthly electricity consumption and costs, and optimization algorithms that help merchants choose the most appropriate electricity-contract tier. The company also played a major part in implementing sections of the integrated platform itself, building interfaces for store data management, usage visualizations, and sales-strategy simulation features.
 

Insight Vessel’s data-engineering work served as the backbone of the platform’s performance. The company handled large-scale data cleansing, labeling, augmentation, and pipeline construction to ensure the AI could learn from accurate and well-structured datasets. These efforts improved the precision of predictions such as business-operation estimation and energy-cost forecasting.
 
Merchants participating in early trials reported that the platform helped them better understand why their electricity bills fluctuate and how their usage compares with nearby stores. Other functions, such as AI-driven open/close prediction, are expected to support digital presence management by automatically conveying a store’s operating status without relying on manual updates.
 
Jiwon Nam, CEO of Insight Vessel, emphasized that the project offered substantial technological value to the company.
 
“This project has been tremendously helpful in advancing our AI technology and practical experience,” Nam said. “Working with real electricity-usage data at scale allowed us to refine our models and strengthen our data-processing capabilities. We hope this service will become a meaningful tool for small-business owners across the country, helping them save energy, improve their operations, and gain insights that were previously out of reach.”
 
As public agencies continue to explore new uses for electricity-consumption data, analysts expect the platform to expand further and deliver increasingly sophisticated services. With its contributions, Insight Vessel has positioned itself as a key player in the next wave of AI-driven public-sector innovation.
  

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