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If you are working with many different returns in one day, there needs to be a quick way to copy information like in Shopify as example. Please reference the far right side of this image:

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?

Related to BOPIS Track - set a Pickup deadline date and use it as a Merge Tag on Notifications.   Ideally, set a date and time expiration date so the end consumer know when they need to pick up their order. If the end consumer doesn't pick up their package before the expiration date, then cancel the order, notify the client and possibly refund the end consumer.

Most major carriers already provide an estimated delivery date/time as part of their tracking data, but this isn't currently surfaced in the app. Context: Customers tracking a shipment want to know when it will arrive, not just its current status. Right now they have to infer this themselves or check the carrier's own site separately. Issue to address: Add a field that displays the carrier's estimated delivery date (and time window, where the carrier provides one) on the tracking/order page. This would reduce "where is my order" support inquiries and improve the post-purchase experience. Suggestion: Pull the estimated delivery data from carriers that already expose it via their APIs, and display it prominently near the shipment status.

It would be incredibly helpful if there was a way to export the shipping data from the phone app. It would be extremely simple and improve the apps usefuleness.    It would also be incredibly helpful if there was a way to have the phone app on the computer. I know the browser version is different and designed for merchants while the phone app is designed for recipients. But, it would be easy to create a aftership.com/recipients version of the app on the computer that just syncs the shipments across devices. 

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. 

Change the update indicator Dot from the light blue color to the orange color you already use in your iOS app. It is hard to pick out the dot if you have a long list of shipments. If it was the orange color you already use in the app it should be a simple change to make for an updated version. Also so carriers on the list of carriers to pick from are now asking for receiving zip, so those carriers never update now.  Thanks

Currently OTD report, reports the complete journey so the avereage time can fluctuate based on how long it takes for customers to collect their order.  We need to report on the carrier performance and then the time it takes to collect.  It would be good to have  a PUDO report that breaks down : average transit time to collection point   Average time waiting for collection    If we expand our PUDO options in Europe it would be a good indication 

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.

We want to refer to the customer's username when packing the order. Right now, to do this, we need to download the tiktok orders, connect them to the shopify order number via the tiktok order in the notes field and then connect that to the order number in shipbob.   If we had the username in shopify, we could eliminate the step where we have to connect tiktok to shopify.