A new era for warehouse logistics with PSA Singapore's AI-powered iWX platform
By harnessing the power of artificial intelligence (AI), real-time data and predictive analytics, iWX is setting new standards for efficiency, sustainability and collaboration – solidifying Singapore's reputation as a leading global port city.
Traditionally, warehouse logistics suffer from poor equipment visibility, space congestion, unpredictable trip schedules and inefficient communication.
Bottlenecks uncovered
iWX was developed using a design-thinking approach mapping user pain points, analysing six months of operational data from PSA terminals, Keppel Distripark, and digital systems such as Portnet and SmartBooking, and iteratively prototyping solutions. The process uncovered bottlenecks such as inconsistent dwell times, irregular traffic patterns and inefficient container reuse coordination.
A key differentiator of iWX is its use of machine-learning models that analyse historical gate-in/gate-out data, container attributes and transporter details to predict when containers will be ready for reuse after unstuffing. These AI-powered insights enable the system to recommend suitable containers for reuse among stakeholders, maximising asset utilisation and reducing the need for new container procurement.
When reuse is not feasible, iWX's optimisation engine recommends returning containers to the nearest On-Dock Depot (ODD), minimising unnecessary transport, trucking distances and carbon emissions.
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iWX's marketplace model ensures transparency in container availability while safeguarding sensitive trade data. It respects stakeholder autonomy by allowing shipping lines, as container owners, to approve or reject reuse requests, and hauliers (the reuse requestors) to withdraw their requests if necessary. This balanced approach ensures fair and efficient decision-making for all parties involved.
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