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Goal: To make it easier for customers to accurately select the correct item for return when using the return portal. Preconditions: The customer has placed an order containing multiple items, some of which may have similar or identical titles, colors, or sizes. The SKU numbers for the items exist in the system but are not currently displayed in the return portal. Trigger: The customer initiates a return and accesses the return portal to select the item(s) they wish to return. Basic Flow: The customer logs into the return portal. The portal displays the items from their order, including details such as title, color, size, and now the SKU number for each item. The customer uses the SKU number to cross-reference their order confirmation or invoice, ensuring they select the correct item for return. The customer completes the return process with confidence that the correct item has been selected. Postconditions: The customer successfully returns the correct item without confusion. The support team receives fewer inquiries about mismatched returns. Benefits: For Customers: Improved user experience by reducing confusion when selecting items for return. Greater confidence in completing returns independently. For the Business: Reduced customer support requests related to returns. Increased efficiency in processing returns, minimizing errors caused by incorrect item selection. Priority: Medium – This enhancement has a high potential to improve customer satisfaction with a relatively low implementation effort. Technical Requirements: Modify the front-end display of the return portal to include SKU numbers as part of the product details. Ensure the SKU numbers are fetched and displayed consistently across all customer orders. This use case focuses on enhancing the clarity of the return process for customers while streamlining operational efficiency for the business.

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.

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.

As a merchant, I allow shoppers to exchange items for different variants during returns, which may have different prices. For example, a Small size costs $30 while a Large size costs $50.   Currently, Shopify allows me to adjust prices manually only after the Return Merchandise Authorization (RMA) is submitted. If aftership could facilitate charging or refunding price differences for variants during the return request process, it would greatly streamline our operations and enhancing the overall efficiency of RMA management.

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 very helpful if customers could select their preferred size during the exchange process, with real-time visibility of stock availability on the website. For example, when a customer initiates an exchange, the system should show whether the requested size is currently in stock. If the size is unavailable, it should display “Sold Out” instead of allowing the exchange to proceed. This feature would prevent unnecessary back-and-forth communication, improve customer experience, and reduce manual handling for merchants. Platforms like Revolve already offer this type of functionality, and it would be an excellent addition to AfterShip Returns.

Is it possible to increase the bulk search limit from 50? We often have to peform bulk search a number of times to retrieve the data that we're looking. 

Hi there,    We’re planning to fully transition to your warranty return platform and would like to see the following improvements: * Dynamic Reference Lines on Return Shipping Labels: We’d like the option to add customizable reference lines on shipping labels. While there are default placeholders available, we need a more flexible solution to include internal notes that will help us organize returns efficiently. * Delayed Replacement Order Processing: We’d prefer the ability to process a replacement order without sending it to Shopify until the carrier marks the warranty return as “en route.” * Regex Validation for Warranty Intake Form: Adding regex validation would help us ensure inputs follow specific formats, such as order numbers or serial numbers, for better accuracy.

Would you be able to: 1. Add a functionality that restricts order views based on a ship from location or/or login? We have multiple ship from locations and we are 100% manula orders; it creates confusion when one warehouse sees orders from another warehouse.  2. Have a ship to address book and have that be varied based on ship from locations. We have set ship to locations and it doesnt change often. 

I would like to view the chart showing reasons for late shipments in the current on-time report that I am using.