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Truck firm TTP to deploy AI for improved operational efficiency

Truck Transit Parks Limited has announced plans to integrate advanced predictive analytics and artificial intelligence into its platform to tackle operational delays. In a recent interview, the co-founder of TTP, Jama Onwubuariri, stated that the company aims to elevate technological innovation in 2025. TTP is known for its electronic call-up system, ‘Eto’, which manages truck […]

Truck Transit Parks Limited has announced plans to integrate advanced predictive analytics and artificial intelligence into its platform to tackle operational delays.

In a recent interview, the co-founder of TTP, Jama Onwubuariri, stated that the company aims to elevate technological innovation in 2025.

TTP is known for its electronic call-up system, ‘Eto’, which manages truck traffic in and out of ports, particularly in Lagos.

“This year, we are focused on taking our technological innovation to the next level. We plan to integrate advanced predictive analytics and artificial intelligence into our platform to anticipate congestion, optimise truck scheduling, and further reduce operational delays,” Onwubuariri said.

He said that the company aims to expand partnerships with public and private stakeholders to strengthen its network, focusing on emerging ports and satellite truck parks across Nigeria and West Africa.

He stated that their goal is to drive continuous improvement by refining systems, lowering costs, and setting new benchmarks for efficiency and transparency in maritime logistics.

Onwubuariri added that their innovative approach has led to significant economic savings for the country.

He reiterated that by reducing truck turnaround times, cutting down on fraudulent practices, and streamlining cargo movement, “our platform is estimated to have saved the nation billions in operational costs and lost productivity.”

He noted that these savings go beyond lower logistics costs, boosting the competitiveness of Nigerian ports and supporting overall economic growth.