Automated Decision Making

There are many types of AI, eg, Machine Learning, Robotics, Virtual Reality. In this survey we focus on Automated Decision Making.



Navis Customer Research

Importance of Automated Decision Making

How important do you think Automated Decision Making will be in the next wave of innovation for terminal operations?

Extremely important: 39%
Very important: 49%
Moderately important: 10%
Not at all important: 2%

Navis Customer Research

AI and Automated Decision Making

Which decisions do you think could be automated at your terminal with the help of AI?

Container Handling Equipment (CHE) assignments
81%
Decking
81%
Action recommendation, such as replanning, CHE range updating, work queue activation
69%
Gate volume prediction
59%
Vessel stowage
52%
Timing of housekeeping
50%
Operational exception notification
40%
Operational exception prediction
34%
Berth scheduling
33%
Other
12%

Navis Customer Research

Benefits of Automated Decision Making

What do you see as the most important benefits of Automated Decision Making in terminal operations?

Improve consistency of operations
86%
Improve equipment utilization
86%
Help my team work smarter and faster
60%
Improve safety of operations
47%
Better manage billable events at the terminal to increase revenues
33%
Improve environmental regulation compliance
12%
Other
11%

Navis Customer Research

Automated Decision Making and Productivity Improvements

By how many moves do you anticipate Automated Decision Making could increase productivity at your terminal?

None: 2%
1 to 2 moves/hour: 20%
3 to 4 moves/hour: 36%
5 to 6 moves/hour: 39%
7 to 8 moves/hour: 0%
9 to 10 moves/hour: 0%
More than 10 moves/hour: 2%

Navis Customer Research

Challenges to Achieving Benefits of AI

What do you see are the biggest challenges to achieving benefits of AI at your terminal?

Available skills on AI technology
68%
Data quality
57%
Relevant use cases with business benefit
34%
Data availability
30%
Other
14%

Navis Customer Research

Implementing AI at Container Terminals

What phase are you in for implementing Artificial Intelligence at your terminal?

Learning or piloting phase: 56%
No plans to use AI at our terminal: 28%
Have deployed some AI into terminal operations: 11%
Have deployed a high level of AI into terminal operations: 0%
Other: 6%

Navis Customer Research

Investment in Artificial Intelligence

How do you expect your level of investment in AI at your terminal to change in the next 1-3 years?

Decrease
2%
Stay the same
15%
1 to 5% increase
21%
6 to 15% increase
21%
16 to 25% increase
15%
26 to 50% increase
10%
51 to 75% increase
8%
76 to 100% increase
4%
More than 100% increase
4%

Navis Customer Research

If you were to implement (or are in the process of implementing) Artificial Intelligence at your terminal, who would you prefer to approach the AI project?

Navis/TOS provider: 48%
Third party company specializing in Artificial Intelligence: 38%
Internal resources (in house): 2%
Other: 12%

Navis Customer Testimonial

Automated Decision Making reduces the need to hire highly skilled labor staff to handle exceptions and increases productivity by solving exceptions before they can impact operations. This will increase our throughput while directly reducing cost per lift by reducing clerks.

Matt Hunnicutt, Director of IT, Long Beach Container Terminal

Navis Customer Testimonial

Automated Decision Making could reduce SG&A costs and could lead to better equipment utilization, as well as consistent and predictable operations, resulting in improved service to customers.

Jan Buijze, Chief of Operations, Suez Canal Container Terminal

Navis Customer Testimonial

Automated Decision Making will improve operational efficiencies and enable users to work faster.

Arif Essa, Systems Administrator, Transnet Port Terminals

Navis Customer Testimonial

Automated Decision Making could help us to stay competitive by making better operational decisions to improve productivity and customer service.

Uri Regev, IT & Cybersecurity consultant, Haifa Port

Navis Customer Testimonial

Labor cost is the #1 expense for any terminal. By reducing time spent on repetitive tasks that can be aided by AI, will reduce the number of man-machine interfaces which drive up cost.

General Manager of Operations, Large Enterprise Transportation Services Company

Navis Customer Testimonial

Automated decision making could help us to stay competitive by reducing our dependency on human resources (availability, cost issues). Also, could help us to provide consistent productivity.

Jesmond Baldacchino, Manager of IT, Malta Freeport Terminals Ltd. - MFT