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

Perhaps with Aftership Reviews, we could set a custom rule where if the transit time is exceeds X days, the platform won't initiate reviews.

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?

I want to be able to show values and total value of anything that is currently in transit, out for delivery and delivered so i can manage my insurance process of total value out at a given time 

Is it possible to increase the bulk search limit from 50? We often have to peform bulk search a number of times to retrieve the data that we're looking. 

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.

There's quite a few couriers where the 'View on Carrier Website' doesn't take you directly to the trracking page, and instead requires you to enter the tracking number.  These can be easily fixed by correcting the URL.   For example, for Cainiao the link takes you to; https://global.cainiao.com/   This needs correcting to; https://global.cainiao.com/newDetail.htm?mailNoList=   Please submit any further examples below.

Titles should update with count of items in the section so you know it's updating and should be clicked on. 

Brand noted they’d like to be able to clearly communicate why certain Products are on the Blocklist - instead of the general text we have in place, without specifically making the customer review the Policy as a whole. Asking if we could define the error at the Blocklist Product Tag entry level. If the value is left blank, use default content.   Current state: After end consumer logs in with Order, non returnable items are greyed and out and we show at the line level a message that states "Does not comply with our return policy."   Desired State: After end consumer logs in with Order, non returnable items are greyed and out and we show at the line level a message from a configurable setting within RC where we can pass SKU or Product Category specific messages that state why an item is nt returnable like "Digital Goods are not returnable" or "Bundled Item cannot be returned" or "Last years models are not returnable but warranty available".   We'd like to be able to configure our own blocklist message for order item display when the end consumer logs into RC.

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.