Historical news about this contribution
Background and objective
The Future Work Lab in Stuttgart makes digital work organisation tangible through demonstrators. Its intelligent workforce planning example addressed a familiar challenge: staffing shifts when demand changes and people have different skills and availability. Visitors could explore a specific planning approach rather than relying only on a general description of AI.
Approach and context
The official flyer describes browser-based planning, staffing suggestions and an app involving employees. This brings the planner’s view together with the employees’ perspective. It makes the supporting role of software easier to understand, including where people provide requirements, make decisions and return feedback to the planning process.
Hawk’s contribution
From 2020 to 2025, a browser-based Hawk demonstrator in the Future Work Lab showed AI-supported shift planning: it proposed staffing assignments and involved employees via an app.
What this means in practice
The example supports discussions between production, workforce teams and employees. Planning criteria, short-notice changes and participation can be examined together. The demonstrator was a research and learning example; an operational project then considers the organisation’s own data, rules and interfaces in greater detail.
Questions for your own planning
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Which planning decision needs support, and who is responsible for it?
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Which requirements, skills and operational rules must be considered together?
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How are employees involved and proposals evaluated in everyday work?
The original sources document the research project or publication at the time. This context connects the historical contribution with the questions facing today’s planning teams.