Swisslog Announces Webinar Focused on Rising to the Challenges of E-Grocery Fulfillment

Logistics Manager

Swisslog has announced they will be hosting a webinar on May 12, 2020 focused on rising to the challenges of e-grocery fulfillment. Click here to register for the webinar, and for more information Swisslog has also supplied a free interactive ebook here.

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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Why Benchmarking Alone Isn’t Enough for Proper Transportation Cost Analysis


Given that our proprietary TMS, the Cerasis Rater , provides multiple reports, giving our shippers’ many insights, this post is quite appropriate, just like getting the data that is meaningful , in order to make the best decisions for your business possible. . Benchmarking as a Hard Rule within Transportation Cost Analysis Can Be Damaging. Do you benchmark yourself against yourself year over year or even if you know your industry well enough to get accurate data as a shipper?

How Can Data Improve Supplier Decisions?


A growing trend across all industries has been the application of big data , with the use of algorithms and the hiring of data scientists becoming commonplace. As businesses collect and store an ever increasing amount of data, the algorithms required to make sense of this data will become even more valuable. Data, Data, Everywhere… but Make Sure your Drinking from the Right Hose. This process is referred to as ‘data cleansing.’.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

Want to build your internal capability, reduce costs and make better decisions? It's easier than you think. 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.

The 5 Key Reasons Why Data Quality Is So Important


Editor's Note: Today's blog comes from Katie Cruze at who give us the top 5 reasons why data quality is important. Data, for most companies, is often collected for record-keeping purposes. Data is collected when an inspection is completed, an employee’s performance is reviewed, and maintenance is recorded, or even when a safety meeting is conducted. For many companies, managing the quality data can seem like an overwhelming task.

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Why A Successful Transportation Management Program Is Empowered By Data


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. The Use of Data to Create a Successful Transportation Management Program. Businesses are often left with questions about the origination of such data.

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6 Benefits of Applying Useable Data in Logistics For Continuous Improvement


Today we will go into detail on using the available data created in the processing of shipments within transportation management and other related logistics management for continuous improvement. . 6 Benefits of Using the Right Data in Logistics & Transportation Management for Continuous Improvement. Shipping processes revolve around a million-trucks-worth of data. Take a look at how your data can be used for continuous improvement across your organization.

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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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How Freight & Transportation Data Can Trim Your Transportation Spend


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. However, as we’ve noted in a previous post, getting the right data is key as well. Luckily, this isn’t the case for transportation data.

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Supply Chain Analytics: A Continued & Renewed Focus on Using Data for Improvement


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. As the supply chain grows increasingly focused on meeting the demands of an increasingly data-driven and customizable world for consumers and business to business partners, the need for continual improvement and better visibility will continue to drive analysis of available supply chain analytics.

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4 industry executives look into the future of global supply chains

Shipping and Freight Resource

This survey which was answered by over 300 Shipping and Freight Professionals across the world collected and analysed data on three key aspects of Impact, Preparedness, and Recovery. Freight Opinion Shipping Supply Chain future of global supply chains Webinar

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How the Three M’s Can Help You Cut Down on Supply Chain Cost

Blue Grace Logistics

The data and analytics gathered during the measure phase is instrumental to a proper understanding of your operations. As the global supply chain settles into the COVID19 technology driven and customer-centric decade, there’s no time to pause and reflect on what has happened.

Using Predictive Analytics For Better Supply Chain Resilience

Blue Grace Logistics

Improving predictability in outcomes is valuable, but ensuring your supply chain is nimble enough to act on the data is even more so. We explore how predictive analytics and big data with human sentiments can add value and amplify their supply chain strategies.

Upgrading to One Integrated Suite for all Logistics Operations with Naval Sabharwal

The Logistics of Logistics

Utilizing fragmented systems limits logistics companies from fully leveraging the data in their systems. Data equals dollars and the 3PLs that best harvest the data (dollars) in their systems will be the most profitable. More viable and up to date data. Ramco Webinars.

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.

Control the Cost of Free Shipping with Enterprise Parcel Shipping Analytics


Shipping data has historically been locked up in a disparate array of silos like multi-carrier systems, carrier-provided systems, and websites that each store data in a variety of different formats. Register For The Webinar. SaaS-based parcel shipping platforms , data warehouses, and business analytics technology make it easier and more affordable to manage multi-carrier shipping costs. Data Small Package

Why These 7 More 2018 Trends in American Manufacturing Focusing on Standards & Process will Spur Growth


Demand for Data Scientists Familiar with Manufacturing Will Increase. Manufacturers will also expand career opportunities for existing employees and create new positions, especially data scientists. Manufacturing human resources departments will need to complete additional training on how to identify potential candidates, check credentials and understand basic data science and analysis concepts. Revolution is prevalent across the manufacturing lines.

Advanced Analytics Continue to Get a Bigger Plate at the Manufacturing Dinner Table


Data collection, analysis, and appropriation will be defining factors for manufacturers this year. The Industrial Revolution gave birth to the concept of statistical quality reporting, the ultimate precursor to all data processing and analysis aspects in business. As the world became increasingly reliant on computers and technology, the ideas of aggregating data will focus more on electronics and capabilities. More Data Is Becoming Available Every Second.

5 Ways Manufacturing Companies Can Find the Deeper Secrets Behind the Numbers & Data That Don’t Lie


As a technology company ourselves, who offers a transportation management system for manufacturers and shippers, we value this post as it talks about the importance of using the data we all find in our business. However, it goes deeper to unveil how to best go about understanding the data by further collaborating and putting trust into your internal and external business relationships. You must pay attention to the sequence of the logic offered in the data.

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7 Freight broker sales tips for setting the hook with prospects

FreightWaves SONAR

Or it could be a conference presentation or webinar your prospect just delivered. . 3: Freight data. Speaking of keeping on top of trends, using freight market data is another attention grabber that is not as always evident in the list of freight broker sales tips.

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COVID-19 measures in Vietnam pummel an already bruised supply chain

The Supply Chain Journal

Due to the short notice of the announcement, many companies have been unable to meet the requirements in order to continue operations,” the data science company said. Add another log to the fire that is choking global supply chains.

Study: Biodiesel packs major health and economic benefits

The Supply Chain Journal

Emissions changes from conventional diesel to B100 (Photo: Alternative Fuels Data Center ). CO2 emissions are about 74% lower than those from conventional diesel, according to a life cycle analysis by Argonne National Laboratory.

[VIDEO] The 10 Most Important Things You Need To Know About The Internet Of Things


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? As a result, businesses are spending 50%–80% of their development time just prepping their data – collecting, cleansing, shaping, backfilling, and timestamping all of this information. Data needs context.

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Supply Chain Technology 2020: What to Expect?

Blue Grace Logistics

More supply chain partners on a single blockchain-enabled platform will help facilitate the timely and safe exchange of data among the various stakeholders, even competitors, and enhance traceability, reliability, and transparency in the system.

5 Automated Logistics Technologies Predictions for Success in 2018


Big Data Utilized with other Automated Logistics Technologies to Improve Efficiency and Logistics. Big data is among the most important automated logistics technologies to affect logistics in 2018. Large-scale analysis of data is utilized to reduce inconsistencies, produce reports for quick decision-making and enable better merchandise and customer management. According to Edicom , the impact of big data will be further enhanced through cloud computing technologies.

BlueGrace Logistics 2018 in Review

Blue Grace Logistics

The BlueGrace Webinar Series Is Introduced. BlueGrace began our new webinar series in February of 2018. With that announcement came 10 highly attended Webinars that offered valuable information from industry experts regarding everything from capacity issues, to freight data usage and visualization. Every attendee is offered a Free Supply Chain Analysis, utilizing BlueGrace’s proprietary data analysis tool, Vision.

[WHITE PAPER] How to Optimize Full Truckload Shipping Through Technology & Best Practices


The problem goes much further than that, including lacking compliance management, subpar, if any, use of transportation management systems (TMS), and failure to utilize granular shipment activity data. Shipment data granularity and analysis are linked with better freight allocation, which means making use of the full spectrum of available shipping options, including full truckloads.

IoT Inspired Smart Warehouses Are Reinventing Inventory Management


As the storage space of data has fallen, warehouse managers ’ rationale for avoiding IoT technologies has become even more archaic. The connection of systems nets scalability and actionable insights from the analysis of Big Data through the IoT. Collect data on everything, even systems and factors not traditionally associated with warehouse management. Everything is connected to the internet, including consumer and industrial devices and systems.

These Top Manufacturing Technology Trends will Fuel a Focus on Customer Experience in 2018


In fact, Alexa is being integrated into 2018 BMWs right now, says Bernard Marr of Forbes, so manufacturers will have yet another data stream that will allow them to benefit from the power of artificial intelligence. Analytics are not a new technology, but the growing amount of data generated by the IIoT and the IoT has given rise to a new era of analytics system.

5 Areas of Technology Application to Aid in Logistics Visibility and Communication for en Route Disruptions


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. Unfortunately, part of the problem with using incorrect data lies with the assumption of all data being of high quality. Warehouse managers should thoroughly screen and assess the quality of data.

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5 Big Benefits of Cloud-Based Supply Chain Management


A Cloud-based supply chain management solution has several advantages over the traditional model of manual inventory analysis combined with local area purchasing. A fully fledged data storage network with management software, system administrators, and integration with your local systems could cost an unpleasantly large amount of the budget when you add up the costs of equipment, personnel, and time.

10 Tips Shippers Can Use to Reduce Costs in LTL Procurement with Better Request for Pricing Bidding


P re-bid supply chain and customer analysis helps LTL shippers define strategic bid objectives, such as reducing costs or number of carriers, delivering goods to market more quickly, and addressing freight challenges within certain geographic areas. Gather quality shipment data reflecting all LTL movements for the past 12 months. Data entry errors do occur, so pre-bid data cleansing and accurate commodity descriptions are critical for successful LTL procurement bids.

15 Improvements by the Deployment of The Internet of Things in the Supply Chain


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. Data created, processed and analyzed by strategically distributed devices and systems in the chain significantly reduces visibility gaps and introduces tremendous flexibility into the production chain.