The new Inventory Age & Excess Analytics Dashboard on Amazon is a tool that provides sellers with a summarized view of how their aging inventory levels are trending over time. It also shows how other metrics correlate with aging inventory and gives overviews of excess inventory recommendations and aged inventory surcharges.

In the Amazon Inventory Age & Excess Analytics Dashboard, you can use filters to refine the data you see. You can filter the page by:

• Date range: Select the period for which you want to view inventory data.
• Product (SKU): Choose specific products to focus on.
• Granularity: Analyze data per day, week, or month to get insights at the level of detail you need.

The KPI cards in the Amazon Inventory Age & Excess Analytics Dashboard provide key metrics related to your aging and excess inventory. They include:

• Total aging inventory
• SKUs with estimated excess units
• Estimated excess units These cards offer a quick snapshot of important inventory metrics at a glance.

The Inventory Age Trends Graph in the Amazon Inventory Age & Excess Analytics Dashboard displays the number of units in each aging bucket for the filtered date range at the selected granularity (daily, weekly, monthly). This visual representation helps sellers understand how their inventory is distributed across different age categories over time.

The Insight Cards in the Amazon Inventory Age & Excess Analytics Dashboard show:

• Excess inventory recommendations
• Aged inventory surcharge history
• Inventory age trends These cards provide actionable insights and historical data that can help sellers manage their inventory more effectively.