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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.

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.

As online shopping continues to expand, cities and businesses are looking for ways to simplify last-mile delivery. In this shift, automated parcel lockers have become a practical solution, helping reduce missed deliveries and improving convenience for both couriers and customers. Their use is steadily shaping the future of contactless and efficient package management.

We'd like the ability to restrict which order-editing options are available on a per-country basis, rather than applying the same set of options globally.   Many merchants work with regional checkout or fulfillment partners (e.g. Global-E) that prohibit certain order changes after an order is placed in specific countries. For example, a merchant might need to limit editing to only "apply discount code" and "cancel order" for a subset of countries, while keeping the full set of editing options available everywhere else.   Being able to configure order-editing permissions by country/region would help merchants stay compliant with regional partner restrictions without giving up flexibility in other markets.

While using personalization, I want to understand the actual product results generated by these algorithms and the reason behind the chosen product displays for shoppers.   If I can preview the recommendation results in the admin, it would reduce uncertainty, ensure optimal outcomes, and improve my marketing strategies to boost conversions.

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 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 the ability to display shipping reviews to front end customers/users to give them social proof and increase conversion rates. Fast, cheap, convenient and reliable delivery helps to boost conversion rates, especially when you're entering a new market and trying to build brand awareness/trust. It also helps to get customers who are used to visiting your retail stores to shift to shopping online instead of just going in to a store. Currently, shipping reviews are only available to back end users and internal teams in the aftership portal, but we want to be able to have a customisable widget that we can display on places like the homepage, PDPs, information pages like shipping & delivery info pages etc... We can pick and choose or set up rules to automate showing a handful of reviews related to the shipping customer experience.

It would be very helpful if customers could select their preferred size during the exchange process, with real-time visibility of stock availability on the website. For example, when a customer initiates an exchange, the system should show whether the requested size is currently in stock. If the size is unavailable, it should display “Sold Out” instead of allowing the exchange to proceed. This feature would prevent unnecessary back-and-forth communication, improve customer experience, and reduce manual handling for merchants. Platforms like Revolve already offer this type of functionality, and it would be an excellent addition to AfterShip Returns.

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!