Projets novateurs réalisés

The expansion of WES software into Europe by Compusult

The expansion of WES software into Europe by Compusult

Separating mixtures using single-file and dualmodediffusion

POS Bio-Sciences currently performs extractions, fractionations, and purifications on a variety of biobased
materials including food ingredients, health ingredients, nutraceuticals, agricultural materials,
and cosmetics. Access to improved separation techniques will allow POS Bio-Sciences to offer
enhanced solutions to its current client base and potentially provide new services to the
pharmaceutical industry, which has high standards for sample purity. This project will use molecularbased
simulation techniques to develop and optimize a nanofluidic separation technique that uses the
unique properties of single-file and dual-mode diffusion that are observed in highly confined fluid
systems. This new technique has the potential to separate mixtures into samples with a highly narrow
distribution of particle sizes, thus improving on current ultrafiltration methods.

Forever Natural BSI

The project would be to analyse the current online marketplace in the natural health and beauty segment. Define and recommend brand strategy around positioning and points of difference for an online presence. Create an online brand strategy and implementation plan which would include fulfillment recommendations. If time allows, help implement the plan. Urban Spa’s online strategy has been to partner with existing onlines stores. It became apparent during the current covid situation we need to come up with a different direct to consumer online strategy. This could be a significant area of growth for Forever Natural.

HookMotion

L’objectif du projet est de développer et d’implémenter un plan marketing pour HookMotion

JED Lab media

Le projet GRI3 est une solution novatrice de gestion des soins pensée pour les résidences pour aînés, les ressources intermédiaires et les CHSLD privés et publics. C’est un logiciel tout-en-un qui facilite la vie de tous les intervenants, des gestionnaires aux équipes soignantes, en passant par les professionnels de la santé. C’est votre bras droit pour une meilleure efficacité opérationnelle, des suivis plus efficaces et une traçabilité des interventions mieux répertoriée. C’est avoir accès en tout temps à toute l’information, et la chance d’offrir à vos résidents un milieu de vie et des services de qualité optimale

Optimization of Actiflo system for removal of Dissolved Organic Carbon (DOC) at Portage La Prairie water treatment plant

Water treatment plants in Manitoba use surface water with high organic content as their source of water supply. Organic carbon reacts with disinfecting chlorine forming potentially carcinogenic disinfection byproducts. Portage la Prairie water treatment plant is an example of typical Manitoba lime/soda water treatment plants facing the challenge of removal of organic carbon. Coagulation and Granular Activated Carbon (GAC) are used in this plant for removal of Dissolved Organic Carbon (DOC).
Our previous studies showed that DOC cannot be efficiently removed by these two processes.
In this research we propose to study removal of DOC at the Portage la Prairie water treatment plant. Another goal of this research is to optimize the removal of DOC in the laboratory study by applying different coagulants and ozonation.

Customer Value in Market Strategy for Guitar Chord Simulation Training System

This project with 3D Simulation Solutions that is centered around developing a new product
integrating novel hand motion simulation technology to teach guitar playing, and therefore new
customer value creation, this applied research will focus on how this leading edge technology can be
transformed into a market offering with genuine value to customers in order to achieve this and to
develop an effective marketing strategy. methodologies and frameworks that focus on creating new
value will form the foundation of this project. such as the ‘ Customer value Creation: A Practical
Framework.”

Sales Channels & CRM

The purpose of this project is to build out the sales channel/CRM system for Fortune Label. Fortune Label is a family-run industrial label and packaging company that has operated in the Greater Toronto Area since 1995. The company specializes in pressure sensitive labels for industries such as: food & beverage, catering, chemicals, cosmetics, pharmaceutical, among others. With COVID-19, business has grown, with large orders from hand sanitizer and other cleaning supply labels coming through, making up the majority of the windfall. This brings the family business to a crossroads, as a sale process for the company is also being contemplated, with certain parties making multiple inquiries about potentially acquiring it. The company has had no digital presence since its founding, no systematic sales prospecting strategy, with its business almost exclusively coming from word of mouth.

My role will be to build out the sales channel/CRM for the company with the overall goal of the project to set up the company with the tools and resources to maximize sales and profits while maintaining productivity. In the event of a downturn in the windfall, the company aims to be in a position to maximize its valuation in a Merger and Acquisition deal.

RVezy AI & Analytics Research Project

RVezy is a technology company that brings explorers and RV Owners together: Think Airbnb for RV’s. This project will involve two main components, both driven by AI and analytic solutions:

1) Search Optimization: Improving RVezy’s search algorithm to better tailor their customer experiences.
2) Marketing Spend Ratio: Integrating shallow machine learning models to improve return-on-marketing-investment.

Bringing machine learning and AI to the table could create further efficiencies in the company’s supply chain, as well enable more cost-effective business decision making.

“From the Stadium” finance & marketing project

The proposed project will investigate how “From the Stadium” can increase the number of regular users/consumers on their platform, while simultaneously addressing how the company can effectively manage and spend their revenue. The research will be focused on seeing how consumers react to specific trends and articles/podcasts, ultimately highlighting the sources that are the most popular amongst users. The project will hopefully help the company gain more brand awareness, while also providing the company with a spending strategy that will expectantly ensure both short and long-term success.

Austin Laberge- Mitacs Business Strategy Internship Application

This research project will consist of attempting to market and successfully sell M and M Publishing’s new retirement training manual and launch their new retirement coaching service. The main goal of this research project will be to help successfully launch and expand M and M Publishing’s new retirement coaching service for seniors and older adults who are either retired or soon to be entering their retirement. I will be attempting to get into contact with financial advisors and representatives from the “Big 5” major banks and other financial institutions to convince them to adopt Michael’s Drak’s retirement philosophy. The goal will be for these advisors and institutions to agree to promote M and M Publishing’s retirement coaching network and new retirement manual in the process. I will also be responsible for taking over all social media accounts for M and M Publishing in order to improve their online presence, attract possible consumers, and improve their overall brand awareness. This internship will benefit M and M Publishing by promoting the launch of their new products while also attracting prospective business partners to help grow the company.

A Scalable Solution for Sensing and Sorting Orein the Mineral Mining Process

This project intends to research the building of scalable, low-cost and robust alternatives andimprovements to existing systems for mineral sensing and sorting in order to achieve greaterproductivity and efficiency by means of improving speed and accuracy in the process of miningminerals from low grade rocks. The project will combine developments in embedded and streamingsystems, parallel computing and machine-learning to create a more specialized system for thisdomain. The project will be based on an existing platform of MineSense, a leading company in thisarea. This research will provide MineSense with insights into alternative hardware and softwaresystems, as well as useful research data with regards to trade-offs in light of scalability, latency andaccuracy, which should prove beneficial for design and planning for their current and future miningsystems.