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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.
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.
At the recent ARC Forum 2025, Rachelle Howard, Director of Manufacturing Systems Automation and Digital Strategy, showcased how Vertex strategically blends advanced technology with a strong people-focused culture to boost manufacturing and supply chain agility. However, technology was only part of the story.
manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. A Fortune 500 retailer, for instance, reduced its procurement cycle time by 30% by leveraging an AI-driven tool to analyze supplier data efficiently. For example, U.S.-based
Even global manufacturers –– companies across industrial, automotive, chemical, and energy industries –– are scrambling to mitigate the impacts of labor, material and energy shortages, delays, inflation, and unexpected events. It’s not just small and medium-size businesses that are caught off guard.
(TSX: KXS) an end-to-end supply chain orchestration, today announced a new partnership that will deliver improved alignment of supply chain plans with business objectives and strategies for midmarket discrete manufacturing companies. Were thrilled to partner with Infor to help manufacturers be more agile and resilient in the long term.
Treating suppliers as essential partners in the field of direct spend management—almost like customers—can be a key component of a successful company strategy. Or they may have expertise in manufacturing processes and have flexible capacity to allow contract manufacturing for new product introduction.
Scaling manufacturing operations is crucial for business growth but presents unique challenges. Balancing increased demand with consistent quality and controlled costs is difficult but essential for manufacturers looking to expand. Successfully scaling manufacturing requires more than just adding resources.
Throughout 2024, manufacturers were on a high-speed journey packed with technological advancements. That pace is set to continue in 2025 as ERP systems continue to transform the way manufacturers operate. An ERP strategy to optimize the potential of the innovations on offer is critical for manufacturers across the globe.
Speaker: Andrew Kurpiel - AmerCareRoyal | Bill Benton - GAINS | Paul Benhamou - Benco Dental
To accomplish this, you must evaluate and act on real-time data. Leading distributors and manufacturers are finding success in today's challenging environment by leveraging data and insights. The turbulence in today’s supply chain requires you to react faster and make continuous adjustments.
Resilience is the ability to respond to disruption while maintaining core operations, and more companies are shifting their strategies accordingly. Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. Finally, rigid fulfillment networks compound the problem.
That’s the power of manufacturingdata collection. Data transforms operations. Manufacturingdata collection is your secret weapon for boosting efficiency, cutting waste, and staying ahead of the competition. Let’s dive in and unlock the potential of your manufacturingdata.
The past year and a half saw manufacturers face unprecedented challenges resulting from global disruptions, to which they responded by repurposing or developing new product lines, reconfiguring their plants and restructuring their supply chains in order to meet changing demands and keep afloat amidst uncertainty.
Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. AI as a Predictive Tool AI-driven supply chain planning integrates machine learning, real-time data analytics, and external risk monitoring to anticipate disruptions before they materialize.
Speaker: Trish Uhl, Founder of Owl's Ledge LLC and the Talent & Learning Analytics Leadership Forum
Join Trish Uhl, creator of the Learning Systems Engineering Framework™, as she shares secrets from the playbook she crafted to address these challenges while consulting on a global supply chain standardization and digitalization traceability project for the world's third largest food manufacturer.
Kara is the Founder and CRO of LeadCoverage , the premier B2B marketing and PR firm dedicated to helping logistics companies increase lead generation through targeted marketing strategies and media coverage. Kara’s new book “The Revenue Engine” offers readers a guide to effective revenue-generating strategies.
Edge Hardware: The battle for edge hardware also intensified in 2024, as companies sought to deploy AI capabilities closer to the source of data. This puts pressure on other device manufacturers to follow suit. Microsoft plans to use Fungibles DPUs to accelerate the performance of Azure IoT Edge and other edge AI solutions.
Yes, a time when well-meaning supply chain leaders share their strategy decks for the upcoming year and ask me for an opinion. How do we seamlessly connect outcomes from optimization to policy, strategy, and rules? Why can we not use disparate data–pictures, streaming data, and unstructured data–to sense and respond?
Enter the industrial data scientist, a new breed of data analyst with access to more industrial data than ever before and the advanced technology to translate that information into actionable intelligence. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment.
Patch & Update Devices: Software manufacturers are constantly discovering new flaws, bugs, and weaknesses in their code. Backup Data & Systems: Use a 3,2,1, strategy to back up data. Have 3 copies of your data, in 2 geographically dispersed locations, and 1 location off of your network. Just as you are.
In todays rapidly evolving global landscape, supply chain resiliency has become paramount for product manufacturers striving to maintain a competitive advantage and ensure long-term success. This statistic is a stark reminder to product manufacturers of the necessity to anticipate and mitigate potential disruptions.
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.
Logistics strategy as an enabler of new business models. They promoted logistics to the level of core process and enabler of new business models and now view a thought-through logistics strategy as an opportunity to stand out by offering a better service level to their customers, such as same-day delivery. Automation as key for growth.
Last year, Chinese customs data show no shipments of wrought and unwrought germanium or gallium to the U.S. These tariffs, implemented to counteract what the EU perceives as unfair subsidies, do not apply to hybrids, prompting manufacturers like BYD and Geely to focus on plug-in hybrids and conventional hybrids for the European market.
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.
“To improve,” the report rightly notes, “organizations should enhance supply chain visibility with robust data and analytics; use AI to foresee disruptions; keep business continuity plans current; and diversify supply sources, suppliers, manufacturing and logistics partners.”
By integrating Nauto’s AI-powered Video Event Data Recorder (VEDR) solution with Beans.ai’s precision location data and micro-routing technology, the collaboration offers a comprehensive solution tailored to meet the needs of last-mile deliveries, including VEDR compliance. Nauto and Beans.ai
Infor’s CEO, Kevin Samuelson Infor’s strategy for differentiating their business from competitors like SAP and Oracle rests on a truly differentiated approach to ensuring that their customers get ongoing value from the business applications they purchase. Infor, with anticipated revenues of $3.4 We just want them solved.”
How Inflation Impacts Procurement Inflation affects a number of aspects of a business, including its ability to compete in the market, financial performance, and overall strategy. In order to stay ahead of inflationary trends, procurement teams need to be proactive and continuously adjust their strategies. Let’s explore further.
How AI is Transforming Manufacturing: Strategies, Benefits, and Use Cases Artificial Intelligence (AI) is a huge topic and one that is constantly changing as research and development efforts push out the boundaries of whats possibleand whats already happening! Manufacturers now generate and own vast volumes of it.
The shortage has not impacted Charlottesville’s other major healthcare provider, Sentara Health as this organization sources its IV solutions from a different manufacturer. Data shows that Chinese car brands are quickly growing in sales representing over half of Russia’s new car sales.
In todays rapidly evolving manufacturing landscape, building a modern tech stack is not just a strategic advantage but a necessity for maintaining competitiveness. Through partnerships with Arena, Rootstock, and Tulip, they leverage plug-and-play connections to easily flow data across these PLM , ERP , and MES systems.
That tightly integrated advanced planning (APS) coupled to Enterprise Resource Planning (ERP) using order data is sufficient. Functional Metrics and the Lack of Alignment to Strategy. Few companies are clear on the number of supply chains they operate, design the rhythms and cycles of each, and align metrics to the strategy.
In this comprehensive guide, we’ll explore the key elements of warehouse optimization and provide actionable strategies you can implement today. Eight proven optimization strategies, combining technology, best practices, and sustainable solutions. Data-Driven Decision Making : Using analytics to continuously refine operations.
For stakeholders navigating this environment, understanding key industry drivers, challenges, and future trends is critical for crafting effective strategies. Companies are proactively acquiring electric vehicle (EV) manufacturers, battery storage providers, and related infrastructure firms to embed sustainability into their operations.
Data fabrics, knowledge graphs, a digital thread, and digital twin technologies are critical. However, Alex Pradhan, the global product strategy leader at John Galt Solutions, talks differently about what her company sees in the market. This creates a unified view by stitching together data sources in real time.
IoT: Powering the Future of Digital Product Passports The Internet of Things (IoT) continues to impact how industries track products and manage data. This network of devices enables seamless, automatic data collection from physical objects in near real-time.
Patch & Update Devices: Software manufacturers are constantly discovering new flaws, bugs, and weaknesses in their code. Backup Data & Systems: Use a 3,2,1, strategy to back up data. Have 3 copies of your data, in 2 geographically dispersed locations, and 1 location off of your network. Just as you are.
Case Studies: Achieving Supply Chain Excellence Shamir Optical Industry Shamir Optical , a global leader in prescription lens manufacturing, implemented probabilistic forecasting to enhance service levels while reducing inventory investment. Early Demand Pattern Detection : Identifies trends before they emerge in historical data.
Case Studies: Achieving Advanced Supply Chain Planning Shamir Optical Industry Shamir Optical , a global leader in prescription lens manufacturing, implemented probabilistic forecasting to enhance service levels while reducing inventory investment. Early Demand Pattern Detection : Identifies trends before they emerge in historical data.
In this commentary we focus specifically on the importance of a broader end-to-end data management framework while overcoming the fragmentation of data that is locked in separate, unconnected software applications.
In manufacturing, performance improvement, cost reduction and process optimization are crucial. Manufacturers have adopted innovative solutions and technologies to deal with these issues. There is no question that AI and ML will have important roles in shaping the future of manufacturing ERP. What is AI and ML?
… Additionally, data visualization allows companies to drill down into the variances and see where to make adjustments. That’s exactly what Kyle Krug , Vice President of Corporate Strategy & Marketing at Legacy Supply Chain Services, suggests. ” Manufacturing optimization. ” Logistics optimization.
A data-driven, holistic approach is essential to ensure that organizations stay agile, cost-effective, and resilient during times of uncertainty. In this blog, well explore key strategies to enhance supply chain resilience and highlight how services like those offered by ModusLink can help businesses navigate these challenges effectively.
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