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AI-Driven Demand Planning

The use of artificial intelligence to analyze vast amounts of data and predict future demand trends with greater accuracy, improving inventory management and reducing stockouts.

Implications

Applied in supply chain and inventory management to forecast demand more accurately using AI algorithms, improving efficiency and reducing waste.

Example

Example: Amazon uses AI-driven demand planning to optimize its inventory levels across warehouses, reducing stockouts and excess inventory.

Related Terms

Compared to traditional demand planning, AI-driven methods can process more data and adapt to changes in real-time, providing more accurate forecasts.

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COUNTRIES COVERED

Japan

South Korea

China

Taiwan

Vietnam

Thailand

Indonesia

Malaysia

Singapore

Australia

Philippines

Cambodia

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