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Suggestion: Add Lazada Express (LEX MY / LEL) Support for Malaysia   Hi,   I would like to suggest adding Lazada Express (LEX MY / LEL) as a supported courier/carrier on your app and website.   Lazada Express is the official delivery courier used by Lazada in Malaysia, similar to how SPX Express / Shopee Express is the official courier for Shopee. Many Lazada shipments in Malaysia are handled by LEX, so having direct tracking support would be very useful for Malaysian users.   The official LEX Malaysia tracking website is: https://lex.com.my/   For testing purposes, you can use these example tracking numbers:   LXST191548638MY MYMPA257159996   I hope you can consider implementing Lazada Express (LEX MY / LEL) support soon. As Lazada is widely used in Malaysia, I believe many users would appreciate being able to add and track their LEX shipments directly through your app and website instead of having to visit the LEX website separately.   Thank you for considering this suggestion. I hope LEX MY support can be added in a future update!

Hello, We would like to identify the parcels that were delivered by secured delivery methods, and which ones. For example, was the parcel delivered with a Pin Code? With a QR Code? With a signature? This would allow to better measure Exceptions per delivery method, and size the opportunity of such services, on which we are completely blind today.

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.

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. 

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.

As a merchant, I allow shoppers to exchange items for different variants during returns, which may have different prices. For example, a Small size costs $30 while a Large size costs $50.   Currently, Shopify allows me to adjust prices manually only after the Return Merchandise Authorization (RMA) is submitted. If aftership could facilitate charging or refunding price differences for variants during the return request process, it would greatly streamline our operations and enhancing the overall efficiency of RMA management.

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.

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.

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.

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.