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AI in Indian Logistics: Where the Real Wins Are Hiding
Last-mile is where everyone looks. The real margin is hiding in middle-mile planning, dock scheduling, and exception handling.
Teknesya Networks 7 June 20261 min read
Where AI Actually Moves the Needle in Indian Logistics
Don't start with last-mile
Last-mile gets all the attention, but for most 3PLs and shippers the bigger lever is middle-mile planning - route, mode, and consolidation decisions that lock in 60% of the cost.
Three under-rated wins
- Dock scheduling: simple optimisation cuts truck waiting times by 30-50%. Pure dollars.
- Exception handling: an LLM triages "where is my shipment" tickets and resolves 40% without a human.
- Invoice and waybill OCR: 95%+ extraction accuracy now, saves entire teams of data-entry hours.
What to watch out for
- Vendor demos use clean data. Yours will not be clean.
- Driver app adoption is the make-or-break factor, not the model.
- Integrations with FASTag, e-way bill systems, and customer ERPs eat more time than the AI itself.
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