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Expose an REST API for creating Warranty Claims.

As a retailer, it would be great if customer preferences can be collected and determine whether to send an SMS notification based on the subscription status synchronized via API.   Moreover, a customer-facing page that allows users to manage their preferences would be even better. We would love to communicate more with our shoppers, which will efficiently improve our customer satisfaction and brand reputation.

When utilizing an HTML email editor, I aim to display and personalize shipment or order items within my tracking notifications.   This feature would allow shoppers to conveniently view their purchases directly in the email, thereby improving customer satisfaction.

Show all packages to a us zip code

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.

Brand noted they’d like to be able to clearly communicate why certain Products are on the Blocklist - instead of the general text we have in place, without specifically making the customer review the Policy as a whole. Asking if we could define the error at the Blocklist Product Tag entry level. If the value is left blank, use default content.   Current state: After end consumer logs in with Order, non returnable items are greyed and out and we show at the line level a message that states "Does not comply with our return policy."   Desired State: After end consumer logs in with Order, non returnable items are greyed and out and we show at the line level a message from a configurable setting within RC where we can pass SKU or Product Category specific messages that state why an item is nt returnable like "Digital Goods are not returnable" or "Bundled Item cannot be returned" or "Last years models are not returnable but warranty available".   We'd like to be able to configure our own blocklist message for order item display when the end consumer logs into RC.

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.

There's quite a few couriers where the 'View on Carrier Website' doesn't take you directly to the trracking page, and instead requires you to enter the tracking number.  These can be easily fixed by correcting the URL.   For example, for Cainiao the link takes you to; https://global.cainiao.com/   This needs correcting to; https://global.cainiao.com/newDetail.htm?mailNoList=   Please submit any further examples below.

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

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.