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The article discusses the use of analytics by the online retailer Rue La La for demand forecasting and price optimization in the fashion sample sales industry. It highlights the challenges of pricing and predicting demand for new products, and presents a machine learning-based demand prediction model and a price optimization algorithm that resulted in a significant revenue increase of approximately 9.7%. The research contributes to the field by developing a pricing decision support tool and conducting a fie

Author

kanishparihar090

Language

EN