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I would like to view the chart showing reasons for late shipments in the current on-time report that I am using.

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.

FedEx has master tracking numbers which can have multiple tracking numbers under 1 tracking numbers. I'd like to be able to add a group of numbers to a group, or master number, and it should be collapsable so I can open it and look at all attached tracking numbers. 

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.

As a merchant, I would like to charge the cost of return when the shopper chooses to replace the returned item.  aftership Returns provides Stripe checkout only for this scenario, but I don't have a Stripe account, I would like to use my Shopify checkout to charge the exchange upsell and cost of return. So that I don't have to open a Stripe checkout and manage two accounts (Shopify and Stripe checkout) at the same time.

Most major carriers already provide an estimated delivery date/time as part of their tracking data, but this isn't currently surfaced in the app. Context: Customers tracking a shipment want to know when it will arrive, not just its current status. Right now they have to infer this themselves or check the carrier's own site separately. Issue to address: Add a field that displays the carrier's estimated delivery date (and time window, where the carrier provides one) on the tracking/order page. This would reduce "where is my order" support inquiries and improve the post-purchase experience. Suggestion: Pull the estimated delivery data from carriers that already expose it via their APIs, and display it prominently near the shipment status.

When using the mobile App, currently shipments remain visible in the tracking list even after they have been delivered. Over time, this can make the main tracking screen feel cluttered, especially for users who receive a large number of packages. It would be very helpful to have an option to: - Archive delivered shipments manually, or - Automatically move delivered shipments to an archive after a certain period of time. This would allow users to keep their active tracking list clean and focused on packages that are still in transit, while still retaining access to past deliveries when needed.   Thank you,

Related to BOPIS Track - set a Pickup deadline date and use it as a Merge Tag on Notifications.   Ideally, set a date and time expiration date so the end consumer know when they need to pick up their order. If the end consumer doesn't pick up their package before the expiration date, then cancel the order, notify the client and possibly refund the end consumer.

Our warehouse needs to know how many returns were requested on a daily basis so they can plan their resources accordingly. but it is not an option for now. It would be nice if we could build our own reports and schedule it. 

I work in the furniture industry with thousands of products and continuous new product listings.   Consumers often inquire about variations in materials and sizes between similar pieces of furniture, placing a significant burden on my support team. Generating comparison pages for every query we receive is unfeasible due to the volume of requests.   Given the potential of AI to suggest comparable items, could it also be leveraged to pinpoint disparities among products and present these distinctions to consumers? Such a system can alleviate my workload significantly and potentially reduce bounce rates as well.