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We use this to ship to clients it would be nice if we could save clients within the system to send notifications to. 

Currently the aftership is one way communication making it diffucult for business to see integrated full status at one place again when customer login to their shopify page they see status of item still on the way as shopify stops at fullfilled stge. Though the track order option by Aftership is good it is still a bad customer experience.

Honestly, this would help us to ease our shoppers through possible delays proactively.

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.

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. 

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.

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, I hope you can include a column where users can also see "WHEN" the order arrived in customs clearance and "WHEN" it was released. I am referring to ALL orders, not just the delayed orders.

Would like to be able to filter the shipping exceptions so I only receive ones for damages. Especially after a club run, we can receive many notices for delivery exceptions which can include delays, intercepts, etc. However, the ones we would primarily like to receive are for damages. we would like to catch these before the customer reaches out to let us know or from the return report.

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.