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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.

I am utilizing Smile to develop the Reward program for our business. This year, I aim to motivate members to increase their reviews by integrating Reviews into the reward system as bonus incentives. This will allow our members to accumulate extra points by sharing feedback for their purchases.

It would be useful to have a Sku column amognst the list when editing the returns dashboard. The image of the item is useful but often the item is enclosed in a boxed which is marked with the sku. Therefore at first glance, the sku is seen before the physical item.

Currently it's possible to view returns analytics only per 1 store at a time. It would be great to be able to select multiple stores and have a consolidated view on returns. 

I don't want to sync my email, so it would be great to be able to add a record for items that I've ordered but haven't shipped yet. I can then edit/update the shipment when the tracking number is available. 

Hi, The data when the shipment is created at the carrier is important for shipment analysis. Example:  Info received   Shipment information received DHL Express Mar 25, 2025 at 12:01 pm

I see that Aftership is already having public api end points available for tracking and returns. i would like to have similar one for reviews.

So, as a seller who often runs campaigns, I would love to have a cool discount setup that can be customized based on how customers behave.   For example, I could keep discounts hidden for shoppers with shopping carts over $1,000 but display them for those who have smaller carts, so that they would shop more to get a better discount.   This strategy can be effectively applied to our product recommendations, enhancing conversion rates and boosting average order values.

We use this to ship to clients it would be nice if we could save clients within the system to send notifications to. 

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.