Vanguard Monte Carlo Simulation Add-on

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Simulate Complex Systems to Manage Risk

The Monte Carlo Simulation Add-on gives you the ability to perform Monte Carlo simulations and sensitivity analyses.

  • Model uncertainty and volatility
  • Simulate complex systems
  • Manage business opportunity and risk

Reveal the full range of potential business outcomes and the probability of each, such as the likelihood of reaching specific targets or sustaining specific losses. Replace point estimates with fuzzy values to factor uncertainty.

Like decision trees, Monte Carlo simulations produce expected values for distinct courses action. Vanguard’s artificial intelligence and advanced programming add to this the ability to model highly complex systems such as production processes and consumer behavior.


  • Distribution gallery
  • Automatic distribution fitting using historical data
  • User-defined distributions
  • Automatic sensitivity analysis
  • 60 times the speed of spreadsheets
  • Optional grid computing for speeds over 1,500 times that of spreadsheets
  • Correlated inputs
  • Unlimited number of Stochastic inputs
  • Output reports including distribution graphs and statistics

Automate Your Supply Chain Planning

With Vanguard Predictive Planning™, most of the supply chain planning process can be automated through artificial intelligence, prescriptive analytics, a robust rules engine and extensive workflow.

Planners are left to make potential overrides and provide oversight for exceptions.  Through a unified IBP platform, organizations can now understand true end to end implications of any sales forecast or demand change real time.

Client Results

“Billions [of dollars] in operating margin and trillions in market capitalization separate supply chain winners from losers,” according to AMR Research. With Vanguard Predictive Planning™, best-in-class planners see:


Reduction in inventory


Increase in perfect-order fulfillment (complete, accurate, and on time)


Shorter cash-to-cash cycle times


Fewer stock-outs than competitors