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By attending the webinar, participants will: Learn – in real world examples – what a Blockchain is, how it works, and which business processes are already benefitting from the technology. Paul has degrees in Accounting and Data Processing. The post Blockchain Basics Webinar appeared first on The Logistics of Logistics.
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.
You Have A Good Amount Of Historical Data. If you have worked with the same carriers on similar types of projects for many years, this historical data is an asset for your company. You can use this data to analyze different types of shipments to gain insights such as which carrier provides the best value for given lanes.
Lets break it down with some examples that hit home: Supplier Diversification : Reflecting on the disruptions caused by the pandemic, companies heavily reliant on Chinese suppliers faced significant challenges. For example, U.S.-based Its not about locking in decade-long deals or crossing your fingers that suppliers stay stable.
Speaker: Shaunna Bruton, Danielle Wyllie, and Kailey Holmes
Customer loyalty isn’t just earned - it’s cultivated through meaningful engagement with the help of data. This webinar will take you behind the scenes of how top retailers turn customer data into personalized experiences that drive engagement and retention. 📅 September 18, 2024 at 11:00 am PT, 2:00 pm ET, 7:00 pm BST
Motormax is hosting a webinar with Samsara to learn how the automated use of vehicle telematics and 360° video-based safety solutions can be used to: Enhance driver and vehicle safety via 360° vision. Develop data driven, impactful driver training. Develop data driven, impactful driver training. Bring competitive advantage.
This month, we’re hosting a Data Visualization webinar with bestselling author Cole Nussbaumer Knafflic. Cole wrote the popular book “ Storytelling with Data ” and is also known for her blog. We had a chance to talk to her about some best practices for effective data visualization leading up to the webinar.
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. When Did Big Data in Supply Chain Become a Game-Changer? .
We recently held a webinar with our partners at Oliver Wight to address these questions, covering the most common obstacles companies face when adopting IBP. Additionally, most planning tools fail to incorporate the abstract data that’s required for this stage. How can you account for new products that don’t exist in master data?
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. How can you build this capability in-house and get the answers you need in a timely way? Lack of skilled resources.
6 Benefits of Applying Useable Data in Logistics For Continuous Improvement. In this post we will talk about how you can improve your transportation management program by focusing on using data, extracted from the use of technology, such as a transportation management system, that then people can use to continuously improve.
When you want to drive down your logistics and transportation spend, the very first thing that you need is freight and transportation data. Without hard data, you can’t take action. When enterprises try to act in the absence of data, they are usually guessing and won’t get the results they need.
BlueGrace Releases Comic Book Show Submenu Resources The Logistics Blog® Newsroom Whitepaper Case Study Webinars Indexes Search Search BlueGrace Logistics - March 12, 2024 DC Velocity Staff | DC Velocity March 12, 2024 Move over Marvel, BlueGrace Logistics has entered the comic book market.
Some ecommerce brands send their inventory pretty early on in the process, but aren’t ready to go live and start selling because they’re still in setup mode, or configuring their data, or are prepping a marketing push. For example, I’ve had a client unable to separate SKUs with inner cartons and have to send them in bags.
Today begins our series about electronic data interchange or EDI in transportation. What is Electronic Data Interchange? First we must understand and get on the same page of what is Electronic Data Interchange, or EDI, as it is not only used in the transportation industry. How does Electronic Data Interchange (EDI) Work?
The good news is that advancements in technology are addressing some of the historical challenges companies have faced in gathering, sharing, and analyzing real-time data from many different systems and trading partners. Matt shared additional examples related to inbound planning and inventory management.
In a recent study, MIT found that companies that focus on 5 key initiatives to improve their supply chain data can have a big impact on their bottom line. Obstacles to fully utilizing analytics included inaccurate data , cost, and lack of timely data. Supply chain data initiatives need a top-down mandate.
Air cargo for example, though continuing to make digital strides, is still behind – and is often compared to – passenger travel where digitized capacity, pricing and online bookings have been around for decades and is in some ways the digitalization template air cargo is referencing.
This month, we hosted a Data Visualization webinar with bestselling author Cole Nussbaumer Knafflic. Cole wrote the popular book “Storytelling with Data” and is also known for her blog. She also works with organizations and individuals to help them become more effective data storytellers through workshops.
″, “disruptive technology” and the “Internet of Things (IoT)” are just a few examples that continue to appear time and again. Combine this with the fascination in industry for “big data” and you have a recipe for a specialised, cloud-based archiving language. . Terms like “Industry 4.0″,
Our recent webinar shared 3 must-haves for companies to improve their S&OE capability. In this blog, we will cover some commonly asked questions about S&OE and S&OE applications, based on what we heard from our webinar audience. S&OE and Data/Integration. How can you get data visibility? Let’s dive in.
Organizations must take the following steps to bring departments together to create truly resilient and sustainable supply chains: Leverage external data to sense market shifts Look to external causal factors and forecasting models to identify market shifts. <br>- Use external data for forward-looking decisions.
In recent years, the amount of data available to most companies has exploded. Common issues include: Lack of data-source integration. The ability to gather and compare data from multiple sources is vital to making real-time decisions. Data warehousing costs rise. Scarce manpower. Human error.
Editor's Note: Today's blog is from our friend Derrick Rehn with FusionOps who shows us how big data analytics can benefit you in your supply chain. . As big data analytics offer a sizeable competitive advantage for many industries, the drive to deliver cutting edge innovation in data analytics is ever increasing.
This is where being able to monitor tender data at the market level can become your secret superpower. Take, for example, the market of Twin Falls, Idaho in comparison to Lakeland, Florida. Tender data uniquely uncovers greater visibility into volumes and supply/demand metrics where seasonal impacts will make an impact.
Examples of application in nanotechnology include: Faster computer processing, Smaller memory cards that have more memory space, Clothes that last longer and keep the wearer cool in the summer, Bandages that heal wounds faster, And tennis and bowling balls that last longer. An example of a critical notification is a defect or damaged ping.
Data-driven analytics enables you to make cost-effective transportation decisions. However for most shippers, parcel spend is poorly understood because shipping data is often locked up in point solution silos, such as carrier-provided systems and websites, in a variety of different formats. But no longer.
Through the use of connected devices and greater abilities to capture data in real time, the concept of end-to-end visibility and improvement thru the use of supply chain analytics has changed. However, the Internet of Things and big data supply chain analytics are allowing manufacturers to monitor performance in near real-time.
The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream. Table 1 describes a few examples of these types of risks. Examples of disruptive risks are suppliers going out of business or shipwrecks that result in the loss of cargo containers.
For example, trade from a single port may become congested. Assess Data Quality. Although data can be collected automatically across all shipment processes , the quality of data greatly affects its ability to enact change across supply chain practices. As a result, disruptions and distressed shipments are lessened.
Unfortunately, problems can continue well into pick up when a thorough understanding of processes and data capture is not in place. However, these problems can be avoided through the use of data capture, organization, and carrier-shipper relationship elements. Data Capture For Reducing Pre-Pick up Problems.
At its core, the IoT serves as a way of gathering data and information about a process, but applications of the IoT can detect potential problems within a machine before the machine falters. For example, a subtle change in hydraulic pressure may still permit the machine to operate. Automated Data Transfers.
Collaboration is poised to enable better flow of information and resources in both directions for both parts of the supply chain, which will inherently lead to more efficient processes and data-based decisions. So, why do supply chain managers not take advantage of this data with respect to procurement? But, the divide continues.
For example, a warehouse management system (WMS) is crucial to a modern distribution center management. This is just a crude example, but logistical questions like these will determine things like your pick path and the way items move through your warehouse. You can also manually gather data if required.
Things like inaccurate inventory data, redundant processes and mis-picks all waste time. For example: Your inventory manager likely wants better accuracy of the quantity and location of inventory. Picking (in batches, by expiry date or by location, for example). Step 3: Develop a plan for ERP.
Things like inaccurate inventory data, redundant processes and mis-picks all waste time. For example: Your inventory manager likely wants better accuracy of the quantity and location of inventory. Picking (in batches, by expiry date or by location, for example). Step 3: Develop a plan for ERP.
Will connected supply chain technology applications simply speak to each other and update all the data? In fact, Gartner found that 64% of large enterprises plan to implement big data projects. All of this data needs to go somewhere – but where? IoT data will be more democratic than SCADA data.
Without thinking about the supply chain, how has data storage changed for the average household? Introduced by Apple, the cloud quickly grew to become one of the most common aspects of data storage and retrieval. However, cloud-computing capabilities is not limited to data storage and retrieval. Smartphones.
For example, a single business who engages in reuse and recycling can take advantage of the mass-following of the Green Movement. By setting an example for others, a company who recycles their end-of-life products embraces the wants of the public. When a data breach occurs, it has the potential to decimate a company’s customer base.
This advancement is based on the potential to integrate relevant data at any point in the value chain, define inter-dependencies from the data almost instantaneously, and utilize advanced analytics to develop highly targeted solutions. 11 Improvements by the Deployment of the Internet of Things in the Supply Chain.
Nearly every new piece of equipment or technology is inherently imbued with data capture and processing capabilities. For example, a company’s enterprise resource planning (ERP) systems should be accessible from anywhere within the manufacturing enterprise. Big Data Accessibility Will Drive Innovation and Change.
Furthermore, the number of consumers who want to ensure their data is safe has grown exponentially in recent years, especially considering the massive data breaches at Target and Home Depot. Your IT department also relies on innovation due to how quickly technology advances.
has introduced the concept of data exchange withing manufacturing and this opens countless business opportunities, some of them were unimaginable before. By implementing sensors, data of all types can be utilized, making products become even services as well. Industry 4.0
This means that you can target very specific parts of your demand data and dynamically run different scenarios in those conditions to measure its effect. As w e ’ve seen in the examples above, scenario modeling can be incredibly valuable to optimize this part of the chain. Network Design does not exist in isolation .
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