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

Currently, global companies are investing more than $50 billion a year in AI agents, and the market is expected to reach $200 billion by 2025. This is more than just a technological innovation, but a paradigm shift across the entire industry.

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.

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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.

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