Overview

Amazon has introduced a new case‑pack recommendation engine inside Seller Central that surfaces data‑driven suggestions for bundling identical units into multi‑unit listings. Launched in early 2024, the tool aims to help sellers tap existing bulk‑purchase demand, lift average order value, and improve inventory turnover.

Key Points

• Data‑backed picks — The engine flags products that already see three‑plus units per order in Amazon’s sales history.
• Two recommendation streams — Sellers receive suggestions for creating brand‑new case packs and for adding offers to existing case‑pack ASINs in their catalog.
• Exportable insights — A bulk download lets sellers sort recommendations by inventory, margin, or fulfillment cost in a spreadsheet.
• Pricing focus — Amazon stresses that the per‑unit discount must be deep enough to attract bulk buyers without eroding profitability.
• Best‑fit categories — Office supplies, household staples, health‑and‑beauty items, and pet products show the strongest case‑pack potential.

How the Case Pack Recommendations Tool Works

1. Data collection — Amazon scans order‑level data across the marketplace to identify SKUs where customers frequently purchase two or more units in a single checkout; for example, a seller of reusable water bottles sees 28 % of orders contain three or more bottles.
2. Candidate ranking — The system ranks those SKUs by factors such as sales velocity, inventory depth, and profit margin, then surfaces the top 10‑15 as “high‑confidence” case‑pack opportunities. A seller of printer paper might see a recommendation to list a 5‑pack because the product already sells 4‑unit orders 15 % of the time.
3. Recommendation delivery — Sellers access a dedicated dashboard where each suggestion includes a proposed pack size, suggested price range, and a link to any existing case‑pack ASINs that could be supplemented. For instance, a cosmetics brand sees a prompt to add a 12‑unit “travel‑size” pack alongside an already‑ranked 6‑unit listing.