Optimize Workforce Planning using Linear Programming with Python

Your team's AI coworker. Mention @iwan in Slack and get instant answers about who's available, what was decided, and how the team is allocated.

A bare bone implementation of Erlang C in Python. No external modules/libraries we're used. Everything was derived directly from the formula.

Simulated operations case study comparing 4x10 vs 6x6-7 workforce allocation for throughput stability, backlog control, and labor-cost efficiency.

Strategic People Analytics project addressing post-layoff retention at Meta. Utilized SPSS and Advanced Excel to identify high-performer flight risks and delivered data-backed recommendations to the VP of HR

Time series modelling and FTE planning based on loan application data from a Big 4 Australian bank

Interactive workforce decision intelligence demo. Built in 24 hours to simulate global workforce change before execution.

AI-driven manufacturing capacity planning — demand-supply matching, bottleneck prediction, investment scenario modeling, and workforce optimization

Workforce Planning: Developing Smart AI-driven Schedule Optimizers

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.

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

AI prediction of service demand across channels. Workforce planning, resource allocation. Integrates with contact centre and service data.