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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.

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.

The website is in dutch but then after login, the portal is in english.

As a merchant, I would like to charge the cost of return when the shopper chooses to replace the returned item.  aftership Returns provides Stripe checkout only for this scenario, but I don't have a Stripe account, I would like to use my Shopify checkout to charge the exchange upsell and cost of return. So that I don't have to open a Stripe checkout and manage two accounts (Shopify and Stripe checkout) at the same time.

Goal: To make it easier for customers to accurately select the correct item for return when using the return portal. Preconditions: The customer has placed an order containing multiple items, some of which may have similar or identical titles, colors, or sizes. The SKU numbers for the items exist in the system but are not currently displayed in the return portal. Trigger: The customer initiates a return and accesses the return portal to select the item(s) they wish to return. Basic Flow: The customer logs into the return portal. The portal displays the items from their order, including details such as title, color, size, and now the SKU number for each item. The customer uses the SKU number to cross-reference their order confirmation or invoice, ensuring they select the correct item for return. The customer completes the return process with confidence that the correct item has been selected. Postconditions: The customer successfully returns the correct item without confusion. The support team receives fewer inquiries about mismatched returns. Benefits: For Customers: Improved user experience by reducing confusion when selecting items for return. Greater confidence in completing returns independently. For the Business: Reduced customer support requests related to returns. Increased efficiency in processing returns, minimizing errors caused by incorrect item selection. Priority: Medium – This enhancement has a high potential to improve customer satisfaction with a relatively low implementation effort. Technical Requirements: Modify the front-end display of the return portal to include SKU numbers as part of the product details. Ensure the SKU numbers are fetched and displayed consistently across all customer orders. This use case focuses on enhancing the clarity of the return process for customers while streamlining operational efficiency for the business.

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?

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.

Instead of directly integrating Aftership with Gmail, I would like to send my emails with package information to an aftership email address associated with my account, for aftership to parse and automatically show tracking information. 

When exchanging a product, you have to pick from a list of products, sorted by the most recently created products. There's no search facility. This is particularly problematic when you have an old sku that comes in every season and it is buried deep in the list

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