Navis Customer Research
Which decisions do you think could be automated at your terminal with the help of AI?
| Container Handling Equipment (CHE) assignments |
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| Decking |
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| Action recommendation, such as replanning, CHE range updating, work queue activation |
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| Gate volume prediction |
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| Vessel stowage |
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| Timing of housekeeping |
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| Operational exception notification |
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| Operational exception prediction |
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| Berth scheduling |
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| Other |
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Navis Customer Research
What do you see as the most important benefits of Automated Decision Making in terminal operations?
| Improve consistency of operations |
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| Improve equipment utilization |
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| Help my team work smarter and faster |
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| Improve safety of operations |
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| Better manage billable events at the terminal to increase revenues |
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| Improve environmental regulation compliance |
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| Other |
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Navis Customer Research
By how many moves do you anticipate Automated Decision Making could increase productivity at your terminal?
Navis Customer Research
What phase are you in for implementing Artificial Intelligence at your terminal?
Navis Customer Research
How do you expect your level of investment in AI at your terminal to change in the next 1-3 years?
| Decrease |
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| Stay the same |
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| 1 to 5% increase |
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| 6 to 15% increase |
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| 16 to 25% increase |
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| 26 to 50% increase |
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| 51 to 75% increase |
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| 76 to 100% increase |
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| More than 100% increase |
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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 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
