Collaborative Urban Delivery Optimisation (CUDO)

Developed by Fujitsu-SMU Urban Computing and Engineering Corp. Lab (UNiCEN),
helmed by Professor Lau Hoong Chuin​

About CUDO

CUDO is a resource planning and scheduling tool for logistics service providers.  This tool allows you to consolidate orders and optimise route schedules for delivering goods to retail malls. It continuously learns from in-mall traffic data to provide a realistic inference or estimate on uncontrolled parameters such as service and arrival time.

Key Features

Delivery Planning

Allows input of orders for optimisation planning

Dock Reservation

Auto-reservation of docks upon acceptance of engine’s recommendations

Visual Analytics

Analyses dock utilisation, vehicle movements & wait times

Meet customers’ delivery service requirements

Maximise vehicle utilisation and reduce operational costs

Balance drivers’ workload across the fleet

Reduce total time and distance travelled to minimise carbon footprint

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