Industrial IoT

Order Management

Intro

Digitize Your Order Management to Optimize KPIs

Capturing real-time location data across all manufacturing operations is essential to systematic order management. Based on precise position data, companies can automate manual processes, take immediate action in the event of process violations, and perform analysis to identify bottlenecks. Worker productivity can be increased and process-driven KPIs can be optimized for the long term.

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Men With Tablet In Warehouse

Automated order management leverages location technology solutions to apply object-based control dashboards, including effective visualizations of process steps that allow for easy data-driven decision-making. 

Today’s main challenges in order management

1 | Lack of Transparency:
Unclear batch order status information can result in inefficient order planning. It also hinders traceability when quality problems arise. 

2 | Costly Downtimes and Delays:
Delayed detection of process violations, such as a skipped process step, can lead to costly scrap, rework, or repairs. 

3 | Complex Production Planning:
Process bottlenecks occur especially at peak times (e.g., overrun of buffer zones, over/​under utilization of machines). Changes in production plans further increase the complexity of order handling and process planning.

How to: Efficient Order Management with KINEXON RTLS and KINEXON OS

Automate your order management and benefit from ...

… automated
order monitoring.

… fast, data-based
response times.

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… early
bottleneck detection.

… improved process data quality.