Share your ideas with us

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. 

Our warehouse needs to know how many returns were requested on a daily basis so they can plan their resources accordingly. but it is not an option for now. It would be nice if we could build our own reports and schedule it. 

We use this to ship to clients it would be nice if we could save clients within the system to send notifications to. 

I am using the API for Zoho Inventory integration with Aftership. I would like the items on the shipping order of Zoho Inventory displayed on the shipment items of the email notifications to my customers. The shipments are created within Zoho Inventory and tracked by Aftership.

I don't want to sync my email, so it would be great to be able to add a record for items that I've ordered but haven't shipped yet. I can then edit/update the shipment when the tracking number is available. 

Would like to be able to filter the shipping exceptions so I only receive ones for damages. Especially after a club run, we can receive many notices for delivery exceptions which can include delays, intercepts, etc. However, the ones we would primarily like to receive are for damages. we would like to catch these before the customer reaches out to let us know or from the return report.

Consider leveraging Estimated Delivery Dates for Return Shipments as a column on the Returns Dashboard

When utilizing an HTML email editor, I aim to display and personalize shipment or order items within my tracking notifications.   This feature would allow shoppers to conveniently view their purchases directly in the email, thereby improving customer satisfaction.

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.

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.