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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?

I want to be able to mask certain words such as 'flight'and ''import'', or ''customs''. As for EU customers this is not relevant infromation and they faster think goods are from china and want to return faster. When they see basic info and a EDD they are assured everything is good. They dont neem more info.

When exchanging a product, you have to pick from a list of products, sorted by the most recently created products. There's no search facility. This is particularly problematic when you have an old sku that comes in every season and it is buried deep in the list

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.

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.

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.

Perhaps with Aftership Reviews, we could set a custom rule where if the transit time is exceeds X days, the platform won't initiate reviews.

im trying to figure out how to connect my store Discreet Life to shopify to get this app going. Thanks!

Titles should update with count of items in the section so you know it's updating and should be clicked on. 

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.