A major AI-driven logistics initiative — backed by an $8 million investment — has been launched to modernize freight operations and decision-making across North America’s transport networks. The programme, named Transport Optimization, aims to bring predictive and adaptive artificial intelligence tools into core logistics functions across Canada, the United States and Mexico, enabling faster, smarter and more consistent operational decisions.
The multi-partner project — developed in collaboration with technology firms including Scale AI, Vooban, CRIM, Geloso Group and Les Camions Fuel — seeks to harness real-time data and machine learning to enhance key areas such as pricing, quoting and carrier selection throughout daily freight workflows.
Key elements of the initiative include:
• Dynamic Pricing and Quote Management, which uses real-time market data to generate competitive, profitable freight rates.
• A Carrier Recommendation System that leverages AI to suggest optimal logistics partners based on performance, cost, reliability and compliance.
• Standard Operating Procedure (SOP) Management, providing centralised process control to improve traceability and operational transparency.
• An Employee Assistant with a conversational interface that lets staff interact with internal systems in natural language to speed workflows and reduce friction.
The initiative reflects growing adoption of AI in supply chains — where data-rich platforms and predictive systems are increasingly seen as vital for handling complexity, volatility and optimisation across freight pricing, carrier networks and compliance.
Industry leaders say that applying AI to transport logistics isn’t just about automation; it’s about reshaping decision-making, improving resilience and responsiveness and creating more intelligent, insight-driven logistics ecosystems capable of meeting the shifting demands of global commerce.
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