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.

I want to fully customize different free shipping thresholds for different currencies/regions. This would better compensate for my shipping costs in different currencies and may also increase the order value.

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.

Hi there, We ship wine, which means orders are often held by our fulfilment center when temperatures along the route are above or below certian threshold we have set. I would like to create a flow that automatically notifies the customer that their order has been flagged for a weather hold and ensures them it is still on the way. Is this possible? Thanks

As a merchant, I allow shoppers to exchange items for different variants during returns, which may have different prices. For example, a Small size costs $30 while a Large size costs $50. Currently, Shopify allows me to adjust prices manually only after the Return Merchandise Authorization (RMA) is submitted. If aftership could facilitate charging or refunding price differences for variants during the return request process, it would greatly streamline our operations and enhancing the overall efficiency of RMA management.

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.

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.

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.

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.

I would like to view the chart showing reasons for late shipments in the current on-time report that I am using.