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Supply Chain Analytics

PLAN

Demand Forecasting, Inventory & S&OP Analytics

What is Supply Chain Planning?

Supply chain planning analytics enables data-driven decisions across strategic, tactical, and operational levels:

  • Demand forecasting - Predicting future customer demand
  • Inventory optimization - Balancing stock levels and costs
  • Multi-echelon planning - Coordinating across supply chain tiers
  • S&OP alignment - Integrating sales and operations plans
  • Risk management - Building supply chain resilience

PLAN Use Cases

13 Demand Forecasting

Predictive analytics for customer demand using time-series and ML methods.

14 Inventory Optimization

EOQ, safety stock calculations, and optimal stock level management.

15 Multi-Echelon Optimization

Coordinated inventory management across supply chain tiers.

16 Vendor Managed Inventory

Supplier-managed replenishment with collaborative forecasting.

17 Supply Chain Segmentation

ABC-XYZ analysis and differentiated supply chain strategies.

18 Sales & Operations Planning

Aligning demand and supply plans across the organization.

19 Supply Chain Risk Analysis

End-to-end risk identification and resilience planning.

Planning Analytics Themes

Data Foundation

  • Historical sales & demand
  • Inventory levels & costs
  • Lead time data
  • Market & external factors
  • Capacity constraints

Methods

  • Time-series (ARIMA, Prophet)
  • Machine learning forecasting
  • Optimization algorithms
  • Monte Carlo simulation
  • Scenario analysis

Key Metrics

  • Forecast accuracy (MAPE)
  • Inventory turns
  • Service level / Fill rate
  • Days of inventory
  • Plan adherence

Explore PLAN Cases

13 Demand Forecasting 14 Inventory Optimization 15 Multi-Echelon Optimization 16 Vendor Managed Inventory 17 Supply Chain Segmentation 18 Sales & Operations Planning 19 Supply Chain Risk Analysis

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