[PODCAST] Inventory Forecasting Lessons for Improved Supply Chain Network Optimization

Cerasis

Listen to “Inventory Forecasting Lessons for Improved Supply Chain Network Optimization” on Spreaker. Supply Chain Resources to Download The Supply Chain Trends to Know in 2020 Download White Paper Why Blockchain will Create Extreme Supply Chain Management Optimization Download White Paper Revenue Growth At The Hand Of Improved Digital Supply Chains Download White Paper The.read More.

Melitta: Collaborating for an Improved Forecasting Process

ToolsGroup

When the COVID-19 outbreak began, the company quickly transitioned into face mask production, supplying hospitals and healthcare facilities with millions of units of coffee-filter-shaped PPE.

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Causal Forecasting Brings Precision to your Forecasting

Logility

Causal f orecasting shines a light on , and isolates, actual demand signals from market “chatter,” thus improving forecast quality. What Exactly Is Causal Forecasting? . First, what it’s not is a replacement for demand forecasting.

Supply Chain Forecasting: The ‘IN’ Thing Today in Logistics

20Cube Logistics

With technology evolving, the logistics companies are looking ahead with automation and digitalisation with forecasting tools as it has the capability to boost operational efficiency, improve warehouse performance and adequately manage the predictive analysis.

How is Demand Forecasting changing? How do you compare to your peers?

AIMMS conducted research to assess how supply chain teams perceive the accuracy of their forecast and discover the tools and techniques they are using to upgrade the forecasting process. In this report, you will find helpful benchmarks and insights offered by your peers on the latest demand forecasting techniques, forecast granularity and periodicity, and expectations for the future.

How do supply chain professionals rate their demand forecast’s accuracy?

AIMMS

Part I in our series on assessing your Demand Forecasting process. Is your demand forecasting process evolving with the times? Are you satisfied with your level of forecast accuracy? We are running a quiz to help supply chain professionals address these questions. Which function is responsible for managing the forecast process and who is accountable for accuracy? . How do professionals rate their demand forecast’s accuracy? .

Get Started Using Machine Learning for New Product Forecasting

ToolsGroup

Adding to this already uphill battle, we don’t have trustworthy new product forecasting methods because forecasting new products with no sales data is very hit-and-miss. Machine learning (ML) provides an effective weapon for your new product forecasting arsenal. In this blog we will share machine learning techniques that can produce fully-automated forecasts for new products. Why is new product forecasting important? Overall reasonably accurate forecasts.

Invest in These Capabilities to Drive Supply Chain Excellence

AIMMS

Insights from Gartner’s Hype Cycle for Supply Chain Strategy, 2020. Supply chain professionals know it can be extremely challenging to drive day-to-day operational excellence and pursue innovation at the same time.

Why is Demand Forecasting important for effective Supply Chain Management?

Arkieva

Demand forecasting forms an essential component of the supply chain process. It’s the driver for almost all supply chain related decisions. While demand forecasting is undeniably important, it’s also one of the most difficult aspects of supply chain planning. Why is Demand Forecasting important for effective Supply Chain Management?

Realizing the Value of Supply Chain Optimization for Tire Manufacturing

DELMIA Quintiq

The establishment of efficient global supply chains has become critical to competitiveness. Supply chain optimization is essential to achieve this and can help tire manufacturing companies deliver significant reductions in supply chain costs and improvements in service levels.

5 Perceptions on Demand Forecasting and How it's Changing

Speaker: Brian Dooley, Director SC Navigator, AIMMS

It’s no secret that demand is getting more difficult to predict. Is your demand forecasting process evolving with the times? How does your process stack up against others? Are you satisfied with your level of forecast accuracy? This webinar shares research findings from a recent survey among supply chain planning professionals to help you answer these questions.

Dealing With The Supply Chain Gloppy Mess

Supply Chain Shaman

For the first in seven years, I was not heads-down preparing for The Supply Chain Insights Global Summit. Pre-pandemic only 30% of supply chain leaders were satisfied with their supply chains, and during the pandemic, business leader satisfaction is falling precipitously.

Machine Learning and AI: Profiling Demand History – A Wiser Forecasting

Arkieva

In the simple version of supply chain management (SCM) the goal for demand forecasting in the tactical decision tier is prediction accuracy. Machine Learning and AI: Profiling Demand History – A Wiser Forecasting was first posted on August 5, 2020 at 8:11 am. ©2017

Simplify Supply Chain Forecasting

Logility

Is 100% forecast accuracy attainable? Anyone that has ever had to forecast demand for products or services knows that obtaining a consistently high forecast accuracy is part science and part magic. Minimizing forecast error requires a background in data analysis and statistics while also having a solid understanding of the products, markets and customers you are trying to predict demand for. Clearly, forecast accuracy is very important.

Top 5 Signs Your Supply Chain is Dysfunctional

The Network Effect

The post Top 5 Signs Your Supply Chain is Dysfunctional appeared first on The Network Effect. Customer Centricity Leadership and Strategy Multiparty Network Network Business Supply Chain Management Technology Visibility cloud forecasting visibility

Machine Learning: A Quantum Leap in Forecast Accuracy for the Modern Supply Chain

Whether you realize it or not, Machine Learning is having a profound impact on your everyday life

Probabilistic Forecasting - a Primer

ToolsGroup

An experienced gambler might hedge their bet on multiple outcomes, rather than just the most likely "single number forecast". At ToolsGroup we have been big advocates of probabilistic forecasting (sometimes also known as stochastic forecasting). Understanding and employing this relatively simple principle can take your forecasting and supply chain planning from ‘good to great’. In this case, forecasting 100 units is a pretty safe bet.

Responding to Supply Chain Disruption Amid COVID-19

AIMMS

It’s taking a profound humanitarian and economic toll , impacting supply cha ins in many ways. Our team put several resources together to help supply chain organizations navigate through this crisis safely. . The next 2-4 weeks are critical to understand the exposure throughout your value chain, take actions to address anticipated shortages , and ensure resource requirements to restart. Using Demand Forecasting Navigator to Study Demand Trends.

What Technology are Teams Using to Support Their Demand Forecasting Process?

AIMMS

Part II in our series on assessing your Demand Forecasting process . In Part I of this series , we looked at supply chain professionals’ perception of forecast accuracy and how they see their forecast evolving in the future. With supply chain complexity on the rise, can new technologies help to improve forecast accuracy and achieve benefits like an optimized inventory and better customer service? review their forecast on a weekly basis.

Five Reflections From Supply Chain Planning Benchmarking

Supply Chain Shaman

In my work with Supply Chain Insights , I immerse myself in learning. I continually question my long-held beliefs on supply chain excellence. . When readers finish a Supply Chain Shaman blog, I want to drive a set of unique takeaways. Today, I am going to share five insights that I have gleaned from our work on Supply Chain Planning Benchmarking. Figure 1: Supply Chain Planning Benchmarking Methodology Overview.

Key Questions for a Successful Distribution Network

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

As we plan for the world of eCommerce and the customer expectation of quick, free shipping, our ability to forecast is turned on its head. Join Irina Rosca, Director of Supply Chain Operations at Helix and an experienced global supply chain strategist, as she walks through the key questions to a successful and efficient distribution network. How to gain end-to-end visibility into any causes of delay in your global supply chain.

Turn a Good Demand Forecast into the Optimum Inventory Plan

ToolsGroup

How Do You Turn a Good Demand Forecast into the Optimum Inventory Plan? Your customers don’t care if you have a great demand forecast. How do you turn a good forecast into a great inventory plan? About 15 years ago, many forecasting solutions turned to multi-echelon optimization.

Insight from Applied Statisticians for Forecasting: Is It Worth the Effort and the Mirage of Random Variation

Arkieva

Insight from Applied Statisticians for Forecasting: Is It Worth the Effort and the Mirage of Random Variation was first posted on October 14, 2020 at 8:09 am. ©2017 ©2017 " Supply Chain Link Blog - Arkieva " Use of this feed is for personal non-commercial use only.

Dreaming about accurate forecasts?

DELMIA Quintiq

There is a saying among forecast users: “ If you forecast, you may be wrong; but you will always be wrong if you do not forecast.”. But how much faith are companies willing to place in inaccurate forecasts? Many companies use demand forecasts that are based solely on historical data. However, these forecasts are less effective in a volatile global market facing sociopolitical challenges, such as trade wars and Brexit.

Demand Planning & Forecasting During COVID-19 [Webinar]

CHAINalytics

Last month, Chainalytics’ Neelesh Asati moderated a panel discussion on demand planning and forecasting during COVID-19 hosted by Logistics Insider. It was an engaging conversation between supply chain veterans from Kellogg India, Flipkart, 3SC, and CJ Darcl.

Automated Order Processing and Proactive Inventory Management

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

Organizations need to focus on demand driven supply planning, utilizing real time information on customer orders from all marketplaces (e-commence, Amazon - or other online retailers, and point of sale data from brick and mortar). Focusing on this information once per month during the S&OP meeting is too late for all business units to align. Companies should have seamless integration between order entry, inventory management, forecasting and supply planning models and purchase order status to sense risk, pull levers to mitigate potential risk, and communicate within and outside the organization. This is especially important for new product releases, in store programs or promotions (sales, end caps, PDQ. etc) or online promotions (company run or 3rd party). Depending on total supply chain lead time, not having real time visibility and analysis of this information can significantly affect sales and the bottom line.

Why the Forecast for Supply Chain Planning has been Only Partly Cloudy

ToolsGroup

Cloud-based supply chain planning is gaining traction. But cloud-based supply chain planning has not proliferated nearly as fast as many have predicted and "public cloud" (versus "private cloud") i mplementations are still a small minority, leaving a lot of head scratching about why cloud hasn't been as widely adopted as some expected. Supply chain management is a system of record. Supply Chain Planning

Marketing Supply Chain Solutions Post-COVID: Q&A with ToolsGroup CMO Caroline Proctor

ToolsGroup

There’s still a strong demand for supply chain planning solutions, particularly ones with machine learning capabilities that can help clients rapidly adapt to the changing supplier situations and consumer demand that goes along with major disruptions like this. .

Untangling the Complexities of Demand Forecasting

ModusLink Corporation

Whether facing a major product launch or compiling standard monthly forecasts, the accuracy of demand forecasts is crucial. The post Untangling the Complexities of Demand Forecasting appeared first on ModusLink Global Solutions. Manufacturing to Market logistics manufacturing supply chain forecasting Demand Planning Demand Forcast

Another Way to Think About Supply Chain Risk Management

ToolsGroup

In the era of the global supply chain, many companies think about risk management in terms of “ macro agility ”—their ability to anticipate the likelihood of, and develop readiness plans for, major crises that impact the chain, like geopolitical instability and extreme weather. Micro agility requires supply and demand modeling that can predict the probability of various outcomes—and how much uncertainty there is in those predictions.

What Is Reverse Logistics’ Role in 2020 Supply Chain Trends

Cerasis

The global reverse logistics market is forecast to hit US$603.90 The post What Is Reverse Logistics’ Role in 2020 Supply Chain Trends appeared first on Transportation Management Company | Cerasis. Reverse Logistics Supply Chain TrendsAs customers continue to shop online through the remainder of the year, the demand on reverse logistics—particularly the process of managing returns—will skyrocket. It’s the same story; customers want more and more.

Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

The COVID-19 pandemic has exposed many risks and uncertainties in supply chain networks. Current Technologies in Use for Supply Chain Network Design . Prolonged shutdowns have both financial and operational implications, which are often very difficult to assess due to the complexity and far-reaching nature of supply chains. Network design is only one of the many pieces of the supply chain planning puzzle.

Now More Than Ever: Supply Chain Analytics for Demand Forecasting

Blue Ridge

The post Now More Than Ever: Supply Chain Analytics for Demand Forecasting appeared first on Blue Ridge. Blogs and Articles covid-19 demand forecasting supply chain analytics uncertainty

Multiple View Forecasting

Operations and Supply Chain Management

Multiple View Forecasting. Using a Multiple View Approach to forecasting has become an imperative. This market perspective is used as one input to the company’s volumetric forecast. A technique called “Focus Forecasting” (fitted forecast) is typically used.

Probabilistic Forecasting and Confidence Intervals

Arkieva

Historically, most of the key planning and computational activities (models, time series, machine learning, and other analytics) that support extended supply chain management (SCM) are “deterministic models”. Probabilistic Forecasting and Confidence Intervals was first posted on September 27, 2019 at 11:18 am. ©2017 ©2017 " Supply Chain Link Blog - Arkieva " Use of this feed is for personal non-commercial use only.

Boost productivity through supply chain resiliency, demand forecasting, & inventory planning

IT Supply Chain

The post Boost productivity through supply chain resiliency, demand forecasting, & inventory planning appeared first on IT Supply Chain. By Avtar Dhillon (pictured). Director, Business Value Consulting, ThoughtSpot.