Amazon analytics and reporting built only from your own data

Amazon analytics and reporting at MuggleShip brings together the figures a fulfillment client checks most often: inventory health, fulfillment SLA, sales velocity, restock recommendations and returns. Instead of piecing these together from separate Seller Central screens and downloads, you get reports organised around the questions you actually need to answer each week, from what to reorder to which products are coming back.

The reports are part of your fulfillment account rather than a separate product to buy. Because MuggleShip already stores, picks, packs and dispatches your stock, your reporting sits next to the operation it describes. You can look at stock levels, order handling and returns in one place, then raise anything that needs attention with the same operations team that handles your inventory day to day.

Every report is built from your own Seller Central data, accessed through Amazon’s Selling Partner API (SP-API) with your authorisation as the account owner. SP-API is the interface Amazon provides so that applications a seller chooses to authorise can work with their account. The platform does not collect, aggregate or display data about other sellers, so there are no market benchmarks or competitor figures mixed into your reports.

That keeps the numbers easy to trust and easy to explain. Every figure traces back to your own sales, stock and returns, which means you can reconcile reports with your own accounts and share them with a finance team or business partner without caveats about where the data came from. The data processed for you belongs to you and is used solely to operate your own business.

The Amazon inventory health report shows how your stock is performing: what is selling through, what is ageing, and what has stopped moving. Ageing stock is worth catching early, because the longer it sits the more storage it uses and the harder it becomes to clear. Seeing it flagged lets you decide whether to run a promotion, change a price rule, or stop reordering that line.

Restock recommendations work from the other direction. Using sales velocity by SKU, they suggest when to reorder so you can plan purchase orders before a fast seller runs low, rather than reacting once it has already gone out of stock. You still make the final call on quantities and timing, but you start from your own sales history instead of a guess or a spreadsheet someone forgot to update.

Sales velocity is also useful on its own. Tracking each SKU over time helps you see which products are gaining momentum and which are slowing, so stock decisions, listing work and pricing rules can follow what your catalogue is actually doing rather than what it was doing when you last ran the numbers by hand.

Returns analytics breaks your returns down by SKU and by the reason buyers give. A cluster of returns for one reason often points to a fixable cause, such as a sizing note missing from the listing, an image that sets the wrong expectation, or packaging that is not protecting the product. Reviewing return reasons regularly helps you decide what to change before the same problem repeats across more orders.

Fulfillment SLA reporting covers the service side: how your orders are processed and dispatched from our Bedford warehouse. It gives you a record to check against your own order data and a factual basis for any conversation with our operations team. Together with returns analytics, it shows you both how orders leave and why some of them come back.