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Hello,   This is Nailin from Harman. We need to have the option to ‘Save’ the filters & layout on the AfterShip Tracking dashboards / Orders. this function is available in Shipments section but not on Orders. but it is equally important for us to check both dashboards regularly. therefore saved view would be more than important to have.  Thank you! Regards, Nailin

Currently OTD report, reports the complete journey so the avereage time can fluctuate based on how long it takes for customers to collect their order.  We need to report on the carrier performance and then the time it takes to collect.  It would be good to have  a PUDO report that breaks down : average transit time to collection point   Average time waiting for collection    If we expand our PUDO options in Europe it would be a good indication 

Goal: To make it easier for customers to accurately select the correct item for return when using the return portal. Preconditions: The customer has placed an order containing multiple items, some of which may have similar or identical titles, colors, or sizes. The SKU numbers for the items exist in the system but are not currently displayed in the return portal. Trigger: The customer initiates a return and accesses the return portal to select the item(s) they wish to return. Basic Flow: The customer logs into the return portal. The portal displays the items from their order, including details such as title, color, size, and now the SKU number for each item. The customer uses the SKU number to cross-reference their order confirmation or invoice, ensuring they select the correct item for return. The customer completes the return process with confidence that the correct item has been selected. Postconditions: The customer successfully returns the correct item without confusion. The support team receives fewer inquiries about mismatched returns. Benefits: For Customers: Improved user experience by reducing confusion when selecting items for return. Greater confidence in completing returns independently. For the Business: Reduced customer support requests related to returns. Increased efficiency in processing returns, minimizing errors caused by incorrect item selection. Priority: Medium – This enhancement has a high potential to improve customer satisfaction with a relatively low implementation effort. Technical Requirements: Modify the front-end display of the return portal to include SKU numbers as part of the product details. Ensure the SKU numbers are fetched and displayed consistently across all customer orders. This use case focuses on enhancing the clarity of the return process for customers while streamlining operational efficiency for the business.

Expose an REST API for creating Warranty Claims.

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.

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 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.

It would be really useful to see how often the Gift Tracking Page is actually being used, separately from the regular tracking page. At the moment, it’s hard to tell uptake or performance unless the page has a unique URL or rely on Google Analytics. Having native reporting in AfterShip would make this much easier. Ideally this would show: - Views and unique visitors for the gift tracking page - How it compares to the standard tracking page - Basic engagement (e.g. CTA clicks) This would help merchants understand adoption and value of the gifting feature much more clearly.

When exporting, it would be handy if there was a third Data Format option.  In addition to Standard and Custom, something like “Same as current display” or something like that.  An option that would create the csv or xlsx file with the same columns in the same order that are displayed in the current view on the web page. I find myself adding or removing columns in the dashboard in order to see what I want to look at but, if I want to then export it, I need to either recreate the view again in the export wizard (which isn’t always even possible) or export it standard and move stuff around in excel. 

Our warehouse needs to know how many returns were requested on a daily basis so they can plan their resources accordingly. but it is not an option for now. It would be nice if we could build our own reports and schedule it.