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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.

To enhance the shipping experience for customers purchasing hair extensions or hair care products, AfterShip could focus on providing real-time tracking updates that are both detailed and easy to understand. For the hair industry, ensuring timely delivery is critical, as customers expect to receive their products in a timely manner, especially for events like weddings, parties, or other special occasions. Additionally, offering automated notifications at each stage of the shipping process — from dispatch to in-transit updates and delivery confirmation — would allow customers to stay informed and reduce anxiety around the arrival of their products. A specific feature that would be beneficial in the hair industry is providing an estimated delivery window based on the type of hair products purchased, considering how delicate and time-sensitive hair products can be. Another improvement could be offering customized delivery options, like express shipping for urgent orders or delivery tracking tailored to customers’ needs based on their location, enhancing convenience and customer experience. By integrating these features, AfterShip could help ensure a seamless experience for customers in the hair industry, driving satisfaction and repeat business.

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. 

Consider leveraging Estimated Delivery Dates for Return Shipments as a column on the Returns Dashboard

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.

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

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.

Can we have a way to export the report of the notifications? So for example, I would love to be able to export the list of people who had bounced emails for our shipping notifications or even to export the list of folks who did not open the message. 

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.

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