Inefficiencies in the food supply chain system negatively affect consumer pricing, the carbon footprint, food waste, and expected freshness. In the absence of consistent and well-designed certification processing, inefficiencies between producers and suppliers are estimated to be $60 billion annually. We present a multi-tier supply chain food system consisting of suppliers and retailers that provide perishable goods to consumers, and provide a framework to assess the efficiency, resiliency and sustainability of such a system. Inventory is used to optimize the flow of goods through the supply chain, and the effect of inventory-information sharing between suppliers and retailers is considered, which effectively corresponds to blockchain adoption. We present early results from a data-driven model that is able to incorporate a) state-dependent price schedule, b) state-dependent demand function, and c) uncertainty in production capacity and delivery times.