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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

Good morning, I kindly ask you to enable the option to change the font, font size, colour, etc., for the “address” field within the footer of notification emails. Currently, this is the only field that cannot be customised, which creates a noticeable contrast between the main text in the body and this field, making the emails aesthetically unappealing. Thank you.

I see that Aftership is already having public api end points available for tracking and returns. i would like to have similar one for reviews.

The “Back” button on the RC portal is not obvious or prominent enough. It is too hard to find and blends into the page. 

Some customers enter +1 before their phone number when requesting a return or exchange. This causes the shipping label to fail to generate and creates frustration for the customer and extra work for me. I would like the system to correct the phone number to allow successful label generation.

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.

Perhaps with Aftership Reviews, we could set a custom rule where if the transit time is exceeds X days, the platform won't initiate reviews.

It would be very helpful to have an option to group orders by store/company name (e.g., all Amazon orders together, all eBay orders together, etc.). This way, I could collapse or expand groups and quickly view only the orders I want. Additionally, it would be great if users could create their own custom groups for even more flexibility.

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.

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.