Aventus Supply Chain Solution Demonstrates Polkadot’s Impact on Aviation Inudstry

London, United Kingdom, August 7th, 2024, Chainwire

Blockchain-based solution drives significant improvements in data visibility, accuracy and operational efficiency within cargo handling sector, according to research conducted by Aventus at Heathrow Airport

Airlines can benefit from overall cost savings in their cargo handling operations by leveraging Web3-based solutions, according to a study conducted by Aventus & Airport Perishables Handling (APH) at Heathrow Airport.

The existing toolset used for global ULD management has remained unchanged since the 1990s and relies heavily on manual data inputs, resulting in critical challenges with data visibility and accuracy, secure information sharing, and costly ULD losses, damages and delays – costing airlines north of $1.6 billion annually. 

Web3, through blockchain technology, offers a robust solution to the challenges of traditional ULD management, by: 

Enabling immutable, tamper-proof records that provide a single source of truth, eliminating disputes and improving regulatory compliance;

Reducing administrative overhead and minimize errors by automating manual processes via self-executing smart contracts; 

Enabling real-time visibility into ULD location, custodianship and condition, and streamlining data sharing to enable airlines to optimize operations.

In a pilot study conducted at Heathrow Airport, Aventus, an industry-leading provider of end-to-end Web3 solutions for enterprises and parachain on Polkadot, found that its end-to-end blockchain-based cargo handling solution drives improvements in data visibility, accuracy and operational efficiency within the cargo handling sector.

90% reduction in communication and error incidents as a result of digitized data capture; 

83% reduction in manual documentation time;

81% reduction in time between ULD stock updates from 3-4 hours to just 30 minutes, enabling real-time decision-making; and

28% reduction in loading times as a result of optimized ULD loading workloads.