Marvel is an AI strategy roadmap created by IVADO Labs for a major Canadian mall operator. It consists of an actionable digital transformation plan aiming to implement AI initiatives at retail locations across the country. My team successfully developed a 5-year AI roadmap, which was awarded a $4MM subsidy by the Canadian government. Use-case implementation began in Q2 of 2020.

During the project, I headed all activities pertaining to use-case brainstorming and prioritization. I led ideation workshops with the client and conducted a comparative study of the physical retail industry. I then created a prioritization system comparing 40 use cases to identify a final set of seven use cases to be included in the roadmap.

The Marvel roadmap includes seven AI use-cases to be developed on a five years timeline. The roadmap aims to ameliorate both customer and retailer experiences. Each use case was selected based on criteria of commercial, scientific, and technical feasibility. The analyzed use cases included visual search, NLP-powered product search, demand forecasting, staff scheduling, product recommendation, wayfinding optimization, and delivery optimization.