Predictive logistics

Transporting people and goods requires good planning and reliable execution. Adversities should be avoided in advance, or – if ad hoc decision are required – solutions should be found in a predictive way.

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels in your way to smart logistics:

• Perspicacious capacity planning
  Highly accurate predictions are the basis for self-learning simulation algorithms to optimize planning processes in a predictive way. Either, recommendations are given to planning staff or planning processes are automated.
• Predictive maintenance of critical infrastructure
  Discover anomalies in machine behavior, get transparency which factors influence machine inefficiencies. In this way, you can optimize machine operation and sensor usage. Predict accurate machine failure and inefficiencies. This is the basis for efficient maintenance service and spare part management.
• Predictive energy cost reduction
  Predict energy demand in high accuracy, calculate machinery efficiency, and thus, also costs; simulate best possible multi-asset control and give this either as recommendations to operator or automatically control planning or assets.

PREDICTIVE INTELLIGENCE algorithms understand changes. Algorithms adjust automatically and thus, always provide optimal logistics, despite changed processes.

Both, logistics supplier as well as logistics clients benefit directly from next generation of predictive logistics solutions.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

German Rail

Avoiding total damage thanks to predictive maintenance

Opel

Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

BASF: Capacity Planning

Capacity Planning: 5 – 10 % Cost Reduction Potential

Mobil saar

Research project Mobility 4.0