Use cases
AI in the supply chain: efficient, resilient and sustainable
The supply chain is the backbone of every company – it determines how efficiently, reliably and cost-effectively goods and services reach customers. However, in a globalized and dynamic world, traditional methods quickly reach their limits. Delays, inefficiencies and a lack of transparency can cause enormous costs and jeopardize competitiveness. Artificial intelligence (AI) is transforming the supply chain by:
- Optimize planning to avoid bottlenecks,
- Gain real-time insights to detect faults at an early stage,
- Reduce costs through efficient route planning,
- Achieve sustainability targets and comply with legal requirements.
The AI use cases in the supply chain at a glance
Problem: Stock levels are often either too high or insufficient.
Solution: AI analyzes order patterns and consumption data to calculate optimal stock levels.
Benefits: Reduced inventory costs, optimized capacity utilization and improved delivery capability.
Further use cases
Discover exciting use cases from different areas of the company and be inspired by how other teams find and implement innovative solutions. This exchange opens up new perspectives and creates valuable synergies for joint growth.
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