Real-time visibility on container shipment is now a reality!

Real-time visibility on container shipment is now a reality!

Gain real time visibility on your container on sea freight, trucks, rails, or vessels. 
The IoT tracker helps gain visibility in the event of a delay across the whole supply chain, reduce the in-transit lead time & optimize the in-transit inventory wherever their location around the world.

Take control of your containers and improve your customers’ experience.

Considering the high amount of investment in industrial packaging, gaining visibility and tracking these assets has become a priority. With the increased complexity of the logistics value chain, companies need see beyond their own sites to suppliers’producers’, distributors’ and end-clients’. 

IoT plays a crucial role into providing businesses with end-to-end insights on their goods as they travel by land, sea, and air. Access to data can be used to improve inventory management, reduce carrying costs and increase business predictability. Enhanced productivity becomes possible by reducing losses and identifying weaknesses in the supply chain. 

Security of the supply chain is enhanced guarantee business continuity and reinforce existing security protocols.

Considering that 10% of packaging fleets are lost every year, IoT solutions can help businesses to: 

  • Optimize asset fleets – increase fleet usage and decrease dwell time – and prevent any type of leakage or production interruptions in production 
  • Reduce asset loss: detection of hot spots for losses
  • Increase supply chain flow visibility & efficiency – supply chain optimization and reduce transport costs  
  • Decrease CO2 footprint

Asset Tracking

Cost saving in supply chain & logistics is the most common business objective for companies today. A lack of asset visibility and traceability leads to hidden costs that can be avoided through digitalization and collaboration.

“Learn, monitor, anticipate” are the 3 magic words that define what needs to be done: gather data to learn from the past, monitor your supply chain to react on time, and predict the future with consistent data.