How I Would Build an AI Assistant for Real-Time Shipment Visibility
Artificial intelligence in logistics is often discussed in terms of autonomous trucks, warehouse robots, and fully automated supply chains.
Those ideas are interesting, but they are not where most logistics teams struggle every day.
The more common problem is much simpler: the data already exists, but finding the right answer takes too long.
A shipment may have its basic details in one table, its status history in another, depot information somewhere else, and customer or location data in additional systems. When someone asks, “Where is this shipment?” the answer may require several searches, filters, joins, and interpretations.
That is the type of problem where AI can provide immediate value.
In one of my recent logistics projects, I worked on a shipment-visibility application that brought together shipment records, status events, depot information, partner data, and location details. The next logical step was to make that information accessible through a conversational AI...
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