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

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

I am the owner of a fashion company preparing to expand my business operations in the US. I have been utilizing Aftership EDD for some time now and I'm interested in learning how to configure my EDDs to accommodate multiple locations.   Specifically, I have two separate locations in Australia and the US where identical SKUs are stocked. In cases where a particular SKU is out of stock at the US location, I would like orders to be fulfilled using available stock from the AU location as a fallback option. I am seeking guidance on integrating this specific logic into my EDD settings.

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.

We would love to be able to see the return comment information our customers provide when returning items within the return reports we download. Our customers are using the comment box to describe the return reason in depth but this information is lost when it comes to dowloading the return reports.

Hi AfterShip Community, Context: I run a small Shopify store (~50 orders/month) using AfterShip’s free plan to track shipments (USPS, UPS). While the free plan offers basic tracking (Web:10), there’s no way to analyze tracking page performance (e.g., visitor clicks, engagement) without upgrading to premium plans, which can be costly for small businesses (Web:18). Issue: Small merchants lack access to basic analytics on the free plan to understand how customers interact with tracking pages, limiting optimization efforts. Outcome: I propose a lightweight analytics dashboard in the free plan, showing metrics like tracking page visits and click-through rates (e.g., to return portals). This would help optimize post-purchase experiences without needing a paid plan. Beneficiaries: Small e-commerce businesses, startups, and solo entrepreneurs using the free plan would gain insights to improve customer engagement and retention. What do you think? Any similar needs or suggestions to refine this idea?

It would be really useful to see how often the Gift Tracking Page is actually being used, separately from the regular tracking page. At the moment, it’s hard to tell uptake or performance unless the page has a unique URL or rely on Google Analytics. Having native reporting in AfterShip would make this much easier. Ideally this would show: - Views and unique visitors for the gift tracking page - How it compares to the standard tracking page - Basic engagement (e.g. CTA clicks) This would help merchants understand adoption and value of the gifting feature much more clearly.

As a user, I'd like the ability to pull in tracking numbers to my dashboard by parcel account number so that I can view all shipments assigned to a specific or multiple parcel accounts.   For example I have 10 parcel accounts (4 with DHL and 6 with FedEx). I'd like the ability to utilize the parcel account number(s) instead of the API to pull in tracking associated with my parcel accounts.

The ability to see how much it cost per tracking label for the carrier, alongside all the other analytics would be beneficial to business operations.   Having “cost” as a piece of data collect and display in analytics will help us make larger business decisions when it comes to choice of carrier preferences to know which carrier is best to work with in the long run. I believe this feature will be great value add to Aftership as well!

When utilizing an HTML email editor, I aim to display and personalize shipment or order items within my tracking notifications.   This feature would allow shoppers to conveniently view their purchases directly in the email, thereby improving customer satisfaction.