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It would be very helpful if customers could select their preferred size during the exchange process, with real-time visibility of stock availability on the website. For example, when a customer initiates an exchange, the system should show whether the requested size is currently in stock. If the size is unavailable, it should display “Sold Out” instead of allowing the exchange to proceed. This feature would prevent unnecessary back-and-forth communication, improve customer experience, and reduce manual handling for merchants. Platforms like Revolve already offer this type of functionality, and it would be an excellent addition to AfterShip Returns.

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?

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.

We want the feature for referral program page through which we can dedicated referr to the customers and one affiliate program for our influencer through which they can track their progress and commisions. 

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 would like to include the RMA number barcode on the returns label. This way, upon receiving the returns label at my warehouse, I can simply scan the barcode to retrieve the RMA number. Subsequently, I can use this number to efficiently locate the corresponding RMA information within the returns system. This process will significantly enhance the operational efficiency of our RMA procedures.

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.

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

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.

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.