Supply Chain Analytics & Model Validation

What we do

Applied operations research and statistical validation. We build the model, or we test yours the way an auditor or an opposing expert would: assumptions, data, method, and sensitivity.

• •Demand planning: forecasting and forecast validation
• •Procurement and sourcing analytics: supplier selection, cost and risk trade-offs, spend analysis
• •Production and inventory planning: safety stock, capacity, and S&OP models
• •Production scheduling and fulfillment planning
• •Supplier data quality and risk: early detection of supplier problems
• •Decision analysis under uncertainty: when to commit capital, when to hold, and what it costs to be wrong
• •Statistical methodology review, data quality assessment, and validation frameworks
• •Independent review of technical, regulatory, and supply chain models before you act on them