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In this recent post from Descartes’ blog, Chris Jones analyzes July 2022 data related to U.S. Container Import Volume Maintains Record Trend for 2022 as Port Congestion and Delays Persist. ocean ports and import volumes. Read more Editor’s Pick: July U.S. The post Editor’s Pick: July U.S.
About Sarah Ahern Sarah Ahern is a trailblazing female leader and mentor in data and business management, a 4x entrepreneur with a social impact focus, and a builder in the woman-owned business community and beyond. Use data to know who their best customers are and what they want – exceptional companies don’t guess.
Blog " * " indicates required fields Email * Email This field is for validation purposes and should be left unchanged. This proliferation has made the need for – and lack of – industry data standards all the more acute. are growing too. Finally, there was also the discussion of – what’s taking so long ??? future may hold.
Eliminating Inefficiencies: Onward’s data-driven platform tackles the inefficiencies of traditional big and bulky delivery. This eliminates the need for maintaining their own delivery fleet, reducing costs and improving overall agility. This means faster deliveries, lower costs, and less wasted space for everyone involved.
Manufacturers must ensure adherence to regulatory compliance, strike a balance between efficiency and profitability, maintain unblemished food safety records, and guarantee customer satisfaction. Their valuable data is often locked away in separate, siloed, and outdated systems and formats, making data access and analysis an uphill task.
Before we close the curtains on 2021, we thought we’d revisit ten of our most popular blog posts that resonated with our readers, capturing the challenges and opportunities of an unparalleled year of disruption across the supply chain. Without further ado, here are GlobalTranz’s top posts of 2021: #1.
An ERP system is a valuable asset for automotive distributors looking to leverage the data they create and use. An ERP provides a central repository for all a distributor’s data. The data can be used to identify inefficiencies in the supply chain, improve inventory management, and streamline operations.
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. It is slow.
Original article: PODCAST: Modern Courier Delivery Compliance Considerations: Understanding SOX and SOC Compliance Logistics and supply chain are some of the world’s most complex and regulated industries, which has been further compounded by increasing reliance on data and technology in both fields. What Is SOC Compliance?
The manufacturing industry is currently undergoing a rapid digital transformation, and as a result, companies are generating vast amounts of data. Unfortunately, without proper processing and analysis, this data is of little use to the organization. This can lead to improved quality, reduced waste, and optimized production processes.
Manufacturers increasingly turning to data and analytics, from an ERP system, to support business initiatives. Data is after all the fuel that runs the Fourth Industrial Revolution. Challenges to using data. Many manufacturers are data-rich but when it comes to using it they are insight-poor.
Maintaining good compliance to these informational guides is critical to supply chain management and relies heavily on current data and automation. Missing data amounts to inevitable routing guide failures Data is king in today’s ever-changing market, and it is only becoming more vital for supply chain operations and management.
They discuss how to use freight data to improve conversations and build trust with your customers. The company maintains a single point of contact with clients, backed with team collaboration, to assist with directions, drive time, pick up and drop off. Bridge values and maintains working, strong relationships with its carriers.
Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.
“What’s the best way to use data to beat your competition as a freight brokerage business?” Nevertheless, it all adds up to a greater demand for integrated systems and real-time data. Furthermore, real-time data and SaaS-based resources have additional value in the form of enabling management by exception.
The needs to improve fleet asset utilization and to maintain better control over trucking costs are absolute. Establishing and maintaining such connections allow applications to exchange information more effectively. And of course, it hinges on the ability to understand and maintain consistency in your metrics. .
Mastering Temperature-Controlled Shipping to Ignite Grilling Season Search Search BlueGrace Logistics - May 15, 2024 As grilling season heats up, it’s crucial to maintain the freshness of temperature-sensitive proteins during their transit. This helps maintain its freshness and prevents bacterial growth.
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 for the BlueGrace Logistics Confidence Index is aggregated through a survey of shippers and reflects all freight transportation modes, while correlating growth or shrinkage to the overall industry volume of shipments and the price of products, according to BlueGrace. READ THE FULL ARTICLE
Instead of being relegated to the margins, executives must rethink their strategy and consider how a data-driven reverse supply chain can add more value and improve profit margins. The Benefits of a Data-Driven Retail Reverse Logistics Strategy. Faster time to resolution for returned items. Contact Our Reverse Logistics Team Today.
Tracking market trends within truckload rates relies heavily on data and analysis. This kind of real-time data analysis and application is essential for shippers to stay strategic and tactical as they forecast out contract and spot truckload rates. Data-driven insights provide a rubric for guiding RFP processes.
They help businesses organize and analyze data, leading to better decision-making and improved efficiency. In this blog, we’ll explore how they are used in various aspects of the supply chain, including transportation, inventory management, demand forecasting, and network optimization.
Mobile data can play a pivotal role in building the supply value chain. Mobile devices have functions that provide valuable data for the supply value chain. But even more importantly, this freight data enables shippers to optimize their company’s operations in various ways by avoiding overspend and more.
In this blog, we’ll explore practical strategies tailored specifically for food and bev shippers, focusing on forecasting methods and inventory management practices that can effectively address retail demand shifts. Food and beverage shippers can achieve this by analyzing historical data and market insights.
Data access and analysis continue to be essential to competitive operations within the process of monitoring rates and expenses in intermodal shipping lanes. Data access to see savings compared to truckload and other shipping methods. Data accuracy can and does impact freight transportation in a significant way.
Solution: Use data-driven forecasting to predict demand as accurately as possible. By leveraging predictive analytics and a just-in-time (JIT) inventory model, you can maintain optimal stock levels, which reduces storage costs and cuts down on waste from unsold items.
Much has been made in recent weeks about supply chain data providers changing historical metrics. Well, maybe you should, since it’s the title of the blog…DATA INTEGRITY MATTERS! SONAR isn’t yet the longest-running or most-used data source in the trucking world (but we’re getting there!).
A Fortune 500 retailer, for instance, reduced its procurement cycle time by 30% by leveraging an AI-driven tool to analyze supplier data efficiently. based manufacturers shifting sourcing to Mexico instead of Asia traditionally took advantage of USMCA trade benefits while maintaining supply chain agility. For example, U.S.-based
As further explained by Deloitte , “business cases show how new technologies – from smart sensors to advanced data analytics to cognitive computing – are transforming traditional linear supply chains into connected, intelligent, scalable, and customizable digital supply networks to help reduce costs and drive sustainable growth.”
Successful supply chain management depends on the ability to collect data and apply it accordingly. As explained by Grainger , “In today’s global economy, technology trends like the Internet of Things (IoT) and Big Data have become an indispensable part of everyday business. There are times when the market does maintain stability.
What you will learn in this blog: Leveraging Data Analytics For Invaluable Insights Implementing Lean Principles for Waste Reduction Effective Management Of Supply Chain Costs As companies navigate market fluctuations and challenges, effectively managing supply chain expenses becomes pivotal for success. Read The Logistics Blog®
By spreading your risk, you can better navigate unexpected challenges and maintain continuity in your supply chain. With potential tariff increases on the horizon, maintaining strong supplier relationships can ensure quality and reliability, even in times of change.
The current business environment characterized by constant change, shorter product lifecycles and increased demand uncertainty mean organizations need control and agility within their supply chain to maintain competitive advantage. With reliable data from ERP manufacturers and distributors can use data analytics to respond to challenges.
But knowing what’s happening based on historic, peer and market data can help shippers figure out how carriers price freight loads. Here are a few things managers need to keep in mind when working with real-time freight data for pricing purposes. . Shippers may not track this data independently.
Blog " * " indicates required fields Email * Comments This field is for validation purposes and should be left unchanged. With new entrants coming into the LogTech market at a fast pace, the question many incumbents are asking themselves is: “How can we maintain our competitive position and build a ‘moat’ in our space?”
How to Navigate Your Supply Chain During Market Swings Show Submenu Resources The Logistics Blog® Newsroom Whitepaper Case Study Webinars Indexes Search Search BlueGrace Logistics - November 21, 2023 Market conditions play a crucial role in shaping challenges professionals face when managing their organization’s supply chains.
As the name suggests, production must be lean, and only tasks that truly add value are maintained. It also helps in lowering storage as well as transportation needs, which in turn reduces the total cost of investment required for the business to maintain. 3PL Inventory Management: Inventory is the bane for many companies.
This data can make the critical difference in successfully rerouting a truck to ensure on-time delivery. Some shipments must maintain temperatures above freezing to safeguard their quality and value.
Logistics Applications of Blockchain MaintainData for All Parties. Logistics applications of blockchain all derive from maintaining an incorruptible data resource. Tracking data while in transit reduces damage and ensures drivers maintain compliance. It also affects reverse logistics.
Here is a list of challenges and solutions for manufacturers to remain resilient and maintain growth momentum. Maintaining competitive advantage. Leveraging on predictive analytics and data for decision making. Industries are facing the need to plan new strategies and invest more in technology to gain a stronger foothold.
This blog discusses how manufacturers can start making AI a reality. Machine learning (ML): Using algorithms and data to detect patterns without being explicitly programmed to do so automatically. ML and DL are mainly used in data analysis, classification, clustering, and ranking. ML models learn from data.
Below are four recalibration tactics decision-makers looking to adopt a growth mindset should consider integrating into their strategies to drive growth and maintain relevance now and in the future. In an age where volatility is the norm, this data is key to effective risk-management planning.
In one of my previous blogs, “The Importance of Building a Business Case for ERP,” we looked at the significance of strategic planning and creating a solid business case before embarking on an Enterprise Resource Planning (ERP) implementation journey. With an ERP, all departments are looking at the same data.
Blog " * " indicates required fields Email * Name This field is for validation purposes and should be left unchanged. If price increases are maintained, they would reflect already tight capacity coinciding with a somewhat unexpected and unseasonal climb in demand. Europe prices (FBX11 Weekly) increased 6% to $3,550/FEU.
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