Which type of system helps filter information for electronic commerce and supply chain management?

The correct answer focuses on intelligent agents, which are specialized software programs designed to autonomously perform tasks or make decisions based on predefined criteria and learned information. In the context of electronic commerce and supply chain management, intelligent agents can efficiently filter and analyze vast amounts of data, helping businesses to identify trends, optimize inventory levels, and enhance customer experiences by personalizing recommendations.

Intelligent agents operate by continuously monitoring data sources and can respond to changes in real-time, making them particularly effective in dynamic environments like e-commerce. They can adjust their actions based on the information gathered and improve over time through machine learning, which leads to more accurate filtering and smarter decisions.

While decision support systems are useful for providing data-driven insights and assisting with complex decision-making, they are typically more focused on aiding human decision-makers rather than automating the information filtering process as intelligent agents do. Similarly, artificial intelligence systems encompass a broader range of technology beyond filtering, including data analytics and machine learning, which may not be as directly concerned with the filtering aspect. Data warehousing systems are primarily used for data storage and management rather than actively filtering information, making them less relevant to the functional needs of e-commerce and supply chain processes compared to intelligent agents.