| Reviewing suspect orders is used by almost every online business selling shippable or high cost goods. This can be a costly and time-consuming way to reduce fraud. Employing automated rules and machine learning to evaluate transactions can dramatically minimize the number of orders needed for review. Once the orders are held for review, there are key strategies that can significantly improve agent consistency, speed, and accuracy. Attend this webinar to learn best practices for optimizing manual reviews and look like a rock star doing it. | | | Presented by: | | |  | | Haly Harper | | eCommerce Risk Manager, BodyBuilding.com | | |
| |  | | Aaron Chesley | | Technical Sales and Client Success Manager, Kount | | |
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