AGILE DATA DRIVEN DECISIONS

Unlike current supply chain planning software that rely on stylized mathematical models which make strong mathematical assumptions, we take a data driven approach where the input data is used to directly drive the end decisions. Our decision framework has been carefully designed to produce optimal solutions (unlike most machine learning formulations which do not guarantee optimal results). Our approach also reduces reliance on forecast accuracy for supply chain planning and adjusts for human biases in supply chain decision makings... Supply chain planners need a way to quantify the impact of both past and future scenarios in order to evaluate risk mitigation strategies, adapt their supply chain structure, and make better decisions. AD3 is the first to build a tool, the supply chain digital twin, that gives planners these capabilities. The digital twin uses the granular data from AD3's data storage solution in order to create a parallel universe where the underlying world - the..