Fraud Mitigation Settings:
Olo Shield fraud prevention is a service designed to reject orders matching patterns that many fraudulent orders have in common. Genuine (non-fraud) orders may be blocked by enabling this feature. By enabling fraud prevention you agree to report fraud via the Olo Dashboard by finding the order and clicking report fraud. This information will improve the fraud prevention filter.
NOTE: If you do not see Fraud Settings in your Dashboard menu (pictured below), you will need to request updated Olo Dashboard permissions to see Fraud Settings. Use the "Submit a request" button to request an update to your Olo Dashboard permissions.
To enable Shield:
- In the Olo Dashboard, under Settings, select Fraud Settings:
2. Select store locations on the right-hand side and click “Confirm Store Selection.” Note, you can select multiple locations or a single location, as desired:
3. Current Fraud Settings for the selected locations will appear. In the below example, all selected locations have fraud mitigation turned off:
4. Change “Enable Fraud Mitigation” to “Yes” and you will see the option to select the fraud mitigation level. The options will be the following:
5. Once you select a Fraud Mitigation Level, the page will show you a list of orders that would have been blocked in the last 30 days if that setting had been live:
6. Click “Save Settings” to confirm.
Olo recommends all locations that turn on Shield start at the Lenient setting. After starting on Lenient, if the location still experiences fraud, the Dashboard user can bump the setting up to Moderate as needed. Note that settings higher than Lenient will increase the possibility of false positives (legitimate customers getting marked as fraudulent).
This whitelisting feature should only be used in exception use cases for customers who are getting false positives. For example, if you have a valid customer who chronically gets flagged as fraud and you want a way to tell the fraud monitoring logic to allow the customer to place online orders. Under the Whitelisting tab, search for the user by name or email address. Click “Add to whitelist” in order to resolve the false positives. The customer should now be able to order without encountering any issues.