Share your ideas with us

Is it possible to increase the bulk search limit from 50? We often have to peform bulk search a number of times to retrieve the data that we're looking. 

For the tracking page I am currently using, it would be great to have the Delivery Instructions feature, so that my customers can provide specific instructions to carriers, and ensure successful deliveries.   This feature will also be valuable for drivers who can have all the necessary information at their fingertips, even for dispatchers who can manage delivery more effectively with all that info.   A seamless last-mile delivery experience can create a sense of reliability and convenience that fosters long-term customer relationships and encourages repeat purchases for my brand.

The current capability features a static returns approval notification. There are instances where the approval notification should be customized before being sent to the customer. Currently, the only way of doing this is to change the approval notification for all returns, save, go back to the RMA in question, approve it with the new notification, make sure no other returns are approved, go back to the nofication and amend it to how it was prior and save.   Use case: there may be a specific product that is available for exchange in store, this needs to be checked with the store first so cannot be a hard rule. If the approval notification could be amended on an adhoc basis, you could give the customer the option at the point of approval and avoid back and forth via email.

For instance, customers can quickly locate reviews based on size, incorporate images and videos, consider age, product characteristics, and the reviewer's recommendation status.

Requesting to provide an option for the end consumers to edit the review on the AfterShip tracking page after the product is being delivered.    Currently, the customers are able to leave the review but unable to edit them. 

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

As a business owner, I am seeking a system that can facilitate risk level scoring for each RMA (Return Merchandise Authorization) and enable my staff to input risk assessment findings based on actual RMA inspections. This system will enable us to assess risk levels effectively and respond accordingly. Moreover, the system will allow for the reporting of any detected fraud instances.   Implementing this system is crucial for mitigating fraud occurrences, as well as proactively preventing future fraudulent activities. Such measures are instrumental in safeguarding my business's profitability in the long term.

In Shopify, merchants cannot identify which orders were combined in TTS. This will increase the risk of merchants repeatedly fulfil the same order items.   To address this issue proactively, I would recommend that we introduce a hint or tag within Shopify to alert merchants about combined orders, thus avoid this situation from happening.

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 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.