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

임팩티브AI(대표 정두희)는 6월19~21일 서울 코엑스에서 열리는 국내 최대 인공지능(AI) 전시회 ‘2024 인공지능&빅데이터 쇼’에서 기업의 효율적 재고관리를 돕는 AI 기반 수요 예측 솔루션 ‘딥플로우’를 선보인다고 19일 밝혔다.

임팩티브AI가 풀무원에 AI 원자재 가격 예측 솔루션을 도입하는 계약을 체결한다고 밝혔다. 이번 계약을 통해 풀무원은 임팩티브AI의 최첨단 AI 기반 예측 솔루션을 도입해 원자재 구매의 효율성과 비용 절감을 대폭 향상시킬 예정이다.

AI(인공지능) 기반 수요예측 전문업체 임팩티브에이아이(임팩티브AI, 대표 정두희)가 프리A 라운드 투자를 마무리했다고 6일 밝혔다. 기업은행 등으로부터 모두 21억원 규모의 자금을 유치했다.회사는 2023년 10월 △블루포인트파트너스 △인라이트벤처스

인공지능(AI) 전문 기업 임팩티브AI는 ‘철강 원재료 AI 수요예측 및 지능형 재고관리 솔루션’을 동국산업에 공급해 실증을 마쳤다고 2일 밝혔다. 임팩티브AI는 지난 7월 포항테크노파크 경북디지털혁신본부가 추진하는 ‘수요 맞춤형 AI 솔루션 개발·실증

AI 기반 수요예측 전문 기업 임팩티브AI(대표 정두희)가 미국 실리콘밸리의 AI 반도체 기업 삼바노바 시스템즈(SambaNova systems)와 글로벌 시장에서의 전략적 협력을 위한 NDA(비밀유지협약)를 체결했다고 18일 밝혔다.

임팩티브AI가 머신러닝 기반 인력 이탈 예측모델을 자사의 기업용 예측 솔루션에 적용할 예정이다. 이번에 새롭게 적용하는 인력 이탈 예측모델은 정두희 대표가 이끄는 한동대 연구팀에서 개발한 것이다.