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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.
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. Those can include suppliers, contract manufacturers, logistics service providers, customs brokers, governmental agencies, and other participants.
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.
If your systems are disjointed and you lack the ability to analyze masses of data in real time, you will struggle to deliver on-time, in-full and your reputation and revenue will be negatively impacted. This blog is Part 1 in our Optimizing Supply Chain Performance with Unified Data series, with a focus on optimizing fulfillment.
For global manufacturers, managing direct and indirect material spend can get very complicated very quickly. In response to these challenges, a leading heavy equipment manufacturer selected GEP to redesign its source-to-contract processes and implement a convergent data model to help manage procurement data across its multiple locations.
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.
The manufacturing and distribution industries are on the brink of a transformative era, characterized by unprecedented technological innovation, sustainability imperatives, and global economic shifts. Here are 7 key trends to watch for that will define the future of manufacturing and distribution.
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.
(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.
Continual technological changes necessitate adjustments to manufacturing and supply chain processes, leading to a heavy volume of contracts that outpaces most industries. The high-tech and telecom sectors face a contract management crisis if the process isn’t managed properly. What can CPOs do to ease the contract management burden?
The big data architectures are often present in the current “AI offerings.” The use of python and big-data architectures enables the ingestion of unstructured and streaming data that can move the model from inside-out (using enterprise data) to outside-in (use of market data).
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.
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.
Running a manufacturing business isn’t easy. That’s where a manufacturing ERP comes in. Manufacturing ERP (Enterprise Resource Planning) software integrates all your core business processes into one powerful platform. It’s a lot to handle. Let’s get started.
This Gartner report, provided complimentary of TadaNow, provides answers to questions that Supply Chain leaders in Manufacturing companies have –– from definitions and scope to framework, how to leverage it all, and best practices. Create –– What are the steps manufacturing organizations need to build a control tower? Technology.
I helped a manufacturer of men’s underwear grow its market share by testing price points and assortment on Amazon before the launch in brick-and-mortar stores. I love mining multiple forms of unstructured data to develop a customer listening post. Pattern Recognition and Role-Based Alerting on Supply Chain Planning Master Data.
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.
At a division of one of the world’s largest consumer goods companies, 85% autonomy on manufacturing plans and 95% acceptance of proposed purchase orders has been achieved. The platform collects data and makes sure the master data is internally consistent. If a user makes changes to the plan, they log that data.
Or they may have expertise in manufacturing processes and have flexible capacity to allow contract manufacturing for new product introduction. An example of this is Vendor Management Inventory and Capacity Collaboration for contract manufacturing.
As organizations become more data driven, their analytics requirements grow. The expectation to do more with their data becomes a moving target for them and the applications that serve them. To stand up to the challenge, applications must evolve to accommodate their users and ensure their success. But what do users really want?
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.
The high-tech firm is more than a manufacturer of PCs, tablets, smartphones, and servers. The company has more than 2000 suppliers and operates over 30 manufacturing sites. It might highlight logistics jams, manufacturing capacity, quality issues, or procurement cost trends. We can now have really good data-driven conversations.
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.
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.
According to Deloitte and The Manufacturing Institute, the labor shortage will cost the U.S. Why streamlining data simplifies the logistics role. The difference between real-time data tracking vs. passive data logging, and why the former is key to efficient operations. as much as $1 trillion, and 2.1
Manufacturers are now able to choose a different deployment method cloud ERP as the backbone of their digital transformation strategy. There are many other benefits of cloud ERP for mid-size manufacturers. For manufacturers, cloud ERP can reduce the total cost of ownership and decrease maintenance costs.
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.
Data-Driven Decision Making : Using analytics to continuously refine operations. This data should come from a system that can track multiple, moving parts and integrate with existing technologies. If you are using a legacy system, switching to an automated data collection solution like RFgens IMS may be the first step.
For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? The history of this research effort with Georgia Tech ISYE uses Y-Chart data. The data outcome is open source and can be used to improve project outcomes.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
♻️ Manufacturing corporations across the U.S. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount.
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.
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.
This ambitious initiative is set to transform various aspects of the supply chain, from manufacturing and job creation to research and development, infrastructure upgrades, and sustainability efforts. Manufacturing and Job Creation Apples plan to create thousands of new jobs and expand its manufacturing capabilities within the U.S.
Ibrahim Al Syed, the director of digital manufacturing at Celanese, was surprisingly forthcoming about how Celanese developed these capabilities at ARC Advisory Groups 29th Annual ARC Industry Leadership Forum. The company has 55 manufacturing sites across the world. We needed to model the data in a way that we can do simple searching.
From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production. Inconsistent data on safety stock levels.
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.
Molex is a global electronics manufacturer that makes and sells over 100,000 distinct products – connectors, cable assemblies, and a wide variety of other products. They sell to the automotive, data communications, medical, industrial, consumer electronics, and other industries.
The consumer goods manufacturing and grocery vertical was also particularly strong. Blue Yonder and Agentic AI Blue Yonder announced they were working with Snowflake, a company providing an enterprise data fabric solution, to transform access to disparate data for supply chain management in March of 2022.
Employees Cannot Get to the Right Data at the Speed of Business A war is raging between Oracle, Salesforce and SAP to automate supply chains. Technology can automate role-based views up and down the river of demand for all roles: marketing, sales, finance, manufacturing, procurement, transportation, and human resources.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-driven decisions—without losing the value of human insight! Register today!
The Salesforce.com model is primarily a pipeline management tool suitable for discrete markets but not process manufacturers. Relex will continue to do well in the retail market but will struggle to be a serious player in manufacturing due to the lack of thought leadership. Will this change the market? I don’t think so.
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
The book goes beyond theoretical concepts and serves as a playbook for crafting data-driven go-to-market strategies. Company specializes in crafting GTM strategies that are grounded in data – backed insights and sophisticated mathematical models. Kara’s achievements extend beyond her corporate success.
Supply chains, which facilitate the movement of products from manufacturers to consumers, have historically encountered issues such as inefficiency, fraud, and a lack of transparency. Companies find it difficult to fully trust the data from suppliers, complicating efforts to ensure product authenticity, safety, and ethical sourcing.
In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. With Logi Symphony, you’re not just overcoming obstacles, you’re driving innovation in manufacturing and supply chain.
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