Demo: Real-Time Context Engine for Fleet Management

Use Real-Time Context Engine and Claude, or any MCP-compatible client, to explore operational data using natural language in real time.

That includes everything from simple lookups to multi-step investigative questions like:

• “Which drivers had delayed deliveries in Chicago today?”
• “Show me all damaged shipments signed for by John in the last 24 hours.”
• “Which warehouse is generating the highest number of failed scans this week?”
• “Find customers whose orders were delayed more than twice this month.”
• “I got a delivery but the package was damaged. The signer was John. Who was the driver and how do I contact their depot manager?”

Confluent’s Real-Time Context Engine gives AI agents live access to operational context as events happen across the business. Instead of relying on stale snapshots, agents can query and reason over continuously updated tables in real time.

It creates a live portal into what’s happening across your business the moment data is generated enabling real-time investigation, support, operations, analytics, and automation directly from natural language.

Learn more:
Docs: https://docs.confluent.io/cloud/current/ai/real-time-context-engine/overview.html
Blog: https://www.confluent.io/blog/introducing-real-time-context-engine-ai/
Webpage: https://www.confluent.io/product/real-time-context-engine/

ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit https://www.confluent.io/

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