Supply Chain Optimization
Large warehouses need faster, more efficient operations, but manually tailoring each warehouse management system and assigning transport orders sequentially or by exhaustively testing options slows delivery, raises costs, and limits throughput.
Reported impact
KION reports faster planning, implementation, and operation of warehouse software, more standardized and higher-quality WMS adaptations with fewer human errors, and real-time fleet control that increases capacity utilization and throughput while reducing warehouse operating costs.
KION describes an in-house AI implementation for intralogistics that combines Generative AI (GenAI), warehouse management systems (WMS), and genetic algorithms. GenAI is used during planning and deployment to turn a detailed description of a warehouse's processes and structures into a customized WMS configuration, reducing the manual engineering effort normally required for each unique site. The same AI-assisted workflow also automates test runs and documentation, helping standardize implementations and reduce human error. In live warehouse operations, genetic algorithms act as the optimization engine for fleet control: they rapidly evaluate many transport-order allocation patterns and select near-best assignments instead of processing orders rigidly one by one or trying every possible combination. The resulting WMS-driven control loop improves resource use, throughput, responsiveness to changing conditions, and overall warehouse efficiency.
Detailed descriptions of warehouse processes and structures are fed into Generative AI to create a customized WMS configuration. During deployment, the same AI automates testing and documentation. In operations, incoming transport orders are evaluated by genetic algorithms, which score allocation options and pass near-best assignments into the WMS-driven fleet control process for warehouse vehicle movements.
"AI also handles test runs and documentation automatically."
"Generative AI can significantly accelerate this adaptation process."
"This makes it possible to control a highly complex warehouse environment intelligently in real time, resulting in higher capacity utilization, greater throughput"
"artificial intelligence can automatically configure a customized WMS based on a detailed description of all warehouse processes and structures."
"genetic algorithms that optimize the allocation of transport orders in fractions of a second."
"the genetic algorithm achieves time savings of up to 20 % compared to other algorithms, depending on the warehouse conditions"
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Frankfurt am Main is home to the headquarters of the KION Group, and thus the headquarters of KION GROUP AG.
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