Task
Develop a practical concept that helps sustainably reduce absenteeism among apprentices in retail while strengthening their well-being in daily work.
The focus is on how workload can be identified early, stress can be actively managed, and healthy working practices can be embedded into everyday routines. Both the needs of apprentices and operational requirements should be considered.
Your solution may include formats, programs, or tools. What matters is that it is effective in daily operations, relieves teams, and improves the handling of short-term absences.
We are not looking for isolated one-off measures, but for approaches that integrate meaningfully into existing processes and create long-term impact.
Note on AI technology:
AI-based solutions may be used as enablers, but are not an end in themselves. The key is their meaningful integration with analog measures in daily work.
Guiding Questions
- Visibility: How can workload and stress among apprentices be made visible at an early stage without creating pressure or stigma?
- Effectiveness: How does identified stress translate into concrete measures that provide immediate relief in daily work?
- Culture: How does your solution strengthen dialogue within the team and promote a culture where workload can be openly discussed?
- Acceptance: How do you ensure the solution is perceived as support rather than as a control mechanism?
- Integration: How does your idea connect to existing processes and remain practical under real working conditions?
Requirements
- Target group: Focus on apprentices, while involving the entire store team
- Hybrid approach: A purely digital app is not sufficient; we are looking for a combination of smart tools and real on-site action
- No isolated solution: The solution must fit into the overall system
- Data protection & trust: Strict prohibition of surveillance; individual anonymity is paramount
What We Are Not Looking For
- Solutions that compromise data protection or acceptance
- Concepts that only analyze but do not derive concrete actions
- Overly complex systems that are not practical