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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.
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.
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.
Speaker: Fernando Penteado, CPSM - Supply Chain and Logistics Executive, Global Markets Expert, and International Speaker
The still-persistent effects of the pandemic have made it clear that the skills and tools that characterize traditional S&OP are not enough to respond to unprecedented interruptions.
Truck N’ Hustle provides the news, stories, resources, and tools for transportation and logistics professionals to be successful in the trucking business. About FreightFest 2023 FreightFest 23 , presented by Truck N’ Hustle, is an eagerly anticipated event in the Trucking, Transportation & Logistics industry.
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.
The following Google Cloud solutions were discussed: Supply chain twin is a digital representation of a company’s supply chain with end-to-end visibility, alert-driven event management, analytics, and collaboration across teams. Manufacturing Data Engine and Connect. Document.ai Document.ai Learn More About Google Cloud Supply Chain.
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. pageviews a month and over 1.5B monthly impressions. Mary on LinkedIn.
Edge Hardware: The battle for edge hardware also intensified in 2024, as companies sought to deploy AI capabilities closer to the source of data. The goal of these platforms is to provide a versatile set of tools for training, validating, and deploying AI models across a wide range of use cases. billion in funding.
Krenar Komoni has developed breakthrough ideas in data analytics, logistics, and electronics design for nearly 20 years. Tive is a cloud-based platform that uses IoT sensors to capture critical real-time shipment sensor data as products are shipped worldwide. About Krenar Komoni. Key Takeaways: The Tive Story.
Most supply chain and logistics teams have recognized that the only way to combat todays incredible level of uncertainty is by adopting and applying digital tools. The pace and scope of supply chain disruption are beyond human cognition, manual analysis, and consumer-grade spreadsheet tools. billion to $23.07
A data-driven, technology-enabled approach is required to build resilience and efficiency. AI-driven procurement tools streamline supplier negotiations, ensuring cost savings and efficiency. AI-powered monitoring systems can analyze supply chain data to identify areas for emissions reduction and sustainability improvements.
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.
But by implementing data driven maintenance strategies these cost, performance, and environmental impacts can be greatly reduced. An intelligent data-driven approach Maintenance doesn’t have to be this arbitrary. None of this is good for sustainability.
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?
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.
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. iPaaS provides a comprehensive set of tools for connecting applications.
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.
To solve this problem, we’ll need to do three things: understand the data, aggregate the data, and define the constraints. First comes the data and how well we understand it. Do we have a demand forecasting tool in place and, if so, how good is that forecast? Can every customer get products from every warehouse?
Some businesses lack the bandwidth or staff to attend, some have strict travel bans in place, some don’t have the discretionary spend, and others simply do not feel safe going to an in-person event in the foreseeable future. While the ability to quickly adapt plans or to manage a crisis is second nature to an event or meeting planner (e.g.
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.
For instance, fixed slotting strategies assign products to specific locations based on historical data rather than dynamic needs, and hardcoded rules assign specific tasks to workers based on static roles or zones, rather than dynamically allocating tasks based on workload or real-time conditions.
These are not static dashboards or simple visualizationstheyre living, data-rich models of real-world operations. Traditional planning tools often lack the agility to respond in real time. Step 2: Map the Data Ecosystem Digital twins depend on data integrity. Thats where digital twins come in.
Global supply chains have been tested repeatedly by a series of disruptive events, including the COVID-19 pandemic, U.S.-China However, recent disruptions including health crises, trade disputes, logistics bottlenecks, and climate-related events have exposed significant vulnerabilities in this model.
The opensource LLM is posttrained with NVIDIA and ServiceNowprovided data, helping deliver lower latency, lower inference costs, and faster agentic AI. The model was trained using NVIDIA NeMo , the NVIDIA Llama Nemotron PostTraining Dataset, and ServiceNow domainspecific data with NVIDIA DGX Cloud on Amazon Web Services (AWS).
By integrating Nauto’s AI-powered Video EventData 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
billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions. billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. 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.
We have all the connected planning data we get from blue Yonder, all of the product data we get from the product systems, all of the shipment information that’s coming in from the carriers, as well as risk information from Everstream and other sources. This was meant to be an internal tool for Lenovo.
Real-Time Tracking and Visibility : DGL offers state-of-the-art tracking tools that give you real-time visibility into the status of your shipments. This data allows supply chain managers to make quick, informed decisions in the event of a disruption, avoiding potential bottlenecks.
Krenar Komoni has developed breakthrough ideas in data analytics, logistics, and electronics design for nearly 20 years. Tive is a cloud-based platform that uses IoT sensors to capture critical real-time shipment sensor data as products are shipped worldwide. About Krenar Komoni. Key Takeaways: The Tive Story.
In this article: Disasters disrupt plans: Effective response is critical, but unexpected events create chaos. Rastrac empowers disaster response: GPS tracking and fleet management tools enhance situational awareness, optimize resources, and streamline communication. Meet Rastrac at Disasters Expo: Learn how to be disaster-ready.
Together, they break down the latest shifts in rates, the current state of capacity, and how unexpected weather events , like the rare snowstorm in North Florida, are affecting shipments across the country. The Role of Technology : How data, AI, and visibility tools are helping companies stay agile in an ever-evolving environment.
Data represents an integral part of daily life for most people, and it is no different within the transportation industry. That insight into how freight logistics and optimization rely on data and understanding the full picture is critical to making the best improvements in supply chain route optimization too.
As Josh Dritz, VP of Operations Technology and Automation at Messen Medical Surgical, pointed out, Geopolitical factors, extreme weather events, labor issues, and pandemics are just a few of the challenges that constantly threaten supply chains. Use tools to automate root cause analysis and reduce dependency on manual reporting.
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.
Generative AI is first trained on a foundational model and then fine-tuned with human feedback and additional data. Its responses are based on data it has consumed and a resultant powerful prediction mechanism. Public AI is great to use for idea generation, but only put in anonymized data, that’s if you put in any data at all.
There is limited value to running an outdated process faster, and that value drops considerably when significant portions of the process run outside the enterprise tools. For impactful scenario planning, planners must spend time on analysis rather than collating data and manually creating scenarios.
Sphera said its tool gives businesses information regarding lead times for sourcing raw materials, risk events and real-time data on potential supply chain disruptions.
is the Artificial Intelligence (AI) Supply Chain pioneer that enables companies to optimize their Operations by leveraging their existing Data Systems to increase Output, Quality and Profitability across their entire enterprise. ThroughPut Inc. Increasingly, consumer demand was moving from traditional retail to ecommerce.
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.
FreightWaves’ news, content, market data, insights, analytics, innovative engagement, and risk management tools are unprecedented and unmatched in the industry. It will be a vibrant event with lots of really good speakers. Most of the data that has been available to freight brokers is weeks old. FreightWaves’?
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