St. Ambrose University
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AI-Driven Business Solutions for Small Business Units

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Main contact
University Canada West
University Canada West
Vancouver, British Columbia, Canada
Naji Yazdi
Naji Yazdi
MBA Instructor
(7)
6
Timeline
  • October 19, 2025
    Experience start
  • December 6, 2025
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Vancouver, British Columbia, Canada
Any company type
Trade & international business

Experience scope

Categories
Market research Operations Competitive analysis Market expansion
Skills
operational efficiency master of business administration (mba) decision making data analysis innovation artificial intelligence
Learner goals and capabilities

This experience connects industry professionals with MBA students who have honed their skills in business and analytics, focusing on AI-driven solutions. These students are equipped to identify and implement AI strategies that address the specific challenges faced by small business units. By leveraging their expertise, students can propose innovative ideas for business improvement, enhancing operational efficiency and decision-making processes.

Learners

Learners
Graduate
Intermediate levels
2 learners
Project
30-50 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables
  • Comprehensive AI strategy report tailored to a specific business challenge
  • Prototype of an AI-driven tool or application
  • Data analysis report highlighting key insights and recommendations
  • Presentation of AI implementation plan with projected outcomes
  • Case study documenting the AI solution development process
Project timeline
  • October 19, 2025
    Experience start
  • December 6, 2025
    Experience end

Project examples

  • Developing a predictive analytics model to optimize inventory management
  • Creating a customer segmentation tool using machine learning algorithms
  • Designing an AI-driven chatbot to enhance customer service interactions
  • Implementing a recommendation system to improve product cross-selling
  • Analyzing sales data to identify trends and improve forecasting accuracy
  • Automating routine data entry tasks using AI to increase efficiency
  • Evaluating the impact of AI solutions on business processes and outcomes
  • Proposing AI-driven marketing strategies to boost customer engagement