Digital Solutions
Software That Runs the Terminal Smarter
The Realog Operational Excellence Platform uses AI and machine learning to plan, prioritise and steer cargo operations, so people, equipment and capacity are used where they count.
Infrastructure Sets Capacity.
Planning decides how much of it you use.
More than twenty years of designing cargo terminals showed us that well-built facilities still lose throughput to manual planning. Realog's own software closes that gap.
It combines proprietary productivity metrics, a rule engine and AI models with live shipment, transport and resource data to make better decisions every shift.
Six AI & Machine Learning Models
01
Shipment Priority Optimisation
Assigns work units to every shipment using Realog's productivity metrics, then schedules each handling step against its transport plan.
Better SLA compliance and workforce utilisation
02
Task Optimisation & Prioritisation
Sequences warehouse activities and allocates them to people and equipment, based on shipment and transport plans, Realog's rule engine and the terminal's resource limits.
Better transshipment performance
03
Adaptive Task Prioritisation
Tracks live task progress from the cargo management system and re-plans and re-assigns work before backlogs build up.
Optimised resource utilisation
04
Demand Forecast
Predicts workforce demand across seasonal cycles and peaks, combining seasonal forecasting with Realog's productivity metrics.
Predictive workforce planning
05
Shift Optimisation
Builds balanced shift patterns from the expected 24-hour flight and truck workload, using a bin-packing algorithm.
Less idle capacity
06
Closed-Loop Productivity Optimisation
Spots shipments for the same destination at the breakdown workstation and tops up inbound ULDs. Transit cargo stays in the ULD and matched cargo is added for uplift on an earlier flight.
Increased revenue
Each model solves a specific planning problem. Together they connect forecasting, shift planning and live task control.
Shipment load factor
+10–15%
-
More shipments per flight through intelligent top-up and outbound consolidation
-
Revenue uplift: more shipment revenue per flight or truck
-
Sustainability: fewer empty ULD positions and lower carbon intensity per flight
Transit & import dwell time
−20–30%
-
Earlier uplift and prioritised breakdown cut time in the terminal
-
Faster transshipment: transit cargo makes earlier flights and SLA performance improves across the hub network
-
E-commerce ready: a fast-delivery import product, a growing segment with premium pricing
-
Hub competitiveness: better connections make the hub more attractive for routing
Manual handling touchpoints
−5–10%
-
Transit cargo stays in its ULD, and AI allocates the tasks
-
Lower ground costs: fewer ULD breakdown and rebuild cycles, better workstation hours and lower labour cost per ULD handled