Essential choice for data-based decision making

Case Study on the Success of Digital Transformation in the Manufacturing Industry

How to overcome the situation by introducing an AI inventory management system

Demand forecasting AI, from failure to success

Preparing for digital transformation & AI transformation

Demand forecasting future strategy in the age of AI

An AI Data Guide for New Product Planners

How far can AI-based digital innovation go?

Various data augmentation techniques that can be applied directly to practice

Online seminar with ImpactiveAI CEO Doohee Jung

The moment when complex production data comes into view

From Microsoft Dynamics 365 to Oracle Cloud Supply Chain

Successful case of introducing AI inventory management in the manufacturing industry The inventory management method that relies on past experience and intuition is no longer competitive. The AI-based inventory management system can accurately predict demand by analyzing vast amounts of data in real time and automatically calculate the optimal inventory level.

Recently, the use of AI technology in the pharmaceutical industry has been notable. It has achieved results that have been proven by specific figures, such as a 55.1% reduction in inventory costs and a 22.6% reduction in out-of-stock rates. In particular, it is notable that it predicted the number of patients with an accuracy of 96.5% and based on this, it predicted the sales volume of pharmaceuticals.

Inventory management in the manufacturing sector has become a key factor in determining a company's competitiveness. The inventory management costs of global manufacturing companies account for an average of 32% of total operating costs, a trend that has been on the rise for the past five years.

How did the AI demand forecasting system solve the chronic problems of the manufacturing site? And what changes did the site workers experience? This article contains vivid examples of how AI technology solved the problems of demand forecasting and inventory management that the manufacturing industry was struggling with.

Ending the long-standing concerns of manufacturing/distribution companies

Interview with Researcher Yoon Jin-seop of IMPACTIVE AI Researcher

Interview with Jeong Doo-hee, CEO of IMPACTIVE AI

Interview with Eun-jin Yoon, IMPACTIVE AI Planner and Manager

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한미사이언스의 핵심 계열사인 온라인팜은 인공지능(AI) 전문 기업 임팩티브AI와 협력하여 AI 기반 수요예측 솔루션인 ‘딥플로우 포어캐스트(Deepflow Forecast)’를 성공적으로 도입하고, 유의미한 성과를 거뒀다고 3일 밝혔다.

한동대학교(총장 최도성)는 지난 17일부터 21일까지 르완다 키갈리에서 르완다 국립대학교(University of Rwnada) 및 종합기술전문대학(Rwanda Polytechnic)과 협력하여 ‘인공지능(AI) 기반 차세대 기업가정신훈련

한미약품그룹 지주사 한미사이언스의 유통 전문 계열사 온라인팜이 의약품 수요 예측을 해주는 최첨단 인공지능(AI)을 도입한다. AI를 활용해 의약품 유통 과정에서 수요를 예측하고, 재고를 관리해 정확도와 효율성을 향상하려는 것이다.

한미사이언스 핵심 계열사 ‘온라인팜’온라인팜은 임팩티브AI사의 인공지능(AI) 수요예측 솔루션 ‘딥플로우포어캐스트’ 구매 계약을 체결했다고 22일 밝혔다.임팩티브AI는 기업의 신제품 출시, 재고 관리 등을 돕는 AI 예측 솔루션 전문 회사로,