Movement data is a crucial source of information in logistics as it provides a comprehensive picture of changing transportation and storage conditions over time. This data covers various aspects, including open and completed orders, current stock levels, incoming and outgoing pallets and other relevant information.

The availability of movement data enables logistics companies to obtain an accurate snapshot of their operations. The more comprehensive and up-to-date the data is, the better decision-makers can make informed decisions and optimize processes. By analyzing movement data, companies can identify bottlenecks, detect inefficient processes and uncover opportunities for improvement.

An important aspect of movement data is its role in supporting real-time logistics solutions. By continuously collecting and analyzing data, logistics systems can respond to changing conditions and make adjustments in real time. This enables dynamic control of stock levels, optimization of transport routes and efficient coordination of deliveries.

In addition to operational optimization, movement data provides the basis for the automation of logistics processes. By integrating data analysis and artificial intelligence, companies can develop forecasting models that predict future demand and shipping patterns. Based on this, automated decisions can be made to maximize efficiency and reduce costs.

Overall, movement data plays a crucial role in optimizing logistics processes and increasing the competitiveness of companies. By using it, logistics companies can improve their operations, better meet customer requirements and increase their efficiency.