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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.

We want to refer to the customer's username when packing the order. Right now, to do this, we need to download the tiktok orders, connect them to the shopify order number via the tiktok order in the notes field and then connect that to the order number in shipbob.   If we had the username in shopify, we could eliminate the step where we have to connect tiktok to shopify.

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!

When I receive tracking from suppliers, I add manually to AfterShip.  Usually there's more than 1 tracking number, for the same courier, so it would be great to able to add multiple tracking numbers at the same time as comma separated.   When clicking Save, it would then use all the information entered, for example; Customer name, order number etc etc.   Below example for tracking number 123456789 and 987654321  

Compared to AfterShip Tracking, Returns currently lacks key customization capabilities: * No page segmentation (by market, country, store, customer type, etc.) * No way to associate a return with a specific store * No configurable notification flows based on return status or parameters The absence of these settings significantly limits customization for clients and prevents them from offering tailored return experiences. Suggestion: Introduce advanced configuration options similar to Tracking, including: * Segmented return pages based on defined parameters * Store-level return association and rules * Conditional notification flows triggered by return events and attributes These improvements would greatly enhance flexibility, customer experience, and alignment across the AfterShip product suite.

When a warranty is approved, you can choose to include an label. In the “Warranty claim approved” email, there is no ability to account for this decision. We would need to add an ability to have wording around a label being included as well as a label not being included. Below is an example email we have now.   Two ways this could be addressed: 1. Split this notification into 2 notifications: “Warranty claim approved - with label” and “Warranty claim approved - no label”. 2. Add Flows to Warranties with Split functionality for generated labels.

We would love to be able to see the return comment information our customers provide when returning items within the return reports we download. Our customers are using the comment box to describe the return reason in depth but this information is lost when it comes to dowloading the return reports.

Allow me to still refund if I choose even if the return request has expired. Now I have to recreate the return request making more work for me.

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.

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?