Stochastic Run Theater
1,000 iterations of the joint distribution, running before your eyes.
Watch the Mode 1 stochastic solve run across N iterations of the joint distribution. Each iteration is a single trajectory through the planning horizon, with its sampled values of demand, lead times, capacity, FX, and named risk events all visible. The KPI distributions build iteration by iteration. At the end, the histograms are complete; the deterministic commit at the policy's posture is overlaid on each distribution.
Buyers have heard "stochastic" and "Monte Carlo" for years without ever seeing what the words mean in operation. The Theater makes the abstract concrete — the visitor watches uncertainty get evaluated, sees the distributions actually emerge, sees the percentile choice constrain the deterministic commit. The word "stochastic" stops being marketing language and becomes a thing the visitor has watched happen on a screen.
Per-iteration interrogation is the data-science evaluator's affordance. Pause any iteration. Inspect it. What was the sampled demand for SKU-A-2891? What was the sampled lead time on the Taiwan FPGA lane? What was the sampled FX? Which named risk events fired in this iteration? What did the solver commit to in this trajectory? The Theater is also a debugging surface — when a customer's data science lead asks "why did the Mode 1 solve commit to this PO release date," the Theater is where the answer lives.