Inventory Strategy Agent for Openclaw

An AI-driven retail inventory diagnostic tool that generates data-backed action strategies using quadrant analysis and lifecycle tracking.

jackyujun
v1.0.0
Apr 3, 2026
0
767
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install inventory-strategy

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 inventory-strategy 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 Inventory Strategy Agent?

The inventory-strategy skill is a sophisticated framework designed for retail health diagnosis and automated decision-making. By leveraging the Openclaw Skills ecosystem, it integrates directly with semantic data layers to perform four-quadrant classification based on sell-through rates and stock-to-sales ratios. This skill helps retail managers move beyond simple data viewing into actionable business intelligence.

At its core, the skill provides a three-phase diagnostic workflow that ensures human-in-the-loop oversight while automating the heavy lifting of data aggregation. It specifically targets problem areas such as stagnant inventory and replenishment gaps, providing professional-grade HTML reports and Excel action plans to streamline operations.

Inventory Strategy Agent Use Cases

  • Periodic inventory health audits to identify stagnant stock and overstock risks.
  • Automated replenishment planning based on daily sales velocity and stock-to-sales ratios.
  • Seasonal transition management by identifying end-of-season items for clearance.
  • Brand-level performance deep dives to optimize category-specific inventory levels.
  • Stress testing inventory resilience for upcoming high-traffic promotion events.

How Inventory Strategy Agent Works

  1. Data Discovery: The skill utilizes the metric-query Gateway to search for and validate inventory metrics like sell-through rate, stock quantity, and on-market days.
  2. Diagnostic Scan: It executes precise queries to capture a snapshot of the current inventory state, strictly adhering to time constraints to ensure data accuracy.
  3. Quadrant Classification: Products are categorized into a matrix (Healthy, Overstock, Stagnant, or New Arrival) based on performance thresholds.
  4. Lifecycle Correction: The agent adjusts classification based on 'on_market_days' and 'season' to distinguish between slow-moving new items and true stagnant stock.
  5. Action Generation: Upon user confirmation, it matches inventory states against prioritized business rules (R1-R6) to calculate suggested restock volumes or discount depths.

Inventory Strategy Agent Setup

To use this skill effectively, the metric-query skill must be loaded beforehand to handle the underlying data requests.

# Load the required dependency
openclaw load metric-query

# Trigger the inventory diagnosis
openclaw run inventory-strategy --query "analyze my current inventory health"

Inventory Strategy Agent Data Schema & Taxonomy

The skill organizes its output into a structured diagnostic taxonomy. Below is the primary classification schema used by this Openclaw Skills component:

Classification Logic Business Action
Q1 Healthy Sell-through >= 40%, SSR < 0.5 Maintain current strategy
Q2 Overstock Sell-through >= 40%, SSR >= 0.5 End-of-season clearance
Q3 Stagnant Sell-through < 40%, SSR >= 0.5 Aggressive promotion (P0)
Q4 Observation Sell-through < 40%, SSR < 0.5 Weekly monitoring (New arrivals)
Stockout Risk SSR < 0.15 Urgent replenishment (P0)

Inventory Strategy Agent Advanced Features

  • Lifecycle-Aware Correction: Automatically shifts items from 'Observation' to 'Stagnant' if on-market days exceed 90 days without meeting sell-through targets.
  • Rule-Based Action Engine: Priority-coded intervention suggestions (P0-P2) based on inventory value and urgency.
  • Multi-Format Reporting: Generates dark-themed interactive HTML reports for management and structured XLSX files for operational execution.
  • What-if Stress Testing: Simulates inventory depletion timelines based on hypothetical growth rates for upcoming sales events.
  • Current Discount Integration: Suggests new discount depths by referencing existing 'discount_rate' to avoid margin erosion.

SKILL.md


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