Session management in MCIP creates a persistent context that is the key to transforming your AI agent from a simple interface into an "intelligent shopping assistant". Your agent's decision-making should be heavily influenced by this context.
Your agent can use MCIP's capabilities to enable sophisticated decision-making and conversational flows.
| Pattern | Description |
|---|---|
| Conversational Refinement | This allows users to progressively narrow their search through natural dialogue. A user saying "Show me something cheaper" or "Do you have this in red?" should be treated as a modification to the existing search context, not a new search. |
| Comparative Shopping | Your agent can leverage MCIP's ability to search multiple platforms simultaneously. It can then make the decision to present products from different sources, highlighting differences in price, availability, or features. |
| Predictive Assistance | The agent can use session context to anticipate user needs. If a user adds a laptop to their cart, your agent can proactively decide to search for and suggest "laptop bags, mice, or software licenses". This should be presented as helpful assistance within the conversation. |
You can improve your agent's decision-making over time by implementing monitoring. By tracking search patterns and analyzing conversion patterns, you can gain insights that "guide you toward integration improvements that directly impact business outcomes".