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We want to refer to the customer's username when packing the order. Right now, to do this, we need to download the tiktok orders, connect them to the shopify order number via the tiktok order in the notes field and then connect that to the order number in shipbob.   If we had the username in shopify, we could eliminate the step where we have to connect tiktok to shopify.

That would be great if Feed could accommodate the listing of "not-for-sale products" on TTS. This feature is newly introduced in TTS, where the product is not for sale to shoppers but will be gifted to them instead.

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.

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!

The same videos are displayed to shoppers on my collection page or recommendation widgets. I want greater exposure to alternative products and videos, but selecting which ones to display and updating them regularly feels overwhelming.   Furthermore, testing to determine which video garners the most traffic is even more challenging. I have no idea if my efforts will result in sales. If only there is a tool could help!

I would find it very useful if I could pull the SMS communication metadata using an API. Currently it is only available as a download from the portal which makes automation impossible.

As a retailer, it would be great if customer preferences can be collected and determine whether to send an SMS notification based on the subscription status synchronized via API.   Moreover, a customer-facing page that allows users to manage their preferences would be even better. We would love to communicate more with our shoppers, which will efficiently improve our customer satisfaction and brand reputation.

Some customers enter +1 before their phone number when requesting a return or exchange. This causes the shipping label to fail to generate and creates frustration for the customer and extra work for me. I would like the system to correct the phone number to allow successful label generation.

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.

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?