Warehouse Configuration

SJ
Sarah Johnson

⚙ī¸ Smart Configuration Management

Managing 247 configuration parameters â€ĸ AI optimization recommendations active â€ĸ System health: 98.7%
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OPTIMIZATION

AI Configuration Recommendations

Machine learning algorithms analyzed 30 days of performance data and recommend 12 parameter adjustments to improve efficiency by 8.3% while maintaining quality standards.

Parameters to adjust: 12 Efficiency gain: +8.3% Confidence: 94.7%
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ALERT

Configuration Drift Detection

Automated monitoring detected 3 settings have drifted from optimal values due to seasonal changes. AI recommends immediate adjustment to prevent 12% performance degradation.

Drifted settings: 3 Risk level: Medium Action needed: 24hrs
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OPTIMIZED

Smart Parameter Tuning Success

AI-driven parameter optimization completed successfully, resulting in 15% reduction in pick times and 22% improvement in space utilization through intelligent threshold adjustments.

Pick time: -15% Space utilization: +22% Parameters optimized: 18

đŸĸ Warehouse Configuration

Configure basic warehouse parameters and layout settings

Basic Information

Primary identifier for this warehouse facility
Total warehouse floor space
Standard operating schedule

Zone Configuration

Zone A - High Velocity Active
Zone B - Medium Velocity Active
Zone C - Low Velocity Active

⚡ Operations Configuration

Configure operational parameters and workflow settings

Pick Path Optimization

Method used for pick path calculation
Maximum items per pick batch
Allow real-time path adjustments

Task Assignment

How tasks are distributed to workers
High Priority hours
Medium Priority hours
Low Priority hours

đŸ“Ļ Inventory Management

Configure inventory thresholds and reorder parameters

Reorder Management

Automatically generate purchase orders
Safety stock percentage for reorder calculations
Additional days added to supplier lead time

ABC Classification

A Items (High Value) % of total value
B Items (Medium Value) % of total value
C Items (Low Value) % of total value

🤖 AI & Automation Configuration

Configure AI models and automation parameters

AI Model Settings

How quickly AI adapts to new patterns
85% Minimum confidence for AI recommendations
Allow AI to learn from new data continuously

Automation Rules

Auto Pick Path Optimization
Trigger: Every minutes when efficiency drops below %
Inventory Reorder Automation
Auto-approve orders under $ with % confidence
Quality Alert System
Alert when accuracy drops below % for consecutive hours

🔔 Alerts & Notifications

Configure alert thresholds and notification preferences

Alert Categories

🚨 Critical Alerts
⚠ī¸ Warning Alerts
ℹī¸ Information Alerts

Notification Channels

📧 Email Notifications
📱 SMS Alerts
🔔 In-App Notifications
Real-time notifications within the application

🔗 System Integrations

Configure external system connections and data synchronization

Connected Systems

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E-commerce Platform
Connected - Real-time sync
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ERP System (Microsoft D365 F&O)
Connected - Real-time sync
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ERP System (Microsoft D365 BC)
Connected - Hourly sync
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Shipping Carrier API
Disconnected
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Financial System
Connected - Daily sync

API Configuration

Maximum API requests per minute
How often to synchronize data
Log all API requests for debugging
Last saved: December 15, 2024 at 2:47 PM