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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.
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.
Each technician visit, customer interaction and service delivery generates valuable data points. What is a data warehouse? What is a data warehouse? A data warehouse is a comprehensive system that collects, organizes and delivers business information in a way that makes it immediately useful.
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. Colgate-Palmolive: Leading in oral care, personal care, and home care.
Speaker: Fernando Penteado, CPSM - Supply Chain and Logistics Executive, Global Markets Expert, and International Speaker
Now, as a variety of disruptive events cause supply chain challenges, companies are contemplating bold moves to keep business moving, including moving sourcing and manufacturing closer to home markets and maintaining a larger reserve stock to help manage the fluctuations in supply and demand.
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.
Faced with the challenge of limited data availability, he co-founded Vizion, an API-first solution empowering cargo owners, freight forwarders, and software providers to achieve true supply chain visibility by tracking ocean freight in near real-time. With data refreshed multiple times daily, latency is reduced to 6 hours or less.
Our daily lives are inundated with data. Supply chain teams face a similar dilemma – companies are overloaded with vast amounts of data, and the ability to sift through the noise and focus on relevant insights has become a critical capability. of events and respond accordingly. To break through the noise requires context.
Companies use risk management software , like the Interos solution, to monitor and analyze supplier risk events in real time. These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when an adverse event has occurred or may be about to occur.
By plugging into a shipper’s TMS and surrounding systems, GoodShip unifies, contextualizes, and analyzes an organization’s most critical transportation data then automatically surfaces the top opportunities for optimization. Streamline your workflow from decision to execution, only with GoodShip.
Every company sits on a wealth of untapped data. On top of that, there are often persistent misconceptions about what it takes to collect, manage and take action on effective data strategy. Thats why were debunking the most common myths about data that might be holding your operation back from digging deeper. The reality?
FreightWaves’ SaaS product, SONAR, is 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. FreightWaves Events. Access to freight pricing insights. pageviews a month and over 1.5B
He is a regular speaker at industry events and has been featured in numerous publications, including FreightWaves, Transport Topics, and Logistics Management. He previously founded CarrierLists, a carrier sourcing platform that was acquired by Highway in 2022. Kevin is also a successful entrepreneur. The Greenscreens.ai
Our daily lives are inundated with data. Supply chain teams face a similar dilemma companies are overloaded with vast amounts of data, and the ability to sift through the noise and focus on relevant insights has become a critical capability. While the abundance of data is seen as an asset, the real question is: What do you do with it?
The key to this lies with sourcing. Before diving further, let us define what sourcing is. Sourcing is the practice of finding and selecting suppliers for a range of services (e.g., Traditional sourcing practices tend to be highly manual and are fraught with latencies and inefficiencies. Digitalizing sourcing (i.e.,
Increasing supply chain data visibility is a priority for logistics organizations looking to improve resilience. Supply chain recovery hinges on incorporating robust data analytics and other data-driven tools into business operations to increase efficiency, reduce costs and proactively manage risk.
An ERP system is a valuable asset for automotive distributors looking to leverage the data they create and use. An ERP provides a central repository for all a distributor’s data. The data can be used to identify inefficiencies in the supply chain, improve inventory management, and streamline operations.
They can ingest large volumes of functional data and leverage advanced intelligence to recognize broad trends and specific disruptive events. They are applying predictive analytics and data science to choose an optimal response quickly, driven by facts and pre-defined business outcomes. billion to $23.07
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. Consumer demand for ethical sourcing is also influencing corporate procurement strategies.
Data is the lifeblood of AI in the supply chain. Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem.
Edge Hardware: The battle for edge hardware also intensified in 2024, as companies sought to deploy AI capabilities closer to the source of data. OpenAI’s “12 Days of OpenAI” event showcased its continued efforts to enhance its competitive position in the AI market. billion in funding.
Each presentation was exceptional, and the event viewed ESG from a holistic but pragmatic perspective. They will handle providing accurate data across their operations, including product sourcing, procurement, and transactions, to name just a few.
Global supply chains have been tested repeatedly by a series of disruptive events, including the COVID-19 pandemic, U.S.-China Companies that previously prioritized cost-cutting and centralized sourcing quickly found themselves exposed to serious production and distribution risks. China trade disputes, and natural disasters.
The resilience of your supply chain is determined by its structure and operations, whether we’re dealing with major immediate events like a pandemic or gradual systemic changes to your business environment over time. Once this exercise is completed, your company can then assess the risk from tier-two suppliers onwards.
The occurrence of any of these events disrupts the global supply chain and can deeply impact profitability. One event could create so much churn, Mr. Al Syed explained. We needed to model the data in a way that we can do simple searching. This ends in a spaghetti approach to data integration. Data does not move.
billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions. It creates a single source of truth for your rate management, automating RFQs and streamlining the entire procurement process.
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.
This was an intimate, packed 2-day event with executives, customers, other market analysts, and additional Infor team members. The event began with an address from the CEO, Kevin Samuelson, and CTO and President, Soma Somasundaram. This involves a Network Data Mesh for unlocking insights.
How do you best determine how long and how often to have transportation sourcingevents? The good news is that companies today have greater access to real-time benchmarking data and market intelligence. Read more [Video] Why Benchmarking is the First Step to a Successful Freight Procurement Event.
Supply chain intelligence and actionable insights must apply the most accessible, near real-time data available. Analytic data resources for brokers are great, but it’s equally important to realize that FreightWaves SONAR is much more than a broker-exclusive resource. Market dynamics of freight management can turn on a dime.
Smart factories use IoT-enabled technologies like sensors and smart machines to generate data, often in real-time, to improve information about production processes and help decision-making. Together MOM and MES provide the intelligent systems to collect, deliver and analyze production data to empower industry strategy and smart factories.
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.
Table of Contents [Open] [Close] Significance of Last-Mile Delivery Optimization Implementing Innovative Strategies The Role of Data Analytics Sustainability: A Necessary Focus 1. Data-driven approaches, such as predictive analytics, facilitate real-time adjustments in delivery operations. Electric and Alternative Fuel Vehicles 2.
With two more major shipping leaders actively sharing information, data on nearly half of the world’s ocean container cargo is now available on a single blockchain-based data platform. billion events and roughly 13 million published documents. Moller – Maersk ( MAERSKb.CO ).
She has led programs ranging from acquisitions to technology deployment with a strong focus on lean manufacturing and data management. Socio-political events like trade wars and political upheavals around the world. Companies will need to implement solutions that give this data in real-time or in the shortest time possible.
Factory fires were the most frequent event type in the first half of 2018. In the first half of 2018, Resilinc notified a record 1,069 events within a six month period, the highest since Resilinc began monitoring in 2010. Of those events, more than 300 of them directly impacted the continuity of supply.
As Freightos Procure , we’ll continue to innovate and enhance our enterprise procurement solutions, helping you optimize freight spend, streamline RFQs and tendering processes, and make data-driven decisions with confidence. SHIPSTA, now integrated into Freightos Procure , continues to lead the way in agile procurement solutions.
Organizations must take the following steps to bring departments together to create truly resilient and sustainable supply chains: Leverage external data to sense market shifts Look to external causal factors and forecasting models to identify market shifts. By identifying these gaps, you can create sourcingevents to close them.
Bouncing back more quickly, said experts, will require supply chain managers to turn to new ways of managing the supply chain, including using Internet of Things (IoT) data, analytics and machine learning (ML). And “it’s a great tool,” but there are more sophisticated, more accurate tools to do sourcing.
These are not static dashboards or simple visualizationstheyre living, data-rich models of real-world operations. Transportation Scenario Modeling A global logistics provider developed route-level digital twins, integrating driver availability, traffic, and vehicle data. Thats where digital twins come in.
Supply chain disruption has many sources: tariffs and trade disputes, natural disasters, pandemics, economic uncertainty and cybersecurity attacks. There won’t be a new normal, just new sources of disruption, from weather to government policies to industry conditions. The average cost of a data breach reached $3.86
By fostering closer relationships with suppliers and partners, businesses can ensure a more agile response to unforeseen events. AI can analyse data from various sources to predict potential disruptions, such as weather events or geopolitical tensions, allowing businesses to take proactive measures.
Moving merchandise means contending with hurricanes, pandemics, geopolitical events, unexpected demand, human errors, labor shortages — and the list goes on. Single-source Shipping — A 3PL like ShipMonk can handle both incoming freight shipping as well as DTC or B2B shipments to end customers. Why is that?
Despite their best efforts, current events and market dynamics caught up with them, leading to issues managing their suppliers and sourcing the materials needed for their products. If nothing else, the last few years highlighted the importance of sourcing strategically. Upcoming Recession? Price Volatility.
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