Reduce – Reuse – NOT Recycle: No data from single-use-packaging
The utilization of single-use-packaging damages the environment consuming high amounts of energy and resources like Water. Even leaving out production, it quickly becomes clear that the sole extraction and transportation of the needed raw materials for the finished goods eat massive amounts of resources, not to mention the post-usage aftereffects caused by waste disposal, which adds to that heavy imprint.
Single-use-packaging = lack of transparency within the supply chain
Material and resource consumption aside, a great amount of valuable knowledge along the supply chain goes astray for companies depending on single-use-packaging – knowledge in the shape of tangible data. This data could have a massive impact on product on process quality along the delivery chain. Without the generation of this data, e. g. by means of container management, the supply chain remains a black box.

Difficulties monitoring the environmental impact
Missing data within the supply chain can have a negative environmental impact in multiple ways: Companies risk using their resources in vastly inefficient ways, making decisions rather by guess than on an informed analytical basis. This has a tremendous impact on the production process and costs, but most importantly: on the environment we live in.
Using data efficiently
A digitised container management with reusable packaging collects the entirety of all important data within the supply chain, trumping unmanageable environmentally damaging single use packaging. The obtained data is used to monitor all components, activities and consequences of dynamic processes and products. For system participants of an integrated container management this opens up a door to a vastly simplified way of dealing with problems within the delivery chain.
More data via a digital container management
All in all, the collected data provides more transparency, traceability, ensuring a better product quality and a much more efficient resource consumption.
Without the gained data, there is no logical basis on which efficient measures can be taken. How much data exactly is needed is determined by the respective application case.
A vast array of technology can be used for the generation of the data, like RFID, LoRaWAN or sensor technology.
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Optimized Logistics Solutions for the Automotive Industry: comepacks Service Center Koblenz
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