Inside Logistics

AI supercluster selects first projects

Four projects set to tackle supply chain challenges with AI


June 28, 2019
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MONTRÉAL – Scale ai, the AI-powered supply chain supercluster, has selected its first collaborative projects. These projects aim to make Canada an international leader in the field of artificial intelligence (AI) applied to supply chains.

Each industry-led project is composed of three to seven partners collaborating to address supply chain challenges through the application of artificial intelligence. The project team bring together a consortium of partners, and may include industry adopters, technology leaders, small and medium-sized enterprises, universities and research centres.

“With these first selected projects, scale ai is entering its operational phase,” says Julien Billot, CEO of scale ai. “Since the official launch of our activities a few weeks ago, we have received a significant number of project submissions and are working with our partners to select other projects very soon. I encourage all companies interested in applying AI into their supply chain to contact our teams to present their project proposals.”

The projects will tackle core issues identified by various sectors, including retail, manufacturing, agriculture and transport, by implementing artificial intelligence models. Ultimately, these projects will deliver concrete, innovative solutions that will, among other benefits, improve product routing and traceability, increase demand forecasting accuracy, optimize task assignment for field employees, and increase planning efficiency to avoid overstocking and waste.

The selected projects will cost $5.1 million, including $2 million invested by scale ai. The remaining funding will come from the project partners.

The projects will provide the following solutions:

  • Decision support system for operation planning, storage allocation and crane scheduling (Ray-Mont, SimWell et Ivado Labs)
  • Forecasting the complexity of field repairs and technician management (Bell, Exfo, VuPoint Systems, Ivado Labs)
  • Community co-loading platform for farmers (Local Line, Flanagan FoodService, Ontario Fresh, collective of 7 farmers)
  • Intelligent platform for agile customization (Nulogy, Mars Canada, Schenker Canada, Alliance, Linsey Foods, LakeCityFoods, Menasha)

“In a context of globalization, the development of international trade inevitably involves the optimization of our supply chain” said Charles Raymond, CEO of Ray-Mont Logistics.

“As a founding member of scale ai, we are proud to see that our smart terminal project is part of this shared vision of propelling the supply chain to another level. We have the ambition, the expertise and the creativity to build on this momentum by continuing to offer flexible, innovative and high quality solutions to our customers and partners.”