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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.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer.
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. Now companies are trying to collect data from multiple tiers of a supply chain in near real-time. Decisions need to be digitized.
Kristina Bernarducci and Joe Lynch discuss delivering the drinks: streamlining beverage transportation. Her approach blends data-driven strategy with a human touch, helping companies solve complex problems while creating space for collaboration. Kristina and the Bettaway team are big supporters of Wreaths Across America.
In alignment with its end-to-end supply chain strategy, Blue Yonder will now be able to assist its customers in automating the collection and exchange of shipment data from logistics suppliers, facilitating accredited and traceable emissions calculations across all transportation modes, including air, inland (truck, rail, barge), and sea.
Road freight alone accounts for approximately 7% of global CO2 emissions, with maritime and air transport further amplifying the environmental burden. Proactively adopting cleaner energy sources ensures alignment with these evolving regulations. Reducing packaging volume and weight also decreases transportation emissions.
In “2025’s Top 100 3PLs: How Logistics Giants are Confronting Uncertainty”, Joe Lynch and Seth Clevenger , Managing Editor of Features and Multimedia at Transport Topics, discuss the Top 100 logistics companies, 2024 performance, changes to the list, and the trends impacting the industry. Clevenger, currently based in Alexandria, Va.,
SAP is embedding its generative Joule across the SAP Ariba source-to-pay solution portfolio to make it easier for their customers to manage routine inquiries, such as status updates, summarization, and frequently asked questions. Spend Management Takeaways SAP continues to invest in using generative AI to improve the user experience.
Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. In mathematical terms, optimization is a mixed-integer or linear programming approach to finding the best combination of warehouses, factories, transportation flows, and other supply chain resources under real-world constraints.
Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Excess inventory, stockouts, and increased transportation expenses are common consequences of outdated planning methods.
Shippers, brokers, carriers, news organizations and industry analysts rely on DAT for trends and data insights based on a database of $150 billion in annual market transactions. Real-time Market Insights: DAT provides real-time data on spot market rates, capacity availability, and lane-specific trends, enabling informed decision-making.
Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,
In today’s fast-moving supply chain environment, data is as valuable as the freight itself. With global transportation costs climbing and carrier networks becoming more complex, transportation spend management has become a strategic priority — not just a back-office function. However, this data often suffers from: 1.
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
That’s where data analytics comes in. It’s the key to transforming your supply chain from a source of frustration into a well-oiled, profit-generating machine. Modern supply chains thrive on real-time data, execution-focused applications, and dynamic decision-making. Ready to get started? Let’s dive in.
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.
Supply Chain Knowledge and Risk Mitigation: Suppliers have a direct impact on direct spend with raw material and transportation costs as two big drivers of operating margins. Ensuring that collaborative forecasts, VMI and OTIF data is captured through execution platforms and utilized as part of S&OP and S&OE is critical.
For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? In current systems where Distribution Requirements Planning (DRP) and Transportation Management (TMS) are different models, alignment is impossible.
Source: mainebiz.biz In today’s rapidly evolving logistics and supply chain sector, warehouses are increasingly turning to innovative technologies to gain a competitive edge. These automated systems are designed to perform tasks such as sorting, picking, transporting, and packaging goods with unparalleled efficiency and precision.
Kudos to the supply chain and logistics teams that have already adopted transportation management systems (TMS), warehouse management systems (WMS), and other digital solutions. They can ingest large volumes of functional data and leverage advanced intelligence to recognize broad trends and specific disruptive events.
Oracle Fursion Cloud Transportation Management offers a solution that allows transportation planners to see estimated emissions – carbon dioxide, nitrous oxides, and particulate matter – before a trip is executed. Transportation is, of course, a major source of green house emissions. That is more than any other sector.
Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Political instability has disrupted transportation corridors. For years, supply chains were engineered to be lean. But todays global environment is more unstable than it was a decade ago.
Let’s just come right out and say it – without the ability to capture, aggregate, and understand your supply chain data, you have gray area within your organization. The data locked in black boxes across your operating network causes you, and your network, to operate ineffectually. Your “story” is in your data.
It brings data that is stored in different silos across an organization all into one model. With the advent of true “single source of truth” inventory visibility , a digital twin is a more feasible goal than ever before. Are you a manufacturer wondering how best to leverage real-time data to elevate your business performance?
Proactive Security Measures:DAT employs a range of proactive measures, including multi-factor authentication, advanced monitoring tools, and regular security testing, to safeguard user accounts and data, and to prevent fraudulent activities like identity theft and double brokering.
Data fabrics, knowledge graphs, a digital thread, and digital twin technologies are critical. John Galt’s Supply Chain Planning Platform John Galt is right to single out data fabrics as an increasingly important technology. This creates a unified view by stitching together datasources in real time.
A data-driven, technology-enabled approach is required to build resilience and efficiency. The COVID-19 pandemic and ongoing geopolitical shifts demonstrated the risks of relying on single-source suppliers and minimal inventory buffers. This system is now being expanded to mid-tier suppliers and transportation rate negotiations.
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. Supply chain was defined in 1982 as interoperability between source, make and deliver. Ask a procurement or transportation professional if they have a good demand signal and expect a laugh.
The combination of SAP agent technologies and Databricks data fabric solution, sets the stage for end-to-end enterprise orchestration. Databricks offers a Data Intelligence Platform. Databricks type of solution is increasingly being called a data fabric or a data platform built on data fabric principles.
The partnership will explore the feasibility of transporting ammonia-based hydrogen to Germany and other European locations via floating import terminals. Infors NexTrace solution offers comprehensive traceability by collecting data from each supply chain tier, proving the provenance of every actor involved.
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.
Whether natural or man-made disasters, supplier or transportation issues, cyberattacks or regulatory changes, supply chain disruptions are a serious threat to operational efficiency, profit margins, and brand reputation. Disrupted trade While the trade war between the U.S.
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.
Matt Elenjickal, the Founder and Chief Executive Officer of FourKites, has pointed out that “data is the raw fuel of a digital transformation.” But it must be quality data! When enterprise implementations take longer than expected, almost all do, the amount of time needed to clean up the data is often the leading factor.
We have all our factories, both in-house and outsourced, all of our distribution centers, and our transportation network on the Blue Yonder foundational system. We can run a plan simulation to maximize revenue, maximize shipments, maximize the customer experience, or minimize transportation costs. We have full visibility.
The partnership will explore the feasibility of transporting ammonia-based hydrogen to Germany and other European locations via floating import terminals. Infors NexTrace solution offers comprehensive traceability by collecting data from each supply chain tier, proving the provenance of every actor involved.
The risks associated with chemical manufacturing include the storage and transportation of raw materials, finished products, and waste. We needed to model the data in a way that we can do simple searching. We spent hours and hours looking for data, whether it was for audits, compliance, or just basic troubleshooting.
Innovation Pillars: Diagnose: primarily powered by Infor Process Mining, this capability helps organizations gain visibility into business processes, uncover non-conforming variants, identify critical bottlenecks, and optimize operations based on data. This involves a Network Data Mesh for unlocking insights.
… Additionally, data visualization allows companies to drill down into the variances and see where to make adjustments. They write, “This includes tackling bigger issues such as compliance, supplier relationship management, risk and disruption, responsible sourcing, and transparency. ” Sourcing optimization.
Mike is the Head of Intermodal Solutions at SONAR, the leading freight market analytics tool and dashboard, aggregating billions of data points from hundreds of sources to provide the fastest data in the transportation and logistics sector. His experience also touched the truckload the domestic marine sectors.
Neal is the Chief Executive Officer and Co-founder of Farelanes, a company specializing in providing real-time lane pricing data for the logistics industry. About Neal Huffman Neal Huffman is the Chief Executive Officer and Co-founder of Farelanes, a company specializing in providing real-time lane pricing data for the logistics industry.
Table of Contents ** Minutes What is product sourcing? Where can I source products from? This makes it essential that buyers understand where they are sourcing their products from and how that ultimately affects their brand. What is product sourcing? Where can I source products from?
Use of order patterns to execute a route guide in Transportation Planning (TMS)–route planning, pooling of less than truckload, and load tender. First pass tender percentage in transportation planning. Channel data is usually located in the sales account teams, not used by the supply chain team. Be careful about the gaps.
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