One of the key benefits of ACS is real-time visibility. By integrating information from the stakeholders, the platform provides a comprehensive overview of cargo status, improving transparency and enabling better coordination, says Mukesh Mudholkar, Vice President, Air Cargo Practice, Kale Logistics Solutions.
The industry is experiencing a transformative era, driven by technological advancements to enhance efficiency, safety, and transparency. With the proliferation of e-commerce and global trade, there is a need for optimised air cargo management systems. Airport Cargo Community System (ACS), enabled by AI, and IoT, and big data are leading this revolution.
ACS is a collaborative platform linking stakeholders of the air cargo supply chain. This platform facilitates seamless communication and data exchange, optimising cargo handling processes. One of the key benefits of ACS is real-time visibility. By integrating information from the stakeholders, it provides a comprehensive overview of cargo status, improving transparency and enabling better coordination. For example, a delay in customs clearance can be communicated to all parties, allowing for quick adjustments and minimising disruptions.
Optimising air cargo operations
AI is playing a pivotal role in optimising cargo operations. Predictive analytics, powered by AI, allows for accurate forecasting of cargo demand, enabling airlines to optimise their capacity and routes. ML algorithms analyse historical data, weather patterns, and market trends to predict shipment volumes and optimise fleet utilisation. By continuously monitoring cargo movements and environmental conditions, AI can identify irregularities such as temperature deviations or unauthorised access, triggering immediate alerts, and preventive actions.
The IoT compliments AI by providing real-time data through connected devices. IoT sensors embedded in cargo containers monitor temperature, humidity, and location, ensuring sensitive goods such as pharmaceuticals and perishables are transported under optimal conditions. The integration of IoT in cargo management systems enables continuous tracking & enhances security and reduces risk of theft or damage.
Data-driven decision-making
Data-driven decision-making is revolutionising cargo management by providing actionable insights. Advanced analytics tools process vast amounts of data from various sources, offering valuable information for strategic planning and operational improvements. Data analytics facilitates capacity optimisation by identifying underutilised routes and peak demand periods, enabling airlines to make informed decisions on resource allocation. Additionally, it also helps in performance monitoring by tracking KPIs such as on-time delivery rates and cargo handling efficiency. Data-driven insights support dynamic pricing strategies. By analysing factors such as market demand, competition, and operational costs, the airlines can adjust pricing in real-time and maximise revenue, while maintaining competitive pricing structures.
Advanced cargo handling systems
Modern ground handling systems, when integrated with ACS, create a seamless flow of data from enterprise systems to community platforms. Advanced technologies such as drones for inventory management, robotics for automated handling, and 3D warehouse visualisation for optimal planning are streamlining ground handling operations. These innovations improve efficiency and contribute to a sustainable air cargo ecosystem. The combination of automation, real-time data, and advanced planning tools allow for precise cargo handling, leading to improved service delivery.
