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A single, centralized source of truth for your organizations data is no longer a luxuryits a necessity for businesses seeking to scale efficiently, enhance profitability, and make informed, data-driven decisions. This leads to: Inconsistent reporting: Different branches track data differently, making comparisons difficult.
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We conclude our ongoing series in talking about effective KPI management by giving you a real live Logistics KPIs management casestudy from Whirlpool's engagement with a logistics service level provider. We hope the following casestudy shows you the proverbial proof in the pudding of effective Logistics KPIs management. .
Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.
Chemical manufacturers collect and use a lot of data in their supply chain. They deal with data on their products, customers, transportation, storage, operations and more. Acquiring that data is not hard but managing and utilizing that information to be able to analyze your business is the challenge. Lane Analysis Reports.
View the Full CaseStudy. Nussbaum Transportation Services adds value throughout its enterprise and uses data proactively to manage pricing strategies. We are actively using SONAR data and charts to provide daily updates to our team members and continuously adding value throughout deployment as time progresses.”.
Transportation Management software offers you a way to view insightful data, gain visibility, and better manage all the moving parts in the shipping process. How do you gather and view data? Through a TMS, you can automate and optimize your processes, gain visibility into your logistics, and view valuable data.?. your logistics?
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We will discuss casestudies, future trends, and guidelines for businesses considering whether to invest in this cutting-edge technology. These technologies leverage data collected from sensors mounted on UAVs, satellite,s and ground-based platforms, enabling farmers to make informed decisions based on real-time insights.
Global Logistics Trends 2025 Navigating Key Logistics Trends for High-Value Importers Sourcing from China and Beyond Listen to Our Analysis Your browser does not support the audio element. The Benefit: Faster clearance, reduced delays for time-sensitive shipments, and reliable transit data. Don’t let 2025 catch you off guard.
Global Logistics Trends 2025 Navigating Key Logistics Trends for High-Value Importers Sourcing from China and Beyond Listen to Our Analysis Your browser does not support the audio element. The Benefit: Faster clearance, reduced delays for time-sensitive shipments, and reliable transit data. Don't let 2025 catch you off guard.
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In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years.
In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years.
7 min read Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis In the dynamic world of supply chain management, optimizing warehouse operations has become an indispensable factor for businesses. One of the most powerful tools employed in this endeavor is the ABCD Analysis.
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It’s vital for chemical manufacturers to have access to the right data to contextualize their operation in comparison with the rest of the market and facilitate on-time deliveries (OTD). We strategically set new targets for OTDs based on CLX LaneLogix market data and developed a complete set of processes and best practices to meet the goals.
Though late, but when they decided to run through past condition data they found a substantial evidence- A high copper concentration in the hydraulic oil. The oil sampling results had been showing increased copper levels but neither the field engineer who were reporting the data nor the bosses sitting in the head office caught the spike.
They also recognized the need to look beyond their own data, and wished for experienced input on their procurement strategy. Download this casestudy! Finally, they wanted to understand the conformity of rate hikes they were observing among their carriers at the time.
In this CaseStudy, we’re discussing the successes of the partnership and the tools and methodology that will fuel continued success in Europe and other regions. Analyzing Data Getting value from raw data can be time-consuming. Often, shippers spend much more time preparing data than they spend on the analysis.
In this CaseStudy, we’re discussing the successes of the partnership and the tools and methodology that will fuel continued success in Europe and other regions. Analyzing Data Getting value from raw data can be time-consuming. Often, shippers spend much more time preparing data than they spend on the analysis.
What do we need for a successful condition monitoring, heaps of operational data? Knowhow of slice and dice dataanalysis, possibly true but in my opinion these are not comprehensive enough. Here''s presenting the casestudy of how a seemingly workable condition monitoring exercise can possibly go wrong.
An impressive casestudy to be sure, but alas, the cost of the technology is still prohibitive for most companies. In a word, it’s data. Good data will help you track valuable decision factors such as best per-mile rates, conditional charges, field charges and other variables to ensure your best bang for the buck.
How can I summarize the many sessions and customer casestudies I attended in a short blog post? presented a great casestudy on the company’s journey and success with real-time freight visibility. Customs Info in 2014, MK Data Services in 2015 and Datamyne in 2016). Keegan McCready, Sr.
It was a strategic/tactical analysis, disconnected from day-to-day operations, and the software tools were difficult to learn and use. In short, the manufacturer realized some time ago that it was setting inventory policies based on outdated lead time and forecast data. So, where does supply chain design end and planning begin?
If you’ve read up on the latest topics in the field of dataanalysis, then you’ve probably encountered the term Prescriptive Analytics. Prescriptive Analytics is at the cutting edge of data science and companies are increasingly interested in exploring its benefits. billion in value by 2019. Additional resources.
Though late, but when they decided to run through past condition data they found a substantial evidence- A high copper concentration in the hydraulic oil. The oil sampling results had been showing increased copper levels but neither the field engineer who were reporting the data nor the bosses sitting in the head office caught the spike.
Shipper's Guide to Planning Ahead Show Submenu Resources The Logistics Blog® News Press Whitepaper CaseStudy Webinars Indexes Search Search BlueGrace Logistics - March 20, 2023 Data shows there is a consensus that revenue will increase and inventory levels will build. The latest LCI forecasts an upwards trend for Q2.
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It rests in understanding the value of collaborative logistics , including the causes of shrinking profit margins in freight brokerages, how analytics and data allow Freight Brokers to measure and improve the health of their business, and immense opportunities to apply analytics, drive collaboration, and lower freight costs for customers.
Cloud & Big Data. CaseStudies. |. « 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. These 3 master data elements contributed to almost 50-60% of planning issues.
If you’ve read up on the latest topics in the field of dataanalysis, then you’ve probably encountered the term Prescriptive Analytics. Typically, organizations use Excel to start getting insights about what to do when, using data from transactional systems. Validating and finding errors is taxing. Additional resources.
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When we initially went down this road, we did a full quantitative and qualitative analysis and the ability to upgrade on a more regular basis was definitely one of the benefits. Access to data was another consideration.
Plus hard-hitting interviews, site visits and casestudies with ABP, Panattoni, Samsara, Dematic, Clark, Goodman, Colliers, Panasonic, Knapp, Mecalux, Daifuku and more. Our digital issues can be read in any language, or listened to.
Streamlining and digitizing data and automating internal and external operations increases the efficiency of the whole industry. Streamlining and digitizing data and automating internal and external operations increases the efficiency of the whole industry. Automation and digitization are the first step towards digital transformation.
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