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How Retail Can Reap the Rewards of Data Science

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The margin for error with this kind of approach is excellent at just 3% to 4%. Getting items into the warehouse and onto the shelves requires labour, which needs to be forecast. With over a third resulting in purchases, it’s fair to say that using data science in this way leads to accurate and effective recommendations.

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