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He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers. During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability.
They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. A 2023 McKinsey study found that companies relying on reactive supply chain management lose up to 10% of annual revenue due to inefficiencies and missed opportunities.
John is CEO of FreightPath, an innovative talent firm that offers both a comprehensive learning management system and a direct candidate sourcing solution. John’s vision for continuous service improvement and his prior experience with global recruitment firm Search Logistics drive FreightPath’s success.
Instead of stockpiling inventory, businesses can fulfill orders almost immediately, improving responsiveness and reducing overhead costs. Improved Supply Chain Efficiency Fewer touchpoints mean reduced risk of damage, better coordination between suppliers and distributors, and more predictable deliveries.
A Fortune 500 CPG company partnered with GEP to improve end-to-end category management, optimize direct spend categories, and increase strategic focus on tail spend. This is essential reading for all procurement and supply chain leaders. The result was a year-over-year savings of more than 3%.
Three technologies have emerged as game-changers for third-party logistics (3PL) and supply chain experts: large language models (LLMs), freight optimization platforms and no-code automation. This enables 3PLs to optimize inventory levels, reducing the risk of overstocking or understocking, even in uncertain economic times.
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. Missed opportunities: Businesses cant identify patterns or optimize strategies without cross-branch insights.
Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. Your team is currently using AIMMS for a supply chain optimization project. With the output from AIMMS models, we can improve our decision- making process.
With the digitization of the source-to-pay process being a key initiative for many chief procurement officers, to the inherent automation which promises to accelerate innovations such as artificial intelligence (AI), digitization is growing. However, it is fundamental to empowering procurement success in the modern age.
Disruptions like the pandemic, supply shortages, global trade barriers, high customer expectations and inflation all add tremendous pressure on the procurement process. Despite this, only 33% of businesses invested in procurement and sourcing technologies. Using ERP to improve purchasing transparency.
Disruptions like the pandemic, supply shortages, global trade barriers, high customer expectations and inflation all add tremendous pressure on the procurement process. Despite this, only 33% of businesses invested in procurement and sourcing technologies. Using ERP to improve purchasing transparency.
These tools can transform your supply chain, helping you predict inventory needs, automate repetitive tasks, and optimize delivery routes. Companies that have successfully implemented AI have seen improvements in logistics costs by 15%, inventory levels by 35%, and service levels by 65% compared to competitors. Why it matters?
As a consequence, NVOCCs, logistics service providers, warehouse operators, and freight forwarders can improve their operations in terms of service quality, efficiency, and pace. Those that have embraced artificial intelligence have reported reduced costs, improved productivity, and more controllable margins or error.
The Company has large chemical locations and operations throughout Europe, and sought to compare their transportation rates with those of their competitors in an effort to make optimizations. They also recognized the need to look beyond their own data, and wished for experienced input on their procurement strategy.
Below is an excerpt from a report published recently by Amber Road and the American Association of Exporters and Importers (AAEI) titled “ The Trade Trends Report: 2017 Report on Sourcing, Trade, and e-commerce.” This bring concerns for transportation costs as we see as the #2 area of importance for sourcing.
How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions. Another use case we see for scenario modeling in the current context is evaluating new sourcing locations.
The examples below show you how to do this in AIMMS SC Navigator Apps, but we encourage you to study these scenarios in the tools you have at your disposal. . Multiple best/worst case scenarios should be run under different demand conditions to study the impact on your supply chain. Study 2: Inspect Demand Trends .
Many factors need to align for an organization to be able to source materials, produce a product and put it in the hands of customers. The pandemic has exposed flaws in business practices across industries, which have been acutely felt in their supply chain and procurement operations. Gap between supply chain and procurement.
With the threat of more trade tensions on the horizon in 2019, shippers should optimize their supply chains now to minimize disruption. Today, as the threat of future tariffs looms, shippers need to optimize their distribution networks ahead of time so they can reduce or eliminate future disruption. How can you prepare?
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.
John is CEO of FreightPath , an innovative talent firm that offers both a comprehensive learning management system and a direct candidate sourcing solution. John’s vision for continuous service improvement and his prior experience with global recruitment firm Search Logistics drive FreightPath’s success.
Having studied engineering at USC and Stanford, Matt is no stranger to complex data problems. We improve transportation spend visibility so companies can control their costs and power profit. Its innovative platform and services are helping businesses to improve their supply chain performance and achieve their business goals.
Nor did they talk about executive bonuses or using excess cash for stock buybacks to raise the price of outstanding stock rather than investing that money into developing new aircraft; improving existing products or processes; or distributing that profit as dividends to the shareholders. Remember that this was 1992 or so.
We’re sharing seven best practices to improve OTR transportation management, enabling shippers to stay competitive in the face of disruption. Leveraging historical data with current market trends, and layering human review and intervention provides insight into OTR transportation optimization opportunities.
Supply chain optimization ensures a smoother process and a more successful business model focusing on efficiency and profit. First, let’s define what supply chain optimization means, the different factors involved, and how the right supply chain optimization techniques and solutions can help you support your key business initiatives. . .
Supply Planning crafts production plans that optimize available capacity and resources, not just optimal but synchronized with operational constraints, ensuring the right product mix at the right time and cost. This world isn’t a distant dream.
By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. The Future of Matrix-Based Optimization The Future of Matrix-Based Optimization AI and machine learning (ML) take matrix-based analysis to new heights.
A major general merchandise retailer we work with has delayed all non-perishable inbound freight into Tampa for a week,” Byrne told Sourcing Journal. You have a hurricane in Florida, and freight rates in Seattle are affected three or four days later,” Williford told Sourcing Journal. It stayed, and it’s helping.
They were also seeking a platform to help manage a transportation procurement event that would allow them to optimize their spending through rapid industry shifts and challenges. The CLX Logistics Solution The chemical shipper implemented CLX’s LaneLogix to optimize their operations, starting with a rate benchmark on their U.S.
Image source: Pexels | How Real-Time Inventory Tracking Can Boost Your Profit in 2025 In today’s fast-moving business environment, real-time inventory tracking has become a critical tool for optimizing operations, cutting costs, and driving profitability.
Image source: Pexels | Shipping Trends for 2025: What Will Change and How to Adapt The logistics industry is continuously evolving, and as we move closer to 2025, businesses will face a range of transformative changes. Studies predict that fuel costs may rise by 10-15% by 2025, making efficient routing a priority for logistics providers.
The study showed that the workforce problem is pervasive, with 76% of respondents indicating they are facing notable shortages. The study also provided insight into what companies are doing to address it. Delivery route optimization is the top tech choice to improve the productivity of labor workers.
Machine Learning, a Form of Artifical Intelligence, Has Feedback Loops that Improve Forecasting. Further, while artificial intelligence helps solve certain types of problems, Jay Muelhoefer – the chief marketing officer at Kinaxis pointed out – optimization and heuristics work better for other types of planning problems.
The Problem: A Supply Chain That Worked Against Them Like many importers, this client faced challenges that made logistics more complicated than necessary: Lack of Visibility No single source of truth for their air and ocean shipments. Improved Communication One expert handled everything, ensuring clear and consistent updates.
With rising supply chain complexity, organizations are racing to improve the pace and quality of decision-making. AIMMS has been in the market of prescriptive analytics (otherwise known as mathematical optimization) since 1989. Source: Gartner, Forecast Snapshot: Prescriptive Analytics Software, Worldwide, 2019.
I am wrapping up my Transportation Management Systems market study which looks at the total size of the market, the forecasted growth through 2025, and the leading suppliers across a number of categories including industry, region, and customer size. The study includes a holistic view of the TMS outlook. Cloud Solutions.
ARC Advisory Group, the company that I work for, releases a number of market studies on a number of technologies. These studies utilize a comprehensive bottom-up process for evaluating markets. This includes the entry of the order, sourcing, payments, and fulfillment. It also spans all channels of sales operations.
This streamlined approach ensures quicker issue resolution, enhanced troubleshooting, superior rate negotiations, and improved customer satisfaction. By leveraging advanced technology and systems, CLX enhances transparency and enables real-time updates for improved logistics management.
Whether that is the case or not, a brief study of the origins and progression of fleet route optimisation, covering the last three decades or so and looking forward to the near future, highlights in a spectacular way how technology, in particular, has revolutionised the business of logistics.
ARC has been actively studying industrial AI for over two years. Further, when they began thinking about a platform to detect and react to equipment anomalies, they realized those capabilities would support safety, better product quality, and production optimization. trillion records from 47 data sources in the Cognite platform.
According to a recent study by Pew Research study, 80% of consumers make online purchases, compared to just 22% in 2000. As cloud and SaaS continue to grow, companies will look toward their ERP to enable process improvements to meet today’s challenges. Kristi Montgomery, VP of innovation, Kenco. The Future of ERP.
Optimizing the supply chain in this sector is crucial for enhancing efficiency, reducing costs, and maintaining competitive advantage. Highlighting the Impact of Supply Chain Optimization in Oil & Gas Industry Understanding the tangible benefits of oil and gas supply chain optimization is essential for industry stakeholders.
Additionally, the logistics providers will optimize the fulfillment and delivery service under a white label service. Capstone ’s Last Mile service has the operational expertise and technology that gives grocery retailers an advantage over crowd-sourced delivery apps. Cub case study. Sean Coakley LinkedIn. Capstone Logistics.
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