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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.

Add the ability to upload a separate images for desktop and mobile header logos. An example of the what the UI could like like is below. Returns > Customizations > Returns page    

In Shopify, merchants cannot identify which orders were combined in TTS. This will increase the risk of merchants repeatedly fulfil the same order items.   To address this issue proactively, I would recommend that we introduce a hint or tag within Shopify to alert merchants about combined orders, thus avoid this situation from happening.

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.

The vendor/supplier's email should be copied when sending any type of response to the customer regarding a return.  This includes the RMA confirmation of return, tracking label and when it is received, refunded and resolved.   We/supplier are getting chargebacks through Shopify from customers stating that their returns are not refunded in a timely manner and we have no way to get the email to show that it was processed in Aftership and to dispute a chargeback with shopify.   We have no copies sent to us.   Please fix this issue in Aftership/Shopify immediately.  Thank you. 

I hope to insert a form in the email, allowing customers to fill out the form directly within the email.   For example, if there are some events or new product launches, I would like to invite users to participate and collect information on whether they are interested or not.

we provide return shipping label after approving the return request. Our product contains hazarious material, which should be shipped with hazmat label. Aftership doesn't grant the api access of selecting the Hazmat label when auto-generating return shipping label Please fix it

The same videos are displayed to shoppers on my collection page or recommendation widgets. I want greater exposure to alternative products and videos, but selecting which ones to display and updating them regularly feels overwhelming.   Furthermore, testing to determine which video garners the most traffic is even more challenging. I have no idea if my efforts will result in sales. If only there is a tool could help!

We would love to be able to see the return comment information our customers provide when returning items within the return reports we download. Our customers are using the comment box to describe the return reason in depth but this information is lost when it comes to dowloading the return reports.

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.