inventory-optimizer-package-23384069 1.1.4

A simple package that ensures stock level in inventory is always optimal

Inventory Optimizer

A Django library for optimizing inventory levels based on weekly sales patterns.

Features

• 7-day sales analysis
• Daily average usage calculation
• Reorder point recommendations
• Automated stock alerts
• Simple integration with Django models

Installation

pip install inventory-optimizer-package-23384069

Quick Start

from inventory_optimizer import InventoryOptimizer

# Initialize optimizer
optimizer = InventoryOptimizer(min_stock_threshold=10)

# Generate recommendations
recommendations = optimizer.generate_recommendations(
    product_id=1,
    product_model=Product,
    inventory_model=Inventory,
    notification_model=Notification
)

Requirements

• Python >= 3.6
• Django >= 3.2

Configuration

The optimizer uses:

• 7-day analysis period
• 3-day stock threshold for reorder points
• Minimum stock threshold (configurable)

API Reference

InventoryOptimizer(min_stock_threshold=10)

Main class for inventory optimization.

calculate_weekly_average(product_id, inventory_model, start_date=None, end_date=None)

Returns daily average sales based on 7-day history.

generate_recommendations(product_id, product_model, inventory_model, notification_model)

Returns dictionary with:

• current_stock
• daily_average_usage
• reorder_point
• recommended_order
• needs_reorder

License

MIT