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GM is there a way to close an exception order rather than a total delete?

In our business we refund direcly in Shopify for our returns that are made from our online website. It would be nice if the status of Shopify shows refunded or partically refund that Aftership would show the return as resolved. Some of the tracking information has to be put in manaully and we have multiple people on our team and if they do not do it correctly our customers receive emails that their return was not send and is expiring when they have already been refunded. 

Expose an REST API for creating Warranty Claims.

Brand noted they’d like to be able to clearly communicate why certain Products are on the Blocklist - instead of the general text we have in place, without specifically making the customer review the Policy as a whole. Asking if we could define the error at the Blocklist Product Tag entry level. If the value is left blank, use default content.   Current state: After end consumer logs in with Order, non returnable items are greyed and out and we show at the line level a message that states "Does not comply with our return policy."   Desired State: After end consumer logs in with Order, non returnable items are greyed and out and we show at the line level a message from a configurable setting within RC where we can pass SKU or Product Category specific messages that state why an item is nt returnable like "Digital Goods are not returnable" or "Bundled Item cannot be returned" or "Last years models are not returnable but warranty available".   We'd like to be able to configure our own blocklist message for order item display when the end consumer logs into RC.

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.

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.

It would be great if you could automate sending out the shipment tracking dashboard, and allow filters for that report, lijke the analysis report.  This enbales us to send the report to customers and others in our team as a live snapshot of their shipments. It consolidates all their shipments into one view so they don't have to track them individually each day. 

For the tracking page I am currently using, it would be great to have the Delivery Instructions feature, so that my customers can provide specific instructions to carriers, and ensure successful deliveries.   This feature will also be valuable for drivers who can have all the necessary information at their fingertips, even for dispatchers who can manage delivery more effectively with all that info.   A seamless last-mile delivery experience can create a sense of reliability and convenience that fosters long-term customer relationships and encourages repeat purchases for my brand.

im trying to figure out how to connect my store Discreet Life to shopify to get this app going. Thanks!

As a retailer, it would be great if customer preferences can be collected and determine whether to send an SMS notification based on the subscription status synchronized via API.   Moreover, a customer-facing page that allows users to manage their preferences would be even better. We would love to communicate more with our shoppers, which will efficiently improve our customer satisfaction and brand reputation.