- Companies
-
-
Canada
-
Mississauga, Ontario, Canada
-
- Categories
- Market research Marketing strategy Media
Achievements



Latest feedback
Project feedback


Project feedback


Project feedback


Recent projects

Shopify Store Process Optimization
The Harris Brand Edu is seeking to enhance the efficiency of its Shopify store by streamlining both backend and frontend processes. The current setup has several bottlenecks that hinder smooth operations and customer experience. The goal of this project is to identify these inefficiencies and propose practical solutions that can be implemented to improve the overall functionality of the store. This project will allow learners to apply their knowledge of e-commerce platforms, web development, and process optimization. The team will focus on analyzing the existing processes, identifying areas for improvement, and suggesting enhancements that align with best practices in e-commerce. This project is ideal for students in a web development or e-commerce program, as it requires a deep understanding of Shopify's capabilities and limitations.

IBM SkillsBuild: AI Use Case Exploration for Industry
The objective of this project is to: Conduct an opportunity analysis to identify and evaluate three promising AI use cases within the Education, non-profit and E-Comm industries. The aim is to uncover high-ROI opportunities and recommend how similar applications could be piloted within our business. This will serve as a strategic guide for The Harris Brand "Companies" to assess AI initiatives with potential business impact while assuring back and front-end streamline processes are smooth. Desired outcomes by the end of the project: Define artificial intelligence and how it can be implemented into the business verticals Describe three levels of artificial intelligence Define and describe machine learning Differentiate between structured and unstructured data Describe how machine learning structures data Describe how machine learning structures unstructured data Describe how machine learning uses probabilistic calculation to solve problems Describe three methods by which machine learning analyzes data Integrate A.I application and solutions to ensure seamless workflow Eliminate human resource redundancies to back and front-end operations. Recommended IBM SkillsBuild course: Introduction to Artificial Intelligence

Artificial Intelligence & Machine Learning Application
Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

IBM SkillsBuild: AI Use Case Exploration for Industry
The objective of this project is to: Conduct an opportunity analysis to identify and evaluate three promising AI use cases within a specific industry. The aim is to uncover high-ROI opportunities and recommend how similar applications could be piloted within our business. This will serve as a strategic guide for employers assessing AI initiatives with potential business impact. Desired outcomes by the end of the project: Define artificial intelligence Describe three levels of artificial intelligence Describe the history of AI from the past to the possible future Define and describe machine learning Differentiate between structured and unstructured data Describe how machine learning structures data Describe how machine learning structures unstructured data Describe how machine learning uses probabilistic calculation to solve problems Describe three methods by which machine learning analyzes data Describe an ideal relationship between humans and machine learning Recommended IBM SkillsBuild course: Introduction to Artificial Intelligence