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Ongil helps Consumer Product Goods enterprises make data driven decisions under uncertainty and in situations with limited data. It supports Fortune-500 enterprises with decisions around their supply chain and e-commerce functions. The startup achieves this using its tools and algorithms which provide accurate and actionable prescriptions with limited data. The platform is built by a team of data scientists trained in computational neuroscience, theoretical physics, simulation systems and operations research.
Insights from data are rarely needed for operating in Business-As-Usual situations. Most of the enterprise data is collected during the BAU times. However, data driven decision making is of great significance in uncertainty and emerging scenarios (like COVID, new markets, new regulations). But paradoxically, during such situations, enterprises don’t have the data and tools for analysis when they need it the most. Unfortunately, with climate change related disruptions predicted only to become more severe, we have not seen the last of big disruptions with the COVID-19 pandemic. Enterprises who learn to swim in this new sea of volatility will emerge the winners. Fortunately, there are advances in computational sciences that enterprises can use to overcome this enormous challenge.
