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Requesting to provide an option for the end consumers to edit the review on the AfterShip tracking page after the product is being delivered.    Currently, the customers are able to leave the review but unable to edit them. 

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.

Honestly, this would help us to ease our shoppers through possible delays proactively.

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.

There is a massive discrepancy between the notificaiton customization capabilities within the Tracking module and the Returns module.  In the Returns module, all you can do is update the messaging. There is no ability to alter colours, add logos, images, or otherwise truly 'brand' the notifications.  All of this exists in the Tracking module.  Recommendation is that you port over the same functionality into the Returns module ASAP.  Those notification emails are currently a horrific customer experience.

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.

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.

It would be useful to have a Sku column amognst the list when editing the returns dashboard. The image of the item is useful but often the item is enclosed in a boxed which is marked with the sku. Therefore at first glance, the sku is seen before the physical item.

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?

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.