Supply chain projects among SCALE AI investments

MONTREAL — SCALE AI, Canada’s AI Global Innovation Cluster, has announced $25 million in investments to support six AI projects.

From developing supply chain intelligence platforms for SMEs, to optimizing continuity of care, making workforce decisions, and supporting planning, each of these projects demonstrates the important contribution AI can make to creating more efficient and resilient supply chains in Canada.

“Canadian AI is essential to improving global supply chains,” said François-Philippe Champagne, Canada’s Minister of Innovation, Science and Industry. “Our government is proud to invest in SCALE AI and its partners to make supply chains more resilient and efficient. It’s great to see this work helping to create more high-quality jobs for Canadians and accelerate our economic recovery.”

AI is critical in addressing economic challenges like labour shortages and supply chain disruptions, the organization said, and can help to improve environmental performance by optimizing production and transportation.

The six projects to receive funding are:

Ancillary revenue management platform
Partners: Plusgrade, Air Canada
SCALE AI investment: $2.3 million
Total investment: $5.2 million
Plusgrade, a leading ancillary revenue platform for the global travel industry, is looking to leverage an AI-powered solution to provide a suite of indicators, predictions and recommendations that will boost passenger engagement, reduce perishable inventory, and maximize the value of offers and overall revenues.

Improving Price Efficiency through AI-based Pricing and Costing
Partners: Day & Ross, Deloitte, MoovAI, Gardewine Group, Freightcom Inc.
Scale AI investment: $1.9 million
Total investment: $4.8 million
Day & Ross’ AI-based solution focuses on improving the transportation sector systems and processes used to manage the pricing and costing of shipments. The AI-driven decision support tool is being developed to help their analysts more easily segment customers, provide insights on customers with similar attributes, and build contracted customer tariffs more effectively. Further automation of the process includes an AI-based solution for spot quote generation. This will automate the creation of quoted rates allowing Day & Ross to improve the customer experience. All of these efforts will lead to increased efficiency of both internal processes as well as higher utilization of the transportation network.

Demand Forecasting and Supply Matching to Optimize Continuity of Care
Partners: Saint Elizabeth Health, Deloitte, Markitech, Plotly, Manifold Data Mining
Scale AI investment: $1.8 million
Total investment: $6 million
SE Health aims to find solutions to healthcare system workforce challenges by collaborating with industry partners with AI and supply chain expertise. AI solutions will be developed to overcome barriers in the current resource planning and coordination processes. Three interdependent solutions will be designed to resolve these challenges, including patient demand forecasting, regional resource optimization and matching patients to qualified staff.

Workforce decisions and planning support using AI
Partners: Maritime Employers Association, Airudi, Polytechnique of Montreal, HEC Montréal
Scale AI investment: $1.5 million
Total investment: $3.1 million
The Maritime Employers Association is looking for a new tool to optimize the constantly varying daily workload that depends on port traffic and the quantity and type of cargo and merchandise. The Galileo project will use AI solutions that allow for more accurate labour requirement estimates and complement the Port of Montréal’s projects by providing unprecedented supply chain visibility. This new tool makes it possible to accurately predict the arrival time of ships up to 21 days in advance, improving the performance and increasing fluidity at the Port of Montréal.

Supply Chain Intelligence Platform for SMEs
Partners: FreshBooks, MiSCAN Lab (McMaster University), Oligomaster, BeneComm Inc
Scale AI investment: $1 million
Total investment: $2.8 million
FreshBooks, a provider of online accounting software for business owners and accountants, is developing a proprietary health score for their users that models financial metrics to include and reflect the risk in an SME’s entire network. The project will develop predictive models around supply chain network risk. The AI solutions will allow SME users to understand better their supply chain health through a single score.

Trade Promo Optimization
Partners: Larus Technologies, Unilever, Federated Coop, Theory + Practice, SOSCIP
Scale AI investment: $0.8 million
Total investment: $2.6 million
The project, led by renowned artificial intelligence (AI)/machine learning (ML) product and service provider Larus Technologies, aims to integrate ML insights to analyze and predict market trends. The project is enabled by Unilever, a leading worldwide supplier, looking to create promotional spending efficiency. The joint business planning process is being done in conjunction with Federated Co-operatives Limited (FCL), which is providing the business expertise from a retailer standpoint.