Join SOSCIP’s networking event and pitch competition featuring Loblaw and Unilever Canada
SOSCIP (Southern Ontario Smart Computing Innovation Platform) invites researchers to , a networking event centred on building breakthrough artificial intelligence (AI), on Thursday, June 17.
Event details:
- Hear directly from Loblaw Canada and Unilever Canada about AI-based solutions they are interested in developing or exploring.
- Learn about their current work.
- Understand how they would like to engage with external partners to build novel solutions to their challenges.
For more information and to register, visit the .
Submit a pitch:
Researchers are welcome to submit a three-minute pitch by video for a chance to speak one-on-one with these industry-leading companies. Researchers registered for the June 17 event may submit one pitch to Loblaw Companies Ltd. and one pitch to Unilever Canada.
More information can be found in the , which can be used as a guide.
The deadline for pitch submissions is Friday, June 4 at 11:59 p.m.
Areas of interest for the pitch:
Loblaw Canada
- How to efficiently leverage real-world data to offer personalized recommendations to consumers for health and wellness products.
- How to identify optimal store assortment (i.e. which products should be stocked in-store vs. at micro-fulfilment centres) to meet variations in customer demand.
- Data-supported proposal for cost-effective changes to the Loblaw supply chain strategy to increase resiliency in the face of disruption.
Unilever
- E-commerce
- Future of consumer engagement in Canada.
- OMNI Channel: Assortment and market share.
- Sustainability model.
- The impact of influencers and social streaming/channels/posts on consumer search trends.
- The variance of language consumers use to search for products across different e-commerce sites.
- Digital marketing
- Creative performance recommendation engine.
- Modelling to optimize media activity based on product availability.
- Ice cream business: Effect of pandemic and post-pandemic in consumer buying patterns
- Pandemic projection of consumer buying patterns.
- Post-pandemic projection of consumer buying patterns.
- The rise of the fast-moving consumer goods categories for on-demand grocery within aggregators like online food ordering platforms.
