It is hard to miss news headlines reaffirming the pandemic-induced, worldwide supply chain disruption that has spurred significant consequences for the global economy. From shortages of key manufacturing components to delivery postponements to erratic spikes in transportation costs, the list goes on and on. This is where trailblazing technologies like AI and ML are bringing the promise of detecting and analyzing supply chain vulnerabilities to accordingly strengthen the entire supply chain against oncoming threats in the future. However, as with most industries, AI and ML are still at the nascent stage of adoption in supply chain logistics, and numerous organizations neither have the required infrastructure nor the expertise to develop AI-based tools that would enable them to take control of their supply chain. Lending a helping hand to these organizations is the Alberta Machine Intelligence Institute (Amii), a company that is one of the pre-eminent institutes exploring the frontiers of scientific knowledge and accelerating business adoption in machine intelligence.

“Be it startups or MNCs, we help companies of all sizes build a wide range of internal AI and ML capabilities as a key partner throughout their entire AI-adoption journey, no matter where they start from,” says Adam Danyleyko, Product Owner-Startups at Amii.

Before kickstarting a particular project, Amii implements its AI Adoption Spectrum tool to identify a company’s current capabilities in AI and scope out manifold ways in which they can support the client’s efforts to incorporate AI tools into their workflow. Thereon, Amii works in close ties with its clients to guide them through all the stages of AI adoption—from whiteboarding and ideation, to model development and implementation – even up to advanced research and development.

What truly sets Amii apart is the scientific excellence of their combined workforce, which adds a competitive edge to their offerings. With a team comprising world leaders in AI and ML research, Amii ensures they make the most of best-in-class academic talent and expertise to stay at the leading edge of the field and help companies build AI and machine learning capabilities. Whether the client is looking to incorporate an off-the-shelf solution, trying to develop proprietary software, or aiming to devise a standalone AI solution in partnership with a different organization, Amii is there to help the clients derisk the AI adoption process in every scenario.

Among the many success stories where Amii has helped several supply chain companies in building suitable AI and ML capabilities for demand forecasting, monitoring transportation logistics, maintenance prediction, or off-the-shelf optimization, a particular case stands out. A supply chain company sought to optimize the movement of items around its novel vertical warehouse systems. With Amii stepping into the picture, they built a specific AI infrastructure to improve human to machine interactions and enhance their data management capabilities, following which, the client utilized the newly added AI and ML strategies to enabled them to efficiently move the items inside the warehouse.

Moving ahead, Amii is ready to build on its machine intelligence expertise to enable clients to develop their AI-driven capabilities for more complex and long-term supply chain issues and even for encouraging data-driven operational research. They are excited to work with different companies from multiple sectors in the years to come and be the much-needed AI adoption partner they are looking for.