This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
If net profit on sales is 5%, for example, a reduction in supply chain costs from 9% to 4% (or from 12% to 7%) will double net profits. This is the big attraction and importance of cost reduction in a supply chain: profits can be increased without having to increase sales. The field for potential reductions is wide open.
Data is a big buzzword across industries, but how about when it comes to logistics? In this episode, Joe Lynch sits down with William Sandoval , the Senior Vice President of Product Management and Strategy at PowerFleet Inc. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.
Demand is at the Heart of Supply Chain Network Design The first step in the SCND process is translating business rules into a set of data inputs: demand, products, customers, sites, shipment rules, production details, and various constraints. Another strategy is to dedicate resources and build the best algorithm for demand forecasting.
These sensors capture precise data on factors like location, speed, fuel usage, and driver behavior, transforming fleet management from reactive to data-driven decision-making. The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance.
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? You may have recently had M&A activity, about to roll out a new product line or need to cut costs. When you finally have the analysis, everything has changed, and it is no longer relevant. It's easier than you think. We’ve all been there.
She has led programs ranging from acquisitions to technology deployment with a strong focus on lean manufacturing and data management. CarrierDirect builds organizations and relationships, providing strategy and technology designed to maximize efficiency, reduce cost, and make your business stand out. About CarrierDirect.
Let’s put a major multinational – Saint-Gobain – under the microscope to illustrate how this kind of analysis. It increases site productivity, reduces the usage of raw materials by up to 50%, but also leads to a more comfortable building. and Data Science. Who is Saint-Gobain? Compagnie de Saint-Gobain S.A.
This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.
Freight damage is not only expensive and upsetting to customers, but it is also ridiculously hard to figure out where, when, and how it occurred. Ilya was formerly a strategy and operations management consultant within the Big 4 with both PwC and KPMG, advising Fortune 1000 clients across healthcare, technology, and private equity verticals.
You are Making Significant Logistics Strategy Changes : When you realize that your current WMS cannot support new processes effectively or at all. You are Facing New Omnichannel Fulfillment Requirements : The boom of ecommerce and direct to consumer demands require new strategies and cutting-edge WMS capabilities.
Order-level Management: The tracking of orders from inception to fulfillment, and the management of the people, processes and data connected to the order as it moves through its lifecycle. For companies involved in shipping freight, the combination of order-level management and cost to serve analysis can be a game-changer.
From a financial standpoint, transportation cost analysis remains focused on determining the value of the resources used to execute a given shipment and goes well beyond benchmarking. Without clear budgeting and cost-prediction measures, the transportation network will be unable to accurately plan for increases and decreases in expenses.
If you are a finance professional in a manufacturing business, your main goals are to reduce risk, improve profitability, and maintain high levels of compliance. To do that, you need to access accurate data and create insightful reports for GL, as well as other finance and operational needs. Stale data. Analysis is limited.
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. . Maintenance repair was the next most expensive line item expense.
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.
Fortunately, smart data utilization can help reduce deadheading occurrences and make the entire supply chain more profitable. Finding quality loads for moves on trips that would have otherwise remained empty is the best way to reduce deadheading. This will help in reducing rampant deadheading. Think about it.
Image source: iStocks | The Ultimate Guide to Fleet Management: Strategies to Control and Optimize Your Processes Investing in a fleet management system results in an improvement in internal processes, which directly reflects the quality of the service provided to the end customer.
We’ll explore a few general solutions offered by leading technology platforms that retailers and logistics providers alike should consider: Carrier Allocation: Optimize cost and reduce risk by expanding partnerships with carriers and delivery service providers, improving capacity and flexibility.
For manufacturers, having the right business intelligence on hand at the right time can eliminate the guesswork from decision making, offering real-time visibility into business processes so you can anticipate your next move. In recent years, the amount of data available to most companies has exploded. Data warehousing costs rise.
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. When Standardized Data is not Standardized Data.
A great deal of the cost that goes into shipping gets tied up in securing load capacity and budgeting for fees and expenses incurred along the way. Understanding why rate forecasting is so vital and how accurate data and analysis can help improve predictions are essential.
So we thought we would impart upon all the shippers out there some tips on how to reduce overall costs for effective LTL Procurement. 10 LTL Procurement Cost Cutting Tips. Gather quality shipment data reflecting all LTL movements for the past 12 months. Due diligence is a shipper's most important step in successful bid analysis.
Quality and Detail of Data and its Analysis In some of our earlier posts, weve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It would be folly not to take advantage of data availability and accessibility.
Logistics companies that I talk to want to move to lead generation before they nail the strategy. It’s really all about the strategy. It’s viewed as an expense, not an investment. If you have the right CRM, you can do a pretty good analysis of what percentage of business is emanating from marketing.
Global trade data and shipping demand management are not just things that high-tech companies and international investors need to worry about. This focus makes proper use of global trade data and analytics so vital for continued recovery and growth throughout the supply chain network. Streamline data collection and analysis.
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. This remains key to the overall success of investments within supply chain analysis. Think about it. Download the White Paper.
Companies annually spend about $325 billion on warehousing — and 85% of that cost goes to operating expenses that include labor, space and equipment. A WES autonomously gathers real-time signals from across the warehouse, then applies artificial intelligence (AI), machine learning (ML), and data science to create plans and solve problems.
Despite all these issues, cargo handled has rose a whopping 22% in the period of December 2021/January 2022/February 2022 compared to the December 2020/January 2021/February 2021 period according to data from the Port of Houston. The post Analysis: Should You Redirect Your Cargo and If So, Where?
Eliminate All Waste in the Supply Chain So That Only Value Remains. o Energy-(Sometimes called the eighth waste): eliminate wasteful energy in the supply chain: minimize electricity, gas, utilities, etc. Reduce Lead Time. There should be metrics involved to monitor these objectives to ensure success across the supply chain.
A recent analysis by the American Trucking Associations (ATA) indicates that if existing trends persist, we could see a potential driver shortage reaching up to 175,000 by 2024. Just one hour of idling per day over a year equals 64,000 miles of engine wear , resulting in additional annual maintenance expenses of up to $9,472 per truck.
Data Capture. Shipping freight inherently comes with a large amount data. Each data entry is an opportunity for data capture and analysis. Additionally, ensuring a superior data capture capability allows clients to become more confident in tracking and visibility in shipping. Shipping Strategy.
Quality and Detail of Data and its Analysis In some of our earlier posts, we’ve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It would be folly not to take advantage of data availability and accessibility.
The costs of logistics as a ratio of total expenses are too significant to ignore. Measuring performance with transportation KPIs and freight data is getting easier. Keeping costs under control should be a proactive, not reactive strategy, especially during an unprecedented time of transition and reopening ahead of peak season.
Technology can help to simplify your supply chain management, which will enable your business to operate more efficiently, give you more visibility and control over your inventory, and help to reduce your operational costs. Radio frequency identification (RFID) has become one of the megatrends in logistics.
By carefully planning and scheduling maintenance before issues arise, businesses can avoid interruptions and reduce costs associated with emergency repairs and downtime. Continue reading to learn more about this essential strategy to ensure your equipment performs optimally at all times. Let’s dive in!
With surges in fuel costs and new fees, taxes and expenses levied on every load, budgeting needs only continue to increase. That’s where data analytics comes in.” Gaining in-depth insights and current data about the supply chain, load statuses, and consumer demands can make it easier for enterprise sippers to adjust and plan.
Supply chain strategy is critical to business success, but companies often underestimate its importance and hence pay it less leadership attention than other areas of operation. Supply Chain Strategy. In other words, the majority did not recognise the need for close alignment between supply chain and general business strategies.
Over the last decade, ever since social media and the IoT became common-place mediums, there has been a change in marketing tools and strategies. A more streamlined communication is provided by omnichannel strategies. In-store visits were drastically reduced during the pandemic. What does the future hold for physical retail?
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. Order Processing Capabilities.
Supply chain strategy is critical to business success, but companies often underestimate its importance and hence pay it less leadership attention than other areas of operation. Supply Chain Strategy. In other words, the majority did not recognise the need for close alignment between supply chain and general business strategies.
The mistakes that can pull your supply chain far away from the progress are bad cost management strategy, lack of optimized business processes, neglecting data and KPI’s, poor customer service and no future planning. One of them is a bad cost management strategy. But how to get rid of them? Keep your long-term growth plan ready.
Editor's Note: Today's blog comes from Katie Cruze at considerdigital.com who give us the top 5 reasons why data quality is important. Data, for most companies, is often collected for record-keeping purposes. For many companies, managing the quality data can seem like an overwhelming task.
Supply chain automation refers to the tools and technologies we can use to make manual tasks automated, reducing the need for human workers. These smart robots talk to the WMS to optimise picking routes and cut order fulfillment time in half. What is Supply Chain Automation? First, there’s the dramatic impact on costs.
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. When Standardized Data is not Standardized Data.
We organize all of the trending information in your field so you don't have to. Join 84,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content