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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.

I have built a website to publish articles about local business services. Can you tell me how I can rank my website? Is there any SEO expert who can help? The website is built on a custom Laravel framework.

Enhance Aftership’s functionality by integrating with Royal Mail, one of the leading postal services in the UK. This integration would allow users to track shipments directly through Aftership, providing seamless tracking updates, improved user experience, and broader carrier support. This feature would be particularly valuable for e-commerce businesses that frequently use Royal Mail for deliveries.

For the tracking page I am currently using, it would be great to have the Delivery Instructions feature, so that my customers can provide specific instructions to carriers, and ensure successful deliveries.   This feature will also be valuable for drivers who can have all the necessary information at their fingertips, even for dispatchers who can manage delivery more effectively with all that info.   A seamless last-mile delivery experience can create a sense of reliability and convenience that fosters long-term customer relationships and encourages repeat purchases for my brand.

We want the ability to display shipping reviews to front end customers/users to give them social proof and increase conversion rates. Fast, cheap, convenient and reliable delivery helps to boost conversion rates, especially when you're entering a new market and trying to build brand awareness/trust. It also helps to get customers who are used to visiting your retail stores to shift to shopping online instead of just going in to a store. Currently, shipping reviews are only available to back end users and internal teams in the aftership portal, but we want to be able to have a customisable widget that we can display on places like the homepage, PDPs, information pages like shipping & delivery info pages etc... We can pick and choose or set up rules to automate showing a handful of reviews related to the shipping customer experience.

Compared to AfterShip Tracking, Returns currently lacks key customization capabilities: * No page segmentation (by market, country, store, customer type, etc.) * No way to associate a return with a specific store * No configurable notification flows based on return status or parameters The absence of these settings significantly limits customization for clients and prevents them from offering tailored return experiences. Suggestion: Introduce advanced configuration options similar to Tracking, including: * Segmented return pages based on defined parameters * Store-level return association and rules * Conditional notification flows triggered by return events and attributes These improvements would greatly enhance flexibility, customer experience, and alignment across the AfterShip product suite.

Currently, I can only choose from 3 resolution options in Warranty admin: Repair item, Replace item & Other. At the end of the day, I need to manually export a list of Warranty claims and see how many store credit resolutions were recorded. (By using the “Other” option with a note.) This process is very time-consuming and inefficient.    It would be very helpful if a direct "issue store credit" feature were integrated, potentially automating the process across platforms like Shopify.

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Hi, The data when the shipment is created at the carrier is important for shipment analysis. Example:  Info received   Shipment information received DHL Express Mar 25, 2025 at 12:01 pm

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.