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Return Dollars Saved

Cost SavingsThe Retail Equation saves retailers costs annually by preventing fraudulent and abusive returns.

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Annual Revenue (required)

(input value range 100 million to 1 trillion)

Return Rate %:

(input value range 1.00 to 35.00)

Shrink Rate %:

(input value range 0.10 to 20.00)

Optimizing the Value in Return Transactions

An introduction to the concept and business case for return optimization. Published by The Retail Equation (January, 2011)

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Return Fraud and Abuse 101: How to Protect Profits

A basic overview of return fraud originally published in the Texas A&M Center for Retailing Studies Retailing Issues Letter, v17, #1. It is updated to reflect current statistics. (February, 2011)

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Fighting Return Fraud this Holiday Season

Find the right balance between preventing retail fraud and abuse and maintaining fair and consistent holiday return policies. Published by The Retail Equation (December, 2011)

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How the Science of Statistics Creates Profitable Solutions in Retail Loss Prevention

Loss prevention analytics is reshaping operations and policies to protect bottom lines. Published by The Retail Equation. (April, 2011)

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Reducing Organized Retail Crime with Return Authorization and Consumer Linking

A simple addition to your returns process can revolutionize the methods in which you recognize and prevent organized retail crime. Published by The Retail Equation (July, 2011)

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Return Rate Miscalculations Impact Retail Chains Nationwide

How calculating your real return rate leads to better decisions. Published by The Retail Equation (February, 2011)

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Creating Customer-Centric Service at the Return Counter

Helpful tips to create a unique experience—at the place consumers expect it least—the return counter. Published by The Retail Equation. (January, 2011)

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Solving the Revenue Shortfall: Transforming Returns Into New Sales

Consumer returns may hold the key to reducing retail revenue shortfalls. Published by The Retail Equation (August, 2010)

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Can Product Returns Make You Money?

How retailers can manage product return policies to maximize future profits. Published by J. Andrew Petersen and V. Kumar in the MIT Sloan Management Review (Spring, 2010)

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Really, I Can Return It? Sold!

Academic study on optimizing your returns policy. Based on the research of Eric T. Anderson, Karsten Hansen, and Duncan I. Simester, and published in Kellogg Insight (January, 2010)

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“We also use the Return Rewards system…Our customers like it, and we like the additional sales.”

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