An effective picker schedule in warehouses in Quick-Commerce addresses the challenge of resource utilization while maintaining low delivery time. The talk focuses on the challenges in running decision science experiments with humans involved, and embracing learnings by strategizing: How to utilize limited and unclean data caused by stochastic activities and human-error in warehouses? How to draw insights while navigating uncertainties? How to optimize operational decision making processes?