unlocking value in merchandise returns marketelligent

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UNLOCKING VALUE IN MERCHANDISE RETURNS Over 8 – 15 % of a Retailers Sales are returned for various reasons. This can cause both a negative sales impact, and an increase in expenses. However smart strategies leveraging transaction information and the best of analytics can help manage Returns leading to a significant boost to the bottomline. Retail Sales 92% Returns 8% Best Customers 1.5% Next Best Customers 2.0% Average Customers 3.0% Fraud / Abuse 1.5% Identify your best and most profitable customers. Customize your Returns policy to maximize revenues and repeat sales Detect Fraud and Return Policy abuse using advanced analytics Advanced Analytics leveraging Customer behavior & historical transaction data can enhance a Retailers bottom line by as much as 5% of its annual sales Opportunities in Returns Fraudulent and abusive returns cost retailers approximately $10-15B annually, accounting for nearly 10% of the return dollars 30% of the top 100 retailers actively use a returns solution that can verify if the receipt is valid, but cannot intelligently advise the store about the validity of the return Handling returns costs US retailers over $165B each year Expenses related to returns such as product repackaging, markdowns and item disposition cost retailers even more Handling product returns should be an important component of a retailers CRM strategies Retailers should capitalize on product return occasions and treat them as additional touch points to strengthen their relationship with customers A cross channel return policy will create cross-selling opportunities. For example, retailers can encourage customers to shop in stores when they come to return online and catalog orders Minimize Fraudulent Returns Treat Returning Customers Differentially Minimize additional expenses related to returns Encourage Cross-channel synergies

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Page 1: Unlocking value in merchandise returns   marketelligent

UNLOCKING VALUE IN

MERCHANDISE RETURNSOver 8 – 15 % of a Retailers Sales are

returned for various reasons. This can cause

both a negative sales impact, and an

increase in expenses. However smart

strategies leveraging transaction information

and the best of analytics can help manage

Returns leading to a significant boost to the

bottom line.

Retail Sales

92%

Returns

8%

Best Customers

1.5%

Next Best

Customers

2.0%

Average Customers

3.0%

Fraud / Abuse

1.5%

Identify your best and most profitable

customers. Customize your Returns

policy to maximize revenues and repeat

sales

Detect Fraud and Return Policy abuse

using advanced analytics

Advanced Analytics leveraging Customer behavior & historical transaction data can

enhance a Retailers bottom line by as much as 5% of its annual sales

Opportunities in

Returns

• Fraudulent and abusive returns cost

retailers approximately $10-15B annually,

accounting for nearly 10% of the return

dollars

• 30% of the top 100 retailers actively use a

returns solution that can verify if the

receipt is valid, but cannot intelligently

advise the store about the validity of the

return

• Handling returns costs US retailers over

$165B each year

• Expenses related to returns such as product

repackaging, markdowns and item

disposition cost retailers even more

• Handling product returns should be an

important component of a retailers CRM

strategies

• Retailers should capitalize on product

return occasions and treat them as

additional touch points to strengthen their

relationship with customers

• A cross channel return policy will create

cross-selling opportunities. For example,

retailers can encourage customers to shop

in stores when they come to return online

and catalog orders

Minimize Fraudulent

Returns

Treat Returning Customers

Differentially

Minimize additional

expenses related to returns

Encourage Cross-channel

synergies

Page 2: Unlocking value in merchandise returns   marketelligent

REDUCE FRADULENT RETURNS

USING PREDICTIVE MODELS

OPTIMIZE RETURNS POLICIES BY

ANALYZING RETURN PATTERNS ACROSS

CUSTOMERS & PRODUCTS

MERCHANDISE RETURNS -

ANALYTICS DRIVING PROFITABILITY

CONTACT www.marketelligent.com

ASHLEY MARKETELLIGENT PVT. LTD.#1251, 32 G Cross, Jayanagar 4th T Block, Bangalore 560 041, INDIA

+91 80 2664 2802 (India) 1-201-301-2411 (USA) [email protected]

Marketelligent provides data analytics-based consulting

and outsourcing services that help you make smarter

business decisions. The firm is backed by senior

professionals with experience across Consumer focused

industries - Retail Banking, Consumer Packaged Goods,

Consumer Retail, Telecom and Media. We offer an

affordable global delivery model leveraging the best of

domain expertise and analytic capabilities.

About Marketelligent

Ou

r C

lie

nts

Chien-Chih Yu and Cheng-Su Wang

A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing

The Retail Equation

Unlocking the Value in Return Transactions