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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.

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. 

Hi there,    We’re planning to fully transition to your warranty return platform and would like to see the following improvements: * Dynamic Reference Lines on Return Shipping Labels: We’d like the option to add customizable reference lines on shipping labels. While there are default placeholders available, we need a more flexible solution to include internal notes that will help us organize returns efficiently. * Delayed Replacement Order Processing: We’d prefer the ability to process a replacement order without sending it to Shopify until the carrier marks the warranty return as “en route.” * Regex Validation for Warranty Intake Form: Adding regex validation would help us ensure inputs follow specific formats, such as order numbers or serial numbers, for better accuracy.

Would like to be able to filter the shipping exceptions so I only receive ones for damages. Especially after a club run, we can receive many notices for delivery exceptions which can include delays, intercepts, etc. However, the ones we would primarily like to receive are for damages. we would like to catch these before the customer reaches out to let us know or from the return report.

As a merchant, I would like to break down the shipping volume report by Carrier and Lane. Currently, it can be broken down by only one condition.   This would allow us to understand how a carrier is performing in a specific market.

Most major carriers already provide an estimated delivery date/time as part of their tracking data, but this isn't currently surfaced in the app. Context: Customers tracking a shipment want to know when it will arrive, not just its current status. Right now they have to infer this themselves or check the carrier's own site separately. Issue to address: Add a field that displays the carrier's estimated delivery date (and time window, where the carrier provides one) on the tracking/order page. This would reduce "where is my order" support inquiries and improve the post-purchase experience. Suggestion: Pull the estimated delivery data from carriers that already expose it via their APIs, and display it prominently near the shipment status.

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.

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.

It would be great if we could allow the discount to carry over to the new order if a customer is just exchanging a size, at the moment our customer is choosing to refund rather then exchange sizing because they have to pay the difference between the original discounted price and the price. 

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.