Utilize the full potential of your parcel hub
Thanks to e-commerce, parcel volumes are growing worldwide. An enormous number of items in all shapes and sizes, as well as varying volumes on a daily basis, are adding more and more complexity to sorting processes. Hub operators are under tremendous pressure. Even small deviations within interconnected processes and a lack of transparency can lower a hub’s overall throughput and jeopardize adherence to service level agreements.
Advanced analytics provide transparency on end-to-end processes
With Hub Booster software from Siemens Logistics, sorting hubs can be operated as efficiently as possible – thereby minimizing operational costs, optimizing resource allocation, reducing the recirculation rate and maximizing asset utilization.
Hub Booster provides analytical processing functions to improve the visibility of the sorting process chain – from end to end – and supports analysis processes and decision making during operations. Ultimately, maximizing valuable sorting system capacities is about making container loading devices at docks available on time, feeding sorters with a balanced load, and emptying chutes in time.
Hub Booster helps with these tasks by integrating data from essential equipment, processes and intelligent sensors. The solution allows data to be acquired in real time and made available for immediate use for monitoring and analysis. Hub Booster lets users detect performance issues such as recirculation, bottlenecks, blockages, under-utilization and more. User-friendly dashboard and push notifications provide actionable recommendations.
- A holistic view enables end-to-end analysis of a hub’s complete process chain
- Hub operations can be kept at optimal performance by detecting anomalies, uncovering underutilized assets and resources, and locating process inefficiencies
- Automatically generated recommendations guide operators and ensure timely actions
- Resource prioritization, reallocation and process flow optimization maximize productivity, efficiency and asset utilization while lowering operation costs