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The current capability features a static returns approval notification. There are instances where the approval notification should be customized before being sent to the customer. Currently, the only way of doing this is to change the approval notification for all returns, save, go back to the RMA in question, approve it with the new notification, make sure no other returns are approved, go back to the nofication and amend it to how it was prior and save.   Use case: there may be a specific product that is available for exchange in store, this needs to be checked with the store first so cannot be a hard rule. If the approval notification could be amended on an adhoc basis, you could give the customer the option at the point of approval and avoid back and forth via email.

I am utilizing Smile to develop the Reward program for our business. This year, I aim to motivate members to increase their reviews by integrating Reviews into the reward system as bonus incentives. This will allow our members to accumulate extra points by sharing feedback for their purchases.

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

I want all orders over $30 to show a shipping fee of only $2, because this is subsidized by TikTok.

When a warranty is approved, you can choose to include an label. In the “Warranty claim approved” email, there is no ability to account for this decision. We would need to add an ability to have wording around a label being included as well as a label not being included. Below is an example email we have now.   Two ways this could be addressed: 1. Split this notification into 2 notifications: “Warranty claim approved - with label” and “Warranty claim approved - no label”. 2. Add Flows to Warranties with Split functionality for generated labels.

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

When exporting, it would be handy if there was a third Data Format option.  In addition to Standard and Custom, something like “Same as current display” or something like that.  An option that would create the csv or xlsx file with the same columns in the same order that are displayed in the current view on the web page. I find myself adding or removing columns in the dashboard in order to see what I want to look at but, if I want to then export it, I need to either recreate the view again in the export wizard (which isn’t always even possible) or export it standard and move stuff around in excel. 

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.

We'd like the ability to restrict which order-editing options are available on a per-country basis, rather than applying the same set of options globally.   Many merchants work with regional checkout or fulfillment partners (e.g. Global-E) that prohibit certain order changes after an order is placed in specific countries. For example, a merchant might need to limit editing to only "apply discount code" and "cancel order" for a subset of countries, while keeping the full set of editing options available everywhere else.   Being able to configure order-editing permissions by country/region would help merchants stay compliant with regional partner restrictions without giving up flexibility in other markets.

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.