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Protect your BFCM revenue from returns and policy abuse
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aftership returns

Returns

Return Fraud Management

Protect profitability by reducing policy abuse, automatically detecting and preventing suspicious activity with workflows. Get visibility into customer behavior and address high frequency shoppers and weight discrepancies.

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Auto-identify potential fraud by analyzing shopper behaviors

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Instantly resolve return scams with automated workflows

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Drill down into an individual customer's returns history

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End-to-end fraud detection through seamless integrationComing Soon

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safeguard revenue and optimize operations with anti fraud workflows

Safeguard revenue and optimize operations with anti-fraud workflows

Merchants face revenue loss and added expenses due to abuse of return policies, including the return of used items, empty boxes, or incorrect products. These issues can be hard to detect beforehand, resulting in extended processing times.

 With AfterShip's anti-fraud solution, you can safeguard your revenue and reduce operational costs by staying one step ahead of returns scams. Our automated workflows enable timely anti-fraud inspections and trigger actions to mitigate policy abuse. When a suspicious request is detected, the system flags it or adds the customer to a blocklist. Seamless integration with AI-powered fraud detection and 3PL partners ensures comprehensive monitoring for potential fraud incidents from checkout to return.

How Fellow stopped returns policy abuse using anti-fraud workflows

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"We've noticed some customers trying to game our returns policy. AfterShip Returns has supported us in addressing fraud with automated blocklists, flagging suspicious orders, and not auto-generating return labels."

Stephen Davis Hernandez

Digital Product Manager - Operations/Logistics

Auto-identify potential fraud by analyzing shopper behaviors

By automatically analyzing shopper behavior, you can uncover patterns and anomalies indicating fraud, such as 'wardrobing' and 'empty box' returns. 

 Track the number of return requests, specific reasons for returns, and item tags used by customers over a defined period. Then, take your analysis further by identifying weight discrepancies between returned parcels and original items, and evaluate the timeline between the first return shipment checkpoint and the return request or approval date.

auto identify potential fraud by analyzing shopper behaviors
instantly resolve returns scams with automated workflows

Instantly resolve returns scams with automated workflows

Address return exceptions quickly to proactively safeguard your business from financial loss. Once customers or return request are identified as potentially fraudulent based on behavior analysis, our workflows will auto-trigger anti-fraud actions, like flagging suspicious return requests for manual review or adding individual customers to the blocklist.

Drill down into an individual customer's returns history

Quickly address fraudulent returns by rejecting the requests based on historical data. 

 See all the historical return request data of specific customers on the RMA detail page by setting the customer request period.

drill down into an individual customer s returns history
end to end fraud detection through seamless integration

End-to-end fraud detection through seamless integrationComing Soon

Integrate with AI-powered fraud detection platforms and 3PLs to receive fraud risk assessments at checkout and upon return requests.

 Collaborate with 3PL or warehouse partners for item inspections and use APIs for smooth data transmission to trigger anti-fraud actions. When returns are flagged as fraudulent, AfterShip will update the detection platforms with the merchant's decision, enhancing fraud detection accuracy.

Learn more about Returns

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