Share your ideas with us

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.

Currently you can manually refund the shipping fee in the admin manually, but would like the ability for it to be automatic.

Honestly, this would help us to ease our shoppers through possible delays proactively.

On the tracking dashboard customers/users need to be able to click to grab, then drag and drop the order we desire our packages to be in.

My idea is that when a shipment comes in from China to America,instead of each parcel going right to LAX through customs,each one should go to it's respective state and provence,every state has a sorting and customs center,it would just make it easier to make one stop instead of two or three on the way to the packages final point of delivery,

If you are working with many different returns in one day, there needs to be a quick way to copy information like in Shopify as example. Please reference the far right side of this image:

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.

Add the ability to block a return and direct the customer to the warranty portal. Bonus if you could log the customer in and auto fill information.   Potential Mockup Potential User Experience

Related to BOPIS Track - set a Pickup deadline date and use it as a Merge Tag on Notifications.   Ideally, set a date and time expiration date so the end consumer know when they need to pick up their order. If the end consumer doesn't pick up their package before the expiration date, then cancel the order, notify the client and possibly refund the end consumer.

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.