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The same videos are displayed to shoppers on my collection page or recommendation widgets. I want greater exposure to alternative products and videos, but selecting which ones to display and updating them regularly feels overwhelming.   Furthermore, testing to determine which video garners the most traffic is even more challenging. I have no idea if my efforts will result in sales. If only there is a tool could help!

I want to fully customize different free shipping thresholds for different currencies/regions.   This would better compensate for my shipping costs in different currencies and may also increase the order value.

Hi, I hope you can include a column where users can also see "WHEN" the order arrived in customs clearance and "WHEN" it was released. I am referring to ALL orders, not just the delayed orders.

Currently, AfterShip's webhook outgoing IP list is only available on an HTML documentation page (https://www.aftership.com/docs/tracking/webhook/webhook-outgoing-ips). This makes it impossible to automate IP allowlist management in infrastructure-as-code (IaC) workflows.   Problem: Teams that use IP-based firewalls to secure their webhook endpoints must manually monitor the documentation page for any IP changes and update their firewall rules accordingly. If a change is missed, it can cause webhook delivery failures and broken integrations.   Request: Please publish the webhook outgoing IP list as a dedicated plain-text endpoint — similar to how Cloudflare publishes theirs at https://www.cloudflare.com/ips-v4 — where each IP is returned on a separate line.   This would allow teams to: * Fetch the IP list programmatically as part of their CI/CD or IaC pipelines * Keep firewall allowlists automatically in sync without manual intervention * Avoid service disruptions caused by missed IP changes This is a standard practice among major API providers and would significantly improve the developer experience for customers who manage network security programmatically.

As a business owner, I am seeking a system that can facilitate risk level scoring for each RMA (Return Merchandise Authorization) and enable my staff to input risk assessment findings based on actual RMA inspections. This system will enable us to assess risk levels effectively and respond accordingly. Moreover, the system will allow for the reporting of any detected fraud instances.   Implementing this system is crucial for mitigating fraud occurrences, as well as proactively preventing future fraudulent activities. Such measures are instrumental in safeguarding my business's profitability in the long term.

Can we have a way to export the report of the notifications? So for example, I would love to be able to export the list of people who had bounced emails for our shipping notifications or even to export the list of folks who did not open the message. 

The current capability features a static returns approval notification. There are instances where the approval notification should be customized before being sent to the customer. Currently, the only way of doing this is to change the approval notification for all returns, save, go back to the RMA in question, approve it with the new notification, make sure no other returns are approved, go back to the nofication and amend it to how it was prior and save.   Use case: there may be a specific product that is available for exchange in store, this needs to be checked with the store first so cannot be a hard rule. If the approval notification could be amended on an adhoc basis, you could give the customer the option at the point of approval and avoid back and forth via email.

While using personalization, I want to understand the actual product results generated by these algorithms and the reason behind the chosen product displays for shoppers.   If I can preview the recommendation results in the admin, it would reduce uncertainty, ensure optimal outcomes, and improve my marketing strategies to boost conversions.

The website is in dutch but then after login, the portal is in english.

Hi, The data when the shipment is created at the carrier is important for shipment analysis. Example:  Info received   Shipment information received DHL Express Mar 25, 2025 at 12:01 pm