AI4DA in Retail Operations
The retail sector is currently facing significant challenges in Canada and around the world, such as inflation, supply chain disruptions, armed conflicts, labour shortages, environmental concerns and changing consumer preferences. To succeed in this competitive and dynamic market, retailers need to use artificial intelligence and decision analytics to optimize their operations and provide personalized, seamless shopping experiences across channels.
At the AI Centre for Decision Analytics, we aim to develop and apply state-of-the-art machine learning/data analysis techniques to solve various retail problems to help retailers boost their revenue and profits, lower their costs and waste and improve customer loyalty and satisfaction.
Why Partner With AI4DA
Retailers work with AI4DA to make better pricing, inventory and fulfillment decisions with data.
Access to expertise
Tap into AI-driven decision analytics research and expertise from the University of Alberta.
Researchers and trainees
Work directly with researchers and talented students on real operational problems.
Events and community
Join AI4DA events, speaker series and showcases that connect industry with the centre.
Flexible partnership levels
Choose the level of engagement that fits your goals, from first conversation to long-term collaboration.
At a Glance
An increase of more than 12% from 2020, making retail a crucial part of the Canadian economy.
While physical stores grew 11% (91% of revenue), e-commerce surged 25% (9% of revenue).
Last-mile delivery accounts for a substantial share of total shipping costs in Canada.
Last-mile delivery contributes significantly to transportation-related emissions.
Challenges We Help Solve
1Stock outs and excess inventory?
2Prices and promotions not keeping up with the market?
3Supply chain disruptions?
Seeing these challenges in your business? Let us help you scope it.
Start a PartnershipCurrent Projects
Smart Pricing for Reducing Food Waste (with Flashfood Inc.)
We are partnering with Flashfood Inc. to develop a dynamic pricing system that helps grocery retailers cut food waste and boost revenue. By analyzing sales data, customer behavior, and product expiration trends, our AI-driven framework recommends the right price at the right time — so near-expiration products sell faster, shoppers save more, and retailers maximize value.
Project details
Ways to Work With Us
Whether you are exploring a first project or building a long-term relationship, there are several ways to get involved.
Research collaboration
Co-develop research projects that turn your data and decisions into practical, evidence-based solutions.
Capstone and student projects
Bring a real problem to student teams and gain fresh analytical perspectives.
Workshops, seminars and hackathons
Co-host or join events that bring industry and researchers together.
Talent connections
Meet and recruit graduate students and trainees with advanced analytics skills.