Geofencing article, and permission to publish here, provided by Olivia Andres at Radar.
Geofencing is a buzzy mobile app capability that’s been around for at least a decade; however, developers are only now seeing the full potential of geofencing for building a great user-first experience.
While geofencing received some attention in relation to user privacy, new tools are considering how geofencing can better surprise and delight customers – and in the future, radically change the way companies deliver location-based experiences.
From sending a tailored promotion when a customer enters a retail store to powering order-ahead food delivery, geofencing plays a key role in making mobile apps contextually aware. How does geofencing work, and how can mobile app developers better deploy this technology?
Amazon Web Services article and infographic, and permission to publish here, provided by Josh Wardini.
You may or may not have heard about Amazon Web Services (AWS for short), but there’s a very good chance that you have used a site hosted on their servers.
Netflix, Reddit, and Pinterest all use AWS services, as do other giants of the digital world, like Dropbox and VMWare. What’s more, The Central Intelligence Agency (CIA) too picked AWS over computer giant IBM to build their private cloud.
AWS rules the world of cloud hosting. No wonder, Amazon made $45.37 billion from its Amazon Web Services (AWS) segment in 2020.
Since the term Industry 4.0 was first coined by the German government in 2011 it has steadily gathered pace and interest from companies across all industries. This infographic from 2Flow takes you through how much it has grown and how much it is expected to grow in the years to come.
Industry 4.0 is a far cry from what has come before it and data analytics is at the heart of it. In all supply chains, companies are always looking for ways to make it more efficient and digitization is more often than not the answer – which makes Industry 4.0 the answer.
Imagine what the future will look like in Supply Chain!
We don’t mean the near future, but the very distant future. There are articles which describe what the future of Supply Chain will be like in 2025, or even 2030.
But is that enough of a far-reaching vision to offer much more than an incremental view of what we see today based on existing technology?
Any view of the near future is more likely to describe incremental changes and incremental advancements based on the current knowledge base. But an extremely distant vision of the future is more likely to offer revolutionary ideas as to what future possibilities are.
Here at Supply Chain Game Changer our fundamental mission has been to share experiences and expertise in the areas of Supply Chain, Logistics, Distribution, Procurement, Business, Human Resources and more. We now present our 2019 Top 10 list.
In our 3rd year at Supply Chain Game Changer we have had the tremendous opportunity to share more content created by ourselves and a growing number of Guest contributors.
With new articles provided to us every week our audience is allowing us to share ever more engaging content and their incredible intelligence for the benefit of all. We extend our thanks to all and invite everyone to submit articles for our consideration.
Here at the midpoint of 2019 we would like to share the 2019 Top 10 List of our most viewed articles of 2019!
Artificial Intelligence (AI) article originally published at https://www.tenfold.com . Permission to publish provided by Abigail Rabi.
From The Terminator to Blade Runner, pop culture has always leaned towards a chilling depiction of artificial intelligence (AI) and our future with AI at the helm. Recent headlines about Facebook panicking because their AI bots developed a language of their own have us hitting the alarm button once again. Should we really feel unsettled with an AI future?
News flash: that future is here. If you ask Siri, the helpful assistant who magically lives inside your phone, to read text messages and emails to you, find the nearest pizza place or call your mother for you, then you’ve made AI a part of your everyday life. Even current weather forecasting systems, spam filtering programs, and Google’s search engine – among so many other practical applications – are AI-powered. Now, artificial intelligence doesn’t seem that alarming, right?
Predictions article originally published by, and permission to publish here provided by, Kuebix at https://www.kuebix.com
In the book, The Living Supply Chain, the authors argue that, “Speeding up the supply chain is at the root of everything that is good: improved revenue, reduced working capital, higher profitability, and less obsolete inventory. Conversely, slowing down the supply chain is at the root of everything that is bad: working capital write-offs, reduced profitability, and slowing revenues.”
To “speed” up the supply chain is to invest in change and change will come with the digital transformation of the supply chain, which is the major focus for executives in the future.
Much change in the supply chain industry will be due to innovative technologies for digital transformations, along with the recent tax reforms, and the still-current driver shortage/capacity crunch. Digital transformation of the supply chain will change everything – for the better.
These are the innovative technology predictions companies must use to undergo this transformation within their supply chains:
Cloud-based technology deployments lower cost of ownership due to not having a large capital expenditure on hardware and upgrades. Cloud-based solutions are ideal for any size business because they can be scaled up as your business grows and are easier to set-up and manage.
Advanced Analytics will support real-time decision making based on data captured across the supply chain. With analytics, businesses can more effectively predict and fill demand. You can also manage relationships with carriers, suppliers and customers while improving processes. Using advanced analytics in a transportation management network to look at historical traffic patterns, you can plan a truck’s route that takes into account time delays for more accurate arrival times.
Tracking and Tracing of raw materials through manufacturing to the end customer must take on Amazon-like capabilities, meaning customers will know where their orders are at any one time, just like when you order from Amazon. With track & trace, you will get deep visibility to SKU-level information from first-mile to last-mile, including the tracking of costs to better monitor transport spend. Communications with customers will be proactive instead of reactive, alerting customers if their order will be late or when it will arrive.
Supply Chain Visibility will make data collected from end-to-end across the supply chain available to all stakeholders, giving them greater control and visibility into what is happening across the enterprise. You can uncover roadblocks within your supply chain that could lead to delays in shipping.
Blockchain will provide interconnectivity between ledgers of supply chain trading partners, enhancing traceability of transaction history. Automating the flow of information among trading partners provides transparency and boosts efficiencies. Blockchain works with cryptocurrency to determine payment amounts, allowing drivers to be paid as they complete parts of their journey. This completely removes the transport broker from the equation, giving drivers access to quicker settlement. However, blockchain is still a technology that needs further development before it can be proved useful to some businesses.
Artificial Intelligence initiatives require specialists who are hard to find, potentially stalling any projects. AI utilizes algorithms to detect patterns in vast volumes of data and interpret their meaning such as predicting whether a carrier will be on-time based on weather conditions and past performance.
Predictive Analytics, often combined with Artificial Intelligence, helps shippers understand, automate and optimize their supply chain processes to gain better efficiencies. Predictive analytics provides shippers with actionable intelligence and predictions to guide the decision-making process, helping you to reduce costs and optimize operations. Scorecards on carrier performance can alert shippers on which carriers can better meet their service obligations.
The Internet of Things (IoT)– More devices, from pallets to trucks will have sensors embedded to transmit status and performance data. This real-time information will be used for monitoring everything from equipment health to asset locations to order tracking and more. Advanced analytical systems use the data to uncover trends that lead to predictions and performance improvements and cost reductions.
Originally published on Supply Chain Game Changer on March 14, 2018.
The Industry 4.0 Ecosystem involves leveraging the latest technologies, digital capabilities, the unprecedented dissemination of IoT (the Internet of Things) and the incredible ability to tap into data anywhere and everywhere in the Supply Chain.
The level of digital connectivity across the entire End-to-End Supply Chain, from customers through to manufacturers, distributors, logistics companies, and suppliers of all kinds enables this forward leap to an Industry 4.0 world.
The next great leap article provided by, and permission to publish here provided by, http://argentus.com.
It’s no secret that transparency is the name of the game in today’s world-class Supply Chains. More and more consumers are demanding accountability and openness about where their products come from. More world-beating companies are recognizing that the goodwill you get from transparency in your Supply Chain can be a major source of competitive advantage – while also helping to make the world a more humane place.
Today, we wanted to write about an emerging Supply Chain technology – as we love to do – that’s poised to offer unparalleled transparency to companies and consumers. It’s a technology that the Supply Chain trade press is buzzing about, and also one that lots of companies are taking a closer look at as the next great leap : Blockchain
The Internet of Things (IoT) enables the end to end connectivity of all aspects of our lives in an unprecedented manner. What happens when IoT and Manufacturing come together?
In the arena of Manufacturing there has always been a reliance on processes, data, sensors, controls, analysis and metrics to allow for monitoring, management and optimization of those Manufacturing processes. And the ability to leverage historic approaches has varied from company to company and industry to industry.
But now with the advent of IoT, Big Data, Artificial Intelligence (AI) and Industry 4.0 the ability to optimize Manufacturing processes through this incredible digital connectivity is about to take a quantum leap forward.
It’s been 6 months since we launched supplychaingamechanger.com. Our goal has always been to share experiences and expertise. The site has evolved. The number of categories has continued to grow. And the response has been absolutely tremendous. We can now present our 2017 Top 10 Blog posts.
In that time Supply Chain Game Changer was also selected by Feedspot as one of the Top 75 Supply Chain Blogs on the Internet.
So we thought that this would be a good point at which to share a list of the 2017 Top 10 Blog posts that we have published so far. We would be remiss if we didn’t also thank the phenomenal Guest Bloggers who have given us such great content.
IoT article written for Supply Chain Game Changer and permission to publish here provided by Rachel Stinson.
The Internet of Things — IoT, for short — is made up of devices that connect to the internet and share data with each other. IoT devices include computers, laptops, smartphones, and objects that have been equipped with chips to gather and communicate data over a network.
IoT devices have become a part of the mainstream electronics culture that people have adopted into. It is estimated that there will be up to 21 billion IoT devices by 2020, impacting how we interact with basic everyday objects.
There are several things to note about the IoT as it becomes more mainstream, as a key element of the Digital Supply Chain.
Transportation management article originally published by, and permission to publish here provided by, Adam Robinson on https://cerasis.com.
Analysts predict that by 2020, 75% of new cars will feature IoT connectivity. The percentage increase describes consumer applications, but the idea of connected vehicles should garner interest from other sectors such as shipping, logistics, and transportation.
Leaders in these industries would be wise to plan for a future where AI and the IoT transform transportation management.
Here are five possible applications to consider.
1. Streamline Decision-Making
David Poulsen, CutCableToday’s IT expert, says connected, or autonomous, vehicles, are attractive because of the technologies that undergird them. “The Internet of Things (IoT) is one part of the equation,” Poulsen explains. “The other part is artificial intelligence (AI). It acts as the driver, helping the connected ‘thing,’ which could be a vehicle or inventory system, make smarter decisions.”
As applied to transportation management, that automated decision-making ability is critical. Connected vehicles, shipments, and systems help with tracking and historical reporting. But real-time insights and responses occur through artificial intelligence.
At TOPBOTS, an online, educational resource for all things AI, writer Mariya Yao calls the process “turning supply chain logistics into automated trading.” She gives an example: Amazon’s ability to deliver packages to a person’s door in under two hours. AI and the IoT streamline the entire process, from order to delivery, to save time and money and meet customer demand.
2. Optimize Operations
DHL, the global logistics provider, posits another application of AI and the IoT optimization. Its 2016 Logistics Trend Radar report suggests that big data and automated supply chains could lead to previously unimaginable levels of optimization.
But that optimization isn’t isolated to a single aspect of transportation management. Rather, DHL predicts a world in which manufacturing, logistics, warehousing, and deliveries become increasingly efficient, productive, and profitable. The provider believes the trend will come to life in the next ten years.
DHL could be correct. General Electric, for example, has started integrating AI into its locomotives to enhance safety and speed. Daniel Malak at Motionloft offers another use for AI and the IoT: optimizing traffic. He says transportation management companies benefit from Motionloft by using it to study traffic patterns and “optimize business practices such as sending out police forces only during peak rush hours, having maintenance crews repair roads that get the most travel, and deploying sanitation crews to clean public areas only when needed.”
3. Manage Warehouses
Tim Young of Vero Solutions shares another way AI and the IoT Could transform transportation management in his infographic looking at warehouses. He says AI could impact six areas of operations.
“Productivity levels, inventory processes, and employee wages are just three fields,” explains Young, “that are expected to be revolutionized and improved by AI technology in warehouses in just a matter of years.”
The other three areas relate to effective communication, warehouse operations, and robot workers. Young’s example of robot workers involves a company previously mentioned: Amazon. The brand has been testing out robots in its warehouses to increase productivity and, presumably, quality control.
4. Decrease Downtime and Repairs
Transportation companies also use AI and the IoT to mitigate costly repairs and downtime. Internal diagnostics, for example, can alert users to maintenance issues, which keeps passengers safe — no blow-outs while traveling down the road at seventy miles per hour, for example — and increases the lifetime value of the vehicle.
Daniel Dombach at Zebra further illuminates the concept, adding that the Internet of Things delivers remote monitoring capabilities. Companies that employ them can proactively respond to maintenance issues and also assess inventory records and parts availability.
Dombach also proves a valid point, saying that AI and the IoT could “decrease insurance-related costs.” Business Insider’s The Insurance and the IoT Report finds that insurers use vehicle usage data to inform pricing on policies and premiums. The report covers consumer insurance policies specifically, but its findings easily translate to commercial interests.
5. Go Driverless
AI and the IoT could impact more than back-end systems and processes. The two could produce driverless vehicles, a thing seemingly the territory of tech giant Google. But Google isn’t alone in the endeavor. Tesla, Ford, Daimler, and even Uber all claim driverless initiatives.
George Zarkadakis at Willis Towers Watson calls out the Uber story in his article The Impact of Artificial Intelligence in Transportation, citing the incident as “a wake-up call.” He continues, “Artificial intelligence (AI) and machine learning (ML) could potentially lead to the full automation of truck fleets.”
Of course, Zarkadakis’s remark raises the question of what happens to the truck drivers. Goldman Sachs Economics Research provides an answer. The company tells CNBC that driverless trucks could produce job losses of 25,000 per month in a couple of decades.
Jack Stewart at WIRED offers a more positive perspective; he says traditional driver jobs will change once autonomous vehicles become a reality, but these jobs won’t necessarily disappear. He also adds other positive effects of this change, such as cutting costs and improving road safety.
The Internet of Things (IoT) and Artificial Intelligence (AI) are coming to transportation management. The technologies provide too many benefits for them to be ignored.
Businesses that wish to succeed in the future should consider these five examples of how the IoT and AI can impact transportation management and then decide where and when to apply these features to their existing operations.
Originally published on Supply Chain Game Changer on November 16, 2017.
I remember manually plugging 16kB (that’s right “kilobyte”) memory chips into an original IBM Personal Computer. The crunching sound they made was unforgettable. I was ecstatic that I had increased the total memory to 128kB, and then to 256kB … WOW! At that time that was a lot of memory. Who could ever need to store that much data? That was “Big Data“.
Let’s fast forward to today. The memory on your handheld smartphone and other devices is measured in Gigabytes (GB). Over 2.5 quintillion bytes of information are generated every day. Every move, every transaction, every image, every event and every location in everyone’s lives are recorded.