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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. He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers.
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. Data-Driven Insights: Gain valuable insights into your marketing efforts.
“What’s the best way to use data to beat your competition as a freight brokerage business?” Freight brokers are continually looking for the latest and greatest ways to add value and keep costs under control through new freight brokerage software. Real-time data increases customer service. Download the White Paper.
Three months into 2025, we have seen a barrage of on-again, off-again tariffs that have supply chain and logistics teams reeling, as they must rethink everything from next weeks shipping route to their foundational network models. That may sound impossible, but new technology places this capability within the reach of every organization.
Multiple legacy systems prevent procurement from standardizing processes and tracking what they’re spending with each supplier. For global manufacturers, managing direct and indirect material spend can get very complicated very quickly.
Businesses will need to ensure accurate data reporting across core operations such as sourcing, procurement, and transactions. AI tools become more valuable when users can comprehend how the AI model arrived at its decisions. Consequently, demand for robust GTC solutions will continue to rise. from Canada and Mexico.
One essential tool used by the supply chain team is supply chain design. Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. Schneider Electric’s Journey with Network Design Lee Botham is the global director of modeling and network design at Schneider Electric.
Trillion Inventory Distortion Problem In this podcast, Karl Swensen, CEO and Co-founder of Pull Logic, discusses how their AI-enabled technology helps retailers, brands, and manufacturers reduce lost sales by addressing supply chain and selling process failure points. Summary: Solving the $1.8 Key Takeaways: Solving the $1.8
A New Model for Grocery Delivery with Sean Coakley. Sean Coakley and Joe Lynch discuss a new model for grocery delivery. Sean is the Chief Commercial Officer of Capstone Logistics , a leading provider of technology-enabled warehouse services, freight management, and last mile distribution solutions. About Sean Coakley.
While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. Research shows that the hiring process is biased and unfair. This eBook covers these issues & shows you how AI can ensure workplace diversity.
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Their day doesn’t begin with traditional routines but with diving deep into a digital universe where data alerts serve as guiding stars. End-to-End Supply Chain Planning Platform The end-to-end process begins with data. The result is an end-to-end planning process operating on the highest quality data possible.
Case Study | Project Based, Flatbed-Heavy Operation Solving Logistics Challenges: How A Supplier Reduced Freight Costs & Boosted Efficiency A leading supplier of industrial pallet racking systems faced rising freight costs and inefficiencies in managing oversized loads and complex budgets within their project-based, flatbed-heavy operation.
All companies and agencies above are heavily investing in technology and tools to deliver packages faster and more efficiently. Companies will become increasingly dependent on digital tools to sort, track, and mitigate issues at the border. Gallium and germanium are used in semiconductors. this year through October.
As businesses strive to stand out, leveraging data effectively has become a game-changer. One of the most powerful yet underutilized tools for achieving this is decile data analytics. What Is Decile Data? This is where decile data comes into play.
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. Therefore, unlocking the value of industrial data through AI requires a hybrid approach.
If there’s a bright spot anywhere it’s the fact that, as logistics challenges have grown, so has the availability of advanced technologies to manage these challenges. Digital control towers sit at the heart of the supply chain ecosystem, gathering real-time data on current conditions. Digital Control Towers. Warehouse Task Automation.
Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. ARC has been actively studying industrial AI for over two years. Agentic AI involves creating a system of interacting agents, each trained on a specific task or dataset. Celanese is an exception. Agentic allows for much greater flexibility.
Technology for All In a retail era dominated by e-commerce giants, customer expectations have shifted towards instant product delivery at no cost. To meet these demands and ensure superior delivery experiences, retailers and carriers must leverage last-mile delivery technology.
An experienced software developer, Troy is a proponent of “intuitive and beautiful products” who most recently lead the engineering team at Eloqua, acquired by Oracle. Troy grew up in Virginia and studied computer science at Fairmont State University. The coming together of two different CRM systems. Structured data.
Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. It was taxing to report above the country level with this tool. There was no global master data in place either.
How are companies leveraging scenario modeling for network design and optimization ? Current Technologies in Use for Supply Chain Network Design . The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. Read on for common use cases. .
When companies consider implementing enterprise software, standard operating procedure would be to look at a public company’s financials before deciding to implement the solution. If the software company is private, the prospective customer often asks for the right to view their financials. How can they be growing so fast?
By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. Instead of static data, AI-powered systems continuously update matrices based on real-time inputs like demand fluctuations and shipping delays.
The transportation, logistics, and energy storage sectors are undergoing profound transformation, driven by rapid technological advancements, evolving consumer expectations, and the global pursuit of sustainability. As supply chains transition to a more circular and sustainable model, M&A activity in this domain is expected to intensify.
I am wrapping up my Transportation Management Systems market study which looks at the total size of the market, the forecasted growth through 2025, and the leading suppliers across a number of categories including industry, region, and customer size. The study includes a holistic view of the TMS outlook. Better Technology.
More Resources Home Is AI Hype or a Truly Revolutionary Technology Set to Transform Logistics? (AI Like all innovations, however, developing technology as complex as the human brain requires time and significant investment.Here, too, the journey of AI began as far back as 1956 at a workshop on Dartmouth College’s campus in the U.S
The integration of drone technology holds the potential to revolutionize how businesses approach pest management, presenting both opportunities and considerations. However, the adoption of this consumer-driven technology faces hurdles, including technical limitations and regulatory concerns that must be navigated.
Technology is part of the problem. As Lora Cecere writes , systems are becoming more complex, “but the primary means to manage trade with network partners is through spreadsheets and email.” Selecting software for supply chain network design doesn’t have to be a hassle. Technology needs to be more accessible .
In a recent Forrester study, they found the problem to be poor quality data. Digitization is your friend, but quality data is your foundation. Markets are rapidly evolving with a continuous stream of new regulations, new technologies are disrupting traditional business models, and new risks such as cybersecurity are arising.
Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. I belong to this second division and work mostly on mathematical modeling, simulation and supply chain analytics. . The software supports scalability.
Quality and Detail of Data and its Analysis In some of our earlier posts, weve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It would be folly not to take advantage of data availability and accessibility.
He joined Tive after serving as CRO at two fast-growing Boston-based technology companies in Owl Labs and Drift (acquired by Vista Equity Partners). Josh Allen is the Chief Revenue Officer of Tive, a tech firm that provides location and condition data of critical shipments in real time to ensure on time and in full delivery.
The last thing you want is to find yourself saddled with a software partner that does not have the resources to support your growing business. That’s why financial viability is such an important topic to have when evaluating which software vendor is the right one to partner alongside. For example, look into their IPO status.
However, there is the difficult question of which technology to implement to make better use of your warehouse. Simulation technology is broadening possibilities for how warehouses evaluate their: Processes. Use of technology. Calibrating the model. So, how can you tackle this task? Physical space. Staffing requirements.
Chakri Gottemukkala, CEO at Supply Chain Planning Vendor o9 Solutions There are several young supply chain software companies that are unicorns. The company launched their platform in 2014. Based on ARC Advisory Group’s recently released study of the market, this puts them in the top 5. billion after a funding round.
Thanks to data gathering programs, supply chain software , and data entry applications, this represents a mountain of data, which has the potential to provide ground-breaking insight into how to improve business-model efficiency. What Is Supply Chain Big Data? How Does Big Data Improve a Supply Chain?
To truly leverage it to improve business performance and predictability, you need to embark on a change management process and you need the right technology to self-enable your team. Often, teams think they also need plenty of clean and accurate data to do it right. We were transitioning to work with different business models.
The three traditional methods are the use of a transportation management system (TMS), transportation execution system (TES), and managed transportation services (MTS). For each of these options, software and service providers need to set a clear path for success. Look to the Cloud. Improve Real-Time Visibility. Invest in IoT.
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Matrices are powerful mathematical tools that play a crucial role in supply chain management. They help businesses organize and analyze data, leading to better decision-making and improved efficiency. By organizing data into various matrix types, companies can perform calculations that reveal insights into their operations.
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Manufacturers and distributors want to dramatically increase their efficiency, productivity and accuracy through smart technologies, data analytics and connected services. These terms are often used interchangeably, and yet understanding the difference is critical in the move toward smart factories powered by digital technologies.
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