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How can real-time fleet tracking data be effectively integrated into existing supply chain systems without causing data overload or latency issues?

Hi team,

With the increasing use of real-time data in fleet management, many companies are able to track vehicles, monitor routes, and respond to disruptions instantly. However, integrating continuous data streams into existing logistics platforms can create challenges such as system performance issues, data redundancy, and difficulty in extracting actionable insights.

What are the best practices or architectural approaches (e.g., event-driven systems, data filtering, batching) that developers can use when working with APIs like those in the Motive platform to ensure efficiency without overwhelming their systems?

Looking forward to receive your responses soon!

Geometry Dash Lite