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For the tracking page I am currently using, it would be great to have the Delivery Instructions feature, so that my customers can provide specific instructions to carriers, and ensure successful deliveries.   This feature will also be valuable for drivers who can have all the necessary information at their fingertips, even for dispatchers who can manage delivery more effectively with all that info.   A seamless last-mile delivery experience can create a sense of reliability and convenience that fosters long-term customer relationships and encourages repeat purchases for my brand.

Currently, AfterShip's webhook outgoing IP list is only available on an HTML documentation page (https://www.aftership.com/docs/tracking/webhook/webhook-outgoing-ips). This makes it impossible to automate IP allowlist management in infrastructure-as-code (IaC) workflows.   Problem: Teams that use IP-based firewalls to secure their webhook endpoints must manually monitor the documentation page for any IP changes and update their firewall rules accordingly. If a change is missed, it can cause webhook delivery failures and broken integrations.   Request: Please publish the webhook outgoing IP list as a dedicated plain-text endpoint — similar to how Cloudflare publishes theirs at https://www.cloudflare.com/ips-v4 — where each IP is returned on a separate line.   This would allow teams to: * Fetch the IP list programmatically as part of their CI/CD or IaC pipelines * Keep firewall allowlists automatically in sync without manual intervention * Avoid service disruptions caused by missed IP changes This is a standard practice among major API providers and would significantly improve the developer experience for customers who manage network security programmatically.

In our business we refund direcly in Shopify for our returns that are made from our online website. It would be nice if the status of Shopify shows refunded or partically refund that Aftership would show the return as resolved. Some of the tracking information has to be put in manaully and we have multiple people on our team and if they do not do it correctly our customers receive emails that their return was not send and is expiring when they have already been refunded. 

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 merchant, I would like to charge the cost of return when the shopper chooses to replace the returned item.  aftership Returns provides Stripe checkout only for this scenario, but I don't have a Stripe account, I would like to use my Shopify checkout to charge the exchange upsell and cost of return. So that I don't have to open a Stripe checkout and manage two accounts (Shopify and Stripe checkout) at the same time.

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.

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.

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.

I hope to insert a form in the email, allowing customers to fill out the form directly within the email.   For example, if there are some events or new product launches, I would like to invite users to participate and collect information on whether they are interested or not.

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