The building of client relationships start with the company’s in-house Sales team, who have traditionally employed methods that required significant in-person interaction with potential clients. With the social distancing measures that are in place due to COVID-19, much of what the Sales team has traditionally done to engage with customers must now evolve. The challenge […]

Leveraging the entirety of point of sale and loyalty data collected across a category, as well as additional socio-economic and other supporting data sources, apply statistical modelling to identify the own-price elasticity of demand and cross-price elasticity of demand at regular and promoted price points across Unilever’s portfolio within that category. Subsequently measuring the promotional […]

The project will involve identifying and analyzing potential high growth and stable markets. It will require conducting research through various construction databases and market sources to address the two opportunities outlined above. Pliteq has created a team dedicated to growing sales of the GenieMat®Rail product, an acoustic solution with applications to railways. The role will […]

As a Marketing and Innovation Specialist at Nature’s Expression, I will be assisting the development of robust strategies targeted at retailers to support sales activities. COVID-19 has significantly decreased the sales projections of Nature’s Expression and I will have to reconsider the existing marketing strategies throughout the remainder of the year. I will accomplish this […]

Throughout this internship at PartnerStack, I will be working on the Data Operations team where I will assist in making data more accessible by creating dashboards and pulling reports for customers and internal teams from various departments. More specifically, I will be querying the company’s internal database to analyze the success of recent marketing campaigns […]

Berrymobile is a marketing and distribution company for local fruit. They have been around for 20 years and are a seasonal business from late May to early September. As the Human Resources Assistant I am responsible for all the seasonal fruit stand and driver employee hiring for the lower mainland and whistler, scheduling, assisting with […]

The project is about developing a decision support tool to provide a personalized handling and treatment for Autistic Syndrome Disorder patients. This decision support tool will integrate machine learning modeling that will be used to suggest optimal and personalized guidelines for a very large spectrum of ASD patients, not available so far. Theses guidelines will […]

La pratique du hockey est actuellement interdite en raison de l’absence de mesures de protection des joueurs éprouvées contre la COVID-19. La compagnie CCM souhaite ainsi développer un dispositif de protection individuelle contre la COVID-19 pour les joueurs de hockey. Les concepts actuellement à l’étude visent à éviter la projection et l’inhalation de gouttelettes qui […]

Companies rely on financial reports which are generated through various transactions such as sales and expenses to understand the discrepancies between actual performance and financial forecast. Accordingly, generating commentaries on financial data might be considered as a routine operation for many companies. The previous studies indicate that machine learning algorithms can be used to automate […]

As a global leader of industrial footwear insoles, MegaComfort is actively engaged in developing innovative products to maintain healthy workers and prevent injuries. The goal of this research project is to provide a system that is able to scan a human foot from a single image or sequence of images (video) and be able to […]

Le projet Innovation béton de chanvre est un projet de recherche de 2e cycle élaboré par Maxime St-Pierre et Philippe Fortin. Le projet a pour but de développer le béton de chanvre afin de rendre celui-ci adapté à la construction au niveau commercial. Le projet est divisé en deux sous projets : la réduction du […]

Leveraging the entirety of point of sale and loyalty data collected across a category, as well as additional socio-economic and other supporting data sources, apply statistical modelling to identify the own-price elasticity of demand and cross-price elasticity of demand at regular and promoted price points across Unilever’s portfolio within that category. Subsequently measuring the promotional […]