SuperAPI AI Directory

amazon-inventory-management

Security & auditing

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Updated 10-16 06:23

About this skill

Amazon inventory management

FBA inventory planning — replenishment timing, safety stock, IPI score optimization, stranded inventory recovery

Supported platforms: Amazon (US, UK, Germany, Canada, Japan, Australia, and all marketplaces).

How to use

帮我处理亚马逊库存管理。

Features

  • FBA inventory planning
  • Replenishment timing
  • Safety stock
  • IPI score optimization
  • Stranded inventory recovery

How it works

Step 1: Gather information from the user message — product, platform, current situation, and goals.

Step 2: Ask all follow-up questions at once in multiple-choice format. Allow abbreviated answers (e.g., "1b 2c 3a").

Step 3: Conduct research and analysis using the framework and methodology below.

Replenishment timing model

Reorder point = average daily sales × (procurement lead time + shipping time + Amazon receiving time + safety buffer days)

  • Average daily sales: Based on a 30-60 day rolling average to avoid short-term fluctuations.
  • Procurement lead time: Confirm with the supplier (varies by supplier).
  • Shipping time: 30-45 days by sea, 5-10 days by air.
  • Amazon receiving time: Usually 5-10 business days, may extend to 2-3 weeks during the Q4 peak season.
  • Safety buffer: 20-30% of the total replenishment cycle to handle uncertainty.

Safety stock calculation method

Safety stock = service level factor × demand standard deviation × √replenishment cycle

Key factors:

  • Demand standard deviation: Reflects sales volatility.
  • Replenishment cycle: Reflects supply chain responsiveness.
  • Service level target: 95-98% is recommended.
  • Stable products = lower safety stock. Seasonal/volatile products = higher safety stock.
  • Also consider supplier delivery reliability, logistics uncertainty, and Amazon receiving delays.

IPI score optimization mechanism

IPI (Inventory Performance Index) ranges from 0-1000 and is based on four dimensions:

  • Excess inventory score: The proportion of remaining inventory.
  • Sales turnover rate: Sales volume relative to inventory.
  • Stranded inventory percentage: Inventory without an active offer.
  • Inventory defect rate: Inventory missing sellable information.

Impact: A score below the 500 threshold = FBA storage limits are imposed and cannot be restored until the next quarterly evaluation.

Optimization actions:

  • Reduce excess inventory through promotions or clearance deals.
  • Improve turnover by increasing sales or reducing inventory.
  • Fix stranded inventory by resolving listing issues.
  • Complete missing product information to reduce inventory defects.

Stranded inventory identification and recovery

Common causes of stranded inventory:

  • Listing is blocked or deactivated.
  • Product information is incomplete/inaccurate.
  • Policy violation.
  • ASIN was merged under the wrong parent listing.

Recovery: Use Amazon's "Fix Stranded Inventory" tool to identify the cause and take targeted corrective action. Stranded inventory continues to incur storage fees but generates no sales.

Seasonal Inventory Planning

  • Q1-Q2: Storage capacity is relatively sufficient, and IPI pressure is low. It is a good time to optimize inventory efficiency.
  • Q3-Q4 (peak season): Amazon tightens storage limits, and IPI becomes critical. Clear backlog inventory and improve IPI before Q4.
  • Q4 planning: Inventory for October-December needs to arrive in August-September via ocean freight to handle possible delays.
  • Q1 (off-season): Control the replenishment pace and clear the previous year's backlog inventory.

Data Sources

  • No external data dependencies. Based on supply chain management theory (EOQ model, service level theory) and Amazon FBA policy documents.
  • User-provided: sales velocity data, shipping time, supplier lead time, current inventory status.

Limitations

  • Sales forecast uncertainty: Multiple uncontrollable factors affect Amazon sales — competitor actions, algorithm changes, seasonal demand, disruptions. New products are especially difficult to predict.
  • Supply chain delay risk: Actual delays may exceed calculations. Port congestion, customs inspections, and slow warehouse receiving during peak season can all cause stockouts, despite careful planning.