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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.

My package is currently reading that it is out for delivery in my area, but is still showing to be located in a totally different country so the tracking needs to be updated and fixed because this has been an ongoing issue that I've contacted them about for support and it's still reading the same way

On the tracking dashboard customers/users need to be able to click to grab, then drag and drop the order we desire our packages to be in.

While using personalization, I want to understand the actual product results generated by these algorithms and the reason behind the chosen product displays for shoppers.   If I can preview the recommendation results in the admin, it would reduce uncertainty, ensure optimal outcomes, and improve my marketing strategies to boost conversions.

I have had customers who have accidently unsubscribed themselves from receiving AfterShip emails. I can see them in the Unsubscribe list, but I cannot remove them. Please add a feature that would allow AfterShip administrators to remove emails from the Unsubscribe list. Currently this process has to be done by the AfterShip tech team. By making this a self-service feature, you will reduce the labor required by the AfterShip team and make the product more efficient.

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.

I am utilizing Smile to develop the Reward program for our business. This year, I aim to motivate members to increase their reviews by integrating Reviews into the reward system as bonus incentives. This will allow our members to accumulate extra points by sharing feedback for their purchases.

I am using the API for Zoho Inventory integration with Aftership. I would like the items on the shipping order of Zoho Inventory displayed on the shipment items of the email notifications to my customers. The shipments are created within Zoho Inventory and tracked by Aftership.

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.

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.