• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

How AI Could Solve Shipping Container Buildup at Ports

Jane Marsh / 3 min read.
September 27, 2022
Datafloq AI Score
×

Datafloq AI Score: 70

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/uEwTf

The increasingly important role of shipping ports worldwide – especially during the COVID-19 pandemic – is a hot topic in the shipping and logistics industry. Many factors influence seaports’ efficiency and smooth operation, such as current market demand, empty container availability and other supply chain disruptions.

Some of the busiest seaports are becoming increasingly congested, making it challenging for importers to receive freight on time. Many shipping companies are looking for alternative methods of transporting cargo, whether it’s using aviation carriers, railcars or sending maritime vessels to ports in other locations.

Many ports are now reporting a significant increase in shipping container buildup and are looking for innovative solutions. Artificial intelligence (AI) may help alleviate these congestion issues and help the industry operate more efficiently.

Understanding the Buildup of Shipping Containers at Major Ports

Two of the nation’s busiest ports on the West Coast – the Port of Los Angeles and the Port of Long Beach – handle around 40% of incoming cargo shipped to the United States. As a result, achieving operational efficiency is a top priority for these ports.

It’s well-known that delays and disruptions create a domino effect in the industry, causing slowdowns and negative impacts on other supply chain members. Additionally, ports are facing issues with the workforce, specifically in terms of finding enough dockworkers and settling contract negotiations to avoid worker strikes.

The number of processed shipping containers is decreasing, causing a significant spike in the amount of time idle containers stay in place, otherwise known as increased “dwell time”.

Another issue causing chaos at ports is that workers are finding it challenging to book dual transactions. These transactions involve workers delivering a full container to a port and picking up another on the same trip.

As demand continues to increase, some organizations are now charging fees due to port congestion. For example, Active Minerals International, LLC announced a temporary $300 per container surcharge on exported products. The goal of the fee is to help protect consumer supply chains and ensure customer delivery expectations are met.


Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

Consent

How AI Might Help Ease Container Buildup

Because there are several contributing factors causing massive buildup at the nation’s ports, it’s critical for shipping companies and other professionals in the industry to find viable solutions. The 2022 holiday season is just around the corner, meaning peak season could be a nightmare if these issues are not at least somewhat resolved.

One potential solution to the lack of staff and equipment at ports is AI. According to co-founder & CTO of Orca AI, Dor Raviv, AI can facilitate increased automation at ports with the ultimate goal of improving operational efficiency.

Ships can also incorporate AI onboard to gain better visuals and traffic updates, allowing them to make more informed decisions regarding travel times and route planning. AI also helps foster better communication between fleets and ports. Sensors can provide real-time data to ships at sea and port workers on land, ensuring that no vessel is functioning in isolation.

Here are some other ways AI can help reduce shipping container buildup:

  • Prioritizes which containers should be processed first
  • Allows for container-to-driver matching using predictive analytics
  • Maximizes the time trucks have at a port
  • Supports dual transactions and ensures no driver leaves with a bare chassis

The final point is also beneficial for the environment. The shipping industry is focusing on reducing its carbon footprint and leveraging new technologies to achieve this goal. For example, shipping companies sometimes invest in scrubbers to remove toxic elements from the air, maintaining good outdoor air quality in the surrounding areas of ports.

Anyone in the shipping industry knows the goal is to create a more synchronized cargo flow management system to benefit the entire maritime shipping community.

Leveraging AI to Overcome Industry Challenges

AI will likely play a more critical role as the issues of port congestion and a lack of efficiency continue to cripple the global supply chain. If more companies within the industry invest in AI-based solutions, port congestion, worker shortages and poor efficiency could vastly improve to support the increasingly globalized economy.

Categories: Artificial Intelligence
Tags: AI, Data, shipping, supply chain
Credit: Photo by Timelab Pro on Unsplash

About Jane Marsh

Jane works as the founder and Editor-in-Chief at Environment.co. She covers content related to energy, agtech, and environmental technology.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post
Host your website with Managed WordPress for $1.00/mo with GoDaddy!

Related Articles

The Advantages of IT Staff Augmentation Over Traditional Hiring

May 4, 2023 By Mukesh Ram

The State of Digital Asset Management in 2023

May 3, 2023 By pimcoremkt

Test Data Management – Implementation Challenges and Tools Available

May 1, 2023 By yash.mehta262

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics app application Artificial Intelligence BI Big Data business China Cloud Companies company costs crypto customers Data design development digital environment experience future Google+ government information learning machine learning market mobile Musk news Other public research sales security share social social media software strategy technology twitter

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • Oracle Cloud Data Management Foundations Workshop
  • Data Science at Scale
  • Statistics with Python
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • 5 Reasons Why Modern Data Integration Gives You a Competitive Advantage
  • 5 Most Common Database Structures for Small Businesses
  • 6 Ways to Reduce IT Costs Through Observability
  • How is Big Data Analytics Used in Business? These 5 Use Cases Share Valuable Insights
  • How Realistic Are Self-Driving Cars?

Search

Tags

AI Amazon analysis analytics app application Artificial Intelligence BI Big Data business China Cloud Companies company costs crypto customers Data design development digital environment experience future Google+ government information learning machine learning market mobile Musk news Other public research sales security share social social media software strategy technology twitter

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!