Case study:
One of the world's largest ship managers, accelerating fleet digitalization
Eastern Pacific Shipping (EPS) is one of the world’s leading ship-management companies, operating a diverse fleet of over 350 vessels including bulk carriers, container ships, chemical tankers, gas carriers, and oil tankers. Headquartered in Singapore with a global workforce, EPS is known for operational excellence and a strong safety culture. With global trade becoming increasingly complex, EPS has accelerated its digitalization program to safeguard crews, cargo, and the environment.
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30+
Contracted vessels
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130K+
Nautical miles sailed with Orca AI
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2K+
Navigational events analyzed
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9/10
Average NPS across the pilot fleet
Managing cognitive load and detection risk in high-density trade lanes
As operator of one of the world’s largest and most diverse fleets, EPS continuously evaluates how navigational risk is managed across vessels in high-density trade lanes and complex port approaches. Several factors shaped the need for additional bridge support:
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Reduced visibility in key corridors
Night-time backscatter in major ports, fog, heavy rain, and structural obstructions like wind rotor sails limit situational awareness, particularly in approaches such as the Singapore Strait.
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Cognitive demand during extended watches
Dense traffic, back-to-back port operations, and long watches put sustained pressure on bridge teams, especially during night transits through the Malacca and Singapore Straits.
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Non-AIS targets in busy sea lanes
Small wooden boats, fishing nets, and buoys don't transmit AIS signals and can be invisible to traditional Radar until a situation is already developing.
We believe the seafarers are at the center of everything; without them, there is no ship and no office. Our goal is to support the Master and crew with tools like Orca AI that strengthen situational awareness, and help keep every voyage safer.
A digital watchkeeper onboard, and fleet-level visibility ashore
EPS deployed the Orca AI platform across 5 vessels (2 bulk carriers, 2 container ships, and 1 tanker) operating in the Singapore Strait, Bay of Bengal, and Pacific trade lanes. The platform operates both onboard, as a real-time support tool for bridge teams, and ashore, giving office teams continuous oversight of navigational performance across the fleet.
Reducing visual load and improving target prioritization
EPS installed SeaPod alongside Radar and ECDIS, giving bridge officers a continuous visual reference that supports target assessment in all conditions. It provides:
- AI-powered detection of nearby vessels, including non-AIS targets such as fishing boats, nets, and buoys
- Thermal and day cameras for clear situational awareness at night and in backscatter-heavy conditions
- Automatic target acquisition in congested port approaches like the Singapore Strait
- Reduced reliance on manual Radar trail management during sustained heavy-traffic watches
Officers spend long periods straining to identify targets. With Orca AI, they can just look at the screen - out of 50 ships, it points them straight to the two they need to look into.
Structured training built around crew rotations
EPS positioned the platform as a crew support tool, not a replacement for officer judgment. 15 training sessions were delivered combining CBT certification, QR-linked onboard learning resources, and sessions aligned with crew rotations. The program is being integrated into the EPS Training Centre pre-boarding curriculum.
Fleet-wide oversight of navigational performance
Shore teams use FleetView to review close encounters, COLREG compliance, and giving-way behavior across vessels and regions. EPS refined event capture settings, including Speed Over Ground thresholds, to ensure consistent identification of relevant encounters across ports such as Antwerp and Klang. Managers correlate system alerts with vessel maneuvers and review time-stamped video to support audits, near-miss investigations, and TMSA inspections.
Fewer close encounters and a decision to scale
Across the 5 vessels, EPS observed that developing situations were identified earlier in the encounter lifecycle, giving bridge teams more time to act. Course and speed adjustments became smaller and more timely, and passing margins grew more consistent during congested transits and port approaches. Crew feedback was strong, with an average NPS of 9.0 across the pilot fleet, with several captains giving a perfect 10. Based on these results, EPS decided to roll out the Orca AI platform across 30+ additional vessels.
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48%
Reduction in close-encounter events per 1,000 nautical miles in open waters
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10%
Increase in average minimum passing distance in open waters