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I was just tracking my packages and thought of something and was like man I wish there would be different layouts or sorting options. Like if I could sort it by ETD Dates, etc rather than just having them all listed and me doing the mental math of 3 days from now would be Friday, etc. Since of our would be able to be listed by delivery date I would know what packages I need to be on the lookout for that day at an early glance.

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?

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

To enhance the shipping experience for customers purchasing hair extensions or hair care products, AfterShip could focus on providing real-time tracking updates that are both detailed and easy to understand. For the hair industry, ensuring timely delivery is critical, as customers expect to receive their products in a timely manner, especially for events like weddings, parties, or other special occasions. Additionally, offering automated notifications at each stage of the shipping process — from dispatch to in-transit updates and delivery confirmation — would allow customers to stay informed and reduce anxiety around the arrival of their products. A specific feature that would be beneficial in the hair industry is providing an estimated delivery window based on the type of hair products purchased, considering how delicate and time-sensitive hair products can be. Another improvement could be offering customized delivery options, like express shipping for urgent orders or delivery tracking tailored to customers’ needs based on their location, enhancing convenience and customer experience. By integrating these features, AfterShip could help ensure a seamless experience for customers in the hair industry, driving satisfaction and repeat business.

The “Back” button on the RC portal is not obvious or prominent enough. It is too hard to find and blends into the page. 

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.

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. 

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.

I am the owner of a fashion company preparing to expand my business operations in the US. I have been utilizing Aftership EDD for some time now and I'm interested in learning how to configure my EDDs to accommodate multiple locations.   Specifically, I have two separate locations in Australia and the US where identical SKUs are stocked. In cases where a particular SKU is out of stock at the US location, I would like orders to be fulfilled using available stock from the AU location as a fallback option. I am seeking guidance on integrating this specific logic into my EDD settings.

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.