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

Key elements to be reviewed before introducing the system

A strategy for developing new products that compete on data

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

조선미디어그룹의 디지털전환 전문 미디어인 IT조선은 19일 서울 웨스틴조선호텔에서 ‘2024 대한민국 인공지능대상’ 시상식을 개최하고 20개 기업에 시상을 진행했다. 대한민국 인공지능대상은 2019년부터 해마다 열리는 행사다.