Researchers at McGill University's Desautels Faculty of Management are exploring the application of machine learning in supply chain management, with a focus on Canadian industries.
IBM offers AI-powered supply chain management solutions to help Canadian businesses optimize their logistics and distribution networks, using machine learning algorithms to predict demand and reduce costs.
The Conference Board of Canada has published a report on the role of machine learning in enhancing supply chain resilience, featuring case studies of Canadian companies that have successfully implemented AI-powered solutions.
The University of Toronto's Department of Mechanical and Industrial Engineering is offering a course on machine learning for supply chain optimization, with a focus on Canadian supply chain management challenges.
The Chartered Institute of Procurement and Supply (CIPS) Canada has published a guide to the use of artificial intelligence and machine learning in supply chain management, featuring examples of Canadian companies that have successfully implemented AI-powered solutions.
SAS Institute has developed a range of supply chain analytics solutions that use machine learning to help Canadian businesses optimize their supply chain operations, from demand forecasting to inventory management.
A recent article in the International Journal of Production Economics explores the applications of machine learning in supply chain management, with a focus on Canadian industries such as manufacturing and logistics.
The Canada Supply Chain Summit will feature a session on the use of machine learning in supply chain management, with speakers from Canadian companies and academia sharing their experiences and insights on the latest trends and technologies.