Run pricing and offer experiments with Thompson Sampling: reward feedback, posterior updates, and an offline policy-replay report to validate a strategy before it touches real revenue.
Explore and exploit balanced automatically as data arrives.
The bandit learns from real outcomes, not assumptions.
Validate a policy on historical data before going live.
I ship it tested, documented, and ready to run in your stack.