Agent-based grocery shopping system based on user´s preference

We propose an agent-based grocery shopping system, which automates grocery shopping process by comparing grocery information based on user´s preference. The agents gather grocery information from several store server agents and compare it with user´s preferences of groceries and stores. The agents could adapt to user´s up-to-date preference by learning from his/her evaluation of previous shopping results. There are three organization agents in our system: a user agent, an information management agent, and a store server agent. The organization agent is responsible for organizing the primitive agents and coordinating message delivery. By implementing a prototype of the agent-based grocery shopping system, we have confirmed that it is instrumental in purchasing the best possible groceries of user´s preference from several grocery stores. This system eliminates or reduces the burden of grocery shopping, and helps user save enormous time required shopping around grocery stores