Win a funded PoC with CMA CGM Group

Context and current issues :
Today, ICD/Depots location are assigned by CMA CGM without fully reflecting customers’ actual warehouse locations or operational needs. This frequently triggers depot change requests, creating manual rework, additionnal trucking costs, and operational complexity. The result is inefficient container positioning, suboptimal inland flows, and a degraded customer experience.

Solution proposal :
Implement a customer‑data driven recommendation tool that identifies warehouse locations and dynamically proposes the most suitable ICD based on cost, distance, transit time, and congestion. Customers receive an intelligent, real‑time location and equipment recommendation, with the flexibility to adjust based on their needs and cost requirements.

Expectations and benefits for users :
For CMA CGM :

• Improved container positioning and seamless operation
• More efficient inland flows with reduced equipment changes and depot related costs
• Strategic use of customer data, including monetization opportunities

For Customers:

• Lower trucking costs and optimized inland distance
• Simpler, more transparent depot allocation
• Greater control and improved experience

Market constraints: accuracy of the data, changement management, neutrality perception, capacity limitation at peak seasons)

Context and current issues :
Today, Inland barges serving main river ports are frequently delayed or idle near terminals due to congestion, berth unavailability, weather, and fluctuating water conditions. The lack of real‑time visibility and predictive planning prevents barges from synchronizing arrival with mother vessels, compromising final loading operations. This disconnect results in missed connections, low utilization of barge capacity, equipment idle time, and loss of schedule reliability across the inland–maritime chain.

Solution proposal :
Deploy an intelligent real‑time barge journey and berth optimization tool integrating traffic, weather, river conditions, and port congestion forecasts. The system would dynamically propose sailing speed, arrival sequencing, and berth allocation to align barges with vessel schedules.

Expectations and benefits for users :
For CMA CGM/GIL/GMD etc :

• End‑to‑end traceability of barges and containers
• Optimized inland flows and reduced idle equipment time
• Improved synchronization between inland services and ocean vessels

For Customers:

• Higher reliability of final loading onto mother vessels
• Reduced delays, rollovers, and last‑minute disruptions
• More predictable inland transit times and delivery commitments

Market constraints: Coordination between river ports operators, data quality, local behavioral, trust and governance)