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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. Adamo has been quoted in the Wall Street Journal and extensively in trade publications as a leading voice on freight market trends.
Freight Tech Trends with Mike Mulqueen. Mike Mulqueen and Joe Lynch discuss freight tech trends. His functional expertise is in Multi-modal Transportation Management, Supply Chain Visibility, and Transportation Modeling. Key Takeaways: Freight Tech Trends. Trend 2 : Migration of on-premise solutions to the cloud.
Freight Tech Trends with Mike Mulqueen. Mike Mulqueen and Joe Lynch discuss freight tech trends. His functional expertise is in Multi-modal Transportation Management, Supply Chain Visibility, and Transportation Modeling. Key Takeaways: Freight Tech Trends. Trend 2 : Migration of on-premise solutions to the cloud.
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The future of retail belongs to those who can stay ahead of shifting customer preferences and marketing trends. Whether you’re refining your customer journey or exploring ways to personalize engagement, we’ll provide insights that help you create adaptable models that move as fast as the market does.
Logistics warehouses that prioritize flexibility, operational efficiency, and throughput will be able to secure long-term growth, meet client demands, and stay ahead of evolving industry trends. It allows operations to remain competitive even in unpredictable market conditions and supports a variety of business models and client needs.
They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models. Amazon is a leader in AI-driven supply chain management.
Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Specifically, we looked at three use cases for scenario modeling using our cloud-based IBP app. The post IBP Scenario Modeling for Recovery, Restructuring and Resilience appeared first on AIMMS SC Blog.
For stakeholders navigating this environment, understanding key industry drivers, challenges, and future trends is critical for crafting effective strategies. As supply chains transition to a more circular and sustainable model, M&A activity in this domain is expected to intensify.
Image source: iStocks | Top 7 Most Impactful Logistics Trends to Watch in 2025 As another year comes to an end, managers and business owners are dedicating themselves to a crucial stage in the success of any business: evaluating what worked and what can be improved in their operations.
The solution is to back up, figuratively speaking, to the general definition of the need and see how overall trends and developments in the world could make this need map onto other, different solutions. In addition, companies may also have to contend with a new form of marketing myopia. As the saying goes, if you cant beat them, join them.
Predictive analytics, fueled by vast datasets including historical sales, market trends, and weather patterns, enables businesses to optimize inventory levels with precision, reducing overstock or shortages and ensuring customer satisfaction through accurate demand forecasting.
How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.
In this comprehensive overview, we highlight the most popular articles from Logistics Viewpoints in 2024, showcasing the key trends and innovations that have shaped the industry.
In his role Nathan utilizes Flexport’s global logistics performance data to define short and long term ocean operations strategies that optimize carrier and port performance. Companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to optimize their supply chains, and deliver for customers anywhere in the world.
Recent disruptions have exposed significant vulnerabilities in traditional models, driven by geopolitical instability, fluctuating demand, and operational inefficiencies. Just-in-time (JIT) inventory models, lean supplier networks, and offshore manufacturing reduced expenses but left companies exposed to disruptions.
Datacenter Hardware: The demand for powerful computing to train ever larger and more accurate AI models is insatiable. AWS , Google , and Microsoft are also investing heavily in custom AI chips to reduce their dependence on NVIDIA and optimize performance and cost. Google is also reportedly working on its own Arm-based chips.
Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g., Here are some specific use cases: Demand Forecasting AI Agents can analyze historical sales data, market trends, and real-time demand signals to predict future demand accurately.
It can be a direct reflection of current market trends, as many publicly traded companies operate within the global supply chain. Three technologies have emerged as game-changers for third-party logistics (3PL) and supply chain experts: large language models (LLMs), freight optimization platforms and no-code automation.
PlanIQ pulls in data from Anaplan and automatically tests several AI/ML algorithms before selecting the modeloptimized to generate the strongest forecast for a customer’s unique use case. Digital Twin Model Builders. In short, the graph database can help keep the supply chain model accurate.
Click & Collect, has been gaining popularity as an omnichannel fulfillment model with high returns that can also preserve the in-store experience. This post looks at how click & collect works, why demand for it is trending now, and what retailers can do to ensure click & collect experiences that are also good for their business.
More advanced solutions include real-time transportation visibility, route optimization, and telematics. Understanding when this will roll out, how that roll-out might progress, and what specific autonomous driving model is likely to win in the market, are the biggest questions facing logistics executives.
This article comes from Carlos Díaz Madero, Subdirector Marketing at netLogistiK , and looks at the key trends that are transforming supply chain management. In this context, it is crucial to be aware of the emerging trends transforming the supply chain management field. “There is only one boss. The customer.
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The Technology Behind Autonomous Delivery Vehicles Autonomous delivery vehicles rely on a number of technologies to operate effectively: Artificial Intelligence and Machine Learning: These systems allow ADVs to navigate streets, assess obstacles, and optimize delivery routes.
Meanwhile, advances in AI-driven route optimization reduce unnecessary mileage, cutting emissions and costs. Smart energy management systems further enhance efficiency by tracking and optimizing energy use in real-time. Reducing carbon emissions is a cornerstone of this effort. Sustainability itself can be a driver of revenue growth.
AI and machine learning tools identify patterns, predict issues, and suggest ways to optimize operations. With a deep focus on competitive business intelligence and marketing communications, Jim has a proven track record of guiding organizations through transformative business model shifts.
The common themes around manufacturing trends point to these changes. Shift to a service-oriented business model. As I explained in a previous blog , this is a business model where manufacturers have ongoing responsibility for the equipment after it is sold. The digital factory. Manufacturers thriving on data.
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. The Ukraine-Russia conflict is ongoing. Tensions flare in the Middle East without warning. billion to $23.07
PlanIQ pulls in data from Anaplan and automatically tests several AI/ML algorithms before selecting the modeloptimized to generate the strongest forecast for a customer’s unique use case. Digital Twin Model Builders. In short, the graph database can help keep the supply chain model accurate.
For example, using AI-powered tools to optimize logistics can reduce energy consumption and enhance sustainability. Technology: Tools like blockchain, IoT, and AI are revolutionizing supply chain management by providing real-time insights, enhancing traceability, and optimizing resource utilization.
So, what are the major ERP software trends and how will they unfold in the coming year? This allows the ERP system to optimize workflows, shorten lead times, and reduce errors related to data import and processing. The post Tech trends transforming ERP in 2022 appeared first on SYSPRO Blog.
Successful performance measurement and management contribute to enhancements and help to optimize supply chain resources. As a result, companies should create carrier scorecard standards that apply advanced analytics, namely predictive modeling, to consider market volatility and overcome it. Request a SONAR demo online to get started.
Inventory Control Techniques that use Stock Optimization Best Practices. So we thought we’d focus on the lesser known topic of ‘stock optimization’ – this is an inventory control technique that’s becoming more popular with inventory managers to improve the efficiency of their supply chain. What is stock optimization?
In addition, businesses are working to optimize their transportation networks to reduce emissions and improve efficiency. This can include the adoption of circular supply chain models, where waste products are reused or recycled as inputs for other processes.
Here are three trends to consider. . Many are relying on advanced analytics to optimize their supply chain for sustainability. The Institute of Forest Management from the Technical University of Munich developed an AIMMS model that helps forest enterprises consider risks and strategies for carbon mitigation.
An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains. By leveraging integrated scenario planning (ISP) tools, procurement teams can model potential disruptions and develop contingency plans in advance.
In manufacturing, performance improvement, cost reduction and process optimization are crucial. Given the recent developments in computing and the ability of AI models to learn and adapt, AI and ML will increasingly be used to improve efficiency, productivity, and creativity across manufacturing. What is AI and ML?
Understanding their trends is crucial for maximizing marketing ROI and driving business growth. By ranking prospects and customers into ten groups, from least likely to buy to most likely, green industry businesses can pinpoint high-value clients, optimize marketing campaigns and allocate resources more efficiently.
Similarly, today’s emerging last-mile delivery fulfillment models seemed like a gamble for businesses when it started a decade back but are essential for a profitable business plan today. The answer depends on the last-mile delivery fulfillment model you adapt. Optimal final-mile delivery fulfillment is crucial for business.
Optimize Inventory Management Inventory often represents one of the largest expenses in a supply chain. By leveraging predictive analytics and a just-in-time (JIT) inventory model, you can maintain optimal stock levels, which reduces storage costs and cuts down on waste from unsold items.
Before we look at the barriers to optimal inventory and the possible ways to eliminate or overcome them, let’s be clear on what inventory optimisation means—because misconceptions do abound. But ultimately, it comes down to what you assess as optimal inventory performance for your organisation. 1: Service Levels.
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