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Inventory Management - v2.0

Track salsa ingredients with AI-powered predictions and real-time IoT sensor monitoring.

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Overview

Our v2.0 inventory management system uses artificial intelligence and IoT sensors to provide intelligent tracking, predictive ordering, and automated waste prevention.

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Key Features

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AI-Powered Tracking

Monitor your ingredient levels with intelligent predictions:
  • Predictive stock levels: AI forecasts when you’ll run out
  • Automated reordering: Smart ordering based on usage patterns
  • Usage predictions: Machine learning predicts ingredient needs
  • Anomaly detection: AI identifies unusual consumption patterns
// Example: Get AI inventory predictions
const predictions = await salsa.ai.inventory.predict({
  location: "kitchen_1",
  horizon_days: 7
});

console.log(`Predicted reorder date: ${predictions.reorder_date}`);

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IoT Sensor Integration

Real-time monitoring with connected sensors:
  • RFID tracking: Automatic ingredient scanning
  • Temperature sensors: Monitor refrigeration conditions
  • Weight sensors: Real-time stock level tracking
  • Freshness sensors: Chemical sensors detect spoilage

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Smart Waste Prevention

AI-driven waste reduction:
  • Predicts optimal order quantities
  • Suggests recipes to use near-expiry ingredients
  • Identifies waste patterns and root causes
  • Reduces waste by up to 60% compared to v1.0

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Stock Management

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AI-Powered Low Stock Alerts

Intelligent alerts that learn from your patterns:
  • Predictive alerts before you run out
  • Seasonal adjustment recommendations
  • Event-based usage predictions
  • Supplier lead time optimization
Note: New in v2.0: AI learns your usage patterns and automatically adjusts alert thresholds based on historical data and upcoming events.

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Automated Supplier Integration

Seamless ordering with AI optimization:
  • Automatic purchase order generation
  • Price comparison across suppliers
  • Quality-based supplier recommendations
  • Delivery schedule optimization

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IoT Dashboard

Real-time sensor monitoring:
  • Live temperature readings
  • RFID location tracking
  • Weight-based inventory levels
  • Freshness indicators

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AI Insights

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Usage Pattern Analysis

AI identifies trends and patterns:
  • Peak usage times by day/season
  • Recipe popularity trends
  • Waste hotspots
  • Cost optimization opportunities

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Predictive Ordering

Let AI handle your ordering: 
// Example: Enable AI auto-ordering
const autoOrder = await salsa.ai.inventory.enableAutoOrder({
  location: "kitchen_1",
  max_order_value: 5000,
  approval_required_over: 1000,
  preferred_suppliers: ["sysco", "us_foods"]
});

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Getting Started

  1. Connect IoT Sensors Install RFID tags and temperature sensors in your storage areas.
  2. Enable AI Features Activate AI predictions and import 90 days of historical data.
  3. Configure Auto-Ordering Set up automated ordering rules and supplier preferences.
  4. Monitor & Optimize Let AI learn from your patterns and optimize over time.
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