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Expose an REST API for creating Warranty Claims.

Would like to be able to filter the shipping exceptions so I only receive ones for damages. Especially after a club run, we can receive many notices for delivery exceptions which can include delays, intercepts, etc. However, the ones we would primarily like to receive are for damages. we would like to catch these before the customer reaches out to let us know or from the return report.

It would be really useful to see how often the Gift Tracking Page is actually being used, separately from the regular tracking page. At the moment, it’s hard to tell uptake or performance unless the page has a unique URL or rely on Google Analytics. Having native reporting in AfterShip would make this much easier. Ideally this would show: - Views and unique visitors for the gift tracking page - How it compares to the standard tracking page - Basic engagement (e.g. CTA clicks) This would help merchants understand adoption and value of the gifting feature much more clearly.

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.

I have had customers who have accidently unsubscribed themselves from receiving AfterShip emails. I can see them in the Unsubscribe list, but I cannot remove them. Please add a feature that would allow AfterShip administrators to remove emails from the Unsubscribe list. Currently this process has to be done by the AfterShip tech team. By making this a self-service feature, you will reduce the labor required by the AfterShip team and make the product more efficient.

Would you be able to: 1. Add a functionality that restricts order views based on a ship from location or/or login? We have multiple ship from locations and we are 100% manula orders; it creates confusion when one warehouse sees orders from another warehouse.  2. Have a ship to address book and have that be varied based on ship from locations. We have set ship to locations and it doesnt change often. 

we provide return shipping label after approving the return request. Our product contains hazarious material, which should be shipped with hazmat label. Aftership doesn't grant the api access of selecting the Hazmat label when auto-generating return shipping label Please fix it

1. What is the context?  * We are currently a Premium plan subscriber operating a high-volume merchant shipping 68% of our Canadian orders via GLS Canada. We are looking to utilize the Enhanced MPS Visibility feature to improve our customer experience.   * Currently, your documentation lists carriers like FedEx, UPS, and DHL as supported for MPS, but GLS Canada is excluded. When we contacted support, we were told this is due to "carrier limitations.   2. What issue do you want to address? We believe the "carrier limitation" rationale may be outdated or incorrect because AfterShip is already successfully pulling data for GLS child packages. * Evidence: On GLS Canada tracking number P97186751, AfterShip retrieves events for both Package 1 (Delivered Nov 21) and Package 2 (Delivered Nov 19). * The Problem: Because GLS Canada is not on your "Supported Carriers" list for MPS logic, your system aggregates these distinct events into a single "scrambled" timeline instead of separating them into tabs. * The Gap: The data exists in your system; the parsing logic to separate "Master" vs. "Child" is simply missing for this specific carrier. 3. What outcome do you expect? * We request that the product team add GLS Canada to the Enhanced MPS Visibility supported carrier list * We need the system to recognize the child packages it is already detecting and display them in separate tabs (Piece 1, Piece 2), just as it does for FedEx or UPS.   4. Who will benefit from your idea? * Merchants: This allows Canadian merchants to use your Enterprise MPS features for their dominant carrier, reducing support tickets regarding "confusing" status updates. * AfterShip: It improves the value of your Enterprise plan for the Canadian market by supporting the region's major logistics provider.

Compared to AfterShip Tracking, Returns currently lacks key customization capabilities: * No page segmentation (by market, country, store, customer type, etc.) * No way to associate a return with a specific store * No configurable notification flows based on return status or parameters The absence of these settings significantly limits customization for clients and prevents them from offering tailored return experiences. Suggestion: Introduce advanced configuration options similar to Tracking, including: * Segmented return pages based on defined parameters * Store-level return association and rules * Conditional notification flows triggered by return events and attributes These improvements would greatly enhance flexibility, customer experience, and alignment across the AfterShip product suite.

So, as a seller who often runs campaigns, I would love to have a cool discount setup that can be customized based on how customers behave.   For example, I could keep discounts hidden for shoppers with shopping carts over $1,000 but display them for those who have smaller carts, so that they would shop more to get a better discount.   This strategy can be effectively applied to our product recommendations, enhancing conversion rates and boosting average order values.