Russian Federation
Russian Federation
The article analyzes intelligent dynamic pricing algorithms for dropshipping markets in highly competitive environments. It examines machine learning and artificial intelligence methods that adapt prices based on data about demand, competitors, and consumer behavior. It is shown that such algorithms increase business efficiency and competitiveness in e-commerce.
dynamic pricing, artificial intelligence, machine learning algorithms, e-commerce, dropshipping, competitive environment, demand forecasting
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