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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.
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.
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.
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.
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.
(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.
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.
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.
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?
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.
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.
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 year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.
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.
This added responsibility for companies will have lasting effects on business operations, corporate partnerships, supply chain logistics, compliance requirements, and data integrity. Regulations requiring Scope 3 emissions data from companies, create an end-to-end value chain reporting issue.
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.
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.
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?
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.
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.
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.
When a critical Tier-2 supplier is affected by a tariff policy change or regional shutdown, the ripple effects often catch manufacturers by surprise. These simulations are especially valuable when theyre integrated into digital twinsreal-time models of supply chain networks that reflect current data and assumptions.
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
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.
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.
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.
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.
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.
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?
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.
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.
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.
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.
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
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.
This state-of-the-art platform integrates advanced data analytics, real-time monitoring, and compliance features to deliver actionable insights for OEMs and the entire battery ecosystem, including material suppliers, cell and module manufacturers, and recyclers.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supply chain operations. This setup allows teams to collaborate in real time, sharing video and diagnostic data across geographies. Next lets look at technical capabilities and applications in the domain.
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.
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.
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.
Drip Big Data. To use optimization, the data had to be cleaned and stored in pristine condition in a data jail (rows and columns of traditional database technologies). The good news is that in the last year, Kinaxis, OMP, and O9 have fundamentally changed their architectures to use semi-structured data. Industry 4.0.
This capital will help scale the company’s Shared Autonomy Platform and expand manufacturing for its TWA Reach forklifts, which integrate AI-driven autonomy with human oversight to optimize labor and safety in warehouse operations. The data is accessible to state U.S.
Medical and pharmaceutical manufacturers have faced increasing logistical challenges over the past two years. Amid significant regulatory and compliance changes around the world, they've had to contend with massive supply chain disruptions caused by the pandemic. Increasing demand for specific products is also causing supply chain shortages.
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