Overview

Amazon’s Restock Inventory tool gives FBA sellers a data‑driven way to decide how many units to send to fulfillment centers and the optimal ship‑by dates. The feature pulls sales history, forecast models and seasonal signals, so sellers can move from guesswork to precise inventory planning.

Key Points

• Quantity recommendation — The system suggests a restock amount based on recent weekly sales; for example, a seller moving 120 units of a kitchen gadget per week may see a recommendation of 360 units to cover the next three weeks.
• Ship‑by date guidance — Alongside the quantity, the tool provides a deadline for dispatch; in the same scenario, it might advise shipping the 360 units by May 20 to ensure arrival before projected demand spikes.
• Adjustable lead‑time setting — Sellers can tell the tool how many days it takes from supplier order to Amazon receipt; a 14‑day lead time for a private‑label supplement will shift the ship‑by date later than a 7‑day lead time for a fast‑moving toy.
• Case‑pack alignment – If a product is shipped in cartons of 24, the tool rounds the recommended quantity to the nearest multiple of 24, preventing partial cases that would increase handling costs.
• Replenishment frequency control — Users may choose weekly, bi‑weekly or custom intervals; a seller who prefers bi‑weekly restocks for a high‑margin accessory can set the tool to generate recommendations every two weeks instead of daily.
• Direct shipment creation — From the Restock Inventory screen, a seller can click “Create shipment” and the system pre‑populates the packing list, saving the manual entry steps required on the standard shipping page.

How Restock Inventory Works

1. Collect recent sales data — The tool extracts the last 30 days of order volume for each ASIN; for a seller who sold 80 units of a fitness band in that window, the baseline demand is set at roughly 2.7 units per day.
2. Apply Amazon’s demand‑forecast algorithm — Seasonal modifiers and market trends are layered onto the baseline; if the same fitness band historically sees a 40 % surge in June, the algorithm inflates the projected daily demand to about 3.8 units.