Physics simulation model have become essential tools in Amazon’s fulfillment network for analyzing and optimizing material handling equipment (MHE) design. This paper presents a modular framework developed using Emulate3D to model MHE across multiple Amazon fulfillment facilities. The framework incorporates three main components: material to be handled module, material flow control module and package chute module. Through comprehensive validation against pilot results and statistical analysis, the model demonstrates high fidelity in replicating real-world operational dynamics. The framework’s applications span from future automated conveyance flow control logic optimization to existing chute design retrofits. The physics model is used to identify chute jams before launch, location of sensors, optimal jam free merge logic, reducing time/cost for development. Key challenges including package softness, human operator behavior representation, and unexpected operational events are discussed. The study concludes by highlighting future directions in physics simulation to enhance simulation fidelity.