Producing a successful business model is challenging. Maintaining a competitive advantage and positive brand awareness is even more challenging. Price optimization is also a challenge that many businesses face nowadays between profit and lost margins. Consumers are becoming more and more knowledgeable about what they buy. Products and Services have different business models. Supply Chain is also critical for ecommerce businesses. While big data investments require unique summary insights for customers. Each type of business has its unique challenges and responsibilities of regulatory compliance as well as management of employees. One useful way of evaluation is to run a simulation of a business product or service as a dry run. This simulation could incorporate multiagent interactions between buyers, suppliers, and sellers as well as other competitors. Different probabilistic variables could be utilized towards understanding the various uncertainties of the real-world before the business goes into market to introduce a product or service. Venture Capitalists could also utilize such simulations to better measure their investment opportunities and risk for funding a start-up. One example, could include: should company X merge with Company Y, given a set of N competitor companies and how will this effect long-term growth and brand identity. A software company could utilize a simulation to understand how the product will run against changing trends. Even a failing business could utilize such simulations to get a better insight on how to turn it into a profitable venture. There may be aspects of business that have been overlooked that a simulation could bring to light. One has simulations to load test production applications. One even has economic models to understand a nation's economy. Defence enterprises utilize simulations to model strategies for warfare. Why not have a simulator to dry run a business idea for the potential of profitability in future or even to understand the existing market challenges.
