Tailor Efficiency Prediction & Cooperative Management System
A machine-learning workforce efficiency prediction system combined with a cooperative management platform for operational decision-making.
Overview
A dual-module system combining machine learning for workforce efficiency prediction with a full cooperative management platform. Modules include tailor efficiency prediction, operational dashboard, tailor management, stock management, supplier management, and purchase management.
Problem
Cooperative managers lack data-driven tools to assign work to the most efficient tailors and manage operations across multiple business functions.
Target Users
Cooperative managers and operational staff
My Role
Cross-functional team member
Worked across the product process, led financial-model and IRR validation, contributed to system architecture, backend and administration design, and developed the operational interface.
Key Features
- ML-based tailor efficiency prediction model
- Operational dashboard for cooperative managers
- Tailor, stock, supplier, and purchase management modules
- Cooperative operational workflow automation
- Financial model and IRR validation
Challenges & Trade-offs
- Training reliable prediction models with limited operational data
- Integrating ML predictions into practical operational workflows
- Coordinating across multidisciplinary team members (Business, Architecture, International Business)
Results
2nd Place — SUTD × Petra Christian University International Hackathon, January 2026.