Discover the 6 major demand forecasting models for 2025: from basic statistical approaches to advanced AI platforms. A comprehensive guide for non-experts to choose the right model for their business needs and improve decision-making.

Innovation strategies to drive real ROI

Transforming decision-making with AI-powered precision predictive technology

Deepflow, a smart solution for inventory management innovation

The introduction of AI in the manufacturing industry has shown remarkable results, improving productivity by 30-45% and reducing operating and maintenance costs by up to 60%. However, many manufacturing companies are aware of the need to introduce AI, but are wondering where and how to start.

Domestic manufacturing supply chain crisis and response strategies

How to capitalize on opportunities amid uncertainty

Deepflow, a new sales volume prediction paradigm in the age of AI

Prediction is the power to stay one step ahead

How can we trust demand forecasts?

Digital transformation methodology to strengthen on-site competitiveness through AI conversion

The most essential technology for product strategy and development

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

인공지능(AI)은 예측을 위한 기술이다. 생성형 AI가 질문에 대해 답변을 생성하는 원리도 예측이다. 임팩티브AI는 바로 이 예측을 특화 서비스로 삼은 AI 스타트업이다.대표적인 솔루션은 AI 예측모델 ‘딥플로우(DeepFlow)’로 상품의 재고 관리

인공지능(AI) 초격차 시대가 온다" 그리고 'AI 비즈니스 모델'을 구축하는 구체적인 방법을 제시한 "한 권으로 끝내는 인공지능(AI) 비즈니스 모델"의 저자로 더 알려진 한동대학교 ICT창업학부 정두희 교수가 지난 7월 AI를 통한 수익화를 돕는

파워플레이어(대표 김유재)는 AI를 통해 임팩트를 창출하도록 돕는 임팩티브에이아이(대표 정두희)와 업무협약(MOU)을 체결했다고 2일 밝혔다. 이날 협약식은 지난 2월 24일 파워플레이어 김광민 총괄이사와 임팩티브에이아이 정두희 대표를 비롯해

정두희 임팩티브AI 대표가 최근 'AI(인공지능) 비즈니스 임팩트를 창출하는 방법'에 대한 내용을 다룬 신간 도서 '넥스트 빌리언 달러'를 출간했다.저자 정두희 대표는 AI 분야 전문가다. 현재 한동대학교 ICT창업학부 교수이자 'MIT테크놀로지리뷰'

인공지능(AI)을 통한 수익화를 돕는 스타트업 임팩티브AI가 최근 설립됐다. 회사는 국내 대표 AI 전문가로 꼽히는 정두희 한동대 ICT창업학부 교수가 이끈다. 임팩티브AI는 기업의 비즈니스 경쟁력 향상을 위한 AI 도입을 지원하고,

기업용 AI(인공지능) 예측 시스템을 공급하는 ㈜임팩티브에이아이는 16억원 규모의 프리시리즈A 투자를 유치했다고 10일 밝혔다.이번 프리시리즈 A 투자는 △블루포인트파트너스 △인라이트벤처스 △신용보증기금 △울산창조경제혁신센터가 참여했다.