Coles has signed a strategic partnership with Microsoft to use cloud-based technology to transform shopping for customers, make life easier for workers and improve productivity across the business.

Coles signs with Microsoft to go into the cloud

Coles has signed a strategic partnership with Microsoft to use cloud-based technology to transform shopping for customers, make life easier for workers and improve productivity across the business.
This is the latest in a series of global partnerships and developments through which Coles is building its technology and digital capability.
The long-term strategic partnership is founded on Microsoft Azure becoming Coles’ cloud platform, which will enable Coles to drive simplicity and efficiency in its operations by migrating its applications to Azure.
Together with Microsoft, Coles is building an enterprise data platform in Azure that will power advanced analytics across Coles and enable the rapid deployment of artificial intelligence (AI) technology to drive innovation in physical stores and through the supply chain.
The use of Azure AI services will improve Coles’ ability to use a variety of customer data to drive decision making and better tailor its range to meet the needs of customers and how they like to shop. These decisions will be based on deeper data analysis from its proprietary research, Flybuys and customer transactions.
In addition to more personalised customer service, a key part of Coles’ Smarter Selling strategy is in its stores, where workers will be provided with a range of new tools that will transform how they work, such as removing manual tasks for repetitive activities like stock management and price markdowns. These changes are designed to boost productivity and allow them to focus on the things that matter most to customers.
Coles’ technology and digital capability
Recent announcements from Coles have included:
Oct 5, 2018: Two new ambient automated distribution centres to be built by German automation specialist Witron as part of the modernisation of Coles’ supply chain.
Feb 12, 2019: Coles implementing SAP systems to transform store support functions in the areas of HR, indirect procurement and financial reporting.
Mar 1, 2019: Coles partners with Optus to rollout a high-speed network, driving store efficiencies and innovation.
Mar 26, 2019: Coles enters partnership with Ocado to bring its online grocery platform, automated fulfilment and home delivery to Australia.

Spotlight on Promat 2019 - from MHD magazine

Spotlight on Promat 2019 – from MHD magazine

In early April I had the opportunity to visit Promat 2019 in Chicago. Promat is North America’s largest materials handling equipment and systems exhibition, featuring over 950 exhibitors and 150 educational seminars. Read more

Artificial intelligence gets political backing

Just weeks after launching its new $33 million Applied Artificial Intelligence Institute (A²I²), Deakin University has welcomed funding commitments from State and Federal Labor to establish a National Centre of Artificial Intelligence Excellence in Melbourne.
Vice-Chancellor Professor Jane den Hollander AO said Deakin stands ready to work with the state and a future Federal Government to ensure the centre is best positioned to help prepare local and global communities for the jobs of the future.
“Deakin is committed to supporting the communities we serve and we know there will be an increased demand for AI technology by business, industry and in the wider community,” Professor den Hollander said.
“Deakin’s sustained commitment to AI with a $32.7 million investment in A²I², along with the strong support of state and Federal Labor, means we are pushing the boundaries of what’s possible between human interactions and artificial intelligence.
“Deakin looks forward to working with the State Government and a future Federal Government to participate in a process that will best locate the new National Centre of Artificial Intelligence Excellence.”
On Friday 12 April, Professor den Hollander joined Victorian Minister for Jobs, Innovation and Trade Martin Pakula to launch A²I² at Deakin’s Burwood Campus.
A²I² (pronounced A squared, I squared) merges the capabilities of the University’s Centre for Pattern Recognition and Data Analysis (PRaDA) and the Deakin Software and Technology Laboratory (DSTIL), bringing together all aspects of AI research and development from fundamental science to how it translates into commercial products for real-world application.
Professor den Hollander said A²I² had a particular emphasis on developing the partnership between the human user and the artificial intelligence (AI) system, and would explore how AI can present information that builds trust, is easily comprehensible, useful and timely.
“The ability of machines to imitate intelligent human behaviour is already part of our lives. Just ask Siri, Alexa or Google. AI is helping hospital trauma centres make faster, better decisions, and researchers develop improved materials for manufacturing,” Professor den Hollander said.
“Much is made of the potential for AI to replace human intelligence, but AI’s true potential lies in its capacity to enhance human abilities rather than replace them. We’re not building robots to take the place of humans, but we are creating technology that will work alongside people to help them make more informed and better decisions.”
Artificial intelligence-based concepts have proven valuable in the transport and logistics industry. See some examples here.

AI trends to look out for in 2019

Tom Christodoulou

In today’s digital world where humans and technology-powered systems interact in more connected and intelligent ways, enterprises that strive to achieve future growth realise that it is critical to lead with digital innovation to keep up with the expectations of an increasingly discerning end user. Those who don’t move fast enough will be forced out of the market.
Automation and AI capabilities are integrated into new or existing applications to transform human workflows, interactions and provide them with real-time decision support. They will provide natural extensions of tools already deployed in the customers’ work environments to create a more dynamic ecosystem focused on improving worker productivity, driving more efficiencies and developing safer environments.
Whilst adoption of AI and automation technologies is steadily increasing globally, we are seeing that enterprises are also leveraging on augmentation technologies in complement. Organisations are harnessing mobile technologies to empower their frontline workers with tools and data that enable them to become more productive and be able to make real-time decisions at the edge of the enterprise. This frees workers from repetitive tasks, allowing them to focus on tasks that bring greater impact on delivering better customer service.
This is especially important in markets faced with fast-rising labour costs or rapidly shrinking workforces. Japan, for example, faces both high labour cost and an ageing population, and enterprises and workers have embraced automation and augmentation technologies without fear of robots replacing humans at work.
Supply chain fulfilment transactions are growing exponentially for both B2B and B2C engagements. The exponential growth will drive the customers who are deploying at scale to seek advanced automation. When combined with increased edge power, machine learning (ML) and AI-driven tools, it will augment the human workforce for enhanced productivity.
Inventory management will leverage automation and AI to improve worker productivity and accuracy, and identify stockouts, assigning worker tasks and ordering products. Drones are being utilised to complete cycle counts in warehouses. Moving the process of data capture into the air provides on-demand checks and avoids the additional time and expenses spent on having employees access difficult to reach locations within the warehouse.
Moving material around efficiently and accurately enables manufacturers and distributors to reduce costs, improve productivity and meet demanding customer schedules. In the product packaging phase, robots are using machine vision, sensors and ML to mimic human capabilities (including touch). In addition, customer service can be augmented via automation (robots) and AI solutions, both online or in-store.
In terms of product delivery, drones and robots are used to cross difficult terrain and carry larger objects. Amazon and UPS are using delivery drones to reach customers in remote locations. An integrated service with autonomous vehicles and robots or drones demonstrates a more collaborative way of leveraging automation.
Automation driven by AI has empowered robotic-based capabilities and data management as well, creating a collaborative world where more natural, effective interaction happens among autonomous things or between humans and machines. Advanced automation brings more intelligence to businesses and delivers a performance edge in a data-rich environment.
Tom Christodoulou is the sales director of Zebra Technologies ANZ.

AI power – from MHD magazine

Levine Naidoo

Collaborative business and AI are reinventing the digital economy.
In today’s connected economy, organisations are increasingly reliant on collaborative business with existing and new trading partners (customers, suppliers and regulators). The latest innovations in artificial intelligence (AI) are equally contributing to the rapid augmentation of business models. The use of AI is becoming pervasive in how products and services are designed, built and delivered – ushering in a new wave of economic growth. In fact, more than half of outperforming supply chain executives surveyed said their top investments in the next three years will be cognitive or cloud. 86 per cent said cognitive computing will transform their demand planning and forecasting capabilities (Institute of Business Value, 2017).

“Every business is impacted by two types of activities in varying degrees – there are no exceptions.”

Business friction impedes collaborative performance
Any hindrance or business friction in collaborative-styled trading partner interactions and internal processes contributes to significant loss of national productivity, increased operational costs and lowered working capital. Friction is costing Australian businesses $29 billion a year (CMO from IDG, 2018). The economic impact can be expected to grow in the Australian economy as supply chains have lengthened for all sectors over the last 50 years. This is largely-driven by production being fragmented across more countries (Rachel Adeney, 2018). If organisations are to meet increasing demands to become more efficient and competitive, they must tackle the friction and fragmentation challenge.
Compliance can also increase business friction
The annual regulatory compliance cost imposed on the Australian community is estimated around $65 billion with about 72 per cent being attributed to tax, financial system, corporations, competition and consumer laws and regulations (The Mandarin, 2018). Most compliance regimes (regulatory and corporate governance, risk and compliance based) are introduced with an intent to increase performance in some form, shape or the other. However, in many instances they tend to increase business friction.
Friction impacts every business to varying degrees
Every business is impacted by two types of activities in varying degrees – there are no exceptions. The first being procurement-related activities, with the most common amongst all businesses being accounts payable and accounts receivable (sending and receiving invoices, payments and remittance advices). The second type of activity is compliance and the degree of impact depends on the type of business – tax (company, payroll and indirect) and superannuation affects every business. It is also important to emphasise that compliance activities are sometimes inseparable from other activities, for example, GST compliance is embedded in procurement related activities.

“The use of supply chain capabilities and fit-for-purpose AI can reduce friction and raise performance.”

Supply chain capabilities have evolved over time to reduce friction and raise performance
Supply chain capabilities have evolved in leaps and bounds over the last decade to create efficient ecosystems of organisations, people, activities, information and resources.
A supply chain philosophy can be applied to digitally transform typical or common areas of friction:

  • Enriched digital interactions – trading partner onboarding and subsequent interactions are enriched via digital channels.
  • Collaborative business to business – processes and activities are optimised and automated via B2B integration techniques.
  • Insights and optimisation – visibility and advanced insight enabled by AI.

Leveraging the full power of AI for visibility, insights and optimisation
Watson Supply Chain Insights includes advanced AI capabilities specifically designed to give supply chain professionals greater visibility and insights. Companies can create situational awareness by combining and correlating the vast swathes of data they possess and see the impact of external events such as weather and traffic.
Using the operations centre, supply chain professionals can drill down in any given event to understand what orders are impacted and the potential financial implications. Watson can correlate all relevant information about a supplier or customer to quickly get a 360 view for impact analysis. It can help supply chain practitioners plan for mitigations based on a complete view of a supplier or customer. In turn, this allows supply chain professionals to look beyond their own operations and align with business and customer needs.
An example of harnessing AI
Lenovo took part in the Watson Supply Chain Fast Start program, enabling it to complete its first analyses with IBM Supply Chain Insights in just five weeks (IBM, 2018). In this short and focused exercise, the IBM team helped Lenovo complete three AI-driven use-case analyses using supply chain data from its production system. Lenovo is using IBM Watson Supply Chain Insights to rapidly predict, assess and mitigate the risk of disruptions to its supply chain. The average response time to supply chain disruptions shrinks from days to minutes — up to 90 per cent faster than before.
Lenovo’s supply chain professionals are now gaining the visibility to drive faster, better-informed decisions. If a key link in the supply chain is disrupted, they can drill down to identify which of its orders are affected, determine the potential financial implications, and act to mitigate the impact.
To support this new way of working, Lenovo is embracing a collaborative approach to decision-making. Today, supply chain managers from across the business meet in ‘resolution rooms’ — digital spaces that bring key stakeholders together quickly for even shorter response times.
Supply chain capabilities can create a digital fabric to power the economy
Organisations are constantly challenged to move resources, assets, inventory and personnel much more effectively to ensure they exceed client expectations. From better insights to driving down operational costs, AI can help organisations build more agile, intelligent and customer-centric supply chains.
The use of supply chain capabilities and fit-for-purpose AI can reduce friction and raise performance. In many cases compliance rules can also be seamlessly embedded into everyday collaborative business activity as a convenience or operational efficiency as opposed to compliance burden. This approach raises performance by a factor of two and used within the enterprise and across a trading community will create a new ‘digital fabric’.
References:

Levine Naidoo is the IBM Watson Supply Chain Leader A/NZ. For more information email levine.naidoo@au1.ibm.com.
 

Introducing AI: keep workers on side

Artificial intelligence (AI) could provide a boost to workforce productivity, but organisations need to build their employees’ trust in these technologies and upskill staff appropriately if they are to take full advantage of the benefits.
“AI is already being used to complete vital tasks in workplaces across a range of industries, but it could be used to boost productivity for the workforce generally,” said managing director of recruiting firm Hays in Australia and New Zealand Nick Deligiannis.
PwC analysis suggests that AI could contribute USD 15.7 trillion to the global economy by 2030, with USD 6.6 trillion of this figure coming from increased productivity. These gains are expected to come from the automation of processes, coupled with AI technologies augmenting the existing labour force.
There are already examples of where AI is starting to have this sort of impact. Two examples are shared in the latest Hays Journal, which explores this issue: fund managers are using AI to track media or social media stories about particular companies to glean important information that could impact share prices, while GP are trialling an AI system that conducts an initial triage of patients to determine who requires primary care.
AI drives demand for more highly-skilled professionals
While some basic positions are likely to be taken over by machines, AI is also creating a need for more highly-skilled professionals.
Associate Professor in Artificial Intelligence at the University of Bath Joanna Bryson gives the example of a bank that is using chatbots to deal with basic customer enquiries.
“You would think that would reduce the number of people managing the telephones, but what they found was that customers felt more engaged and ended up contacting the bank more,” she said. “The other interesting problem was that the chatbots were solving all the easy problems.”
Managing director ANZ of Nuance Communications Robert Schwarz agreed: “Virtual assistants allow organisations to provide their customers with fast and accurate self-service, which is often more convenient than available alternatives. This also reduces call centre costs and has the effect of freeing up agents to undertake more value-adding tasks that are more complex in nature.”
“With AI taking over routine or repetitive tasks, employees can focus on the more exciting aspects of their job or even move into other areas of the business,” said Mr Deligiannis. “Upskilling will be essential to ensure people become more highly-capable experts in their field.”
HR must build trust and alleviate fears
While AI will undoubtedly make some jobs easier, it can also increase fears around career security within the workforce.
Yet a 2018 study, Is automation labour displacing? Productivity growth, employment, and the labour share by David Autor and Anna Salomons found that AI has had a positive effect on aggregate employment.
“HR will need to support the implementation of AI and ensure it is used responsibly while alleviating the perceived threat that many workers see it posing to their livelihood,” says Mr Deligiannis. “Part of this will involve talking about the rationale behind it, and explaining how it can help individuals perform their job, and potentially develop their career through learning new skills.”
This is supported by marketing leader for cognitive process transformation at IBM Global Business Services Owen Tebbutt who said: “The more open an organisation can be about why and where it’s using these technologies, the less concerned employees will be. It’s got to be based around this idea of empowerment. It’s not there to replace jobs but to make your job more impactful, enjoyable and productive. HR needs to be very positive about some of the things this technology can do to make people more productive, happy and fulfilled.”
In the longer term, there can be little doubt that AI will play a more significant role in how organisations are set up and run in the coming years. “A human being is only capable of taking in so much, so we are going to need help sorting through that, and that’s the biggest area where AI can help organisations or people,” says Mr Tebbutt. “The choice is quite stark: we can either drown in data or find a way to benefit clients and the workforce.”
According to Hays, the latter is possible so long as employers are open about the introduction of AI and offer training to employees where needed. In this way, AI will ultimately create a more engaged and productive workforce.

From MHD magazine: Don’t blink

Christian Titze

If you’re a supply chain leader responsible for technology transformation, you must prepare for the impact of disruptive technology trends on people, business and IT.
Supply chain technology is seen as a source of competitive advantage, even a competitive differentiator, with organisations investing in strategic technologies in support of new business and operating models.
Start by identifying where it’s best to innovate and invest in new processes and technologies to remain competitive in your market. Seek feedback and ideas from stakeholders who can suggest if and where these technologies could be applied to produce better business outcomes.
The top eight
Gartner has identified a list of top eight trends for supply chain technology with broad industry impact. Review the list and identify how these technology trends can help your organisation seize new business opportunities or solve existing business problems. Pilot small projects to determine whether the potential benefit of the technology trend is worth the risk and required investment in new skills, capabilities or services needed to apply the trend to your business.
With all the hype around disruptive technologies it can be tempting to start exploring a trend before validating whether it can address a current business challenge or opportunity. First assess your company’s risk culture together with maturity stage, to determine your readiness to explore and possibly adopt strategic offerings. Risk-tolerant or risk-exploiting firms should explore technologies on this list now, while risk avoiders should wait.

“Conversational systems will drive the next big paradigm shift in how humans interact with the digital world.”

So, in no particular order:
1) Artificial intelligence
Uses for artificial intelligence (AI) in the supply chain are emerging, particularly to identify potential risk exposure. The main goal is to offer people new insights, without being explicitly programmed, based on identified patterns in large datasets from the enterprise, customers, suppliers or even the business ecosystem. These solutions may also predict future risks.
While there’s still hurdles to overcome, early adopters report promising benefits from limited scope pilots across the supply chain. Adopting these technologies improves decision making through augmenting users’ abilities or by automating certain supply chain processes. It also enables users to dedicate more time and talent to strategic network design, capacity planning or other high-impact activities.
2) Advanced analytics
The impact of advanced analytics – which spans predictive and prescriptive – on supply chain is significant. Predictive analytics are a powerful competency that enable companies to be proactive and take advantage of a future opportunity or mitigate or avoid a future adverse event. Prescriptive analytics, on the other hand, can improve decision making in functional areas like supply chain planning, sourcing, logistics and transportation. More importantly, it can be deployed to improve end-to-end supply chain performance because a course of action can be recommended that best manages the trade-offs among conflicting functional goals.
Benefits of advanced analytics include better quality, cost savings, uninterrupted customer service or bigger market share. Adoption can drive supply chain process redesign, with processes that fully relied on human judgement that can now be heavily powered with predictive and prescriptive analytics.
3) Internet of Things
The Internet of Things (IoT) is the network of physical objects that contains embedded technology to communicate and sense or interact with their internal states or the external environment. Adoption is growing in select supply chain domains, but rarely as part of a complete end-to-end supply chain process for now. One exception is the air and defence industry, where planes have thousands of sensors and data is leveraged in the extended supply chain.
Potential uses are in sourcing, manufacturing, logistics, demand management and services. Some manufacturers for example, are assessing the business value of expanding beyond their current use of operational technology. Logistics groups already use sensors to track assets or containers, and are now examining the additional benefits of IoT opening them to an internet-based world.
4) Intelligent things
Gartner describes intelligent things as having the ability to operate unsupervised for a defined period to complete a task. Intelligent things — such as autonomous vehicles, drones and robotics — will make their initial impact across a wide spectrum of asset-centric, product-centric and service-centric industries, particularly for their ability to do physical work with greater reliability, lower costs, increased safety and higher productivity.
Companies will also be able to shift goods faster, which may then pose a challenge for restocking and supplying demand. The ability for organisations to assist, replace or redeploy their human workers in more value-adding activities creates potentially high — and occasionally transformational — business benefits.
5) Conversational systems
Conversational systems will drive the next big paradigm shift in how humans interact with the digital world. They’re most recognisably implemented today in virtual personal assistants (such as Siri, Google Assistant and Amazon Alexa), in chatbots and virtual customer assistants. These systems can handle discovery questions and offer solutions without any human involvement.
Conversational systems can go as far as enabling transactions, handling payments, ensuring delivery and providing customer service. In warehouse operations, for example, industrialised ‘transactional voice’ technologies support the structured activities of frontline workers using speech recognition and/or speech synthesis technology to drive transactional activities, such as order, carton or item picking.
6) Robotic process automation
Robotic process automation tools offer potential ways to automate all or some stages of manual rule-based processes that were previously not automated. If applied to the right supply chain processes, they can reduce costs, speed up various manual tasks, eliminate keying error and link applications.
The types of processes organisations have applied robotic process automation tools to include elements of business partner onboarding, claims handling and processing, or regulatory compliance reporting. With early adopters in the finance and insurance industry, we now see other industries including supply chain taking advantage. The tools have proven to be very effective in simple uses, mainly where a third party in the supply chain will not provide an API or other means for automated data integration.
7) Immersive technologies
Immersive technologies, such as virtual reality (VR) and augmented reality (AR), are part of a new wave of computing devices that transform the way individuals interact with one another and with software systems. Supply chain businesses can use this technology to enhance their customer and employee digital experiences.
Uses from a variety of industries exist, such as repair and maintenance in manufacturing, logistics and warehousing — assisting with visual recognition of faulty equipment and providing visual overlays of repair instructions. It’s also being used for new product introduction and collaboration in heavy industry, manufacturing or field services, particularly for equipment design planning and review; machine and vehicle route planning; long distance person-to-machine collaboration; or helping remote technicians in real-time when encountering unknown problems.
8) Blockchain

“Supply chain management is a ripe territory for blockchain because of the distributed, multi-enterprise nature of complex global value chains.”

Blockchain technology, better known as distributed ledger, is a shared, immutable ledger for recording the history of transactions. Supply chain management is a ripe territory for blockchain because of the distributed, multi-enterprise nature of complex global value chains that routinely conduct business among multiple parties. Certain highly decentralised functions are prime candidates, such as smart contracts or traceability and authentication.
Blockchain offers promising opportunities to address issues such as efficiency improvements in transactions and interactions. Some early pilot projects include Maersk Line, which is sharing shipping data on a blockchain to enable multiple parties to settle upon insurance terms in less time. Walmart is also using blockchain to track packages of mangoes from farm to store shelves in the US, enabling visibility into the multiple stakeholders in the supply chain and supporting food traceability.
Blockchain is far off being mature, however, with only experimental uses so far, so be careful with this much hyped technology.
Christian Titze is a research vice president at Gartner. He focuses on supply chain management (SCM), enterprise resource planning (ERP) and wider application of technology in supply chain. For more information, visit www.gartner.com/supplychain.
 
 
 

Rockwell Automation invests in AI for industrial automation

Rockwell Automation has announced that it has invested in The Hive, a Silicon Valley–based innovation fund and co-creation studio, in order to gain access to an ecosystem of innovators and technology startups with a focus on applications of artificial intelligence (AI) to industrial automation.
Rockwell Automation goals include co-creating to solve customer problems, accelerating innovation and identifying new emerging technologies that can help its manufacturing customers improve business performance by bridging the gaps between plant-floor and higher-level information systems.
“Smart manufacturing requires the use of new and disruptive technologies such as AI to create the future industrial plants and supply networks that are flexible, efficient, responsive and secure,” said Elik Fooks, Senior Vice President – Corporate Development, Rockwell Automation. “AI can help manufacturers unlock data, contextualise it and take action.
“We continue to create partnerships with leading innovators, such as this one with The Hive, to further advance The Connected Enterprise, our vision for realising unprecedented industrial productivity from the integration of plant and enterprise operations.”
“Rockwell Automation’s investment in The Hive will provide it with earlier visibility to AI technology from companies fostered by The Hive’s technology team,” said T.M. Ravi, Managing Director and Co-founder of The Hive. “These include AI-powered applications for the cognitive enterprise, edge intelligence, security, and smart machines.”

Airfreight industry to soar with IoT and AI

Global information technology firm Unisys predicts that the future growth of the airfreight industry and its ability to capitalise of the e-commerce market will be heavily impacted by the rise of the Internet of Things (IoT) and voice-enabled artificial intelligence (AI) smart devices and systems, warehouse drones and strategic alliances between airlines and distributors.
“As the air cargo industry undergoes growth and transformation, driven by rapidly increasing capacity supply on passenger flights, and the shift to business-to-consumer small parcel shipments as a result of e-commerce, cargo operators will be forced to embrace such innovation to be more efficient, nimble and proactive in an increasingly competitive and price conscious market,” the company said in a statement.
Venkatesh Pazhyanur, Senior Industry Director of Freight Solutions at Unisys, noted that the freight industry as a whole must make an effort to keep up with evolving technologies.
“The cargo industry needs to embrace disruptive technologies from the consumer world, including Internet of Things, digital assistants and drones, to increase efficiency and meet customer expectation for greater transparency throughout the supply chain,” said Pazhyanur.
The company added that the Asia-Pacific air cargo industry is experiencing growth and transformation driven by rapidly increasing capacity supply on passenger flights, and the shift to business-to-consumer small parcel shipments as a result of e-commerce. This growing passenger demand will increase the number of passenger flights and add to cargo capacity supply, it added.
According to the International Air Transport Association (IATA), the number of people travelling by air globally will almost double between 2016 and 2035, with the greatest growth in Asia Pacific. At the same time, the rising popularity of e-commerce is changing the nature of cargo shipments, incrementally increasing the number of small parcels – predicted by management consultancy McKinsey & Company to grow five per cent annually in mature markets and 17 per cent annually in China.
“At Unisys we predict these market pressures will bring innovation in three areas in the cargo supply chain: smart warehouses will become even smarter, drones will finally take off in the cargo supply chain – but inside the warehouse, and new alliances between airlines and global distributors will enable longer term capacity management,” added Pazhyanur. “Much of the underlying technologies are already being used in other sectors – including the consumer world. But now, more than ever, cargo operators will be forced to embrace such innovation to be more efficient, nimble and proactive in an increasingly competitive and price conscious market.”

DB Schenker CIO AU/NZ on the cloud, disruption and technology

Charlie Macdonald, Chief Information Officer, DB Schenker AU/NZ, recently shared insight on the impact of disruptive technologies on the transport and logistics sector with the university of Sydney’s Institute of Transport and Logistics Studies.
Macdonald has over 25 years’ experience working around the globe in the transport and logistics industry, and a passion for learning more about the innovative information technologies shaping the modern world.
He spoke at a recent seminar held by the Institute, one of a series focused on leadership and policy issues in transport and logistics.
Macdonald’s presentation focused on the impact of disrupting technologies on the transport and logistics sector, in particular how the adoption of the cloud and mobile technologies has changed many industries and transformed supply chains globally.
He noted that he foresees the next wave of disruption coming from the combination of the cloud and mobility technologies with the Internet of Things, Big Data analytics and machine learning.

©2019 All Rights Reserved. MHD Magazine is a registered trademark of Prime Creative Media.