E-commerce Use Cases/Operations & FulfillmentOperations Manager

What percentage of orders flagged as high-risk (fraud score > 80) in the last 90 days were confirmed fraudulent vs legitimate, and is the false positive rate above 40%?

Evaluate fraud scoring model accuracy to reduce false positives that block legitimate orders and damage customer experience.

Metrics & KPIs

True positive ratefalse positive raterevenue blocked from false positives

Required Data

Fraud score per ordermanual review outcomeschargeback confirmations

Data Sources

PaymentsE-commerce PlatformData Warehouse

Works with tools like

StripePayPalKlarnaAfterpayAdyenShopifyWooCommerceMagentoBigCommerceSalesforce Commerce CloudSnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

Bruin

Bruin AI Data Analyst

What percentage of orders flagged as high-risk (fraud score > 80) in the last 90 days were confirmed fraudulent vs legitimate, and is the false positive rate above 40%?

Bruin connects to your Payments, E-commerce Platform, Data Warehouse and runs the analysis automatically.

It tracks True positive rate, false positive rate, revenue blocked from false positives and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

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C-Level/ExecutiveCategory ManagerCustomer Experience ManagerData AnalystDigital Marketing SpecialistE-commerce ManagerFinance ManagerGrowth ManagerMarketing ManagerMerchandiserOperations ManagerSupply Chain Manager

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