Share your ideas with us

Consider leveraging Estimated Delivery Dates for Return Shipments as a column on the Returns Dashboard

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.

Hello to Aftership team, I am from Fabricdekho.com. I am here to write a request for providing a return request  button along with seller approval so that return could be the easy process. As return is a difficult process as of now. Customer need to request again n agian to seller. We should work on this so we can ease the process of return.   Thanks.

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.

I am the owner of a fashion company preparing to expand my business operations in the US. I have been utilizing Aftership EDD for some time now and I'm interested in learning how to configure my EDDs to accommodate multiple locations.   Specifically, I have two separate locations in Australia and the US where identical SKUs are stocked. In cases where a particular SKU is out of stock at the US location, I would like orders to be fulfilled using available stock from the AU location as a fallback option. I am seeking guidance on integrating this specific logic into my EDD settings.

Perhaps with Aftership Reviews, we could set a custom rule where if the transit time is exceeds X days, the platform won't initiate reviews.

The “Back” button on the RC portal is not obvious or prominent enough. It is too hard to find and blends into the page. 

To enhance the shipping experience for customers purchasing hair extensions or hair care products, AfterShip could focus on providing real-time tracking updates that are both detailed and easy to understand. For the hair industry, ensuring timely delivery is critical, as customers expect to receive their products in a timely manner, especially for events like weddings, parties, or other special occasions. Additionally, offering automated notifications at each stage of the shipping process — from dispatch to in-transit updates and delivery confirmation — would allow customers to stay informed and reduce anxiety around the arrival of their products. A specific feature that would be beneficial in the hair industry is providing an estimated delivery window based on the type of hair products purchased, considering how delicate and time-sensitive hair products can be. Another improvement could be offering customized delivery options, like express shipping for urgent orders or delivery tracking tailored to customers’ needs based on their location, enhancing convenience and customer experience. By integrating these features, AfterShip could help ensure a seamless experience for customers in the hair industry, driving satisfaction and repeat business.

Integration of Sharetown to schedule pickups of items being returned. The process involves Sharetown picking up items directly from the customer's doorstep without the need for packaging. Once the items are picked up, Sharetown will resell the items through their channels and provide business with an agreed-upon gain-share payback based on the resale price.   Key Requirements: No label generation is needed as Sharetown will handle the pickup. A system integration will be needed to push the return data to Sharetown as a pickup request in their system. Sharetown will manage the logistics and resale of the items.

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.