Today's world is full of enormously inter-linked countries and businesses. Therefore, business planning decisions should take into account the linkages between different business segments as well as countries. Government policies also affect businesses not only in the home country but also elsewhere. However, typically business analysts who work on forecasts and planning do not account for changes in terms of policies and supply chains in their countries and elsewhere. In this session, we propose a framework that marries data-intensive computational methods employed in economic modeling with business decision making. The framework we propose is well-known in computational economics, called Computable General Equilibrium (CGE) model. It captures equilibrium in all markets in the economy, and tracks the movement from one equilibrium to another, in the presence of a perturbation from outside the system - like a policy shock, technological change or disaster. This framework employs publicly available rich information on linkages between countries and business segments to evaluate the market changes that can arise from major global and local policies as well as technological changes and disasters such as pandemics. This has immense potential to facilitate a scientific approach to handle future uncertainties involved in analytics for business decisions. This can be used for manufacturing sector or any other sector, to adjust their business strategies to external environments. Technically, we will discuss about data concepts in supply chain economics - called Input Output matrix-based models, which may further be built with behavioral equations that may be parametrized using AI/ML methods or conventional econometric techniques. In real time, we will show a classic example of this kind of a model - an open source global supply chain CGE model, named Global Trade Analysis Project (GTAP: www.gtap.org). We will conduct simulations to show how US-China trade war can affect different sectors in India, and how Covid-19 pandemic is impacting several sectors in India, based on our recent research with several international public organizations (ADB, UN, US Chamber of Commerce etc.) We shall provide study materials and links to download the software needed, ahead of the session. We will need atleast 45 minutes or 90 minutes (or even half a day session), to make sure that the audience can learn something actionable from this. These tools have been used by top consulting firms like McKinsey and almost all international organizations and governments, for example, for key decision making. There is also a lot of scope to use standard AI/ML tools herein. The purpose of this session is to both introduce these tools to the audience and also encourage them to collaborate on developing AI/ML solutions for some challenges in these tools, such as lack of accuracy in capturing the behavior of different components of the economy and forecasting the future.