Overview

Amazon has integrated its FBA restock recommendation engine directly into the Send to Amazon shipment‑creation workflow. The change, rolled out in early 2024, shows SKU‑level guidance at the moment sellers build shipments, eliminating the need to toggle between the inventory dashboard and the shipping tool. Sellers who rely on manual replenishment now receive real‑time sell‑through data, stock levels and suggested quantities without leaving the workflow, helping them avoid stockouts and excess‑storage fees.

Key Points

• Embedded recommendations — Restock suggestions appear in Step 1 of the Send to Amazon process, so sellers no longer have to open the separate FBA Inventory page.
• Live sell‑through metrics — The interface displays each SKU’s recent sell‑through rate, current fulfillment‑center stock and a recommended send quantity side‑by‑side.
• Four customizable inputs — Lead time, minimum order quantity, replenishment frequency and case‑pack size are factored into every recommendation and can be edited per SKU.
• Full manual override — Sellers can adjust any of the four variables for an individual product, ensuring the output reflects real‑world supplier constraints.
• Guideline, not guarantee — Amazon stresses that the numbers are advisory; upcoming promotions or seasonal spikes must still be accounted for manually.

How the Recommendations Work

1. Data collection — Amazon pulls historical sales data for each SKU, such as the past 30 days of units sold. Example: SKU “B07XQ9K8L5” sold 180 units in the last month, indicating a daily sell‑through of six units.
2. Input integration — The system incorporates the seller‑provided variables: lead time, minimum order quantity, replenishment frequency and case‑pack size. Example: The same SKU has a 10‑day lead time, a supplier minimum of 100 units, a reorder cycle of every two weeks and is shipped in case packs of 25.
3. Calculation engine — Using the sell‑through rate and the four inputs, Amazon computes a recommended shipment quantity and a target arrival date. : For SKU “B07XQ9K8L5”, the engine suggests sending 150 units to arrive three days before the projected stock‑out date.