Share your ideas with us

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 would find it very useful if I could pull the SMS communication metadata using an API. Currently it is only available as a download from the portal which makes automation impossible.

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.

When exchanging a product, you have to pick from a list of products, sorted by the most recently created products. There's no search facility. This is particularly problematic when you have an old sku that comes in every season and it is buried deep in the list

Currently, I can only choose from 3 resolution options in Warranty admin: Repair item, Replace item & Other. At the end of the day, I need to manually export a list of Warranty claims and see how many store credit resolutions were recorded. (By using the “Other” option with a note.) This process is very time-consuming and inefficient.    It would be very helpful if a direct "issue store credit" feature were integrated, potentially automating the process across platforms like Shopify.

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

As a loyal Aftership customer, I am extremely disappointed to learn that integrating a new carrier requires an additional fee—a neither transparent nor customer-friendly policy. Carrier expansion should be a standard improvement to Aftership’s platform, not an extra cost passed onto paying customers. Why This Needs to Change: Improving Aftership Should Be Your Priority, Not an Upsell Adding new carriers benefits all Aftership users. Expanding carrier integrations should be part of Aftership’s ongoing development efforts, not a hidden fee imposed on individual customers. Hidden Costs Undermine Customer Trust Nowhere in Aftership’s pricing model is it clearly stated that carrier integration comes with additional fees. This lack of transparency frustrates users and creates an unexpected financial burden. Loyal Customers Deserve Better Customers who have trusted Aftership for their business operations should not have to pay extra to access a fundamental feature like carrier support. Proposed Solution: Aftership should eliminate extra fees for new carrier integrations and invest in expanding its platform instead of charging individual users. This would be part of its commitment to improving service for all customers. Clear, upfront disclosure of costs should be required if Aftership maintains this fee structure. If Aftership truly values its customers, this change must ensure a fair, transparent, and customer-centric experience.

Related to BOPIS Track - set a Pickup deadline date and use it as a Merge Tag on Notifications.   Ideally, set a date and time expiration date so the end consumer know when they need to pick up their order. If the end consumer doesn't pick up their package before the expiration date, then cancel the order, notify the client and possibly refund the end consumer.

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.

Currently it's possible to view returns analytics only per 1 store at a time. It would be great to be able to select multiple stores and have a consolidated view on returns.