Overview

Amazon offers a restock recommendation feature designed to help sellers who fulfill their own orders maintain healthy inventory levels. Available through the Manage Inventory page in Seller Central, this tool provides data-driven guidance on when and how much to restock, helping merchants avoid costly stockouts on their seller-fulfilled listings.

Key Points / What Sellers Need to Know

• Restock quantity estimates — The tool calculates how much inventory you need to replenish based on your current stock levels and projected demand over the next two weeks across all of your fulfillment locations.
• Days of supply tracking — A real-time metric that estimates how many days your existing inventory will last given the forecasted demand for each product, giving you a clear picture of urgency.
• Restock-by date alerts — The system recommends a specific date by which you should replenish stock to avoid low-inventory or out-of-stock situations, calculated from your estimated days of supply and the 14-day demand forecast.
• AI-powered demand forecasting — Amazon's machine learning models generate eight-week demand projections for each SKU, factoring in historical order data, active promotional deals, and seasonal trends.
• SKU-level prioritization — By surfacing which products face the highest demand pressure, the tool helps sellers prioritize restocking decisions and allocate resources to their most important listings.

How the Restock Recommendation Tool Works

The restock recommendation feature lives within the Manage Inventory section of Seller Central and applies specifically to seller-fulfilled listings sold on Amazon. When you access the tool, it analyzes your current inventory quantities across all storage locations and compares them against projected customer demand. The system then generates four key outputs for each SKU: a recommended restock quantity, an estimated days-of-supply figure, a suggested restock-by date, and an eight-week demand forecast. These calculations are updated regularly as new sales data comes in, so the recommendations reflect the latest trends in customer purchasing behavior. Sellers can use all of these inputs together to build a comprehensive restocking plan rather than relying on guesswork or manual spreadsheet tracking.