Kale Logistics AI

Real-time applications of
AI - enabled Logistics

From air to maritime, here are some of the common applications in logistics that are AI enriched.

Artificial Intelligence (AI) is gradually revolutionising the logistics sector with its smart and intuitive tools facilitating faster and optimised cargo movement. Right from air cargo to maritime as well as land cargo movement, AI is widely utilised in all functions of logistics. Here are some use cases of cargo community systems powered by AI.

Smart truck optimisation & management

Artificial Intelligence (AI) is gradually revolutionising the logistics sector with its smart and intuitive tools facilitating faster and optimised cargo movement.

Dynamic cargo & rate forecasting

The system forecasts shipment trends, suggests real-time rates based on market conditions, and predicts delays, disruptions as well as prices.

OCR enabled automated documentation

OCR enabled mechanism to extract codes and document numbers to improve accuracy of data with lesser human intervention in manual chores.

Seamless cargo transit

Identify optimised transit routes based on various parameters such as cost and timelines to move your cargo through different modes of transport.

AI powered route optimisation

Identify smart routes and plan trips of a trucker seamlessly with dynamic slot route selections and better fuel efficiency.

Insights’ hub & volume forecasting

Streamlining processes, reduce bottlenecks, and enable collaboration and leverage historical data for insightful predictions.

Invoicing & quotation requests

Enable stakeholder interaction to request, compare, and receive competitive quotes from multiple service providers in real-time.

End-to-end tracking

Helps track movement of cargo real-time end-to-end on each milestone. Also, predicts upcoming disruptions and helps overcome the same.

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