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Agent-based Commodity Flow Management

In today's business, information is crucial to success. Having enough information and being able to make proper use of it brings increased efficiency, which results in greater savings, and faster reaction time which in turn allows to capitalize on opportunities and thus increase income. This is why businesses invest in Enterprise Resource Planning systems. Software Agent technology brings new approach to modelling such decision-making systems. An agent as a concept can be easily related to a human employee performing a specific task within the company's decision chain. This and other agent features should allow designers of ERP systems to implement traditional business methodologies in a computer system without much effort. This thesis will investigate this by designing and implementing an agent system for commodity flow management. The system will manage supply levels in a warehouse, and by using demand forecasts it will communicate with wholesalers to collect their offers and pick the best one to restock ahead of time, so that the warehouse will not run out of supplies. This system will provide logistics support for the existing agentbased e-commerce system.