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Currently you can manually refund the shipping fee in the admin manually, but would like the ability for it to be automatic.

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.

I have had customers who have accidently unsubscribed themselves from receiving AfterShip emails. I can see them in the Unsubscribe list, but I cannot remove them. Please add a feature that would allow AfterShip administrators to remove emails from the Unsubscribe list. Currently this process has to be done by the AfterShip tech team. By making this a self-service feature, you will reduce the labor required by the AfterShip team and make the product more efficient.

I would like to view the chart showing reasons for late shipments in the current on-time report that I am using.

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

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?

For instance, customers can quickly locate reviews based on size, incorporate images and videos, consider age, product characteristics, and the reviewer's recommendation status.

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.

Fast and reliable delivery plays a vital role in customer satisfaction for heavy equipment buyers. When products arrive on time and in perfect condition, it builds trust, reduces downtime, and encourages repeat business and brand loyalty.