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The idea of a fully autonomous warehouse - a "dark facility" running on its own - is an inspiring vision for the logistics industry. However, the path to achieving it is filled with immense practical challenges.
SAP enterprise systems provide the robust foundation that successful businesses rely on to manage, track, and process complex order, inventory, and industrial workflows. This centralized structure is highly optimized for strategic data management and core business operations.
Earlier this year, at our Channel Partner Summit, the buzz of excitement was unmistakable. The conversations with our partners, the lifeblood of our ecosystem, consistently circled back to a significant evolution in our industry.
The most critical part of any package’s journey is the final 50 feet. It’s a moment filled with anticipation for the recipient, but also potential anxiety.
AI commands headlines and captures imaginations, promising a future of unparalleled efficiency. Yet for executives leading operations in retail, manufacturing, and transportation, the practical application of AI often feels distant from the hype.
A distribution center (DC) operator and a Wi-Fi solution architect explain why it often feels like such a struggle to get wireless system settings just right in warehouses (no matter how much technical investigation and adjustment occurs.)
As a communications strategist, I live for a great story. I recently had the distinct pleasure of hearing five incredible ones during a special CRN Women of the Channel podcast.
Before a pair of shoes reaches your doorstep, it may pass through up to 30 touchpoints where Zebra products, solutions, or workers using Zebra devices play a critical role in its journey.
As business leaders, we constantly look for ways to streamline operations, empower teams, and deliver better results. If you’ve ever wondered how AI could make your frontline team’s workday smoother, more efficient, and maybe even a little less stressful, the Frontline AI Summit offered some exciting answers. Hosted by Zebra Technologies, this event brought together some of the sharpest minds in the industry to talk about how AI is already transforming operations and what’s next.
Hello, everyone! I’m Kassaundra McKnight-Young, Zebra Technologies’ Chief Nursing Informatics Officer (CNIO), and I’m thrilled to introduce Conversations with a CNIO, a podcast dedicated to exploring the intersection of healthcare and technology.
That depends on how you want to use your system and who you want to be able to operate and maintain it.
According to two home health specialists, AI may not be what home health providers really need right now. It all depends on what type of basic mobile technology capabilities they have – and most providers are lacking the basics. Find out what issues home health providers are having with their current technology and how you may be able to easily fix it (so that you can start looking seriously at AI tools).
Hear how T&L companies, utilities, government agencies, and other service providers are using the tablets currently installed as ELDs to inject more automation and intelligence onboard their fleet vehicles. Our guest, Michael Inglima from Ram Mounts, explains how these mobile devices are working with AI software, cameras, RFID and more to assist workers in and out of the cab as well as those coordinating goods transport and service call response.
You can’t just bolt on AI and expect things to get better. If you don’t take these steps first, AI use will only add to your care team’s workload, detract from patient care, and multiply your IT spend.
Security-minded solution architects from Google Cloud and Qualcomm explain how far you’re going to have to go – and the lengths to which they’re going – to help protect your organization’s data.
Bob Bova, President and CEO of AccuspeechMobile, sits down with Andre Luecht, Global Strategy Lead for Transport, Logistics, and Warehouse at Zebra, to provide his honest take on why you may be struggling with your voice technology.
What do you think about on-device AI? Is it all hype or will it prove helpful to frontline workers? Zebra CTO Tom Bianculli sat down with Art Miller from Qualcomm and Rouzbeh Aminpour from Google Cloud in this new podcast episode to break down the benefits of this new approach to AI so you can decide for yourself.
Responsible AI development, training, testing, and use require ongoing engagement and foundational practices to ensure long-term success and ethical implementation. Here is what you need to do to get started, whether you're an AI model developer, tester, or user.
The food wasted annually – the ~1.3 billion tons of food that ends up in the landfill – contains enough calories to feed approximately three billion people for a year! So, why is even a single person experiencing food insecurity or hunger right now? There is clearly enough food being produced to feed everyone on the planet today and then some. In this blog post, Leo Lowy takes a closer look at the root causes of food waste and loss as well as the technology tools that could be applied right now to stop food waste in its tracks at a global level. Read his recommendations.
If you're planning to use machine vision to assist with quality control or automate other visual inspections, there are some things you need to account for when designing your system. In the latest episode of the Industrial Automation Insider podcast, two engineers from Tri-Phase Automation explain what you should think about when spec'ing out your vision system to avoid headaches later on and make sure you get the results (and return on investment) you want.
Do you know exactly when, where and why losses are happening within your operations? If not, it will be hard to figure out how to prevent them, fix inventory distortion, and eliminate friction within your operations. So, let’s talk about loss detection.
Zebra's Senior Director of AI and Advanced Technologies, Stuart Hubbard, sat down with inspired software engineer Saliha Demir to find out what she has learned – and once misunderstood – about AI. Her early AI experiences are certainly a wake-up call to us all. Listen to this…
They say there’s two sides to every story. Well, now there’s at least two viable machine vision solutions to every problem when you invite both seasoned and early career vision system engineers to the table, and that’s making it easier to see the right path forward. These two engineers (from different generations) explain why.
If you use direct story delivery to get your goods on retailers' shelves, and you're trying to get more SKUs to more stores more frequently, then you'll probably need to enlist the help of more drivers and merchandisers. That's why you may need to rethink how you plan, coordinate, and execute DSD, according to one supply chain expert.
If you used machine vision years ago, you may be hesitant to go there again. But modern AI-based systems are giving many manufacturers and warehouse operators significant competitive advantages. Here’s how.
Privacy isn’t born out of traditional cybersecurity tactics. It must be treated as a separate but equal action, according to Dr. Ann Cavoukian, creator of the international “Privacy by Design” framework. Find out what you should be doing differently to protect your customers and reduce your company's liability when handling customer data..
Between the expanding capabilities of machine vision systems, maturity of deep learning OCR, and modularity of industrial automation systems, you have an opportunity to de-risk your operations and meet SLAs with ease.
These veteran technology industry experts say you probably need barcode, RFID and vision systems to achieve your business objectives. Hear why.
No matter how much technology enables to run your business more efficiently, people are still the ones responsible for your success (and developing the technology that allows you to work in new, better ways so that success becomes possible). So, it's time to give credit where credit is due - and make sure we're thinking about technology in the context of human impact.
It may be tempting to push customers toward staffed checkout lanes instead of self-checkout (SCO) to reduce losses. However, doing so could push your most loyal customers away. So, let’s talk about ways to stop SCO-related shrink.
If you’re wondering, “How is deep learning already at work in the real world (i.e., my world)?” or “How could deep learning help me work in new, more efficient ways?” then you’ve come to the right place. This blog post serves as a primer to deep learning, explaining what it really is, how it works, and how you can make it work for your business for inspections, quality control and more.
Marcin Kowalski from Avicon Vision Systems in Poland pulls the veil back on some very cool ways machine vision technology is being used to track ball movements, confirm the quality of a chicken’s life, and more.
Chris Sullivan, Global Healthcare Lead for Zebra, explains how everything from robots and AI to RFID and machine vision is being used from the point of production to the point of care to improve patient experiences.
