by Fronetics | Oct 15, 2019 | Blog, Content Marketing, Manufacturing & Distribution, Marketing, Supply Chain
The analog supply chain model is outmoded and inefficient. Here’s how digital transformation is reinventing manufacturing.
Highlights:
- Manufacturers are increasingly adopting artificial intelligence and machine learning technologies.
- The traditional analog supply chain model is unable to compete with digital disruptors in a volatile market.
- Digital transformation empowers manufacturers to create sought-after personalized experiences for buyers.
Digital transformation isn’t just the latest buzzword in supply chain circles. It’s an ongoing trend that’s revolutionizing manufacturing and supply chain efficiency. According to a recent report from Accenture, 78% of CFOs are spearheading initiatives to improve efficiency through adoption of digital technology.
Digital transformation empowers manufacturers to meet the evolving demands of a customer base with rising expectations for customer service. The digital technologies that are emerging today offer analytics that are vital for forecasting and understanding how to shift the balance of supply and demand.
3 ways that the analog supply chain model is outdated
Supply chain management expert Frank Meerkamp writes, “The traditional supply chain is a tapestry built on an outdated analog network – yet it exists in a digital world.” The difficult truth is that in today’s climate of rapidly shifting market demands and an increasingly interconnected world, manufacturers must embrace digital transformation or be left behind.
Before we look at how digital transformation can benefit manufacturers, let’s take a moment to examine the challenges presented by an outdated analog supply chain.
1) Market volatility
Today’s markets move at a breakneck pace. Thanks to a constantly shifting geopolitical landscape, changing regulations and sanctions, and the unpredictability of cost and supply, manufacturers face market volatility, uncertainty, and a high level of risk. The analog supply chain model leaves companies without the agility to respond and pivot quickly and to operate efficiently on a global or regional scale.
2) Competition from digital disruptors
Perhaps the most powerful example of the way in which digital disruptors are challenging legacy leaders is the Amazon effect. Amazon has effectively situated itself as an innovator and easily has outpaced rivals in multiple sectors. Companies that continue to embrace an analog supply chain model simply cannot compete with those that have fully embraced digital transformation.
3) Rising customer expectations
While it can be tempting for B2B companies to bury their heads in the sand, believing that digital marketing is purely a B2C necessity, the reality is that supply chain companies must embrace digital marketing as part of their digital transformation. Buyers expect hyper-personalized experiences, as well as customized products, and the kind of execution that’s impossible for manufactures to deliver within the analog supply chain framework.
4 ways digital transformation addresses today’s challenges for manufacturers
As the complexity of the supply chain increases, embracing digital transformation is the clearest path to success for manufacturers. While companies that cling to an outdated analogue model struggle with eroding margins and an inability to compete, those that establish “a data-driven supply chain,” writes Meerkamp, “can gain advantages in increased forecasting accuracy, identifying and resolving issues in real time, creating new segmentations, and delivering on consumer requirements with speed, specificity, and scale.”
In short, digital transformation uses data to drive visibility and agility for manufacturers, allowing them to operate efficiently and profitably.
1) Establishing visibility and centralized control
The AI and machine-learning technologies available today enable manufacturers to meet the challenges presented by an increasingly complex supply chain. Massive sets of data can be captured and processed, providing invaluable real-time visibility. Not only that, but manufacturers can leverage this visibility to centralize data and decision-making.
2) Creating new performance engines
Thanks to the ability of AI technologies to process enormous quantities of data, digital transformation enables “powerful resolution engines, based on real-time root-cause analyses, to automate the execution of supply chain functions, and optimize transactions to meet strategic objectives,” says Meerkamp. These technologies facilitate the forecasting and immediate decision-making necessary for manufacturers to operate efficiently.
3) Facilitating agility
Today’s marketplace moves faster than ever, and market forces are constantly shifting. Agility has never been more important for companies to compete. Intelligent technologies allow supply chain companies to establish a management model that is collaborative, data-driven, and platform-based. Digital transformation enables the sharing of qualitative information as well as real-time data and implications. This in turns enables agile management, ready to meet the shifting demands of the marketplace.
4) Developing personalization and flexibility
One of the biggest challenges manufacturers face today is the increasing buyer expectations of personalized experiences. AI technology enables the creation of segmentation strategies, addressing buyers’ personalized needs based on various factors, including channel, location, and service level. Real-time visibility into market data also leads to greater insight into buyers’ needs and how to meet them.
Organizations that embrace digital transformation are empowered to create personalized experiences for their customers and operate with the agility, visibility, and centralization necessary to compete in today’s marketplace.
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by Fronetics | Jul 17, 2019 | Blog, Content Marketing, Current Events, Logistics, Marketing, Supply Chain
Here are four ways the Amazon effect is shaking up supply chain trends – and why it’s a net positive for the industry.
Highlights:
- More companies will start to tap into the gig economy in the last mile, and Uber-style delivery companies will emerge.
- To meet growing customer demand, same-day delivery will become increasingly standard.
- Supply chain leaders will be increasingly evaluated according to customer experience.
Here’s the thing about adversity: it has a tendency to test our strength, and, more often than not, it brings out the best in us. There’s no doubt that the meteoric ascendency of Amazon has created plenty of adversity for the retail, transportation, and supply chain industries. But as the corporation continues to shake up supply chain trends, it’s actually giving the industry an opportunity to sharpen and refine its practices.
Amazon’s dominance has already influenced supply chain trends in big ways. Industry-wide, companies have been compelled to reflect how they do business. In many cases, it’s been a painful process: businesses have had to reinvent, in everything from what and how processes are implemented to the choice of new technologies to purchase. But despite the difficulty, the reinvention process has the potential to pay big dividends in the long term.
Experts are predicting that there are four major ways in which Amazon will continue disrupting supply chain trends going forward.
4 ways Amazon will keep disrupting supply chain trends
1) Uber-style delivery companies
If you think e-commerce sales are high, you haven’t seen anything yet. Recent data from Statista predicts that e-commerce sales will grow as much as 25% by 2022, meaning that retail delivery will undergo analogous growth. As postal service prices rise, FedEx and UPS will likely need to make more deliveries themselves. Meanwhile, Amazon’s 3PL business is booming, putting pressure on the competition.
While these retail delivery services have not yet tapped into the gig economy, largely thanks to opposition from labor unions, it’s only a matter of time according to Convey CEO Rob Taylor. Taylor predicts that a deal will be “brokered between unions and 1099 labor, following in the footsteps of Uber and the taxi and public transportation industries’ unionization efforts.”
2) Same-day delivery
Same-day delivery, once a novelty, is increasingly a subject of consumer demand. PwC’s Global Consumer Insights Survey 2019 found that 40% of online shoppers are willing to pay extra for same-day delivery. To meet the demand retailers are investing in on-demand warehousing and other solutions for increasing localized inventory.
In addition, there’s the rise of drone delivery. Back in 2017, McKinsey estimated that the value of drone activity would reach $1 billion. More recent estimates, including one from ResearchandMarkets, set the value at $11.2 billion by 2022. It’s not long before same-day delivery will be necessary for businesses to compete.
3) Customer satisfaction metrics
As supply chain trends go, the type of metrics used to evaluate personnel may not seem particularly revolutionary. In fact, this type of shift is an indicator of sweeping cultural change. Writing for Fortune, Elementum CEO Nader Mikhail predicts that “tomorrow’s CEOs will come from an unlikely place: the supply chain.”
Customer expectations have been redefined, thanks to the Amazon effect, and businesses need leaders who are skilled at transforming overarching goals into many smaller variables. Where better to find such skills than among the ranks of supply chain leaders?
As a result, in addition to more traditional supply chain key performance indicators (KPIs), Taylor predicts that “net promoter score (NPS) and customer satisfaction (CSAT), which are leading indicators of customer happiness and loyalty, will play a greater role in the supply chain scorecard.” Essentially, supply chain and marketing goals will increasingly intersect.
4) Artificial Intelligence
Artificial Intelligence (AI) is among the most widely discussed supply chain trends in recent years. AI is helping supply chain leaders collate and analyze operational data, and “automating the ability to predict customer demand, forecast product availability, optimize routes for delivery, and better target and personalize communication with customers,” according to Taylor.
Amazon has invested heavily in AI technologies including order optimization, blockchain, warehouse robotics, and the Internet of Things. To keep up, Taylor predicts that “a new generation of supply chain leaders will likely require skills in AI that empower them to translate this highly technical information into business decisions and profitability.”
Navigating the Amazon effect on supply chain trends
When it comes to managing Amazon’s disruptive effects on supply chain trends, the industry will do best to look on them as opportunities. Amazon’s success is, according to Taylor, “pushing brands to modernize and align their teams around the central goal of improving customer experience.” The bottom line is that thanks to Amazon, supply chain companies need to be primarily focused on the customer in order to compete.
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by Fronetics | Nov 8, 2018 | Blog, Content Marketing, Current Events, Logistics, Marketing, Strategy, Supply Chain
Artificial intelligence (AI) is changing the way the global supply chain operates and may make most supply chain management companies obsolete in 5-10 years. What can your company expect and what are the best strategies for preparing?
AI has a significant presence in supply chain management. Leading companies already use AI to run predictive analytics and to automate repetitive, labor-intensive tasks like purchasing, invoicing, and customer service. But executives are still needed to make decisions after reviewing data.
[bctt tweet=”Authors from a recent study predict that in 5-10 years the supply chain will be run entirely by digital technologies that could eliminate the need for human oversight.” username=”Fronetics”]
According to a study from the Harvard Business Review, that’s about to change. In 5-10 years, the authors predict, the supply chain will be run entirely by digital technologies that could eliminate the need for human oversight. Blockchains can coordinate between the parties involved in flexible supply networks, improving transparency and crisis-response times. Robotics already automate warehouses and fulfillment centers, increasing efficiency and minimizing the risks of employee injury. Moreover, digital technologies are increasingly able to execute purchasing and inventory management tasks.
Digital control towers
The new nerve-center for leading organizations’ operations is the “digital control tower,” typically a room with walls of high definition screens showing real-time graphics and information on every step in the supply chain. Data analysts staff these rooms 24/7, monitoring the flow from order to delivery.
These control towers provide end-to-end visibility into global supply chains. Process bottlenecks and inventory shortfalls can be predicted and managed before problems develop. Digital control centers allow more predictive management styles based on up-to-date and accurate information, which results in increased customer focus and process efficiency. It is an operational model that is gaining popularity across business sectors.
What does this mean for supply chain management?
Technology will continue to replace human labor in supply chain management. As data analytics and self-learning technology develop, we can expect to see more kinds of jobs performed by AI. Planning for this trend towards automation is essential for all supply-chain companies.
The role of supply chain executives continues to change. Instead of managing people performing repetitive and transactional tasks, executives are working with a smaller number of highly specialized data experts to design information and material flows. The skill set associated with supply chain management will shift to focus on data analysis and algorithms, which will require new hiring or employee re-training. Finding skilled analysts to fill those roles will be crucial to organizations seeking to adapt to new supply chain conditions
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by Elizabeth Hines | Jul 24, 2018 | Blog, Current Events, Data/Analytics, Internet of Things, Logistics, Manufacturing & Distribution, Supply Chain
Automation in manufacturing can help create more, better paying jobs. But two leading economists have examined real-world data and concluded that the robots may be winning after all. Is it true?
Last year I wrote about artificial intelligence (AI) and the potential loss of American jobs. At the time, I thought; “Yes, people will lose jobs — that is inevitable. Automation, however, will create many more.”
Automation would create leaner, more efficient operations. Efficiency facilitates new market opportunities and business growth, which in turn would allow for expansion and job creation.
It felt like a good argument! And I wasn’t alone. If one looks at media coverage from last year, one can find plenty of references to “beating the robots.”
There was a palpable feeling, an energizing hope, that automation would, in fact, ultimately create more, better paying jobs. And these new jobs wouldn’t be the low-skill positions of their pre-automation predecessors, but rather higher-paying opportunities operating new technology and supervising automated processes.
In a paper last year, two of the most respected researchers on the subject said it was likely that increased automation would create new, better jobs, so employment and wages would eventually return to their previous levels.
It all seemed positive.
This year’s news
But wait. The same researchers — Daron Acemoglu of M.I.T. and Pascual Restrepo of Boston University — published an updated study that has gained a tremendous amount of attention. It was covered in-depth by the New York Times, with the title: Evidence That Robots are Winning the Race for American Jobs.
Sadly, their study appeared to be the first “to quantify large, direct, negative effects of robots.”
In referencing the difference in prognosis from last year to this year, the NYT article noted that the older paper was “a conceptual exercise” and the new study “uses real-world data — and suggests a more pessimistic future.”
I thought, I’m going to have to write a new article. It was tentatively titled, “I Take It Back: The Data Says the Robots May Be Winning.”
But as I sat down to write, something just didn’t add up. How did all this jive with the latest employment news? Only days ago, unemployment rates hit 3.9%, a rare low, mimicking rates we haven’t seen since 2000.
Taking in the whole picture
As I looked further into the study, I found that it covered 1990-2007, a lengthy but rather unique time in our economic history. The years from 1990 to 2007 saw a dotcom boom and burst. (Just for reference, unemployment rates rose sharply in 2009 and 2010, but have been on a steady decline since then.)
The robot vs. man study said that robots were to blame for up to 670,000 lost manufacturing jobs between 1990 and 2007. I’m not arguing with the study.
But they then go on to conclude the following: The numbers will rise because industrial robots are expected to quadruple. And from where I sit in 2018, I simply don’t see the facts to support that assumption.
Let’s look at manufacturing specifically. Are machines and automation blowing up the manufacturing sector? Well, yes and no.
Certainly manufacturing jobs have had a sharp decline over the last 20 years; that’s undeniable.
But since 2000, their percentage of the overall job market has held generally stable between 8 and 9%. And current employment statistics for 2018 show increases in the manufacturing sector.
Now, I’m not suggesting manufacturing jobs are “roaring back” by any stretch. But a positive trend line is … well … positive. The prognosis of a “pessimistic future” just doesn’t seem widely supported yet by the facts. Time, as always, will tell.
Of course, economists warn that employment rates aren’t the whole picture. While they may mimic that of 2000, they warn that the economy isn’t the same and that it is concerning that wages have been slow to rise even though unemployment has fallen.
From what I see now, however, I still feel optimistic that AI and automation will create leaner, more efficient operations that will, in turn, create new (even if different) jobs. To me, it still looks like the ones winning from the increasing technological advances in the manufacturing industry are, in fact, we humans.
This post originally appeared on EBN Online.
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by Elizabeth Hines | Jun 20, 2018 | Blog, Current Events, Leadership, Logistics, Strategy, Supply Chain
Artificial intelligence is forcing change on the supply chain in many ways. But robots, autonomous vehicles, and drones are just part of the equation. Does AI pose a threat to supply chain leadership as well?
A recent Harvard Business Review article explores the idea that “in an AI age characterized by intense disruption and rapid, ambiguous change, we need to rethink the essence of effective leadership. Certain qualities — such as deep domain expertise, decisiveness, authority, and short-term task focus — are losing their cachet, while others, such as humility, adaptability, vision, and constant engagement, are likely to play a key role in more-agile types of leadership.”
Can AI change supply chain leadership as we know it?
What is AI and why does it matter?
Artificial intelligence is coming to your business whether you’re ready for it or not (if it hasn’t already). Why does it matter? Because AI — the ability of machines to carry out tasks in a way we consider “smart” — can boost productivity and profitability.
What AI does “extraordinarily well,” according to consulting firm McKinsey & Co., “is relentlessly chew through any amount of data and every combination of variables.”
[bctt tweet=”Today we’re experiencing a second machine age as computers take on some of our mental workload by making data-driven decisions.” username=”Fronetics”]
Some technologists draw parallels to the Industrial Revolution when machines lightened the load for humans by performing tasks that once required brute strength. Today we’re experiencing a second machine age as computers take on some of our mental workload by making data-driven decisions.
The glass-half-empty crowd is worried that machines will replace humans and take our jobs. But the glass-half-full team sees new opportunities to unburden ourselves from repetitive tasks so we can focus on bigger strategic issues that need the nuanced emotional intelligence only we humans possess.
Traditional vs. AI-ready skills
“At some point in our evolution… leadership acumen transitioned from physical to cognitive skills, putting a premium on intelligence and expertise at the expense of force and strength,” writes HBR article authors Tomas Chamorro-Premuzic, Michael Wade, and Jennifer Jordan.
Offloading repetitive cognitive tasks to machines frees up time to develop new leadership skills. According to the authors, tomorrow’s leaders will be more empathetic, more agile, and more connected to people around them. The authors describe four specific qualities that will define leaders of the future:
Humility
Valuable intelligence won’t be delivered from the top down and may not come from the most experienced people on the team. It will come from every direction. Leaders should be open to suggestions and input from people using data at every level inside and outside the organization.
Adaptability
Changing your mind is a good thing in the age of AI. Learning organizations should expect to revise plans and iterate quickly. Managers should be confident enough to propose a change of course based on new data and not feel the need to defend their decision.
Vision
Operations can feel like shifting sands in an AI environment. An organization that continuously adapts to capitalize on new opportunities can leave employees feeling like they don’t know what they’re supposed to be doing from one day (or minute) to the next. Successful leaders will emphasize long-term goals, encourage questions, and provide clear, thoughtful, consistent answers.
Engagement
Successful leaders will come out of their executive suites and connect with customers, partners, and employees. You can’t wait for reports and meetings when fast-paced data-driven decisions are happening all around you. “Agile leaders need to stay engaged… and find ways to keep their teams engaged, particularly when the going gets rough and the path gets challenging,” according to Chamorro-Premuzic, Wade, and Jordan.
So will AI change supply chain leadership?
Learning and applying new skills won’t come easily for many businesses. Some managers might not be comfortable asking employees to demonstrate humility, adaptability, and vision. These are hard skills to measure and haven’t always been rewarded.
Real digital leadership will require a blend of human and machine learning and a new way of understanding how things get done. Any company stands to gain by adopting these new ideas.
Logistics companies, at the nexus of operations for so many industries, can lead the way into the AI age by modeling new skills and applying them to their own businesses.
Machine-learning expert Jeremy Howard sums it up nicely in a McKinsey & Company report: “There is no organization that shouldn’t be thinking about leveraging these approaches, because either you do — in which case you’ll probably surpass the competition — or somebody else will.”
What ways do you think AI will change supply chain leadership?
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