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Honestly, this would help us to ease our shoppers through possible delays proactively.

Currently OTD report, reports the complete journey so the avereage time can fluctuate based on how long it takes for customers to collect their order.  We need to report on the carrier performance and then the time it takes to collect.  It would be good to have  a PUDO report that breaks down : average transit time to collection point   Average time waiting for collection    If we expand our PUDO options in Europe it would be a good indication 

Fast and reliable delivery plays a vital role in customer satisfaction for heavy equipment buyers. When products arrive on time and in perfect condition, it builds trust, reduces downtime, and encourages repeat business and brand loyalty.

The background is that I sell my products on multiple marketplaces, and each has different return flows that the aftership Returns page cannot handle. It would be much easier if there is a Returns API that can meet my requirements below.   Need: - I need a Returns API to allow creating RMA/return requests without having to use the Returns Page to file it.  - I can call the API and pass the information regarding the Return Reason Resolution, etc in one go.  - Once I call this API, it will return creation in Pending or Auto-Approved Status.

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.

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.

It would be useful to have a Sku column amognst the list when editing the returns dashboard. The image of the item is useful but often the item is enclosed in a boxed which is marked with the sku. Therefore at first glance, the sku is seen before the physical item.

Scenarios 1. We give a customer a partial refund for a coupon code they forgot to enter. This partial refund is currently stopping the customer and us from being able to request a return in Aftership. Please allow an option to make RMA or override in this scenario. 2. (similar to #1) Customer orders multiple items, gets RMA for one item, returns it and is refunded. Now they want to return the other item, however, because there is a refund in Shopify we are not able to open a RMA for the other item because the order shows as returned. Please allow option to make RMA or override in this scenario.  Thank you

In Shopify, merchants cannot identify which orders were combined in TTS. This will increase the risk of merchants repeatedly fulfil the same order items.   To address this issue proactively, I would recommend that we introduce a hint or tag within Shopify to alert merchants about combined orders, thus avoid this situation from happening.

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.