AI Lab: AI in Workforce Management: From Estimating to Knowing
22 Apr 2026
Stockholm AI Labs
AI Labs
Many organisations still rely on experience and instinct when planning their workforce. But what if AI could help you predict staffing needs more accurately and build smarter rotas? In this AI Lab, Dyflexis will share how AI, labour demand forecasting, and auto-scheduling come together in a data-driven approach to workforce planning.
You’ll see how expected revenue, footfall, weather conditions, and other external factors can be translated directly into staffing needs, and how these can then be filled automatically with the right employees. The result: less guesswork, fewer error-prone manual actions, and greater control over staffing levels and labour costs.
Topic
AI Automation & Agentic Systems
Learning Objective 1:
Understand how AI and labour demand forecasting help organisations predict staffing needs more accurately using historical data, revenue expectations, and external factors such as weather and footfall.
Learning Objective 2:
Learn how auto-scheduling turns forecasted demand into smarter rotas based on availability, contracts, skills, and workforce rules.
Learning Objective 3:
Discover how data-driven workforce management reduces guesswork, lowers manual planning effort, and improves control over staffing levels and labour costs.
