Optimize Workforce Planning using Linear Programming with Python
A bare bone implementation of Erlang C in Python. No external modules/libraries we're used. Everything was derived directly from the formula.
Workforce Planning: Developing Smart AI-driven Schedule Optimizers
Time series modelling and FTE planning based on loan application data from a Big 4 Australian bank
AI prediction of service demand across channels. Workforce planning, resource allocation. Integrates with contact centre and service data.
スキルと稼働量に基づいて最適アサインを行うツール / Skills & capacity–aware auto assignment tool (Python/Streamlit)
Workforce planning service with demand forecasting, labor optimization, shift management, and staffing recommendations
Retail Demand & Staffing Optimizer (v1) — FastAPI + Postgres backend that forecasts demand (store × SKU) using moving-average models and generates staffing plans to meet service-level targets. Includes Alembic migrations, Docker Compose, seed data, CI, Postman collection, and demo scripts.
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