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Dynamic information flow in esupply networks requires that buyers and suppliers have the ability to react rapidly when needed. Using intelligent agents to automate the process of buyer/seller interaction has been proposed by a number of researchers. One problem in providing intelligent automated collaboration is incorporating learning capability i.e. an agent should be capable of adapting its behaviour as conditions change. This paper proposes a scalable multi-agent system which uses case-based reasoning as a framework for at least part of its intelligence. Tests with a simulated system show that such an agent is capable of learning the best supplier and also capable of adapting if supply conditions change.