Amazon Inventory Forecast for Openclaw

An intelligent FBA inventory forecasting agent that calculates optimal reorder points and quantities to prevent stockouts and overstocking.

mguozhen
v1.0.0
Mar 20, 2026
0
815
1

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install amazon-inventory-forecast

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install amazon-inventory-forecast using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Amazon Inventory Forecast?

Amazon Inventory Forecast is a specialized intelligence tool designed for FBA sellers to eliminate the guesswork from inventory management. By analyzing sales velocity, lead times, and landed costs, the agent provides precise recommendations on when to reorder and exactly how much to purchase. This skill ensures that your capital is not tied up in overstock while simultaneously shielding your account from the devastating effects of stockouts.

Built as part of the Openclaw Skills ecosystem, it leverages a sophisticated weighted-velocity model and safety stock formulas to account for demand volatility. Whether you are managing a handful of SKUs or a complex catalog, this agent acts as a virtual inventory manager that identifies stockout risks, monitors storage fee exposure, and optimizes Economic Order Quantity (EOQ).

Amazon Inventory Forecast Use Cases

  • Preventing Amazon FBA stockouts by identifying reorder triggers before inventory hits critical levels.
  • Optimizing purchase order sizes using Economic Order Quantity (EOQ) to balance shipping costs and storage fees.
  • Planning for seasonal demand spikes like Q4 holidays, Prime Day, and Back-to-School sales.
  • Identifying overstock inventory at risk of incurring expensive long-term storage fees.
  • Automating inventory health reporting for daily or weekly business reviews.

How Amazon Inventory Forecast Works

  1. Data Input: The agent ingests SKU sales data, lead times (supplier + transit + FBA check-in), and unit costs.
  2. Velocity Analysis: It calculates weighted average daily sales by prioritizing the last 30 days of performance over 60 and 90-day windows.
  3. Safety Stock Calculation: A safety buffer is established based on demand variance and lead time to handle shipping delays or sales surges.
  4. Reorder Point Determination: The agent flags a Reorder Now status when current stock levels cross the calculated lead-time demand threshold.
  5. Economic Optimization: It applies the EOQ formula to suggest the most cost-effective order quantity based on annual demand and holding costs.
  6. Reporting: A comprehensive inventory health report is generated, categorizing every SKU by urgency (OK, Reorder Soon, Reorder Now, or Urgent).

Amazon Inventory Forecast Setup

To start managing your inventory with this Openclaw Skills resource, initialize your workspace using the following commands:

# Add your first SKU with sales and lead time data
forecast add <sku>

# Run a check across all tracked items
forecast check

# Generate a full inventory health report
forecast report

Amazon Inventory Forecast Data Schema & Taxonomy

The agent organizes all inventory intelligence within the ~/amazon-inventory/ directory using a structured taxonomy:

File/Folder Purpose
skus.md Central database of tracked SKUs, sales history, and lead time parameters.
forecasts/ Detailed, individual forecast reports generated for each SKU.
alerts.md A live log of critical stockout risks and overstock warnings.
reorder-log.md Historical record of all recommended reorder quantities and dates.

Amazon Inventory Forecast Advanced Features

  • Weighted Demand Forecasting: Automatically applies a 50/30/20 weight to 30, 60, and 90-day sales windows for high-accuracy velocity tracking.
  • Q4 Seasonality Logic: Automatically increases safety stock buffers and applies seasonal multipliers for forecasts spanning October through December.
  • Storage Fee Sensitivity: Predicts months-of-supply to warn sellers before they hit 180-day and 365-day FBA fee thresholds.
  • Case Pack Rounding: All EOQ recommendations are automatically rounded up to the nearest full case pack to comply with FBA inbound requirements.
  • Sensitivity Analysis: Provides EOQ variations at ±20% demand change to help sellers plan for best and worst-case scenarios.

SKILL.md


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