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
AI prediction of service demand across channels. Workforce planning, resource allocation. Integrates with contact centre and service data.
Time series modelling and FTE planning based on loan application data from a Big 4 Australian bank
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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