CASE STUDIES

Driving Profits in a Highly Competitive Landscape

driving profits in a highly competitive landscape

A prediction ensemble utilizing multivariate regression was created for a global record company. This resulted in an increase in the sales forecast model’s accuracy from 60% to 97% for 133 artists across ten genres, thereby increasing profits and optimizing the supply chain.

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