Workload Planning Service - Business Capabilities

Service Overview: The Workload Planning Service forecasts warehouse workload, optimizes labor allocation, manages shift planning, and provides predictive analytics to ensure adequate staffing levels and resource availability.

Architecture: Microservices with ML Integration Technology Stack: Spring Boot 3.2, PostgreSQL, Redis, Apache Kafka, Python ML Services Domain Model: Time-series forecasting with constraint-based planning

L1: Intelligent Workforce Optimization

L1.1: Strategic Value

• Labor Efficiency: 25% improvement in labor utilization
• Cost Reduction: 15% reduction in overtime costs
• Forecast Accuracy: 90%+ workload prediction accuracy
• Adaptability: Real-time plan adjustments based on actuals

L2: Core Capabilities

L2.1: Workload Forecasting

• ML-based demand prediction (hourly, daily, weekly)
• Historical pattern analysis and seasonality detection
• Order volume and complexity scoring
• Proactive capacity planning

L2.2: Labor Planning & Scheduling

• Shift planning with skill matching
• Break scheduling and coverage management
• Overtime optimization
• Multi-skill worker allocation

L2.3: Real-Time Workload Monitoring

• Live vs. planned variance tracking
• Productivity metrics by worker and team
• Bottleneck identification
• Dynamic reallocation recommendations

L2.4: Resource Allocation

• Equipment assignment (forklifts, pallet jacks, RF devices)
• Zone coverage planning
• Cross-training recommendations
• Contingency planning for absences

Key Metrics

• Forecast accuracy: 90%+
• Labor utilization rate: 85-90%
• Plan adherence: 80%
• Overtime percentage: < 5%

Performance Targets

• Forecast generation: < 10 seconds
• Schedule optimization: < 30 seconds
• Real-time monitoring refresh: < 5 seconds
• System availability: 99.9%