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There is a massive discrepancy between the notificaiton customization capabilities within the Tracking module and the Returns module.  In the Returns module, all you can do is update the messaging. There is no ability to alter colours, add logos, images, or otherwise truly 'brand' the notifications.  All of this exists in the Tracking module.  Recommendation is that you port over the same functionality into the Returns module ASAP.  Those notification emails are currently a horrific customer experience.

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

As a merchant, I would like to charge the cost of return when the shopper chooses to replace the returned item.  aftership Returns provides Stripe checkout only for this scenario, but I don't have a Stripe account, I would like to use my Shopify checkout to charge the exchange upsell and cost of return. So that I don't have to open a Stripe checkout and manage two accounts (Shopify and Stripe checkout) at the same time.

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.

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.

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.

While using personalization, I want to understand the actual product results generated by these algorithms and the reason behind the chosen product displays for shoppers.   If I can preview the recommendation results in the admin, it would reduce uncertainty, ensure optimal outcomes, and improve my marketing strategies to boost conversions.

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

That would be great if Feed could accommodate the listing of "not-for-sale products" on TTS. This feature is newly introduced in TTS, where the product is not for sale to shoppers but will be gifted to them instead.