Bayesian Decision-Making at Scale
Great priors don’t appear magically; they’re guided by subject-matter experts and historical context. Use structured interviews, quantile checks, and prior predictive simulations to stress-test assumptions. Invite your finance lead to co-create priors and watch trust in analytics soar.
Bayesian Decision-Making at Scale
A retailer stabilized volatile store-level forecasts using hierarchical Bayesian models, borrowing strength across similar locations. The result: fewer stockouts, kinder safety stocks, and happier managers. Want to try it? Share your hierarchy structure, and we’ll suggest a sensible model specification.
Bayesian Decision-Making at Scale
Move beyond accuracy metrics to minimize real costs. Define asymmetric penalties for overstock, churn, or false alarms. Then choose actions that minimize expected loss under the posterior. Comment with your cost asymmetry, and we’ll help translate it into a decision rule.