Adani Ports has expanded its partnership with Kaleris with a commitment to invest up to $100 mn in AI-led port automation. The companies announced the investment in a joint statement and described it as a step to accelerate digital transformation across the port operator's network. The financing will support deployment of artificial intelligence technologies and related infrastructure. The expanded arrangement aligns capital and technology resources for accelerated deployment. The collaboration is intended to introduce automated systems for cargo handling, predictive maintenance and operational optimisation across terminals. The firms said the work will aim to raise throughput, shorten vessel turnaround times and strengthen workplace safety by combining Kaleris's logistics software with Adani Ports' physical assets. The initiative will also focus on modernising control systems and improving real-time decision making. Combining predictive analytics with automation is designed to improve asset utilisation and reduce dwell times for cargo. Implementation is planned on a phased basis starting with pilot projects at selected terminals before scaling across the network. The partners outlined a roadmap that includes systems integration, data platform rollout and development of analytics capabilities to support continuous improvement. The agreement also envisages investment in training and change management to enable staff to operate alongside automated systems. Workstreams will cover software customisation, cybersecurity measures and performance benchmarking to ensure interoperability across terminals. Executives characterised the arrangement as a strategic step to position the port operator at the forefront of smart logistics in the region. The size of the commitment underlines the emphasis on technology-led productivity gains as global supply chains continue to adopt automation. Stakeholders will watch deployment progress and operational metrics as the partnership moves from pilot to wider implementation. Investors and customers will monitor cost efficiencies and service reliability as measures of success once the solutions are fully rolled out.