Share your ideas with us

The website is in dutch but then after login, the portal is in english.

When exporting, it would be handy if there was a third Data Format option.  In addition to Standard and Custom, something like “Same as current display” or something like that.  An option that would create the csv or xlsx file with the same columns in the same order that are displayed in the current view on the web page. I find myself adding or removing columns in the dashboard in order to see what I want to look at but, if I want to then export it, I need to either recreate the view again in the export wizard (which isn’t always even possible) or export it standard and move stuff around in excel. 

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.

In Shopify, merchants cannot identify which orders were combined in TTS. This will increase the risk of merchants repeatedly fulfil the same order items.   To address this issue proactively, I would recommend that we introduce a hint or tag within Shopify to alert merchants about combined orders, thus avoid this situation from happening.

Scenarios 1. We give a customer a partial refund for a coupon code they forgot to enter. This partial refund is currently stopping the customer and us from being able to request a return in Aftership. Please allow an option to make RMA or override in this scenario. 2. (similar to #1) Customer orders multiple items, gets RMA for one item, returns it and is refunded. Now they want to return the other item, however, because there is a refund in Shopify we are not able to open a RMA for the other item because the order shows as returned. Please allow option to make RMA or override in this scenario.  Thank you

Please add the shipping company ACI EXPRESS, which is based in South Korea. They have partnerships with multiple overseas shipping companies, and a lot of merchandise is being shipped through ACI Express to the USA and the Middle East, especially after the implementation of tariffs in the USA.

Our warehouse needs to know how many returns were requested on a daily basis so they can plan their resources accordingly. but it is not an option for now. It would be nice if we could build our own reports and schedule it. 

Enable merchants to customize the duration before an RMA is automatically canceled. Currently, the system only allows for auto-cancellation after 28 days of inactivity. To better suit our company's needs, we would like the option to extend this period.

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.

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.