Really, I Can Return It? Sold!: Optimizing Your Returns Policy

Most retailers base their returns policies on a mix of customer data and intuitive business sense, with the goal of protecting profits but also fostering loyal customers who will come back to spend tomorrow. It is a fine line with murky parameters, but companies do not have to rely on trial and error to tweak their returns policies. A higher value is placed on the ability to return the item when it is bought sight unseen.

Provided by: Northwestern University (Kellogg) Topic: Big Data Date Added: Jan 2010 Format: HTML

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