Automated Forecasting


A successful demand planning process accurately forecasts demand and revenue streams, and subsequently drives the next steps in the S&OP process which are Inventory, Supply Planning, and Optimization. Automated Forecasting was first posted on September 14, 2021 at 8:38 am. ©2017

How Forecastable is Your Data?


Having access to an accurate forecast is very beneficial for businesses. How Forecastable is Your Data? If used correctly, it can provide better margins, increase market shares, and many other positive results.


Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Going Beyond Historical Data for Forecast Accuracy


Our focus in this blog series has been to establish forecast accuracy targets. In very general terms, the goal should be to add value to the business through the forecasting process. Going Beyond Historical Data for Forecast Accuracy was first posted on October 25, 2021 at 7:59 am. ©2017

Simplifying Probabilistic Forecasting


In episode nine of Be Ready for Anything, supply chain expert Stefan de Kok breaks down the basics of probabilistic forecasting. I’m your host, Mary Vasile, and today I’m delighted to welcome Stefan de Kok who is going to shed some light on probabilistic forecasting.

4 Reasons to Break Up With Excel and Move to Digital Supply Chain Planning

Trust your supply chain forecasts: adopt a predictive intelligence platform to outperform your supply chain goals, overcome challenges of spreadsheet-based planning, reduce risks, enhance customer satisfaction, and improve the bottom line.

Causal Forecasting Brings Precision to your Forecasting


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.

Your Demand Forecast Is Wrong. Here’s How to Fix It.


But many supply chain practitioners don’t realize that the most common approach to supply chain planning–using a demand-driven forecast as the primary input to future planning–is just as passé. Forecast Accuracy vs. Uncertainty. The Shifting View on Forecast Accuracy.

Probabilistic Planning and Forecasting Demystified


I have been blogging and advocating for the past 15 years on probabilistic approaches to planning and forecasting, and am happy to see in the last few years it has finally started gaining traction and attention. Time is horizontal, forecast quantity vertical.

Don’t Forecast Demand, Model Your Demand


Demand modeling is different from demand forecasting. Simply put, it doesn’t forecast demand, it models demand. Forecasting typically starts with a time series of data—usually presented as a bar chart displaying demand by month or by week. Build a probabilistic demand forecast.

Get Started Using Machine Learning for New Product Forecasting


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.

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.

Melitta: Collaborating for an Improved Forecasting Process


Melitta Sales Europe (MSE) embarked on an initiative to revamp existing planning and forecasting processes to increase efficiency and sustainability. MSE’s prioritization of its close internal collaboration strengthens the precision of its forecasts, ensuring a more robust S&OP process.

Demand Planning: Differentiated Forecast Strategy


Some time ago, I had been trying to help a business improve its statistical forecasting. We tried different parameters and different forecasting algorithms but the statistical forecast for about half of the products could not be improved no matter what we tried.

4 Aggregation Mistakes When Reporting Forecast Accuracy


It is important to measure and improve the forecast accuracy at the right level of aggregation. If you measure at too high a level, your accuracy picture will look better than what it needs to be as the data at high (aggregated) levels is more forecastable.

Relationship Between Forecast Accuracy and Safety Stocks


The cycle stock is the one most connected to the demand forecast; it is expected to be sold as the forecast becomes real demand. As such, it is not always linked to forecasting accuracy.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

Forecasting Over the Product Life Cycle


Demand forecasting is tough, and getting it right over the entire product lifecycle during the course of launch, maturation, and end-of-life is tougher still. New data sources and machine learning automation are also making improvements to forecasting the product life cycle.

Time Series Forecasting Basics


In this blog we briefly cover some key insights for successful time series forecasting: (a) Profiling the Shape of the Curve is the first stage, and the first step is assessing if the time series is stationary. (b) Time Series Forecasting Basics was first posted on April 6, 2021 at 9:03 am. ©2017

Probabilistic Forecasting - a Primer


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.

FMCG Forecasting: Ice cream, chocolate & pregnancy….

Enchange Supply Chain Consultancy

Humour S&OP Forecasting & Demand Planning Sales Inventory Management & Stock ControlPlease bear with me for a while on this one; I will get to the Supply Chain stuff eventually.

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. How many distribution centers do we even need, and is that number feasible?

For Distributors, Mitigating Supply Uncertainty Begins with a Better Forecast


Accurate forecasting of uncertain demand. Probabilistic forecasting then produces a range of possible outcomes with probabilities assigned to all values within the range. It goes beyond the “demand forecast number” to the probability of demand in any given time period.

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


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

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


Listen to “Inventory Forecasting Lessons for Improved Supply Chain Network Optimization” on Spreaker. The post [PODCAST] Inventory Forecasting Lessons for Improved Supply Chain Network Optimization appeared first on Transportation Management Company | Cerasis.

Meet Demands For Supermarkets With AI-Driven Demand Forecasting


When demand can be anticipated with accuracy, it can be delivered efficiently with demand forecasting techniques. . Therefore, it is essential to switch to a supply chain model that acts on the forecasted demand to cut down wastages, enhance viability and eliminate bottlenecks.

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.

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


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

Turn a Good Demand Forecast into the Optimum Inventory Plan


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.

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.

Improve Forecast Quality and Reliability with Value-add Forecasting (Part 1)


The ability to effectively forecast demand is essential for supply chain management decisions. In fact, demand forecasts are used throughout the supply chain including supply chain design, purchasing, operations, inventory, and sales and marketing. value-add forecasting today.

Overcoming the Accuracy vs Agility Trade-Off in Demand Planning & Forecasting

Agility and accuracy don’t necessarily need to be at logger heads. In-fact, anticipatory agility enabled by AI and Machine Learning can move the accuracy frontier forward in terms of validity and consistency driving significant business value.

The Problem with Forecast-Driven Supply Chain Planning


The post The Problem with Forecast-Driven Supply Chain Planning appeared first on AIMMS


Cognitive Automation in Planning & Forecasting

Supply Chain Trend

I recently presented at the 41st ISF symposium from the International Institute of Forecasters , where I discussed #cognitiveautomation in planning & forecasting, which is availably in this video (25 min).

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 ForcastNo one understands this as intimately as Apple, who is fresh off of its much-anticipated iPhone X, 8 and 8 Plus product announcements.

A Primer on Probabilistic Forecasting

The Smart Software

If you keep up with the news about supply chain analytics, you are more frequently encountering the phrase “probabilistic forecasting.” Probabilistic forecasts have the ability to simulate future values that aren’t anchored to the past.

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