- Description
-
JamFit is a community-driven fitness studio based in Ontario, committed to promoting wellness, inclusivity, and fun through movement. With a wide variety of fitness classes tailored for all ages and abilities—including programs for seniors and individuals with disabilities—JamFit blends physical health with social connection in a welcoming, judgment-free environment. As the studio scales its operations, it continues to prioritize accessibility, sustainability, and personalized client experiences.
- Number of employees
- 2 - 10 employees
- Company website
- https://www.jamit.ca
- Industries
- Sports & fitness
- Representation
- Minority-Owned Women-Owned Small Business Family-Owned Sustainable/green
Recent projects
ESG Strategy Framework for Fitness Studios
This project is tailored to students in sustainability or environmental studies programs. The goal is to support the studio’s journey toward ESG certification by helping assess its current practices, identify sustainability gaps, and recommend policy changes that align with government or certification standards.
Sustainable Inventory Management System
Designed for supply chain or operations students, this project focuses on building a simple, scalable inventory tracking process for a fitness studio. Students will also integrate ESG principles by identifying sustainable vendors and suggesting ways to reduce environmental impact in studio operations.
Class Performance Reporting and Trend Analysis
This project focuses on helping a fitness studio understand attendance trends and patterns across its classes. The objective is to build a user-friendly reporting system using historical and current data to provide actionable insights. By analyzing class registration data, students will develop dashboards that highlight daily and weekly trends, peak attendance periods, and patterns over the past two years. This will support data-driven decision-making around scheduling and operations. This project is designed for students in a data analytics or business analytics program and will allow them to apply skills in data cleaning, visualization, and time-series analysis.
AI-Powered Client Tiering Model Development
This project is focused on developing a data-driven client segmentation model for a growing fitness studio. The objective is to identify and categorize clients based on their purchasing behavior using clustering or other machine learning techniques. The model will help the studio understand client loyalty patterns and identify high-value customers to support future loyalty initiatives. The project offers business analytics or data science students a focused opportunity to apply machine learning concepts—particularly unsupervised learning—and client segmentation methods using real-world transactional data.