Renault optimises just-in-time production for 100k shipments with precise vessel data
This case study explores how Renault integrated MarineTraffic Container Intelligence into its Control Tower to gain real-time visibility of inbound shipments, reduce logistics risks, and protect just-in-time production.
Now, we can proactively manage disruptions before they impact production.
Alexandre Royer, Inbound Process Engineering
Limited real-time visibility into over 100,000 containerised parts shipments put Renault’s just-in-time production model at risk, leading to unexpected delays, costly emergency logistics, and inefficient manual tracking across shipping lines.
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Renault integrated MarineTraffic Container Intelligence into its Control Tower, combining real-time vessel tracking, predictive ETAs, and automated alerts to proactively manage inbound logistics and eliminate supply chain blind spots.
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Read the case study to learn how Renault:
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- Reduced emergency logistics costs by avoiding last-minute air freight
- Gained real-time visibility into 100,000+ containers without manual follow-ups
- Improved production resilience by anticipating and preventing shipment delays
Navigate terminal congestion with Kpler
Navigate terminal congestion with Kpler
Upcoming Webinar
Navigating Maritime Risk:
Harnessing Data for Effective Risk Management
25 July 10:00 New York / 15:00 London
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