01 · COMPANY
Cinema · Market · Competitor · Audience
Context · Root cause · Evidence
Options · Value · Risk
Approve · Execute · Integrate
Predicted vs. Actual
Model update · Decision quality
Reusable organizational knowledge
Not one black-box model.
Cinema data + market + competition.
Rules + anomalies + benchmarks.
Demand + scheduling + pricing + audience.
A/B/C scenarios with value ranges.
Value × confidence × feasibility × risk.
Actual vs baseline → memory.
Simplified examples.
Cinema operations are a high-frequency resource-allocation problem.
Different systems, different semantics.
Every action changes another constraint.
Yesterday's model can be wrong today.
You need a counterfactual.
Insight without action is not enough.
Explainability drives adoption.
Built around cinema economics.
Inside + outside view.
Recommendation → approval → execution.
Measure what actually worked.
Test before committing resources.
Learning compounds.
| Decision | Predicted | Actual | Result |
|---|---|---|---|
| Session Optimization | +$620 | +$674 | Verified |
| Audience Campaign | +$2,100 | +$1,940 | Verified |
| Dynamic Pricing | +2.4% | +0.6% | Rolled Back |
| Capacity Reallocation | +$1,600 | +$1,850 | Verified |