Impactive AI's
Technology and Insights

Enterprise competitiveness determined by technological innovation capabilities

Global Businesses' Strategy to Deal with Supply Chain Crisis

Innovation strategies to drive real ROI

Transforming decision-making with AI-powered precision predictive technology

Pain points experienced by field practitioners

Supply chain trends and innovation challenges by industry

Transforming Complex Forecasting Results into Easy-to-Understand LLM-Powered Reports

Business Innovation in Quantum Computing-Based Demand Forecasting

Unpredictable times, demand forecasting and corporate survival

Business innovation in AI-based sales forecasting

Gain strategic insights from internal sales data

Dramatic Results: 14-49% Accuracy Improvement Depending on Data Inclusion

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.

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.

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.

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.

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

Ending the long-standing concerns of manufacturing/distribution companies

IT Chosun

Yeongnam Ilbo

AI Times

Money Today

IT Chosun

IT Chosun