Listing with InventoryLab
List has many capabilities and features to list products that are already in the Amazon catalog, and seamlessly works with products already in your inventory that you are looking to restock. Please note that you cannot create completely new listings in InventoryLab, you can only list against existing ASINs. If you have a product that needs a new ASIN catalog page, please use Seller Central to create the ASIN. Once the new ASIN has been created, you can come back to InventoryLab and add the ASIN to a batch if you wish.
Thermal Label Printing
Listing with InventoryLab is most efficient when you are using a thermal label printer. This allows you to print labels while you list automatically, so that you can list items as you go. The recommended label printer for InventoryLab is a DYMO 450 LabelWriter, or a DYMO 450 Turbo. Either model can be acquired for a minimal investment.
What is a batch?
Think of a Batch like your own shopping basket or cart at the store. You go and find items you want and place them in your cart, you may put some items back on the shelf or decide to stock up on chips since they’re on sale. Once your cart is full of all you need, then you go to the checkout and pay for the items to take home. This is an apt analogy to describe how InventoryLab works:
- Your Batch (or cart) is where you enter all the items you want to sell on Amazon
- Just like a shopping cart, a Batch can have items added, removed, or replaced until you are ready to checkout and pay.
- Checking out translates to sending your item listings to Amazon and creating FBA Shipments out of them
- When a Batch gets checked out, it is no longer active, just like at the store if you forgot something, you would come back in and grab a new basket (start a new batch)
If you think of batches as described in this analogy you’re already well on your way to understanding the concept behind InventoryLab’s Listing functionality.
How does a batch relate to FBA shipments?
We recommend that you relate a batch to a session, as opposed to a shipment. The best way to use the batch functionality is to only work on one batch for each MSKUs shipment or group of MSKUs you are listing to Amazon. For example if you have 50 new MSKUs to list, 45 of them are FBA and 5 of them are MFN, we recommend starting a new batch and listing all 50 MSKUs to that same batch. Once you are finished, complete the batch by sending the product listing feeds and creating all of the shipments. Make sure your batch is closed when you are finished. On your next batch of new items, make sure to start a new batch name.
How quickly should I finish a batch after starting it?
Before determining how quickly you need to complete a batch, it is important to consider your workflow and how you handle the distributed inventory process:
InventoryLab offers two types of workflows; Live and Private.
How do I replenish an item?
InventoryLab does not have a “send/replenish” action like Amazon. To replenish through InventoryLab simply List your product and if it is already synced in our system from your Amazon inventory the system will prompt asking if you would like to use the same MSKU.
If your open batches list contain any batches that you are no longer working on, have already shipped or completed; then we recommend closing the batch so that your “open batches” section only contains batches that you are working on. You can close batches whenever you wish and it is very easy to do so. It’s important to note that closing a batch does not remove any of it’s data, rather it just becomes archived in the Closed Batches page. You will want to hover over near the batch name on the left menu, and click the icon with three horizontal lines. This drops down to show you 2 icons. One is “Pencil” (for editing the batch name) and the other is a “trashcan” to close the batch.
Once you have confirmed you have closed the batch, you can always view it again by going to Inventory>Closed Batches. Here you can restore your batch to open, review data, export or even print labels if you ever needed one.