Share your ideas with us

As online shopping continues to expand, cities and businesses are looking for ways to simplify last-mile delivery. In this shift, automated parcel lockers have become a practical solution, helping reduce missed deliveries and improving convenience for both couriers and customers. Their use is steadily shaping the future of contactless and efficient package management.

The ability to see how much it cost per tracking label for the carrier, alongside all the other analytics would be beneficial to business operations.   Having “cost” as a piece of data collect and display in analytics will help us make larger business decisions when it comes to choice of carrier preferences to know which carrier is best to work with in the long run. I believe this feature will be great value add to Aftership as well!

The current OpenGraph meta preview generated by AfterShip's referral link system is unacceptable. We run a professional e-commerce business in South Africa selling premium seat covers, yet the influencer link preview looks like a child’s sticker book. Confetti, a USD coupon graphic, and a generic "Get special offers" line? Completely irrelevant, off-brand, and frankly embarrassing when shared by influencers. This isn’t just a design problem. It reflects poorly on our business when our partners share this link on Facebook and social platforms. It gives the impression of an unprofessional or scammy brand — damaging our credibility and costing us leads. We don’t even use USD as our currency. Why are you pushing American coupon-style banners to international stores?

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.

Our warehouse needs to know how many returns were requested on a daily basis so they can plan their resources accordingly. but it is not an option for now. It would be nice if we could build our own reports and schedule it. 

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.

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.

Can we have a way to export the report of the notifications? So for example, I would love to be able to export the list of people who had bounced emails for our shipping notifications or even to export the list of folks who did not open the message. 

We want to refer to the customer's username when packing the order. Right now, to do this, we need to download the tiktok orders, connect them to the shopify order number via the tiktok order in the notes field and then connect that to the order number in shipbob.   If we had the username in shopify, we could eliminate the step where we have to connect tiktok to shopify.

Would be a great feature if there was a link to the returns status page within the returns dashboard.   And if this link can be easily copied so we can share to the end consumer if they call through the contact center/help, then our agents can quickly copy the link and then email/share to the end consumer