REBECCA YENER / ANALYTICAL PORTFOLIO

Supply Chain Analytics
& Optimization

Applying statistical modeling, cost analysis, probability, and operations research to improve sourcing, inventory, and logistics decisions.

Explore the forecast model All demonstrations use synthetic data

Practical applications.
One connected supply chain.

MODEL → TEST → DECIDE

PROFESSIONAL EXPERIENCE, IN PRACTICE

These independently built models illustrate the analytical methods used in sourcing, purchasing, supply planning, inventory, and logistics. Every company, product, transaction, and result shown here is fictional.

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Enable JavaScript to run the interactive models. The portfolio includes statistical inventory optimization, landed cost, rolling forecast analysis, container loading, month-end supply planning, freight profitability, and purchase price variance. All examples use fictional data.