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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.

Title: Feature request: Claude MCP connector for AfterShip Returns AfterShip Returns should offer an official Claude MCP connector. Claude already connects to Shopify, Gmail, Slack, and Google Drive, so many merchants run their daily operations through it. Returns data is the missing piece. Without a connector, teams still have to open the portal, find the return, and copy details into customer replies or reports by hand. A connector would make it possible to ask questions like: “What’s the status of the return on order #1234?” “Which returns from last week haven’t been refunded yet?” “What are the top return reasons this month?” “Which SKUs have the highest return rate?” Why it should be added: Faster customer service. “Where’s my refund?” emails could be answered in seconds using live return data. Fewer errors. Order numbers, tracking, and refund amounts would come straight from AfterShip instead of being copied manually. More accessible reporting. Small teams without a dedicated analyst could get insight from return data in plain language. A connected workflow. Returns would link up with the order, email, and team tools merchants already use with Claude. Keeps AfterShip central. As more operations move through AI assistants, the platforms that connect to them become the ones merchants depend on. Read-only access would be a strong starting point: return lookups, statuses, reasons, and refund/exchange outcomes. Actions like approving or rejecting requests could follow later, with confirmation steps built in.

The problem: We can't process a return without the item's serial number, and many merchants selling electronics, equipment or warranty-backed products are in the same position. The only option today is to make comments required on every return reason. Customers can type anything to get past it, so our team still has to chase missing or wrong serial numbers by hand, which slows down refunds for everyone. The request: Let merchants add custom fields for each item on the returns page, with: The option to make a field required before the return can be submitted Why it matters: Correct information at the point of submission means fewer bad returns, less admin, quicker refunds and happier customers. It also makes AfterShip Returns a better fit for any brand that tracks returns by serial number, IMEI or batch code.

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.

Support setting the total number of emails that can be sent by each contact within a certain period of time (frequency), including flows and newsletters.   I aim to reduce interruptions for my customers while still capturing important messages, which is why I am seeking more flexibility in the configurations.

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.

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

That would be great if Feed could accommodate the listing of "not-for-sale products" on TTS. This feature is newly introduced in TTS, where the product is not for sale to shoppers but will be gifted to them instead.

As a retailer, it would be great if customer preferences can be collected and determine whether to send an SMS notification based on the subscription status synchronized via API.   Moreover, a customer-facing page that allows users to manage their preferences would be even better. We would love to communicate more with our shoppers, which will efficiently improve our customer satisfaction and brand reputation.

GM is there a way to close an exception order rather than a total delete?