Real AI projects
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Challenge: Optimal inventory levels are based on accurate forecasts, but predicting demand for high-value, low-volume products is complex, with traditional methods struggling to balance storage costs with the risk of missed sales.
Better inventory management using AI
Simplifying demand forecasting for high-value, low-volume products.
Challenge: Reduce unplanned maintenance costs and prevent costly aircraft downtime by anticipating failures before they occur.
AI for predictive maintenance in airplanes
Reducing unplanned maintenance costs and preventing costly downtime.
Challenge: To optimize fluidity, ports must synchronize intermodal and rail merchandise transportation, from its arrival at the Terminal to its final destination.
Smarter ports with synchronicity and fluidity
Achieving operational fluidity by reducing dwell times.
Challenge: In the context of COVID-19, this initiative was Port of Montreal’s response to the life-or-death issue of prioritizing the identification and shipping of PPE, medications and medical equipment arriving at the Terminals.
Prioritizing marine cargo before arrival
Leveraging data for faster and smarter decision-making.