Maersk Line: Global Supply Chain Overhaul

Teradata
4 Nov 201604:11

Summary

TLDRMaersk Line, a century-old shipping giant, is embracing digital transformation to revolutionize its operations. Utilizing the Internet of Things, data analytics, and a culture of humbleness and uprightness, Maersk is optimizing its global network of over 600 vessels and millions of containers. Modernized refrigerated containers equipped with sensors allow for real-time monitoring and maintenance, while data-driven strategies aim to reduce costs and improve efficiency. Looking ahead, Maersk plans to commercialize its analytics, offering customers deeper insights and control over their supply chains, creating new revenue opportunities.

Takeaways

  • ๐Ÿšข Maersk Line, a century-old company, transports 15% of the world's GDP and is moving towards digitization using IoT, data, and analytics.
  • ๐Ÿ’ฐ The company has a large cost base with significant investment in assets such as vessels and containers, where analytics helps reduce operating costs.
  • ๐Ÿ” Maersk operates a complex global network of over 600 vessels and millions of containers, with a focus on optimizing operations.
  • ๐Ÿ“ˆ They have identified numerous opportunities for value creation through analytics within their complex business model.
  • ๐Ÿ“ฆ Maersk's refrigerated containers, or 'reefers', have been modernized with sensors to monitor cargo location and temperature, dating back to 1936.
  • ๐Ÿ›  The company uses data to predict maintenance needs, similar to a patient visiting a doctor with known symptoms, to streamline container inspections.
  • ๐Ÿ”„ Maersk spends over $1 billion annually on moving empty containers and uses data analytics to optimize their relocation.
  • ๐Ÿ’ผ They are developing an automated process to assess depot needs for empty containers and route them efficiently.
  • ๐ŸŒ Maersk is digitizing its global assets, focusing on fuel economy, voyage optimization, reefer containers, and empty container optimization.
  • ๐Ÿค The company culture values humbleness and uprightness, which aligns well with data-driven decision-making and embracing new ideas.
  • ๐Ÿ”ฎ Looking ahead, Maersk aims to commercialize sensor data, offering customers more insights and control over their supply chain, creating new revenue streams.

Q & A

  • What percentage of the world's GDP does Maersk Line transport?

    -Maersk Line transports 15% of the world's GDP.

  • How is Maersk Line approaching digitization in its operations?

    -Maersk Line is using the Internet of Things, data, and analytics to digitize its operations and strengthen the global supply chain.

  • What is the significance of analytics in reducing Maersk Line's operational costs?

    -Analytics plays a large part in trying to reduce the cost associated with operating Maersk Line's vessels, network, and equipment.

  • What is the complexity of Maersk Line's business model?

    -Maersk Line's complex business model includes over 600 vessels and millions of containers traveling to nearly 350 ports in 121 countries 365 days a year.

  • How many refrigerated containers does Maersk Line have, and what is their historical significance?

    -Maersk Line has roughly a quarter of a million refrigerated containers, which date back to 1936 and have been modernized with sensors.

  • What capabilities do the sensors in Maersk Line's refrigerated containers provide?

    -The sensors in Maersk Line's refrigerated containers allow the company to monitor the location, temperature of the cargo, and opportunities for critical maintenance.

  • What is the cost implication of moving empty containers for Maersk Line?

    -Maersk Line spends more than 1 billion dollars a year moving empty containers back and forth.

  • How is Maersk Line using data and analytics to optimize the movement of empty containers?

    -Maersk Line is using data and analytics to automate and optimize where empty containers go next, creating a more efficient process for depots around the world.

  • What are the core values that Maersk Line's culture encompasses, and how do they relate to the analytics journey?

    -Maersk Line's culture encompasses core values such as humbleness and uprightness, which lend themselves well to the analytics journey by promoting openness to new ideas, listening, and being convinced by objective facts.

  • What is Maersk Line's future vision regarding the use of analytics and data for its customers?

    -Maersk Line's future vision is to give analytics and data to its customers, providing them with more insights and control over their supply chain while creating new revenue streams.

  • How does Maersk Line plan to commercialize its sensor data and what benefits does it offer to customers?

    -Maersk Line plans to commercialize its sensor data by making it available to customers for transparency and actionable insights, allowing them to engage with their goods in transit and change the value propositions of Maersk Line.

Outlines

00:00

๐Ÿšข Maersk Line's Digital Transformation

Maersk Line, a century-old company responsible for transporting 15% of the world's GDP, is advancing its operations through digitization. By leveraging the Internet of Things, data analytics, and other technologies, Maersk aims to transform its corporate culture and enhance the global supply chain. The company operates a vast network with over 600 vessels and millions of containers, all of which present significant cost and operational challenges. Maersk is particularly focused on using analytics to reduce costs associated with vessel operations and equipment. The company also sees opportunities for value creation through data-driven insights, despite the complexity of managing its extensive assets. A key aspect of Maersk's digitization efforts involves the use of sensors in refrigerated containers, allowing for real-time monitoring of cargo conditions and predictive maintenance. This modernization not only dates back to the company's early beginnings with refrigerated containers in 1936 but also represents a significant step towards a more efficient and data-driven future.

Mindmap

Keywords

๐Ÿ’กMaersk Line

Maersk Line is a century-old global shipping company that transports 15% of the world's GDP. It is a key player in the global supply chain and is central to the video's theme of digitization and optimization in the shipping industry. The script mentions Maersk Line's efforts to modernize its operations using digital tools and analytics.

๐Ÿ’กDigitization

Digitization refers to the process of converting information into a digital format. In the context of the video, Maersk Line is moving towards digitization to improve its operations, culture, and supply chain efficiency. This includes using the Internet of Things (IoT), data analytics, and other digital tools to enhance its services and reduce costs.

๐Ÿ’กInternet of Things (IoT)

The Internet of Things is a network of physical devices, vehicles, and other items embedded with sensors that enable them to connect and exchange data. In the script, Maersk Line uses IoT to modernize its refrigerated containers, allowing for real-time monitoring of cargo location and temperature, which is crucial for maintaining the integrity of transported goods.

๐Ÿ’กData and Analytics

Data and analytics involve the collection, analysis, and interpretation of data to drive decision-making. The video emphasizes the role of data and analytics in reducing operational costs and optimizing Maersk Line's global network. It mentions how analytics helps in managing a complex business model with over 600 vessels and millions of containers.

๐Ÿ’กGlobal Supply Chain

The global supply chain refers to the network of organizations, people, activities, information, and resources involved in producing and delivering a product or service to the end customer. The script discusses how Maersk Line is strengthening the global supply chain through digitization and data-driven strategies, ensuring more efficient and reliable transportation of goods.

๐Ÿ’กCost Base

Cost base refers to the total costs associated with a company's operations. In the video, Maersk Line has a large cost base due to its significant investment in vessels and equipment. The company uses analytics to reduce these costs, which is vital for maintaining profitability in a competitive industry.

๐Ÿ’กRefrigerated Containers (Reefers)

Refrigerated containers, or 'reefers,' are specialized shipping containers designed to maintain a controlled temperature for perishable goods. Maersk Line has been using reefers since 1936, and the script highlights how these containers are now equipped with sensors for modern monitoring and maintenance purposes.

๐Ÿ’กEmpty Container Optimization

Empty container optimization is the process of efficiently managing the relocation of empty shipping containers to where they are needed. The script mentions that Maersk Line spends over 1 billion dollars a year on this issue and is using data and analytics to automate and optimize the process, reducing unnecessary movement and costs.

๐Ÿ’กCulture

Culture, in a corporate context, refers to the values, behaviors, and practices that characterize a company. The video emphasizes the importance of a data-driven culture at Maersk Line, which includes values like humbleness and uprightness, fostering an environment that is open to new ideas and objective decision-making.

๐Ÿ’กCommercialization

Commercialization is the process of making a product or service available to the public for use or purchase. In the script, Maersk Line aims to commercialize its data and analytics capabilities, offering customers more insights and control over their supply chain, which could potentially create new revenue streams for the company.

Highlights

Maersk Line transports 15% of the world's GDP and is embracing digitization.

Utilizing the Internet of Things, data, and analytics to transform company culture and enhance the global supply chain.

Maersk has a large cost base with significant investment in assets such as vessels and containers.

Analytics is crucial for reducing operational costs of Maersk's vessels and equipment.

Maersk's complex business model involves over 600 vessels and millions of containers.

The company operates a global network servicing nearly 350 ports in 121 countries year-round.

Maersk manages two types of assets: ships and containers, including a quarter of a million refrigerated containers.

Reefer containers are equipped with sensors for monitoring cargo location and temperature.

Data analytics helps in predicting and planning maintenance for refrigerated containers.

Maersk spends over 1 billion dollars annually on moving empty containers and is optimizing this process.

An automated process is being developed to assess and route empty containers more efficiently.

Maersk is digitizing its global assets to improve fuel economy, voyage optimization, and container management.

A strong data-driven culture is emphasized within Maersk, with values like humbleness and uprightness.

Maersk aims to provide analytics and data to customers for better supply chain insights and control.

The next stage for Maersk is to commercialize sensor data, offering customers the ability to interact with their goods in transit.

Maersk is leveraging IoT and data analytics to change its culture and strengthen the global supply chain.

Transcripts

play00:03

transporting 15% of the world's GDP

play00:06

century-old Maersk Line is voyage 'uncle

play00:10

steam ahead towards digitization using

play00:12

the Internet of Things

play00:13

data and analytics to change its culture

play00:16

and strengthen the global supply chain

play00:19

so we're a company that has a very large

play00:21

cost base we have some vessels that let

play00:24

me fuel and they themselves are not

play00:26

cheap so we have a lot of money invested

play00:28

too that is tied up in our assets and so

play00:32

analytics really plays a large part in

play00:34

trying to reduce the cost associated

play00:35

with operating our vessels in our

play00:37

network and our equipment and so yes we

play00:40

have a on top of having a very complex

play00:42

business model we also have a

play00:43

fortunately a lot of low-hanging fruits

play00:45

and opportunities to really try value

play00:47

through analytics that complex business

play00:49

model includes over 600 vessels and

play00:52

millions of containers traveling to

play00:54

nearly 350 ports in 121 countries 365

play01:00

days a year

play01:01

marcelin actually operates a global

play01:03

network of two types of assets we are

play01:05

both the ships and we have the

play01:06

containers and while the containers at

play01:08

least the refrigerated ones run into

play01:10

roughly a quarter of a million and there

play01:13

there are equipped with sensors those

play01:15

refrigerated containers or reefers

play01:17

actually date back to 1936 for Maersk

play01:21

but now decades later they are

play01:23

modernized and outfitted with sensors

play01:26

giving Maersk the ability to monitor the

play01:28

location the temperature of the cargo

play01:31

and opportunities for critical

play01:33

maintenance we have to invest that we

play01:35

have to inspect and investigate

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containers at the end of each journey

play01:37

especially the refrigerated ones so we

play01:39

use we use the cents a day that's

play01:41

actually evaluate how should we approach

play01:42

each of those tasks a bit like a patient

play01:44

going to the doctor but you can know

play01:45

what the symptoms are before they turn

play01:47

up spending more than 1 billion dollars

play01:49

a year moving empty containers back and

play01:52

forth Maersk Line is using data and

play01:54

analytics to automate and optimize where

play01:57

empty containers go next when we have to

play02:00

relocate all our empty containers and

play02:02

the historic model has been that you

play02:04

have Depot's around the world and in

play02:05

each of those Depot's they actually

play02:07

themselves individually assess what's my

play02:09

need for for empties right now to have

play02:11

available

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customers and that model can be made

play02:15

more efficient so what we're building

play02:16

from the analytic side is actually a

play02:17

whole automated process for them that

play02:20

does that job it assesses how much they

play02:21

need and it also automatically make sure

play02:23

that those containers are routed to them

play02:25

so that they have that stock that is

play02:27

required without going too far Mayers is

play02:30

digitizing global assets for the future

play02:32

in fuel economy voyage optimization

play02:35

reefer containers and empty container

play02:38

optimization it's a journey

play02:40

requiring a strong commitment and

play02:42

culture to data driven principles the

play02:45

culture is it's very strong in us and we

play02:48

have a culture that encompasses a couple

play02:50

of core values I think the most apparent

play02:54

ones in our everyday work is humbleness

play02:56

and uprightness so it's about actually

play02:57

always being open to other's ideas and

play02:59

to listen partly and partly to always

play03:01

say what you mean and mean what you say

play03:02

and actually be very forthright in

play03:04

sharing your views and then committing

play03:05

to to whatever is decided and I think

play03:07

both those values lend themselves really

play03:09

well to the analytics journey because

play03:11

it's all about actually embracing new

play03:13

ideas and actually listening and letting

play03:15

yourself be convinced by objective fact

play03:17

and then helping others to actually

play03:19

deliver that value afterwards looking to

play03:22

the future Maersk wants to give the

play03:24

analytics and data to their customers

play03:26

giving them more insights and control

play03:28

over their supply chain while creating

play03:31

new revenue streams I think for us the

play03:34

next stage is then to commercialize it

play03:35

is to actually take all that sensor data

play03:37

and make it available both from a

play03:39

transparency point of you to customers

play03:40

but also for actions because you can

play03:42

probably imagine that if a customer had

play03:44

the ability to change the air pressure

play03:46

or the humidity or the temperature or

play03:48

the o2 co2 distribution within the

play03:50

container they can actually engage with

play03:52

their goods while they're in transit and

play03:54

that completely changes the value

play03:55

propositions of the Maersk Line using

play03:58

the Internet of Things data and

play04:00

analytics to change their culture and

play04:02

strengthen the global supply chain

play04:06

you

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Related Tags
Digital TransformationIoTData AnalyticsSupply ChainGlobal LogisticsCost ReductionVessel OptimizationContainer ManagementRefrigerated ContainersCustomer InsightsRevenue Streams