Inventory Demand Prediction for E-Commerce Enterprises Based on BP Neural Network
With the rapid development of e-commerce,the instability of market demand is becoming increasingly prominent,which makes it difficult for many enterprises to accurately set inventory levels and easily lead to a large amount of inventory funds being occupied.To reduce inventory costs,it is necessary to accurately predict market demand and set reasonable inventory accordingly.The article takes H Company as an example and uses Back Propagation(BP)neural network prediction method to predict its demand for finished products,enabling the enterprise to maintain reasonable inventory and reduce unnecessary inventory funds.
Back Propagation(BP)neural networke-commerce enterprisesinventory demand forecasting
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