University College of the North
University College of the North
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AI-Driven Solutions for Small Business Challenges

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University Canada West
University Canada West
Vancouver, British Columbia, Canada
Naji Yazdi
Naji Yazdi
MBA Instructor
(7)
6
Timeline
  • October 4, 2025
    Experience start
  • December 5, 2025
    Experience end
Experience
2/2 project matches
Dates set by experience
Preferred companies
British Columbia, Canada
Any company type
Any industries

Experience scope

Categories
Operations Market expansion Product or service launch Sales strategy
Skills
operational efficiency analytical skills master of business administration (mba) needs assessment artificial intelligence decision making innovation workflow management
Student goals and capabilities

This experience invites industry professionals to collaborate with MBA students who are equipped with advanced business and analytical skills. The students will work to identify and implement AI-driven solutions tailored to specific challenges faced by small business units. By leveraging their knowledge of AI strategies and applications, students will assess organizational needs and propose innovative solutions that can enhance operational efficiency and decision-making processes.

Students

Students
Graduate
Intermediate levels
40 students
Project
Students self-assign
Individual projects
Expected outcomes and deliverables
  • Comprehensive needs assessment report identifying key business challenges.
  • AI strategy proposal outlining potential solutions and expected outcomes.
  • Prototype or proof-of-concept AI application tailored to business needs.
  • Implementation plan detailing steps for integrating AI solutions into existing workflows.
  • Impact analysis report evaluating the potential benefits and ROI of proposed AI solutions.
Project timeline
  • October 4, 2025
    Experience start
  • December 5, 2025
    Experience end

Project examples

  • Developing an AI-driven customer segmentation model to enhance marketing strategies.
  • Creating a predictive analytics tool for inventory management optimization.
  • Designing a chatbot for improving customer service response times.
  • Implementing a machine learning algorithm to forecast sales trends.
  • Building a recommendation system to personalize product offerings.
  • Automating routine data entry tasks using AI to improve accuracy and efficiency.
  • Analyzing social media data to gain insights into customer sentiment and brand perception.
  • Optimizing supply chain logistics through AI-driven route planning.