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As a business owner, I am seeking a system that can facilitate risk level scoring for each RMA (Return Merchandise Authorization) and enable my staff to input risk assessment findings based on actual RMA inspections. This system will enable us to assess risk levels effectively and respond accordingly. Moreover, the system will allow for the reporting of any detected fraud instances.   Implementing this system is crucial for mitigating fraud occurrences, as well as proactively preventing future fraudulent activities. Such measures are instrumental in safeguarding my business's profitability in the long term.

It would be very helpful to have an option to group orders by store/company name (e.g., all Amazon orders together, all eBay orders together, etc.). This way, I could collapse or expand groups and quickly view only the orders I want. Additionally, it would be great if users could create their own custom groups for even more flexibility.

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 would find it very useful if I could pull the SMS communication metadata using an API. Currently it is only available as a download from the portal which makes automation impossible.

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

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.

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.

Allow me to still refund if I choose even if the return request has expired. Now I have to recreate the return request making more work for me.

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.

I would like to include the RMA number barcode on the returns label. This way, upon receiving the returns label at my warehouse, I can simply scan the barcode to retrieve the RMA number. Subsequently, I can use this number to efficiently locate the corresponding RMA information within the returns system. This process will significantly enhance the operational efficiency of our RMA procedures.