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Currently you can manually refund the shipping fee in the admin manually, but would like the ability for it to be automatic.

The current capability features a static returns approval notification. There are instances where the approval notification should be customized before being sent to the customer. Currently, the only way of doing this is to change the approval notification for all returns, save, go back to the RMA in question, approve it with the new notification, make sure no other returns are approved, go back to the nofication and amend it to how it was prior and save.   Use case: there may be a specific product that is available for exchange in store, this needs to be checked with the store first so cannot be a hard rule. If the approval notification could be amended on an adhoc basis, you could give the customer the option at the point of approval and avoid back and forth via email.

 I just started using the app today and overall I do like it, but I have a few minor suggestions. 1. A compact mode: right now the list of tracking numbers/packages is very spread out. Consolidating it would make it look cleaner, IMO. 2. Allow me to put tags on them, custom or otherwise. For example I have a few incoming packages and a few outgoing ones. It would be nice to add tags to differentiate them and also filter by them if needed. Hopefully that made sense. Thank you.

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 

Upload label manually from external source and link (instead of file only) Today its only possible to upload label manually through file via computer.   Hope this will change and we ca upload via external url

Integration of Sharetown to schedule pickups of items being returned. The process involves Sharetown picking up items directly from the customer's doorstep without the need for packaging. Once the items are picked up, Sharetown will resell the items through their channels and provide business with an agreed-upon gain-share payback based on the resale price.   Key Requirements: No label generation is needed as Sharetown will handle the pickup. A system integration will be needed to push the return data to Sharetown as a pickup request in their system. Sharetown will manage the logistics and resale of the items.

Items + return reasons are not clearly highlighted/shown as selected, during the Return Request flow on the RC portal.    Request: During the return flow more clearly define that an item/return resolution is selected. i.e. have text say “Selected” or have the box change colour when an item/resolution is selected beyond just the black box. 

The ability to see how much it cost per tracking label for the carrier, alongside all the other analytics would be beneficial to business operations.   Having “cost” as a piece of data collect and display in analytics will help us make larger business decisions when it comes to choice of carrier preferences to know which carrier is best to work with in the long run. I believe this feature will be great value add to Aftership as well!

It would be great if we could allow the discount to carry over to the new order if a customer is just exchanging a size, at the moment our customer is choosing to refund rather then exchange sizing because they have to pay the difference between the original discounted price and the price. 

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.