Systems, methods, and computer-readable storage media for using historical data associated with related products, current inventory levels, and machine learning, to predict the amount of inventory for a new product (which a retailer has not previously sold) multiple retail locations require. Data regarding actual sales of the new product is then saved and used to update the machine learning model, such that the next time a new product is released, an improved algorithm for predicting the demand is used.
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