How to Build a Trustworthy A/B Testing Platform for Complex Fulfillment Scenarios
This article presents a comprehensive guide to designing, implementing, and analyzing a reliable A/B testing platform for Meituan's multi‑side fulfillment business, covering statistical pitfalls, experiment types, traffic‑splitting frameworks, automated analysis engines, and practical solutions for overflow effects, small samples, and fairness constraints.
