Share your ideas with us

For instance, customers can quickly locate reviews based on size, incorporate images and videos, consider age, product characteristics, and the reviewer's recommendation status.

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 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.

Seems like a basic thing, but when I have an enhancement I'd like to submit, I want to ensure I don't duplicate someone else's submission.  Obviously that's why there is an 'upvote' button.  The only way to determine if there is something worth upvoting is to scroll through the entire list from top to bottom.

It would be very helpful to have an option to group orders by store/company name (e.g., all Amazon orders together, all eBay orders together, etc.). This way, I could collapse or expand groups and quickly view only the orders I want. Additionally, it would be great if users could create their own custom groups for even more flexibility.

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.

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.

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.

在英语版本下，缺货订阅按钮会正常显示：https://eu.elegoo.com/products/elegoo-pla-filament-1-75mm-3d-printer-filament-1kg-spool-2-2-lbs?variant=45521201037588 在法语及其他语言版本下，缺货订阅按钮未显示：https://eu.elegoo.com/fr/products/elegoo-pla-filament-1-75mm-3d-printer-filament-1kg-spool-2-2-lbs?variant=45521201037588

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.