inventory-forecasting-skill

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inventory-forecasting-skill

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Inventory demand forecasting agent skill that analyzes sales velocity to predict stock-out dates and generate automated replenishment purchase orders.

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.gitignore
example_usage.py
forecaster.py
README.md
requirements.txt
skill.json

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// repository documentation

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This repository contains the **Inventory Demand Forecasting Skill** — an agent skill configuration interface (`skill.json`), developer Python SDK (`forecaster.py`), and executable validation scripts designed to predict product stock-out dates, compute reorder trigger windows, and auto-draft supplier purchase orders.

---

## 🚀 Capabilities

* **Smoothed Velocity Engine:** Calculates average daily sales velocity from 30-day history while automatically filtering out promotional spike outliers (e.g. flash sale days above 3x average).
* **Stockout & Reorder Projection:** Maps current stock to a projected depletion date, then back-calculates the last safe purchase order date based on supplier lead time + safety buffer.
* **Automated PO Drafting:** Generates structured ERP-ready purchase order payloads (PO number, SKU, quantity, estimated delivery date, unit cost, total cost) for immediate use in procurement systems.

---

## 🛠️ Setup & Installation

1. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```

2. Configuration:
   Set your API environment variable if connecting to a live forecasting backend. Otherwise, the client auto-activates in mock mode:
   * **PowerShell**:
     ```powershell
     $env:FORECAST_API_KEY="your_api_key"
     ```
   * **bash**:
     ```bash
     export FORECAST_API_KEY="your_api_key"
     ```

---

## 💻 SDK Usage Reference

```python
from forecaster import InventoryForecastingClient

client = InventoryForecastingClient()

sales_history = [
    {"date": "2026-06-01", "units_sold": 20},
    {"date": "2026-06-02", "units_sold": 18},
    # ... 30 days of data
]

result = client.forecast(
    sku="SKU-001",
    current_stock=450,
    sales_history=sales_history,
    lead_time_days=14,
    safety_stock_days=7
)

print(f"Stockout Date: {result['stockout_date']}")
print(f"Reorder By: {result['reorder_trigger_date']}")
print(f"Order Qty: {result['suggested_order_quantity']} units")

# Generate purchase order draft
po = client.build_purchase_order(
    sku="SKU-001",
    qty=result['suggested_order_quantity'],
    reorder_date=result['reorder_trigger_date'],
    lead_time_days=14,
    unit_cost=12.50
)
```

---

## 📜 License
This project is licensed under the MIT License.

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