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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 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.

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.

I was just tracking my packages and thought of something and was like man I wish there would be different layouts or sorting options. Like if I could sort it by ETD Dates, etc rather than just having them all listed and me doing the mental math of 3 days from now would be Friday, etc. Since of our would be able to be listed by delivery date I would know what packages I need to be on the lookout for that day at an early glance.

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.

Currently OTD report, reports the complete journey so the avereage time can fluctuate based on how long it takes for customers to collect their order.  We need to report on the carrier performance and then the time it takes to collect.  It would be good to have  a PUDO report that breaks down : average transit time to collection point   Average time waiting for collection    If we expand our PUDO options in Europe it would be a good indication 

Enhance Aftership’s functionality by integrating with Royal Mail, one of the leading postal services in the UK. This integration would allow users to track shipments directly through Aftership, providing seamless tracking updates, improved user experience, and broader carrier support. This feature would be particularly valuable for e-commerce businesses that frequently use Royal Mail for deliveries.

In our business we refund direcly in Shopify for our returns that are made from our online website. It would be nice if the status of Shopify shows refunded or partically refund that Aftership would show the return as resolved. Some of the tracking information has to be put in manaully and we have multiple people on our team and if they do not do it correctly our customers receive emails that their return was not send and is expiring when they have already been refunded. 

When I receive tracking from suppliers, I add manually to AfterShip.  Usually there's more than 1 tracking number, for the same courier, so it would be great to able to add multiple tracking numbers at the same time as comma separated.   When clicking Save, it would then use all the information entered, for example; Customer name, order number etc etc.   Below example for tracking number 123456789 and 987654321  

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.