Hi @Swamy Nathan Greetings! Welcome to Microsoft Q&A forum. Thank you for posting the question here.This is an interesting thought. Here are a few resources I have found on Architectural implementation which implements IoT with AI.
- Environment monitoring and supply chain optimization with IoT
- Use AI to forecast customer orders
- Implement real-time anomaly detection for conveyor belts
- End-to-end computer vision at the edge for manufacturing
The articles presented may not be talking about the architecture in logistics. These articles provide a generic architecture solution that can be extrapolated to build custom use cases. For example, the AI model in the article link 1 is trained to predict wildfire prediction models. We can use historical order data and train the models to forecast a specific region which might need more fleet to handle peak demand.
Similarly, we can modify the architecture in End-to-end computer vision at the edge for manufacturing to predict the product demand in the warehouse and automate the process of contacting manufacturers to prevent from running low on inventory.
Hope these resources provide some context and clarity to your question. Let us know if you have any additional questions.