Operations & Supply Chain · Supply Chain Management

Predictive Analytics for Operations: Demand Forecasting & Inventory Optimization

Lead the analytics transformation at Moda Dinamica, a Mexican fashion retailer. Configure ML forecasting systems, optimize inventory allocation across 20 stores, and respond to demand disruptions over 4 selling seasons to reduce markdowns, cut stockouts, and boost gross margin.

4 rounds Executive English, Español
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Preview

Who it is for

An advanced simulation for participants used to working with the main frameworks and trade-offs of the subject, designed for executive education and experienced professionals.

How a session runs

  1. The instructor creates a session from the Eureka dashboard and invites the participants.
  2. Participants play 4 rounds. In each one they submit their decisions and the simulation calculates the results.
  3. The simulation can be run in English, Español.
  4. The instructor follows each participant's progress and results from the dashboard, and uses the class results for the debrief.

Decisions participants make

The decisions participants make during the simulation:

  • ML Forecast Investment (thousands MXN)
  • Trend Item Allocation (%)
  • Safety Stock Multiplier (x100)
  • Markdown Trigger Week

What participants track

What participants follow on screen as the rounds go by:

  • Season Briefing
  • Season Decisions
  • Season History

Subjects covered

Designed for courses in Supply Chain Management.

  • Demand Forecasting & Planning
  • Inventory Management & Optimization
  • Data Analytics for Business Decision Making

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