According to APSEZ's media release, Adani Ports and Special Economic Zone (APSEZ) expanded a multi-year partnership with U.S. software provider Kaleris to deploy an AI-augmented terminal operating system across 15 container terminals at nine ports. APSEZ said it plans to allocate up to $100 million in two phases toward automation and optimisation under the partnership, as part of a broader $850 million technology and decarbonisation outlay through 2031, the release states. Economic Times reporting and APSEZ materials attribute expected operational gains to the rollout, including up to 20% improvement in Rubber Tyred Gantry crane productivity and up to 14% improvement in terminal truck productivity. Ashwani Gupta is quoted in coverage saying, "Ai-enabled automation will define the next frontier of competitiveness in ports and logistics."
What happened
According to APSEZ's media release dated June 16, 2026, Adani Ports and Special Economic Zone (APSEZ) has expanded a multi-year agreement with U.S.-based Kaleris to roll out a terminal operating system and AI-augmented optimisation solutions across 15 container terminals spanning nine ports. The media release states APSEZ plans to allocate up to $100 million in two phases specifically to accelerate automation and optimisation through the Kaleris partnership, as part of a broader $850 million technology and decarbonisation outlay through 2031. Economic Times reporting cites APSEZ estimates that the deployment could lift Rubber Tyred Gantry (RTG) crane productivity by up to 20% and terminal truck productivity by up to 14%. Ashwani Gupta is quoted in coverage saying, "Ai-enabled automation will define the next frontier of competitiveness in ports and logistics."
Technical details
Per APSEZ's media release, Kaleris will deploy its foundational terminal operating system and AI-augmented advanced container handling and optimisation modules; the rollout expands on an earlier phase that covered six ports. The announcement frames the deliverables as a unified digital backbone across maritime and logistics operations, with plug-and-play integration across yard and gate workflows and optimisation of equipment and truck moves. The release also quantifies an expected capacity uplift of 91 MMT of additional capacity by 2030, which it describes as roughly 10% of installed capacity.
Editorial analysis
Industry-pattern observations: large port operators increasingly adopt AI-driven terminal operating systems and optimisation layers to squeeze throughput from existing assets while supporting decarbonisation goals. Vendors like Kaleris combine scheduling, yard planning, and equipment-assignment models with optimisation heuristics; successful deployments typically require rich telemetry, tight integration with terminal equipment controls, and operational change management. These projects tend to surface data-quality, integration, and cybersecurity friction points that practitioners must resolve during rollouts.
What to watch
For practitioners: monitor reported rollout timelines across the 15 terminals, the baseline and post-deployment KPIs for RTG and truck productivity, the degree of integration with existing yard management and gate systems, and any disclosures on data governance or third-party access. Observers should also track whether the programme's claimed capacity uplift and the $100 million allocation materialise in phased spending and measurable throughput improvements.
Scoring Rationale #
Notable industry deployment combining a major port operator with an AI-driven terminal OS and a material investment. The story matters to practitioners building operational optimisation, but it is not a frontier-model or platform-level milestone.
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