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Open Sky Group, a global leader in supply chain execution solutions, has announced a strategic partnership with Easy Metrics , a premier provider of labor management and warehouse performance management solutions.
He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers. During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability.
The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Addressing Energy Challenges in Logistics The logistics sector is a significant contributor to greenhouse gas emissions.
Solvoyo has a metric they call the user acceptance rate. This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. Forecasting is not an actionable item.” That’s an action.
However, as carbon taxes and emissions reporting requirements continue increasing, supply chain professionals face mounting pressures from inside and outside their organizations to measure and improve performance against new, nebulous sustainability metrics. Freight transportation makes up over 10% of total global carbon emissions.
When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!
If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? Artificial intelligence and machine learning ( AI/ML ) can improve forecast accuracy, but a bigger problem is the failure to set accurate expectations around forecasting models, not the accuracy of the models themselves.
For instance, advanced factory scheduling solutions use predictive maintenance inputs, which rely on sensor data to forecast equipment failures. Short-term forecasting relies on POS and other forms of downstream data. Not all the transactional data, just the data required to calculate a metric or make a decision.
With freight transport accounting for a significant share of global emissions, efforts to improve logistics now extend beyond operational metrics to include resilience, regulatory compliance, and climate performance. CEVA Logistics, a CMA CGM subsidiary, uses Googles AI tools for warehouse management and demand forecasting.
When a new tariff is proposed, companies using AI-based forecasting tools are often able to adjust their sourcing or logistics strategies well before the policy takes effect. Rather than planning based on a single forecast, supply chain teams can evaluate multiple options in parallel: What happens if tariffs increase by 15%?
An organization with tens of thousands of different products may have to move them across many modes of transportation, IT systems, and third-party logistics partners, all adding to complexity, as well as loss of visibility and control. The ability to meet fulfillment goals is impeded by several issues.
In an increasingly competitive logistics landscape, these capabilities allow companies to remain agile and cost-effective. Protecting sensitive data—such as vehicle locations, driver information, and operational metrics—requires rigorous cybersecurity measures.
Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. This segment is in the growth stage of its evolution, serving large enterprise brands and their Logistics, Procurement and Supply Chain teams. Access accurate freight rate forecasts that are over 95% accurate on more than 7 million daily predictions.
The system also contributes to better forecasting accuracy. Built-In Sustainability Reporting Some orchestration tools are adding carbon tracking or energy use metrics alongside cost and delivery performance data. The factory uses this information to make scheduling and inventory decisions more efficiently.
AI-driven predictive maintenance can also forecast potential issues before they occur, reducing downtime and improving product reliability. This integration includes tracking individual components and collecting data on environmental impact, including sustainability metrics such as carbon footprint and recyclability.
This means going beyond high-level forecasts to embrace tools and practiceslike Demand Collaboration, Scenario Planning, and detailed modelingthat make Sales & Operations Planning actionable, dynamic, and performance-driven. As Gartner highlights, companies tend to prioritize improving forecast accuracy to strengthen S&OP results.
beef from 1,000 to 13,000 metric tons , removing the 20% tariff within that limit. Cost Forecasting : The 10% tariff baseline increases landed costs and may affect margin forecasts across multiple sectors. The post US-UK Trade Deal – Key Provisions and Supply Chain Implications appeared first on Logistics Viewpoints.
Do Set Clear KPIs and Governance Structures : Establish transparent metrics for sales, coverage, and service levels. Do Embrace Technology and Data : Use real-time data for demand forecasting, inventory management, and route optimization. A well-equipped distributor is an extension of your brand and a key to market penetration.
Forecasting projections is one of the toughest things to get right. Whether your brand is experiencing gradual sales or is in high-growth mode , we’ll walk you through some tips to improve your ability to forecast demand. Jump to section: What is demand forecasting? Jump to section: What is demand forecasting? Conclusion.
A planner could ask the SCP engine to achieve 95% service, with CO2 emissions under a million metric tons at a given factory in the coming month. These forecasts occur in three different time horizons: Long-term planning. Often called strategic planning, this is a forecast spanning 1 – 5 years. Medium-term planning.
Supply chain optimization is crucial for enhancing efficiency and cost-effectiveness by providing end-to-end visibility, aligning with demand forecasts, and continuously improving processes through technology and analytics. Demand Forecasting: Analyze past data to predict future needs.
We’ll examine the key components of efficient supply chains, explore essential performance metrics, and uncover the fundamental drivers that influence efficiency. Automate supply chain processes to enhance efficiency and accuracy within logistics operations. This post delves into the core drivers of supply chain efficiency.
A study by E2open – the 2021 Forecasting and Inventory Benchmark Study: Supply Chain Performance During the Covid-19 Pandemic – provides the answers. Benchmarking the forecasting process is difficult. Forecasting Accuracy Was Terrible . No matter what kind of demand planning solution was used, forecasting accuracy dropped.
Digital twins are emerging as digital transformation accelerators for supply chain and logistics organizations seeking enterprise-level visibility, real-time scenario modeling, and operational agility under disruption. Heres how the concept plays out in real-world logistics: 1.
Already upended for two years by the COVID-19 pandemic, the worldwide logistics industry is facing new challenges. 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.
This company leverages AI and automation across multiple layers of its supply chain, including forecasting, replenishment, and transportation logistics. Minimize Manual Forecasting Adjustments : For this manufacturer, planners dont touch the forecast, focusing instead on strategic oversight.
In the intricate world of supply chain management, the accuracy of demand forecasting often serves as the cornerstone of business growth. Yet, despite its significance, demand forecasting continues to be a thorny issue for many businesses, particularly manufacturers. What is Demand Forecasting Accuracy? Let’s get started!
MTSS platforms facilitate hands-on projects where learners can apply statistical methods to identify trends, forecast demand, and optimize inventory levels. For instance, students might be tasked with developing a logistics plan that involves coordinating with multiple stakeholders to ensure the timely delivery of goods.
And now on to this week’s logistics news. percent drop in annual sales, UPS forecast a 2024 upswing of as little as 1.1 percent year-on-year decline in cargo ton miles to 1.8bn, although this metric increased by 9.5 The post This Week in Logistics News (January 27 – February 2) appeared first on Logistics Viewpoints.
The Emergence of Logistics as Constraint. Advanced planning tools(APS) never considered the issues of logistics. Availability of logistics was always assumed. With the contraction of air capacity and the unprecedented level of imports to the United States from Asia, logistics constraints grew in importance in the pandemic.
I informed our readers that ARC Advisory Group/Logistics Viewpoints is conducting a survey to determine the perceptions, priorities, and strategic initiatives of today’s supply chain and logistics executives. Earlier this month in the post titled What Does 2023 Have In-Store for Global Supply Chains? , More to come!
SCM is focused on efficiency, throughput, and resilience across a much wider operational footprint and requires coordination between manufacturing, logistics and supply chain, and demand planning teams to ensure timely fulfillment and quality assurance.
Koganti said this is the fastest-growing use of AI in supply chain, especially when it comes to forecasting, procurement and fulfillment. He sees a near future in which there are multiple agents, each with their own realm of responsibility, such as shipping, pricing and forecasting.
By fostering collaboration across all stakeholders, including suppliers, manufacturers, and logistics providers, companies can enhance visibility, streamline processes, and proactively address disruptions. The post The Power of Purchase Order Collaboration: A Game-Changer in Managing Direct Spend appeared first on Logistics Viewpoints.
To keep customers like my dad satisfied, RGD and Quick-commerce companies need to invest in new technologies to optimize the supply chain and logistics operations. I have to forecast my avocado sales, including seasonal patterns and promotional effects. Crowdsourcing of Drivers and Rider Forecasting. Route Optimization.
It could write poetry, generate code, or answer inquiries about next months forecast. The connected ecosystem of composition agents works across fulfillment, procurement, planning, and logistics. But 2025 ushered a momentous change to everything we know about autonomy: goal-driven AI.
Supply chain and logistics teams today face a pivotal moment in their evolution. The traditional metrics of excellence cost efficiency, on-time delivery while still important, are no longer sufficient in an era defined by volatility, complexity and political changes. Third, decision-making is evolving from human-led to AI-augmented.
I’ll describe three of the top areas: seamless collaboration, improved forecast accuracy embedded in the supply chain workflow, and disruption response. Historically these roles are siloed, focused on their own functional metrics. Had we forecasted that, we would have built a different supply chain.”
Transportation metrics saw little change in May as capacity, utilization and pricing remained in expansion territory, according to a monthly survey of supply chain professionals. The Logistics Managers’ Index – a diffusion index in which a reading above 50 indicates expansion while one below 50 signals contraction – had a 54.7
It would be tempting to think of reverse logistics as forward logistics done backwards. Reverse logistic isn’t simply a reverse gear. Reverse logistics can also have a dramatic effect on steering a company’s fortunes. Reverse logistics is therefore worth doing, and worth doing properly.
And the linked nature of supply chains mean that collaboration is necessary to ensure that a solution to a problem doesn’t meet the metrics for one link but negatively impact another. For example, it can be more effective to make a series of forecasts, accounting for a range of outcomes from aggressive to conservative.
This requires using advanced analytics to analyze historical demand patterns, link the demand peaks to the promotional offers, and adjust future forecasts based on planned promotions. appeared first on Logistics Viewpoints. The post Why Is Promotion Planning Important In Inventory Management?
The key solutions are demand forecasting/inventory optimization, supply planning, and network design. A planner could ask the SCP engine to achieve 95% service, with CO2 emissions under of under a million metric tons at a given factory in the coming month. Here the savings are based on transportation and facility cost savings.
About Pull Logic Pull Logic is based on research out of the Georgia Institute of Technology and the work of Dr. Benoit Montreuil who leads the Supply Chain and Logistics Institute there and solves the $1.8 Explore how accurate demand forecasting and inventory optimization ensure the right products are available for customers.
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