Logistics platform uses IoT to speed up shipping

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Spotted: A new B2B SaaS platform by Wakeo provides real-time information on sea, air and road transport flows. The platform uses satellite data, and embeds GPS and Internet of Things (IoT) systems into transport trucks to track movements. The platform operates using machine learning to continually update and adjust transport conditions. Alerts are then sent to operational teams so they can anticipate arrival times.

The system is designed to help industrial shippers and freight forwarders optimise their supply chains. Until now, data available to shippers has been fragmented. This makes it hard for shippers to anticipate and plan for delays. Wakeo’s automated platform pulls together the fragmented data, providing transparency, and allowing businesses to better manage just-in-time supply chains.

Wakeo is already being used by shipping companies such as Air Liquide, and Faurecia. However, it is not the only company focussing on using machine learning to improve B2B shipping. The ports of Rotterdam and Los Angeles have recently developed their own dynamic mapping and tracking systems to provide real-time data on transport logistics.

Takeaway: Just-in-time logistics has revolutionised the shipping industry, but it has also left businesses open to costly delays. If goods do not arrive as anticipated, it is sometimes necessary to shut down assembly lines and factories. IoT technology and machine learning platform’s like Wakeo’s make it possible to track goods across multiple modes of transport as they move through the delivery system. By allowing delivery times to be pinpointed more exactly, Wakeo is making transport and logistics more predictable. This could reduce losses to businesses that rely on goods to arrive in a precisely-timed manner.

Website: www.wakeo.co
Contact: [email protected]

Company founded in: 2016

Source: New feed 1