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In a survey we conducted in October 2020, 91% of our Indago supply chain research community members, who are all supply chain executives from manufacturing, retail, and distribution companies, either Agreed or Strongly Agreed that the time had come to transform the traditional transportation procurement process.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Speaker: Adam Robinson, Director of Marketing, Cerasis
Using Automation Driven Data for Improved Actionable Insights. We’ll address how automation in the supply chain will provide employees with the following: More Strategic Procurement. Find Freight Capacity & Reduce Freight Costs with Automated, AI, & Blockchain Driven TMS. We look forward to having you at this webinar! February 6, 2019 11.00
The company aims to change this with the expansion of its data fabric portfolio. A supply chain data fabric can help companies augment their supply chain processes. Now companies are trying to collect data from multiple tiers of a supply chain in near real-time. Decisions need to be digitized.
We spoke with CTSI-Global to learn more about their approach to transportation management and the solutions they provide for businesses navigating the complexities of supply chain operations. CTSI-Global operates at the intersection of logistics and technology, focusing on solutions that address the challenges of transportation management.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. This blog is Part 1 in our Optimizing Supply Chain Performance with Unified Data series, with a focus on optimizing fulfillment.
We spoke with 3G to learn more about their approach to transportation management and the solutions they provide for businesses navigating the complexities of supply chain operations. 3G is a company deeply rooted in the logistics and transportation industry, with a team of experts who have dedicated their careers to this field.
Today’s question becomes: How do you leverage data to automate and optimize across the full order lifecycle? The "TMS+" approach is more than a standalone Transportation Management System (TMS). In this paper we discuss why a holistic “TMS+” approach is integral to success in the new normal and beyond.
Kristina Bernarducci and Joe Lynch discuss delivering the drinks: streamlining beverage transportation. Her approach blends data-driven strategy with a human touch, helping companies solve complex problems while creating space for collaboration. Kristina and the Bettaway team are big supporters of Wreaths Across America.
Sustainable Shared Transport Inc. 1) and Fujitsu Limited, today announced the launch of a joint transportation and delivery system for shippers and logistics providers in Japan. Fujitsu will utilize SSTs joint transportation and delivery service as a shipper and has jointly built a data integration platform with the company.
The transportation, logistics, and energy storage sectors are undergoing profound transformation, driven by rapid technological advancements, evolving consumer expectations, and the global pursuit of sustainability. In transportation and logistics, this has manifested as a significant focus on electrification and renewable energy integration.
As global supply chains grow more complex and customer expectations skyrocket, Transportation Management Systems (TMS) have become a strategic linchpin for companies aiming to stay competitive. Click here to download the free Executive Summary and see whats shaping the future of transportation management today.
Congested seaports stalling transportation of much needed materials and goods. Supply chain analytics can arm the supply chain leaders to meet various supply chain challenges, including: Lack of real-time data visibility. Inconsistent data on safety stock levels. Imbalance in product lines, creating asset underutilization.
Physical Layer: Transmits data over a physical connection. Data Link Layer: Handles data transfer between connected nodes. Network Layer: Manages data routing. Transport Layer: Ensures dependable data transfer. Presentation Layer: Translates between data formats. These seven layers are: 1.
In “2025’s Top 100 3PLs: How Logistics Giants are Confronting Uncertainty”, Joe Lynch and Seth Clevenger , Managing Editor of Features and Multimedia at Transport Topics, discuss the Top 100 logistics companies, 2024 performance, changes to the list, and the trends impacting the industry. Clevenger, currently based in Alexandria, Va.,
Freight transportation makes up over 10% of total global carbon emissions. Reducing emissions from transportation is crucial to achieving organizations sustainability goals. The ability to drill down into this data at multiple levels ensures that sustainability measures are implemented and optimized for various supply chain segments.
Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. In mathematical terms, optimization is a mixed-integer or linear programming approach to finding the best combination of warehouses, factories, transportation flows, and other supply chain resources under real-world constraints.
Have you ever wondered if your transportation spend is as optimized as it could be? Join Hannah Testani, COO of Intelligent Audit, as she takes us through the reasons why your shipping could cost so much, and how to use big data and digital transformation to move the needle on your transportation spend.
Shippers, brokers, carriers, news organizations and industry analysts rely on DAT for trends and data insights based on a database of $150 billion in annual market transactions. Real-time Market Insights: DAT provides real-time data on spot market rates, capacity availability, and lane-specific trends, enabling informed decision-making.
Mike Hane, Director, Product Marketing, TMS at Descartes Does your company view transportation as a competitive weapon? The report categorized survey respondents in terms of how they see transportation: either as a “Competitive Weapon” or “Not Important.” For example, Competitive Weapon companies are 3.4
As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Edge computing processing data locally, near the source has emerged as a method to address these challenges by reducing latency and improving resiliency.
Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. By 2014, the company had purchased the Coupa solution, developed an internal modeling team, and created data extraction and cleansing routines. This is when the firm hired Mr. Botham.
For professionals in logistics and supply chain management, understanding the implications of this technology is crucial, as it has the potential to fundamentally change the way goods are transported and delivered. Machine learning improves the vehicle’s performance by analyzing data from past deliveries and refining its operations.
That’s where data analytics comes in. Modern supply chains thrive on real-time data, execution-focused applications, and dynamic decision-making. In this post, we’ll explore how data analytics can revolutionize your supply chain. Demand Forecasting: Analyze past data to predict future needs.
Heres an excerpt of what I wrote at the time: To derive business value from visibility, you have to do something with the data and insights collected. Its the doing, the actions taken to improve your transportation. I first raised this question in an April 2022 post.
It may be hard to believe given bankruptcies and layoffs , but the number of truck transportation jobs reported by the Bureau of Labor Statistics for May is now higher than it was a year ago. It’s the first month since April 2023 when truck transportation figures from the BLS have surpassed those of the prior year.
Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Excess inventory, stockouts, and increased transportation expenses are common consequences of outdated planning methods.
With extensive experience in transportation, logistics and supply chain, leadership and institutional expertise solidify SwanLeap’s position as the leading provider of end-to-end transportation technology. A life-long entrepreneur passionate about improving the world, Brad is the visionary behind SwanLeap’s next generation technology.
Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,
is redefining transportation by integrating IoT sensors into vehicles, fundamentally shifting fleet operations. 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.
While the revenue growth in transportation management was not discussed, their Cloud TMS business is growing. In the last six months, we have not seen a single transportation deal that does not include network capability. It turns out data fabrics are the necessary foundation on which to build advanced agentic AI solutions.
With over 24 years of Sales/Sales Leadership experience in Logistics, Transportation, Compliance and Technology, Jon has worked with various clients in the Enterprise, Government/SLED and SMB spaces to deliver outstanding service and results. Previously, Jon has worked for companies such as J.J.
Kudos to the supply chain and logistics teams that have already adopted transportation management systems (TMS), warehouse management systems (WMS), and other digital solutions. They can ingest large volumes of functional data and leverage advanced intelligence to recognize broad trends and specific disruptive events.
SCCN solutions allow trading partners to collaborate across defined trading partner processes based on a common data model. The most common trading partner collaborative processes covered in SCCN suites are purchase order/procurement collaboration, demand forecast collaboration, and the transportation shipper tender/carrier accept process.
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The data is accessible to state U.S. Department of Transportation (DOT) agencies, facilitating improved safety, maintenance, and repair of roads, particularly during natural disasters. The investigation will assess whether Temu is meeting DSA requirements, particularly regarding providing access to public data for researchers.
Theyre built for a narrow job: to allow simple devices to send small data packages across long distances with minimal power usage. In both cases, devices can last up to 10 years on a battery, waking only to transmit data at defined intervals. Theyre not general-purpose wireless technologies. Still, they serve different purposes.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated – frequently not at all. However, large organizations are often equipped to handle fulfillment in-house, leveraging their extensive resources and capabilities.
For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? In current systems where Distribution Requirements Planning (DRP) and Transportation Management (TMS) are different models, alignment is impossible.
This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. The platform collects data and makes sure the master data is internally consistent. We are a platform.
Supply chain orchestration is about managing the movement of goods, data, and decisions across the entire supply networkstarting with suppliers and continuing through to the customer. Why Orchestration Matters The more connected a supply chain becomes, the more it depends on timely, accurate data and consistent communication across teams.
Pledges capabilities automate the collection and exchange of shipment data from logistics suppliers to facilitate accredited and traceable emissions calculations across all transport modes, including air, inland (e.g., truck, rail, barges), and sea.
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