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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.
Robinson customer research study” reveals that more than one third of shippers say they need more data to help them find savings on tariffs and duties, a rate which is three times higher than last year. Robinson has added a free software tool to its global shipper platform that lets its U.S.
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.
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.
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%.
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.
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.
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.
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.
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.
Whether its tracking reverse logistics, implementing financial software or upgrading sourcing solutions, collaborations and partnerships are what make supply chain projects a success. GSF also uses machine learning and data analytics to improve production outcomes. Meet the winners of this years Top Supply Chain Projects award.
Businesses will need to ensure accurate data reporting across core operations such as sourcing, procurement, and transactions. Big data sources, including bills of lading and other trade documents, are becoming increasingly crucial as proof points that sub-tier suppliers are not bad actors. from Canada and Mexico.
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.
They are applying predictive analytics and data science to choose an optimal response quickly, driven by facts and pre-defined business outcomes. In a recent study, almost three-quarters (74%) of shippers reported they would switch to 3PL providers based on their AI capabilities. billion to $23.07
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.
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?
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.
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 .
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.
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.
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.
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.
Here are a few primary services to understand and leverage for optimal food transportation and storage. Year-round temperature-controlled shipping can handle goods between 50-65°F for optimal quality. It’s worthwhile to find facilities that are food-grade and FDA certified to preserve product integrity.
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.
The company says the trials have the potential to significantly speed up the verification and interception of trespassers, thereby reducing delays to trains in a critical and very busy area, potentially also saving lives, as well as vastly improving the speed and efficiency of the U.K.
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.
The regulation is designed to provide European consumers with extensive data about the provenance of the items they purchase, all the way back to the sourcing of raw materials. Beyond the promotion of ethical sourcing, it’s also about “how we can extend the life of products,” Balaam says.
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.
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.
Trade Deficit Narrows by Most on Record as Imports Plunge Global Trade & Economics Ship Traffic Through Red Sea Remains Sparse, Despite Houthi-U.S. Truce Ocean Transportation Digital Edition SupplyChainBrain 2025 ESG Guide: Is ESG Still Relevant?
The research focused on the inventory visibility and optimization challenges that companies face today related to omni-channel fulfillment and the actions they should take to elevate their omni-channel performance. Source: “Omni-Channel Logistics Leaders: Top 5 Inventory Insights,” Adelante SCM & LEGACY SCS.
In ARC’s recent study of this software market, MIC was the largest provider of Global Trade Compliance (GTC) software solutions to the automotive industry. But in some industries, automotive is a prime example, these solutions enable optimal decision-making with respect to the impact of customs on business operations.
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.
Improving Leadership Retention and Stability Building a strong leadership pipeline requires an intentional approach. Spreading responsibilities across a team and providing administrative support can prevent burnout and improve retention. Driver satisfaction improves under strong leadership.
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.
For smaller fashion brands, as highlighted by Glossy , the financial burden of tariffs can be especially acute, often forcing them to absorb higher costs or shift their sourcing strategies entirely. China tariffs continues to evolve, impacting industries from tech to fashion. And with U.S.
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