FedEx CIO Attests to Data-Driven Strategies in Pandemic Times

IoT World Today

As organizations continue to adapt to the roller-coaster ride of 2020, some leaders’ pre-pandemic IT strategies brought business resilience even as COVID-19 struck. Data-Driven Strategies Become Core Value Proposition. Blockchain Still Core to FedEx’s Data-Driven Strategies.

How Do Supply Chain & Transportation Leaders Get Started Using Their Big Data Strategy?


The amount of information and improvement possible through big data can be overwhelming. Yet the majority of companies have not defined a big data strategy, and others are barely starting to notice. . �. As a result, the simplest way of defining a big data strategy must begin with understanding how it will evolve and affect the company. . How to Get Started with Your Big Data Strategy. . This is where the explanation of big data begins. .

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5 data prerequisites for carrier predictive freight rating in logistics

FreightWaves SONAR

And that’s why it’s important for carriers to apply data and enable predictive freight rating through these five requirements. Carriers simply need to know where to send trucks and the proper freight rating or pricing strategies to use.

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Supply Chain Big Data: Why Supply Chain Leaders Are Using Big Data Analytics


Thanks to data gathering programs, supply chain software , and data entry applications, this represents a mountain of data, which has the potential to provide ground-breaking insight into how to improve business-model efficiency. As a result, business leaders can reap a significant return on investment by thoroughly analyzing this data. What Is Supply Chain Big Data? Supply Chain big data is the ultimate compilation of data gathered in the course of business.

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Data-Driven Transportation Management and Its Role in Driving Stronger Tech Stack ROI

FreightWaves SONAR

Data-driven transportation management , including the checks and reviews that accompany healthy data management practices, are part of the process of getting the most out of the tech stack. Of course, that’s another challenge.

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4 Important Benefits of a Sustainable Reverse Logistics Strategy


However, one of the most important aspects of supply chain strategies is often overlooked: the reverse supply chain (also referred to as reverse logistics ). A reverse logistics strategy provides a path for removing the existing equipment to make way for the next era of equipment in the case of end of life products or new upgrdes. In a sense, reverse logistics could be considered the “greenest” part of any business logistics strategy.

2021 Strategies for Inventory Management and Supply Chain Recovery


In a perfect world, supply chain managers would be able to foresee every possible risk and threat to their supply chain and have a strategy prepared to successfully address any challenges when the moment came. You already know the biggest supply chain disruption of 2020: the COVID-19 pandemic.

How Can Supply Chain Leaders Use Big Data as a Tool to Continuously Improve?


Supply chain leaders are enthralled with the idea of using big data, but they tend to fail to understand how to disseminate big data in their organization properly. True, they may know how to roll out big data in a single warehouse, or they may have heard their competitors used branded systems for implementing this new technology. Ask Traditional Questions, and Let Big Data Provide Answers. Data Leadership Supply Chain

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What’s Big Data in Supply Chain & Logistics? Why Should I Be Looking at This Tech Trend?


Data reflect all the small, seemingly insignificant details of the modern world. From a review of your personal bank account spending habits to larger, more advanced processing capabilities, data evolve and expand with each passing day. It is real, and the volume of data being produced every 48 hours rivals that of all data and information gathered over thousands of years of human history, explains Bernard Marr. Big data in supply chain is not a new concept.

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Editor?s Pick: TMS Best Practices ? Your Strategy For Modern Technology

Talking Logistics

This all leads to added complexity that must be addressed with automation and modern data connectivity, especially from a transportation management system (TMS) standpoint. There are few systems that benefit more from connectivity, real-time information, and normalized data than a TMS. Faster and more accurate data can have a massive financial impact over the course of a year.

German-Asian Export Strategy in 8 Simple Steps for Every Small to Medium Sized Business Owner

Freight Hub

And with these factors as your tailwind we think that the following 8 strategies will take your business to the next level. Of course, the question of costs, taking into account the capital required to cover production, operating costs as well as completion of the goods, is an essential decision criterion for choosing the right export strategy. Check out our guest post on how data is actually the key to an improved supply chain. Let’s face it.

Are your L&D programs reaping the outcomes you need?

UL EHS- Sustainability

But the most successful learning and development teams also understand how to measure the success of each training course and react accordingly. But when organizations are unsure of the root cause of an operational issue, assigning employee training can offer dramatic insight and measurable data leading to enhanced performance, improved production and even internal cost savings. The best training strategy in the world can’t fix operational issues. Thank you, big data.)

Supply Chain Data Visibility Paramount as Industry Lurches into Next Chapter

IoT World Today

Increasing supply chain data visibility is a priority for logistics organizations looking to improve resilience. Supply chain recovery hinges on incorporating robust data analytics and other data-driven tools into business operations to increase efficiency, reduce costs and proactively manage risk. Supply chains will survive COVID-19, of course, but not without interim pain and structural change. Data Visibility in the Supply Chain.

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What Does the Future Hold for Big Data Applications at My Company in the Next 5 Years?


Big data applications are already impacting supply chain entities around the globe, but some of its most interesting possibilities may have yet to be realized. Since the digital universe will expand to more than 40 trillion gigabytes by 2020, reports Jim Taylor of Inbound Logistics , future possibilities through big data may not even be fathomable. However, the current progression of big data does give rise to some very tangible benefits to your company within the next five years.

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The Role of TMS in a Logistics Partner’s Strategy and Value Proposition

Talking Logistics

Operational excellence, of course. But beyond that, shippers today also expect their logistics partners to provide them with technology solutions, timely and accurate data, and business intelligence and analytics capabilities. It provides us and our customers joint access to case management data and business intelligence tools so we can collaborate to make sure things get across the finish line.”. What do shipper’s look for in a logistics partner?

Look Before You Leap: Avoid Unintended Consequences with Your Logistics Strategy

Logistics Problem Solving

What do you do if your logistics strategy is just not working? While there are ways to reverse course after a faulty strategy is deployed, you must first admit it was faulty. It is much better to look before you leap and test against historical data before you deploy. Testing is not only a good idea, it is crucial to developing a logistics strategy. When Standardized Data is not Standardized Data. Only Complete, Standardized Data Makes the Grade.

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6 Ways Big Data is enhancing the global supply chain

The Logistics Academy

As global supply chains become more complex and customers more demanding, the race is on to develop software applications that can effectively manage and make sense of the zettabytes of data being generated by our digital world. Defined as the massive volume of structured and unstructured data that can’t possibly be processed using traditional software or database strategies, Big Data is affecting every corner of the business world. How can Big Data help?

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The Future of the Digital Supply Chain: IoT, Big Data, Blockchain, Predictive Analytics, and More


We must embrace the possibilities of Big Data, the Internet of things, blockchain technology, predictive analytics, and the growing unrest that these things bring to the industry. The future of the digital supply chain is data rich, but growing data complexity inhibits company’s ability to access business insights, reports the publication, “Digital Supply Chain: It’s All about the Data.” Access to data does not necessarily amount to “good” data.

Look Before You Leap: Avoid Unintended Consequences with Your Logistics Strategy

Logistics Problem Solving

What do you do if your logistics strategy is just not working? While there are ways to reverse course after a faulty strategy is deployed, you must first admit it was faulty. It is much better to look before you leap and test against historical data before you deploy. Testing is not only a good idea, it is crucial to developing a logistics strategy. When Standardized Data is not Standardized Data. Only Complete, Standardized Data Makes the Grade.

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How to Kickstart a Successful Facebook and Instagram Advertising Strategy For Your Local Service Business


By pairing a solid organic social content strategy with a full-funnel social advertising strategy, you will gain much greater value and be able to tie efforts to actual ROI. By pairing a solid organic social content strategy with a full-funnel social advertising strategy, you will gain much greater value and be able to tie efforts to actual ROI. Once you are set up you can jump into your strategy and execution. Customer and prospect lists from CRM data.

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The Data Behind Amazon’s Logistics and Fulfillment Play


Amazon is at the nexus of ecommerce, data, and logistics, with a drive to constantly improve their logistics network. That’s 258 operational facilities in the US and another 486 distributed around the world (see map below, data from MWPVL ). In the US, this sprawling network is defined by a range of different services, from Prime Now hubs near urban centers to fresh food and Whole Food delivery goods, and, of course, fulfillment, sortation and delivery stations.

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Freight Professionals “Want to Change Supply Chain Strategies Post-Covid” Says Survey

Logistics Business Magazine

Shipping and freight professionals want to change their supply chain strategies post-Covid, according to a recent survey. Answered by over 300 Shipping and Freight Professionals across the world, the survey brought out some key indicators that will inform the future course of global supply chains. One of the most important trends unearthed was the readiness to change supply chain strategies (42.2%).

Avoiding Freight Damage & Using Empirical Stretch Wrapping Data to Troubleshoot Causes


Unless, of course, a thicker film applied with more film tension was used. This requires periodic sampling, and a consistent system for tracking and logging the data. . Referring to the data . If recorded, this historical data may have another potential use beyond confirming the maintenance of the standard on the production floor. How heavily might you lean on your containment force data to troubleshoot shipping damage issues? Everyone hates damage claims.

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The water in the well – how much readiness is enough?

Logistics in War

The risks accepted in not beginning are, of course, high and err towards a professional negligence that ultimately costs time, resources and people at the time of a future war. Thirdly, it articulated the need to protect logistics data which is particularly vulnerable to espionage and manipulation. It’s a question that hits at the heart of strategic policy, if not national military strategy. logistics readiness StrategyBy David Beaumont.

Analytics in Distribution and Manufacturing Taking Center Stage


Everyone seems to be clamoring to get on the big data and analytics train. For example, operations managers may use advanced analytics to analyze historical data of prices for raw materials, identify trends in raw material availability and accommodate changes to make the most efficient use of these resources. Within the logistics and manufacturing industry, more data collection points are being created on a daily basis than ever before.

11 Golden Rules for Meaningful Supply Chain KPIs

Logistics Bureau

Golden Rule #1: Meaningful KPIs Require a Meaningful Strategy. I’ve written many posts on this blog about the importance of having a supply chain strategy aligned with the overall business plan, and why it is a mistake to have misaligned strategies.

Why Large Companies Increasingly Opt for 4PL Services

Logistics Bureau

There are, of course, some other important differences between the two types of providers: 4PL is, in general, better suited for medium-to-large businesses , while 3PL is more suited to small-to-medium businesses.

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A&D’s Ambitious Three-Year Timetable for Deploying Blockchain

Supply Chain Brain

It also allows for the tracking of aircraft configuration data throughout the supply chain — data that up to now has resided in walled-off systems that rarely communicate with those of other partners. Blockchain can also support the use of a digital thread , a framework for ensuring the smooth flow of data throughout an item’s lifecycle. Blockchain is, of course, a young technology that has yet to prove itself in a fully functioning global supply chain.

A.I. for Compliance: An ‘Artificial’ Answer to a Very Real Problem

Supply Chain Brain

excels is in the management of data. Information these days comes in three basic forms: open data, in the form of studies, papers and analyses, often available on the internet; public data, usually free but protected by copyright and requiring adherence to some form of legal agreement; and private data, available only through subscription or permissioned access. won’t just offer protection from problems that happen to arise in the course of doing business.

The 2016 State of Manufacturing Industry Trends: E-Commerce, Robotics, & Analytics


Of course, none of this would be possible without improved self-service features, as explained by “The Impact of B2B E-Commerce on Manufacturers and Distributors,” and comprehensive, easy-to-integrate platforms. While 41 percent of manufacturers are beginning to embrace analytics, approximately 50 percent do not understand key difference between business intelligence, big data analytics and predictive analytics, reports Johnny Williamson of The Manufacturer.

Supply Chain Management:Importance of Proactive Master Data.

Infosys Supply Chain Management

Cloud & Big Data. « Collaborative Platform for Enterprise of Future | Main | Key Asset Management trends in Oil & Gas Industry » Importance of Proactive Master Data Maintenance in SAP SCM Support. Analysis showed that around 70-80% of issues faced in support could be classified or could be attributed to incorrect Master Data Maintenance & triggered a thought process of "Importance of Proactive Master Data Maintenance". About Us. Contact Us.

4 Big Benefits for the Use & Implementation of Predictive Analytics In Manufacturing


Data Becomes More Available and Accessible. Unfortunately, data quality was not always verifiable, but the IIoT ( Industry 4.0 ) is serving as a recent data capture point. As explained by Vin Vashista , the availability of data has become more readily embraced thanks to the IIoT. Sensors are embedded in machines , and advanced algorithms comb through data sets to uncover trends and issues faster than any historical form of predictive analytics.

COVID-19 Lesson: Make Your Supply Chain More Resilient

Logistics Bureau

The companies most likely to emerge strongly from the Coronavirus crisis are those that had diversified their operations and implemented multi-sourcing strategies. This once-popular strategy flies in the face of the modern trend of striving for lean production processes, but those companies which were carrying buffer inventory are weathering the Coronavirus storm better than most.

Supply Chain Intelligence: The Value of AI and Machine Learning to Predict Freight Rates

FreightWaves SONAR

Of course, no disruption comes close to those that have been experienced to date in 2020. And the past data trends are obsolete and rapidly becoming more so. However, AI can provide a pathway toward more proactive, responsive management strategies.

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How AI Helps Build the Supply Chain that Thinks for Itself

Logistics Bureau

Of course, it can also open new opportunities for tomorrow. This AI tool is based on data and rules. With more data and greater processing power now available, computers that learn by themselves have become more feasible. Using ML, a computer automatically finds patterns in data. It can use them to draw conclusions from new data. This frees up their human counterparts for work that AI cannot do, such as creating a new supply chain strategy.