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I would find it very useful if I could pull the SMS communication metadata using an API. Currently it is only available as a download from the portal which makes automation impossible.

The vendor/supplier's email should be copied when sending any type of response to the customer regarding a return.  This includes the RMA confirmation of return, tracking label and when it is received, refunded and resolved.   We/supplier are getting chargebacks through Shopify from customers stating that their returns are not refunded in a timely manner and we have no way to get the email to show that it was processed in Aftership and to dispute a chargeback with shopify.   We have no copies sent to us.   Please fix this issue in Aftership/Shopify immediately.  Thank you. 

As a merchant, I would like to break down the shipping volume report by Carrier and Lane. Currently, it can be broken down by only one condition.   This would allow us to understand how a carrier is performing in a specific market.

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?

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. 

it would be great to be able to manually add a placeholder delivery in order to keep track of my deliveries.

The same videos are displayed to shoppers on my collection page or recommendation widgets. I want greater exposure to alternative products and videos, but selecting which ones to display and updating them regularly feels overwhelming.   Furthermore, testing to determine which video garners the most traffic is even more challenging. I have no idea if my efforts will result in sales. If only there is a tool could help!

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.

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.